diff --git a/.github/workflows/black.yml b/.github/workflows/black.yml
index bec47fdc5..cebee50a0 100644
--- a/.github/workflows/black.yml
+++ b/.github/workflows/black.yml
@@ -1,4 +1,4 @@
-name: Lint
+name: black
 
 on:
   push:
diff --git a/.github/workflows/ci-pygfx-release.yml b/.github/workflows/ci-pygfx-release.yml
new file mode 100644
index 000000000..e93f82fd5
--- /dev/null
+++ b/.github/workflows/ci-pygfx-release.yml
@@ -0,0 +1,88 @@
+name: CI
+
+on:
+  push:
+    branches:
+      - main
+  pull_request:
+    branches:
+      - main
+    types:
+      - opened
+      - reopened
+      - synchronize
+      - ready_for_review
+
+jobs:
+  test-build-full:
+    name: Tests - pygfx release
+    timeout-minutes: 25
+    if: ${{ !github.event.pull_request.draft }}
+    strategy:
+      fail-fast: false
+      matrix:
+        python: ["3.11", "3.12", "3.13"]
+        imgui_dep: ["imgui", ""]
+        notebook_dep: ["notebook", ""]
+        os: ["ubuntu-latest", "macos-latest"]
+    runs-on: ${{ matrix.os }}
+    steps:
+    - uses: actions/checkout@v4
+      with:
+        lfs: true
+    - name: Set up Python
+      uses: actions/setup-python@v5
+      with:
+        python-version: ${{ matrix.python }}
+    - name: Install llvmpipe and lavapipe for offscreen canvas
+      if: ${{ matrix.os == 'ubuntu-latest' }}
+      run: |
+        sudo apt-get update -y -qq
+        sudo apt-get install --no-install-recommends -y ffmpeg libegl1-mesa-dev libgl1-mesa-dri libxcb-xfixes0-dev mesa-vulkan-drivers xorg-dev
+    - name: Set up Homebrew
+      if: ${{ matrix.os == 'macos-latest' }}
+      id: set-up-homebrew
+      uses: Homebrew/actions/setup-homebrew@master
+    - name: Install gsed
+      if: ${{ matrix.os == 'macos-latest' }}
+      run: |
+        brew install gnu-sed
+        echo "/opt/homebrew/opt/gnu-sed/libexec/gnubin" >> "$GITHUB_PATH"
+    - name: Install fastplotlib
+      run: |
+        # create string with one of: tests,imgui,notebook; test,imgui; test,notebook ; tests
+        # sed removes trailing comma
+        # install fastplotlib with given extras options from above
+        pip install -e ".[$(echo "tests,${{ matrix.imgui_dep }},${{ matrix.notebook_dep }}" | sed -e "s/,\+/,/g" -e "s/,$//")]"
+    - name: Show wgpu backend
+      run:
+        python -c "from examples.tests.testutils import wgpu_backend; print(wgpu_backend)"
+    - name: Test components
+      env:
+        WGPU_FORCE_OFFSCREEN: 1
+      run: |
+        pytest -v tests/
+    - name: Test examples
+      env:
+        WGPU_FORCE_OFFSCREEN: 1
+      run: |
+        pytest -v examples/
+    - name: Test examples notebooks, exclude ImageWidget notebook
+      if: ${{ matrix.notebook_dep == 'notebook' }}
+      env:
+        FASTPLOTLIB_NB_TESTS: 1
+      # test notebooks, exclude ImageWidget notebooks
+      run: pytest --nbmake $(find ./examples/notebooks/ -maxdepth 1 -type f -name "*.ipynb" ! -name "image_widget*.ipynb" -print | xargs)
+    - name: Test ImageWidget notebooks
+      # test image widget notebooks only if imgui is installed
+      if: ${{ matrix.notebook_dep == 'notebook' && matrix.imgui_dep == 'imgui' }}
+      env:
+        FASTPLOTLIB_NB_TESTS: 1
+      run: pytest --nbmake $(find ./examples/notebooks/ -maxdepth 1 -type f -name "image_widget*.ipynb" -print | xargs)
+    - uses: actions/upload-artifact@v4
+      if: ${{ failure() }}
+      with:
+        name: screenshot-diffs-${{ matrix.pyversion }}-${{ matrix.imgui_dep }}-${{ matrix.notebook_dep }}
+        path: |
+          examples/diffs
+          examples/notebooks/diffs
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 9adb67f77..0f50b9623 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -14,228 +14,81 @@ on:
       - ready_for_review
 
 jobs:
-  docs-build:
-    name: Docs
-    runs-on: bigmem
-    if: ${{ !github.event.pull_request.draft }}
-    strategy:
-      fail-fast: false
-    steps:
-    - uses: actions/checkout@v3
-    - name: Set up Python 3.11
-      uses: actions/setup-python@v4
-      with:
-        python-version: 3.11
-    - name: Install llvmpipe and lavapipe for offscreen canvas, and git lfs
-      run: |
-        sudo apt-get update -y -qq
-        sudo apt-get install --no-install-recommends -y libegl1-mesa libgl1-mesa-dri libxcb-xfixes0-dev mesa-vulkan-drivers git-lfs
-    - name: Install pandoc v3.14, nbsphinx complains about older pandoc versions
-      run: |
-        wget https://github.com/jgm/pandoc/releases/download/3.1.4/pandoc-3.1.4-1-amd64.deb
-        sudo apt-get install ./pandoc-3.1.4-1-amd64.deb
-    - name: Install dev dependencies
-      run: |
-        python -m pip install --upgrade pip setuptools
-        # remove pygfx from install_requires, we install using pygfx@main
-        sed -i "/pygfx/d" ./setup.py
-        pip install git+https://github.com/pygfx/pygfx.git@main
-        pip install -e ".[notebook,docs,tests]"
-    - name: Build docs
-      run: |
-        cd docs
-        make html SPHINXOPTS="-W --keep-going"
-
   test-build-full:
-    name: Test Linux, notebook + glfw
-    runs-on: bigmem
+    name: Tests
+    timeout-minutes: 25
     if: ${{ !github.event.pull_request.draft }}
     strategy:
       fail-fast: false
       matrix:
-        include:
-          - name: Test py310
-            pyversion: '3.10'
-          - name: Test py311
-            pyversion: '3.11'
-          - name: Test py312
-            pyversion: '3.12'
+        python: ["3.11", "3.12", "3.13"]
+        imgui_dep: ["imgui", ""]
+        notebook_dep: ["notebook", ""]
+        os: ["ubuntu-latest", "macos-latest"]
+    runs-on: ${{ matrix.os }}
     steps:
-    - name: Install git-lfs
-      run: |
-        sudo apt install --no-install-recommends -y  git-lfs
-    - uses: actions/checkout@v3
-    - name: Set up Python
-      uses: actions/setup-python@v3
-      with:
-        python-version: ${{ matrix.pyversion }}
-    - name: Install llvmpipe and lavapipe for offscreen canvas
-      run: |
-        sudo apt-get update -y -qq
-        sudo apt-get install --no-install-recommends -y ffmpeg libegl1-mesa libgl1-mesa-dri libxcb-xfixes0-dev mesa-vulkan-drivers git-lfs
-    - name: Install dev dependencies
-      run: |
-        python -m pip install --upgrade pip setuptools
-        # remove pygfx from install_requires, we install using pygfx@main
-        sed -i "/pygfx/d" ./setup.py
-        pip install git+https://github.com/pygfx/pygfx.git@main
-        pip install -e ".["tests"]"
-    - name: Show wgpu backend
-      run:
-        python -c "from examples.tests.testutils import wgpu_backend; print(wgpu_backend)"
-    - name: fetch git lfs files
-      run: |
-        git lfs fetch --all
-        git lfs pull
-    - name: Test examples
-      env:
-        PYGFX_EXPECT_LAVAPIPE: true
-      run: |
-        WGPU_FORCE_OFFSCREEN=1 pytest -v tests/
-        pytest -v examples
-        FASTPLOTLIB_NB_TESTS=1 pytest --nbmake examples/notebooks/
-    - uses: actions/upload-artifact@v3
-      if: ${{ failure() }}
+    - uses: actions/checkout@v4
       with:
-        name: screenshot-diffs
-        path: |
-          examples/desktop/diffs
-          examples/notebooks/diffs
-
-  test-build-desktop:
-    name: Test Linux, only glfw
-    runs-on: bigmem
-    if: ${{ !github.event.pull_request.draft }}
-    strategy:
-      fail-fast: false
-      matrix:
-        include:
-          - name: Test py310
-            pyversion: '3.10'
-          - name: Test py311
-            pyversion: '3.11'
-          - name: Test py312
-            pyversion: '3.12'
-    steps:
-    - name: Install git-lfs
-      run: |
-        sudo apt install --no-install-recommends -y  git-lfs
-    - uses: actions/checkout@v3
+        lfs: true
     - name: Set up Python
-      uses: actions/setup-python@v3
+      uses: actions/setup-python@v5
       with:
-        python-version: ${{ matrix.pyversion }}
+        python-version: ${{ matrix.python }}
     - name: Install llvmpipe and lavapipe for offscreen canvas
+      if: ${{ matrix.os == 'ubuntu-latest' }}
       run: |
         sudo apt-get update -y -qq
-        sudo apt-get install --no-install-recommends -y libegl1-mesa libgl1-mesa-dri libxcb-xfixes0-dev mesa-vulkan-drivers git-lfs
-    - name: Install dev dependencies
+        sudo apt-get install --no-install-recommends -y ffmpeg libegl1-mesa-dev libgl1-mesa-dri libxcb-xfixes0-dev mesa-vulkan-drivers xorg-dev
+    - name: Set up Homebrew
+      if: ${{ matrix.os == 'macos-latest' }}
+      id: set-up-homebrew
+      uses: Homebrew/actions/setup-homebrew@master
+    - name: Install gsed
+      if: ${{ matrix.os == 'macos-latest' }}
+      run: |
+        brew install gnu-sed
+        echo "/opt/homebrew/opt/gnu-sed/libexec/gnubin" >> "$GITHUB_PATH"
+    - name: Install pygx from main
       run: |
         python -m pip install --upgrade pip setuptools
         # remove pygfx from install_requires, we install using pygfx@main
         sed -i "/pygfx/d" ./setup.py
         pip install git+https://github.com/pygfx/pygfx.git@main
-        pip install -e ".["tests-desktop"]"
+    - name: Install fastplotlib
+      run: |
+        # create string with one of: tests,imgui,notebook; test,imgui; test,notebook ; tests
+        # sed removes trailing comma
+        # install fastplotlib with given extras options from above
+        pip install -e ".[$(echo "tests,${{ matrix.imgui_dep }},${{ matrix.notebook_dep }}" | sed -e "s/,\+/,/g" -e "s/,$//")]"
     - name: Show wgpu backend
       run:
         python -c "from examples.tests.testutils import wgpu_backend; print(wgpu_backend)"
-    - name: fetch git lfs files
+    - name: Test components
+      env:
+        WGPU_FORCE_OFFSCREEN: 1
       run: |
-        git lfs fetch --all
-        git lfs pull
+        pytest -v tests/
     - name: Test examples
       env:
-        PYGFX_EXPECT_LAVAPIPE: true
+        WGPU_FORCE_OFFSCREEN: 1
       run: |
-        WGPU_FORCE_OFFSCREEN=1 pytest -v tests/
-        pytest -v examples
-    - uses: actions/upload-artifact@v3
+        pytest -v examples/
+    - name: Test examples notebooks, exclude ImageWidget notebook
+      if: ${{ matrix.notebook_dep == 'notebook' }}
+      env:
+        FASTPLOTLIB_NB_TESTS: 1
+      # test notebooks, exclude ImageWidget notebooks
+      run: pytest --nbmake $(find ./examples/notebooks/ -maxdepth 1 -type f -name "*.ipynb" ! -name "image_widget*.ipynb" -print | xargs)
+    - name: Test ImageWidget notebooks
+      # test image widget notebooks only if imgui is installed
+      if: ${{ matrix.notebook_dep == 'notebook' && matrix.imgui_dep == 'imgui' }}
+      env:
+        FASTPLOTLIB_NB_TESTS: 1
+      run: pytest --nbmake $(find ./examples/notebooks/ -maxdepth 1 -type f -name "image_widget*.ipynb" -print | xargs)
+    - uses: actions/upload-artifact@v4
       if: ${{ failure() }}
       with:
-        name: screenshot-diffs
+        name: screenshot-diffs-${{ matrix.pyversion }}-${{ matrix.imgui_dep }}-${{ matrix.notebook_dep }}
         path: |
-          examples/desktop/diffs
-
-#  test-build-full-mac:
-#    name: Test Mac, notebook + glfw
-#    runs-on: macos-14
-#    if: ${{ !github.event.pull_request.draft }}
-#    strategy:
-#      fail-fast: false
-#      matrix:
-#        include:
-#          - name: Test py310
-#            pyversion: '3.10'
-#          - name: Test py311
-#            pyversion: '3.11'
-#          - name: Test py312
-#            pyversion: '3.12'
-#    steps:
-#    - uses: actions/checkout@v3
-#      with:
-#        lfs: true
-#    - name: Set up Python
-#      uses: actions/setup-python@v3
-#      with:
-#        python-version: ${{ matrix.pyversion }}
-#    - name: Install dev dependencies
-#      run: |
-#        python -m pip install --upgrade pip setuptools
-#        # remove pygfx from install_requires, we install using pygfx@main
-#        pip install -e ".["tests"]"
-#        pip install git+https://github.com/pygfx/pygfx.git@main
-#    - name: Show wgpu backend
-#      run:
-#        python -c "from examples.tests.testutils import wgpu_backend; print(wgpu_backend)"
-#    - name: Test examples
-#      run: |
-#        pytest -v examples
-#        pytest --nbmake examples/notebooks/
-#    - uses: actions/upload-artifact@v3
-#      if: ${{ failure() }}
-#      with:
-#        name: screenshot-diffs
-#        path: |
-#          examples/desktop/diffs
-#          examples/notebooks/diffs
-#
-#  test-build-glfw-mac:
-#    name: Test Mac, glfw
-#    runs-on: macos-14
-#    if: ${{ !github.event.pull_request.draft }}
-#    strategy:
-#      fail-fast: false
-#      matrix:
-#        include:
-#          - name: Test py310
-#            pyversion: '3.10'
-#          - name: Test py311
-#            pyversion: '3.11'
-#          - name: Test py312
-#            pyversion: '3.12'
-#    steps:
-#    - uses: actions/checkout@v3
-#      with:
-#        lfs: true
-#    - name: Set up Python
-#      uses: actions/setup-python@v3
-#      with:
-#        python-version: ${{ matrix.pyversion }}
-#    - name: Install dev dependencies
-#      run: |
-#        python -m pip install --upgrade pip setuptools
-#        # remove pygfx from install_requires, we install using pygfx@main
-#        pip install -e ".["tests-desktop"]"
-#        pip install git+https://github.com/pygfx/pygfx.git@main
-#    - name: Show wgpu backend
-#      run:
-#        python -c "from examples.tests.testutils import wgpu_backend; print(wgpu_backend)"
-#    - name: Test examples
-#      run: |
-#        pytest -v examples
-#    - uses: actions/upload-artifact@v3
-#      if: ${{ failure() }}
-#      with:
-#        name: screenshot-diffs
-#        path: |
-#          examples/desktop/diffs
+          examples/diffs
+          examples/notebooks/diffs
diff --git a/.github/workflows/docs-deploy.yml b/.github/workflows/docs-deploy.yml
new file mode 100644
index 000000000..fe267291a
--- /dev/null
+++ b/.github/workflows/docs-deploy.yml
@@ -0,0 +1,104 @@
+name: Deploy docs
+
+on:
+  push:
+    branches:
+      - main
+  pull_request:
+    branches:
+      - main
+    types:
+      - opened
+      - reopened
+      - synchronize
+      - ready_for_review
+  release:
+    types: [published]
+
+jobs:
+  build-docs:
+    name: "Build and deploy docs"
+    runs-on: ubuntu-latest
+    if: ${{ !github.event.pull_request.draft }}
+    permissions:
+      pull-requests: write
+    strategy:
+      fail-fast: false
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          lfs: true
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: 3.12
+      - name: Install llvmpipe and lavapipe for offscreen canvas
+        run: |
+          sudo apt-get update -y -qq
+          sudo apt-get install --no-install-recommends -y ffmpeg libegl1-mesa-dev libgl1-mesa-dri libxcb-xfixes0-dev mesa-vulkan-drivers
+      - name: Install dev dependencies
+        run: |
+          python -m pip install --upgrade pip setuptools
+          # remove pygfx from install_requires, we install using pygfx@main
+          sed -i "/pygfx/d" ./setup.py
+          pip install git+https://github.com/pygfx/pygfx.git@main
+          pip install -e ".[docs,notebook,imgui]"
+      - name: Show wgpu backend
+        run:
+          python -c "from examples.tests.testutils import wgpu_backend; print(wgpu_backend)"
+      - name: build docs
+        run: |
+          cd docs
+          RTD_BUILD=1 make html SPHINXOPTS="-W --keep-going"
+
+      # set environment variable `DOCS_VERSION_DIR` to either the pr-branch name, "dev", or the release version tag
+      - name: set output pr
+        if: ${{ github.ref != 'refs/heads/main' }}
+        # sets dir to the branch name when it's a PR
+        # ex: fastplotlib.org/ver/feature-branch
+        run: echo "DOCS_VERSION_DIR=$GITHUB_HEAD_REF" >> "$GITHUB_ENV"
+
+      - name: set output release
+        if: ${{ github.ref_type == 'tag' }}
+        # sets dir to the release version tag, ex. v0.3.0 (I think...)
+        # ex: fastplotlib.org/ver/v0.3.0
+        run: echo "DOCS_VERSION_DIR=$GITHUB_REF_NAME" >> "$GITHUB_ENV"
+
+      - name: set output dev
+        if: ${{ github.ref == 'refs/heads/main' }}
+        # any push to main goes to fastplotlib.org/ver/dev
+        run: echo "DOCS_VERSION_DIR=dev" >> "$GITHUB_ENV"
+
+        # upload docs via FTP
+      - name: Deploy docs
+        uses: SamKirkland/FTP-Deploy-Action@v4.3.5
+        with:
+          server: ${{ secrets.DOCS_SERVER }}
+          username: ${{ secrets.DOCS_USERNAME }}
+          password: ${{ secrets.DOCS_PASSWORD }}
+          # built docs
+          local-dir: docs/build/html/
+          # output subdir based on the previous if statements
+          server-dir: ./ver/${{ env.DOCS_VERSION_DIR }}/
+
+      # comment on PR to provide link to built docs
+      - name: Add PR link in comment
+        if: ${{ github.event_name == 'pull_request' }}
+        uses: mshick/add-pr-comment@v2
+        with:
+          message: |
+            📚 Docs preview built and uploaded! https://www.fastplotlib.org/ver/${{ env.DOCS_VERSION_DIR }}
+
+      # also deploy to root if this is a new release
+      # i.e., fastplotlib.org/ points to docs for the latest release
+      - name: Deploy docs
+        if: ${{ github.ref_type == 'tag' }}
+        uses: SamKirkland/FTP-Deploy-Action@v4.3.5
+        with:
+          server: ${{ secrets.DOCS_SERVER }}
+          username: ${{ secrets.DOCS_USERNAME }}
+          password: ${{ secrets.DOCS_PASSWORD }}
+          local-dir: docs/build/html/
+          server-dir: ./  # deploy to the root dir
+          exclude: |  # don't delete the /ver/ dir
+            **/ver/**
diff --git a/.github/workflows/pypi-publish.yml b/.github/workflows/pypi-publish.yml
index 9ebe52b87..780bf4d08 100644
--- a/.github/workflows/pypi-publish.yml
+++ b/.github/workflows/pypi-publish.yml
@@ -21,18 +21,13 @@ jobs:
     runs-on: ubuntu-latest
 
     steps:
-    - name: Install git-lfs
-      run: |
-        sudo apt install --no-install-recommends -y  git-lfs
-    - uses: actions/checkout@v3
-    - name: fetch git lfs files
-      run: |
-        git lfs fetch --all
-        git lfs pull
+    - uses: actions/checkout@v4
+      with:
+        lfs: true
     - name: Set up Python
-      uses: actions/setup-python@v3
+      uses: actions/setup-python@v5
       with:
-        python-version: '3.10'
+        python-version: '3.12'
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
@@ -40,7 +35,7 @@ jobs:
     - name: Build package
       run: python -m build
     - name: Publish package
-      uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29
+      uses: pypa/gh-action-pypi-publish@release/v1
       with:
         user: __token__
         password: ${{ secrets.PYPI_API_TOKEN }}
diff --git a/.github/workflows/screenshots.yml b/.github/workflows/screenshots.yml
index baad8b655..c7f3add5e 100644
--- a/.github/workflows/screenshots.yml
+++ b/.github/workflows/screenshots.yml
@@ -13,46 +13,59 @@ on:
 jobs:
   screenshots:
     name: Regenerate
-    runs-on: bigmem
+    runs-on: ubuntu-latest
+    timeout-minutes: 10
     if: ${{ !github.event.pull_request.draft }}
+    strategy:
+      fail-fast: false
+      matrix:
+        imgui_dep: ["imgui", ""]
     steps:
-      - name: Install git-lfs
-        run: |
-          sudo apt install --no-install-recommends -y  git-lfs
-      - uses: actions/checkout@v3
-      - name: Set up Python 3.11
-        uses: actions/setup-python@v4
+      - uses: actions/checkout@v4
+        with:
+          lfs: true
+      - name: Set up Python 3.12
+        uses: actions/setup-python@v5
         with:
-          python-version: '3.11'
+          python-version: '3.12'
       - name: Install llvmpipe and lavapipe for offscreen canvas
         run: |
           sudo apt-get update -y -qq
-          sudo apt-get install --no-install-recommends -y ffmpeg libegl1-mesa libgl1-mesa-dri libxcb-xfixes0-dev mesa-vulkan-drivers
-      - name: Install dev dependencies
+          sudo apt-get install --no-install-recommends -y ffmpeg libegl1-mesa-dev libgl1-mesa-dri libxcb-xfixes0-dev mesa-vulkan-drivers
+      - name: Install pygx from main
         run: |
           python -m pip install --upgrade pip setuptools
           # remove pygfx from install_requires, we install using pygfx@main
           sed -i "/pygfx/d" ./setup.py
           pip install git+https://github.com/pygfx/pygfx.git@main
-          pip install -e ".["tests"]"
+      - name: Install fastplotlib
+        run: |
+          # create string with one of: tests,imgui,notebook; test,imgui; test,notebook ; tests
+          # sed removes trailing comma
+          # install fastplotlib with with or without imgui depending on build matrix
+          pip install -e ".[$(echo "tests,notebook,${{ matrix.imgui_dep }}" | sed -e "s/,\+/,/g" -e "s/,$//")]"
       - name: Show wgpu backend
         run:
           python -c "from examples.tests.testutils import wgpu_backend; print(wgpu_backend)"
-      - name: fetch git lfs files
-        run: |
-          git lfs fetch --all
-          git lfs pull
-      - name: Test examples
+      - name: Generate screenshots
         env:
           PYGFX_EXPECT_LAVAPIPE: true
         run: |
           # regenerate screenshots
-          REGENERATE_SCREENSHOTS=1 pytest -v examples
-          FASTPLOTLIB_NB_TESTS=1 REGENERATE_SCREENSHOTS=1 pytest --nbmake examples/notebooks/
-      - uses: actions/upload-artifact@v3
+          WGPU_FORCE_OFFSCREEN=1 REGENERATE_SCREENSHOTS=1 pytest -v examples
+      - name: Generate screenshots notebook, exclude image widget
+        env:
+          PYGFX_EXPECT_LAVAPIPE: true
+        run: FASTPLOTLIB_NB_TESTS=1 REGENERATE_SCREENSHOTS=1 pytest --nbmake $(find ./examples/notebooks/ -maxdepth 1 -type f -name "*.ipynb" ! -name "image_widget*.ipynb" -print | xargs)
+      - name: Generate screenshots notebook, include image widget
+        if: ${{ matrix.imgui_dep == 'imgui' }}
+        env:
+          PYGFX_EXPECT_LAVAPIPE: true
+        run: FASTPLOTLIB_NB_TESTS=1 REGENERATE_SCREENSHOTS=1 pytest --nbmake $(find ./examples/notebooks/ -maxdepth 1 -type f -name "image_widget*.ipynb" -print | xargs)
+      - uses: actions/upload-artifact@v4
         if: always()
         with:
-          name: screenshots
+          name: screenshots-${{ matrix.imgui_dep }}
           path: |
-            examples/desktop/screenshots/
+            examples/screenshots/
             examples/notebooks/screenshots/
diff --git a/.readthedocs.yaml b/.readthedocs.yaml
deleted file mode 100644
index ce6b214e4..000000000
--- a/.readthedocs.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-version: 2
-
-build:
-  os: ubuntu-22.04
-  tools:
-    python: "3.11"
-  apt_packages:
-    - libegl1-mesa
-    - libgl1-mesa-dri
-    - libxcb-xfixes0-dev
-    - mesa-vulkan-drivers
-    - libglfw3
-    - pandoc # installs older version of pandoc which nbsphinx complains about, but works for now
-  jobs:
-    post_checkout:
-      # Download and uncompress the binary
-      # https://git-lfs.github.com/
-      - wget https://github.com/git-lfs/git-lfs/releases/download/v3.1.4/git-lfs-linux-amd64-v3.1.4.tar.gz
-      - tar xvfz git-lfs-linux-amd64-v3.1.4.tar.gz
-      # Modify LFS config paths to point where git-lfs binary was downloaded
-      - git config filter.lfs.process "`pwd`/git-lfs filter-process"
-      - git config filter.lfs.smudge  "`pwd`/git-lfs smudge -- %f"
-      - git config filter.lfs.clean "`pwd`/git-lfs clean -- %f"
-      # Make LFS available in current repository
-      - ./git-lfs install
-      # Download content from remote
-      - ./git-lfs fetch
-      # Make local files to have the real content on them
-      - ./git-lfs checkout
-    pre_install:
-      - pip install git+https://github.com/pygfx/pygfx.git@main
-
-sphinx:
-  configuration: docs/source/conf.py
-
-python:
-  install:
-    - method: pip
-      path: .
-      extra_requirements:
-        - docs
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 0786596b4..347275b6a 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -1,221 +1,299 @@
-# Contribution guide
+# Contributing Guide
 
-Contributions are welcome! :smile: 
+`fastplotlib` is a next-generation plotting library built on top of the `pygfx` rendering engine that leverages modern 
+GPU hardware and new graphics APIs to build large-scale scientific visualizations. We welcome and encourage contributions
+from everyone! :smile: 
 
-## Installation
+This guide explains how to contribute: if you have questions about the process, please 
+reach out on [GitHub Discussions](https://github.com/fastplotlib/fastplotlib/discussions).
+
+> **_NOTE:_** If you are already familiar with contributing to open-source software packages, 
+> please check out the [quick guide](#contributing-quick-guide)!
+
+## General Guidelines
+
+Developers are encouraged to contribute to various areas of development. This could include the addition of new features (e.g. 
+graphics or selector tools), bug fixes, or the addition of new examples to the [examples gallery](https://www.fastplotlib.org/ver/dev/_gallery/index.html). 
+Enhancements to documentation and the overall readability of the code are also greatly appreciated. 
+
+Feel free to work on any section of the code that you believe you can improve. More importantly, remember to thoroughly test all
+your classes and functions, and to provide clear, detailed comments within your code. This not only aids others in using the library,
+but also facilitates future maintenance and further development.
+
+For more detailed information about `fastplotlib` modules, including design choices and implementation details, visit the 
+[`For Develeopers`](https://www.fastplotlib.org/ver/dev/developer_notes/index.html) section of the package documentation.
+
+## Contributing to the code 
+
+### Contribution workflow cycle
+
+In order to contribute, you will need to do the following:
+
+1) Create your own branch
+2) Make sure that tests pass 
+3) Open a Pull Request
+
+The `fastplotlib` package follows the [Git feature branch](https://www.atlassian.com/git/tutorials/comparing-workflows/feature-branch-workflow) workflow. In essence, `main` is the primary branch to which no one is allowed to
+push directly. All development happens in separate feature branches that are then merged into `main` once we have determined they are ready. When enough changes have accumulated, a new release is 
+generated. This process includes adding a new tag to increment the version number and uploading the new release to PyPI. 
+
+### Creating a development environment
+
+You will need a local installation of `fastplotlib` which keeps up-to-date with any changes you make. To do so, you will need to fork and clone `fastplotlib` before checking out a new branch.
 
 1. Fork the repo to your own GitHub account, click the "Fork" button at the top:
 
 ![image](https://github.com/kushalkolar/fastplotlib/assets/9403332/82612021-37b2-48dd-b7e4-01a919535c17)
 
-2. Clone the repo and install according to the development instructions. Replace the `YOUR_ACCOUNT` in the repo URL to the fork on your account.  We use [git-lfs](https://git-lfs.com) for storing large files, such as ground-truths for tests, so you will need to [install it](https://github.com/git-lfs/git-lfs#installing) before cloning the repo.
+2. We use [git-lfs](https://git-lfs.com) for storing large files, such as ground-truths for tests, so you will need 
+to [install it](https://github.com/git-lfs/git-lfs#installing) before cloning the repo. If you already have `git-lfs`
+installed, ignore this step. 
+
+3. Clone the repo. Replace the `YOUR_ACCOUNT` in the repo URL to the fork on your account.
 
 ```bash
 git clone https://github.com/YOUR_ACCOUNT/fastplotlib.git
 cd fastplotlib
-
-# install all extras in place
-pip install -e ".[notebook,docs,tests]"
 ```
 
-> If you cloned the repo before installing `git-lfs`, you can run `git lfs pull` at any
+> **_NOTE:_** If you cloned the repo before installing `git-lfs`, you can run `git lfs pull` at any
 > time to download the files stored on LFS
 
-3. Checkout the `main` branch, and then checkout your feature or bug fix branch, and run tests:
+4. Install `fastplotlib` in editable mode with developer dependencies 
 
-If your contributions modify how visualizations look, see the "Tests in detail" section at the very bottom.
+```bash
+# install all extras in place
+pip install -e ".[imgui, notebook, docs, tests]"
+```
+
+5. Add the upstream remote branch:
 
 ```bash
-cd fastplotlib
+git remote add upstream https://github.com/fastplotlib/fastplotlib
+```
+
+At this point you have two remotes: `origin` (your fork) and `upstream` (the official fastplotlib org version). You won't have permission to push to upstream (only `origin`), but 
+this makes it easy to keep your `fastplotlib` up-to-date with the official fastplotlib org version by pulling from upstream: `git pull upstream`.
+
+### Creating a new branch
 
+As mentioned previously, each feature in `fastplotlib` is worked on in a separate branch. This allows multiple people to develop multiple features simultaneously, without interfering with each other's work. To create
+your own branch, run the following from within your `fastplotlib` directory:
+
+```bash
+# switch to the main branch on your local copy
 git checkout main
 
-# checkout your new branch from main
-git checkout -b my-new-feature-branch
+# update your local copy from your fork
+git pull origin main
 
-# make some changes, lint with black
-black .
+# sync your local copy with upstream main
+git pull upstream main
+
+# update your fork's main branch with any changes from upstream
+git push origin main
+
+# create and switch to a new branch, where you'll work on your new feature
+git checkout -b my_feature_branch
+```
+
+After you have made changes on this branch, add and commit them when you are ready:
+
+```bash
+# lint your code
+black . 
 
 # run tests from the repo root dir
+WGPU_FORCE_OFFSCREEN=1 pytest tests/
+
+# desktop examples
 pytest -v examples
+
+# notebook examples
 FASTPLOTLIB_NB_TESTS=1 pytest --nbmake examples/notebooks/
 
-# add your changed files, do not add any changes from screenshot diff dirs
+# add your changed files, do not add any changes from the screenshot diff directory
 git add my_changed_files
 
-# commit changes
-git commit -m "my new feature"
+# commit your changes
+git commit -m "A one-line message explaining the changes made"
 
-# push changes to your fork
-git push origin my-new-feature-branch
+# push to the remote origin
+git push origin my_feature_branch
 ```
+> **_NOTE:_** If your contributions modify how visualizations _look_, see the [Testing details](#testing-details) section at the very bottom.
 
-4. Finally make a **draft** PR against the `main` branch. When you think the PR is ready, mark it for review to trigger tests using our CI pipeline. If you need to make changes, please set the PR to a draft when pushing further commits until it's ready for review scion. We will get back to your with any further suggestions!
+> **_NOTE:_** If your contributions modify the API, you must regenerate the API docs before making a PR, see
+> the [Documenation](#documentation) section below.
 
-## How fastplotlib works
+### Contributing your changes back to `fastplotlib`
 
-Fastplotlib uses the [`pygfx`](https://github.com/pygfx/pygfx) rendering engine to give users a high-level scientific 
-plotting library. Some degree of familiarity with [`pygfx`](https://github.com/pygfx/pygfx) or rendering engines may 
-be useful depending on the type of contribution you're working on. 
+You can make any number of changes on your branch. Once you are happy with your changes, add tests to check that they run correctly and add
+documentation to properly note your changes.
+See below for details on how to [add tests](#adding-tests) and properly [document](#adding-documentation) your code.
 
-There are currently 2 major subpackages within `fastplotlib`, `layouts` and `graphics`. The user-facing public 
-class within `layouts` is `Figure`. A user is intended to create a `Figure`, and 
-then add *Graphics* to subplots within that `Figure`. 
+Now you are ready to make a Pull Request. You can open a pull request by clicking on the big `Compare & pull request` button that appears at the top of the `fastplotlib` repo 
+after pushing to your branch (see [here](https://intersect-training.org/collaborative-git/03-pr/index.html) for a tutorial).
 
-### Graphics
+> **_NOTE:_** Please make sure that you initially make your PR as a **draft** PR against the `main` branch. When you think the PR is ready, mark
+> it for review to trigger tests using our CI pipeline. If you need to make changes, please set the PR back to a draft when pushing further
+> commits until it is ready for review again.
 
-A `Graphic` is something that can be added to a `PlotArea` (described in detail in a later section). All the various 
-fastplotlib graphics, such as `ImageGraphic`, `ScatterGraphic`, etc. inherit from the `Graphic` base class in 
-`fastplotlib/graphics/_base.py`. It has a few properties that mostly wrap `pygfx` `WorldObject` properties and transforms. 
-These might change in the future (ex. `Graphic.position_x` etc.).
+Your pull request should include the following:
+- A summary including information on what you changed and why
+- References to relevant issues or discussions
+- Special notice to any portion of your changes where you have lingering questions (e.g., "was this the right way to implement this?") or
+want reviewers to pay special attention to
 
-All graphics can be given a string name for the user's convenience. This allows graphics to be easily accessed from 
-plots, ex: `subplot["some_image"]`.
+Next, we will be notified of the pull request and will read it over. We will try to give an initial response quickly, and then do a longer in-depth
+review, at which point you will probably need to respond to our comments, making changes as appropriate. We will then respond again, and proceed
+in an iterative fashion until everyone is happy with the proposed changes.
 
-All graphics contain a `world_object` property which is just the `pygfx.WorldObject` that this graphic uses. Fastplotlib 
-keeps a *private* global dictionary of all `WorldObject` instances and users are only given a weakref proxy to this world object. 
-This is due to garbage collection. This may be quite complicated for beginners, for more details see this PR: https://github.com/fastplotlib/fastplotlib/pull/160 . 
-If you are curious or have more questions on garbage collection in fastplotlib you're welcome to post an issue :D. 
+Once your changes are integrated, you will be added as a GitHub contributor. Thank you for being 
+a part of `fastplotlib`!
 
-#### Graphic properties
+### Style Guide
 
-Graphic properties are all evented, and internally we called these "graphic features". They are the various 
-aspects of a graphic that the user can change.
-The "graphic features" subpackage can be found at `fastplotlib/graphics/_features`. As we can see this 
-is a private subpackage and never meant to be accessible to users..
+As far as code style, please adhere to the following guidelines:
 
-##### LineGraphic
+- Longer, descriptive names are preferred (e.g., `x` is not an appropriate name for a variable), especially for anything user-facing,
+such as methods, attributes, or arguments
+- Any public method, property, or attribute must have complete type-annotated docstrings (see below for details). Private methods or
+attributes do not need to have a complete docstring, but they probably should.
 
-For example let's look at `LineGraphic` in `fastplotlib/graphics/line.py`. Every graphic has a class variable called 
-`_features` which is a set of all graphic properties that are evented. It has the following evented properties: 
-`"data", "colors", "cmap", "thickness"` in addition to properties common to all graphics, such as `"name", "offset", "rotation", and "visible"` 
+### Releases
 
-Now look at the constructor for the `LineGraphic` base class `PositionsGraphic`, it first creates an instance of `VertexPositions`. 
-This is a class that manages vertex positions buffer. It defines the line, and provides additional useful functionality. 
-For example, every time that the `data` is changed, the new data will be marked for upload to the GPU before the next draw. 
-In addition, event handlers will be called if any event handlers are registered. 
+We create releases on GitHub and distribute via [pypi](https://pypi.org/), and try to follow [semantic versioning](https://semver.org/):
 
-`VertexColors`behaves similarly, but it can perform additional parsing that can create the colors buffer from different 
-forms of user input. For example if a user runs: `line_graphic.colors = "blue"`, then `VertexColors.__setitem__()` will 
-create a buffer that corresponds to what `pygfx.Color` thinks is "blue". Users can also take advantage of fancy indexing, 
-ex: `line_graphics.colors[bool_array] = "red"` :smile: 
+> Given a version number MAJOR.MINOR.PATCH, increment the:
+> 1. MAJOR version when you make incompatible API changes
+> 2. MINOR version when you add functionality in a backward compatible manner
+> 3. PATCH version when you make backward compatible bug fixes
 
-`LineGraphic` also has a `VertexCmap`, this manages the line `VertexColors` instance to parse colormaps, for example: 
-`line_graphic.cmap = "jet"` or even `line_graphic.cmap[50:] = "viridis"`.
+To release a new version, we [create a GitHub release](https://docs.github.com/en/repositories/releasing-projects-on-github/managing-releases-in-a-repository) with a new tag incrementing the version as described above. 
+Creating the GitHub release will trigger the deployment to pypi, via our `deploy` action (found in `.github/workflows/pypi-publish.yml`). 
+The built version will grab the version tag from the GitHub release, using [setuptools_scm](https://github.com/pypa/setuptools_scm).
 
-`LineGraphic` also has a `thickness` property which is pretty simple, and `DeletedFeature` which is useful if you need 
-callbacks to indicate that the graphic has been deleted (for example, removing references to a graphic from a legend).
+### Testing 
 
-Other graphics have properties that are relevant to them, for example `ImageGraphic` has `cmap`, `vmin`, `vmax`,
-properties unique to images.
+#### Testing Details
 
-#### Selectors
+As a plotting library we require two layers of testing. 1) We use a backend test suite that verifies the basic functionality of buffer managers, 
+graphics, layouts, etc., and 2) another test suite which verifies that the library renders plots that are visually correct.
 
-Selectors are a fairly new subpackage at `fastplotlib/graphics/selectors` which is likely to change significantly 
-after https://github.com/pygfx/pygfx/pull/665 . This subpackage contains selection tools, such as line selectors
-(horizontal or vertical lines that can be moved), linear region selectors, and a primitive polygon drawing selection tool. 
-All selector tools inherit from `BaseSelector` in `graphics/selectors/_base_selector.py` but this is likely to change 
-after the aforementioned `Input` class PR in `pygfx` and after https://github.com/fastplotlib/fastplotlib/pull/413 .
+In order to do this, each example within the `examples` directory is run and an image of the canvas is taken and compared 
+with a ground-truth screenshot that we have manually inspected. Ground-truth images are stored using `git-lfs`.
 
-### Layouts
+The ground-truth images are located in:
 
-#### PlotArea
+```
+examples/desktop/screenshots
+examples/notebooks/screenshots
+```
+
+The tests will produce slightly different imperceptible (to a human) results on different hardware when compared to the 
+ground-truth. A small RMSE tolerance has been chosen, `0.025` for most examples. If the output image and 
+ground-truth image are within that tolerance the test will pass. 
 
-This is the main base class within layouts. Subplots within a `Figure` and `Dock` areas within a `Subplot`, 
-inherit from `PlotArea`.
+Some feature development may require the ground-truth screenshots to be updated. In the event that your changes require
+this, please do the following: 
 
-`PlotArea` has the following key properties that allow it to be a "plot area" that can be used to view graphical objects:
+1. Download the regenerated screenshots from the [`fastplotlib` GitHub Actions page](https://github.com/fastplotlib/fastplotlib/actions/workflows/screenshots.yml) for your specific PR
 
-* scene - instance of `pygfx.Scene`
-* canvas - instance of `WgpuCanvas`
-* renderer - instance of `pygfx.WgpuRenderer`
-* viewport - instance of `pygfx.Viewport`
-* camera - instance of `pygfx.PerspectiveCamera`, we always just use `PerspectiveCamera` and just set `camera.fov = 0` for orthographic projections
-* controller - instance of `pygfx.Controller`
+2. Replace only the screenshots that your PR changes in your local `fastplotlib` screenshots directories with those downloaded 
 
-Abstract method that must be implemented in subclasses:
+```
+examples/desktop/screenshots
+examples/notebooks/screenshots
+```
 
-* get_rect - musut return [x, y, width, height] that defines the viewport rect for this `PlotArea`
+3. Commit your new screenshots and push them to your branch to get picked up by `git-lfs`
 
-Properties specifically used by subplots in a Figure:
+```bash
+# add changes
+git add examples/desktop/screenshots/
+git add examples/notebooks/screenshots/
 
-* parent - A parent if relevant, used by individual `Subplots` in `Figure`, and by `Dock` which are "docked" subplots at the edges of a subplot.
-* position - if a subplot within a Figure, it is the position of this subplot within the `Figure`
+# commit changes
+git commit -m "update screenshots"
 
-Other important properties:
+# push changes
+git push origin my_feature_branch
+```
 
-* graphics - a tuple of weakref proxies to all `Graphics` within this `PlotArea`, users are only given weakref proxies to `Graphic` objects, all `Graphic` objects are stored in a private global dict.
-* selectors - a tuple of weakref proxies to all selectors within this `PlotArea`
-* legend - a tuple of weakref proxies to all legend graphics within this `PlotArea`
-* name - plot areas are allowed to have names that the user can use for their convenience
+#### Adding tests
 
-Important methods:
+Depending on the type of contribution you are making, new tests might need to be added to the repository. Unit tests for testing underlying functionality such as buffer managers, figure instantiation, and
+more can be found in the `/tests` directory. However, we also test all of our desktop examples as well. 
 
-* add_graphic - add a `Graphic` to the `PlotArea`, append to the end of the `PlotArea._graphics` list
-* insert_graphic - insert a `Graphic` to the `PlotArea`, insert to a specific position of the `PlotArea._graphics` list
-* remove_graphic - remove a graphic from the `Scene`, **does not delete it**
-* delete_graphic - delete a graphic from the `PlotArea`, performs garbage collection
-* clear - deletes all graphics from the `PlotArea`
-* center_graphic - center camera w.r.t. a `Graphic`
-* center_scene - center camera w.r.t. entire `Scene`
-* auto_scale - Auto-scale the camera w.r.t to the `Scene`
+If you are adding a new example to the library, you will need to add the following comments to the top of your `.py` file in order to make sure it is both tested and added to the gallery. 
 
-In addition, `PlotArea` supports `__getitem__`, so you can do: `plot_area["graphic_name"]` to retrieve a `Graphic` by 
-name :smile: 
+```python
+# test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
+```
 
-You can also check if a `PlotArea` has certain graphics, ex: `"some_image_name" in plot_area`, or `graphic_instance in plot_area`
+### Documentation
 
-#### Subplot
+Documentation is a crucial part of open-source software and greatly influences the ability to use a codebase. As such, it is imperative that any new changes are
+properly documented as outlined below. 
 
-This class inherits from `PlotArea` and `GraphicMethodsMixin`.
+We use [`sphinx`](https://www.sphinx-doc.org/en/master/) for generating our documentation. In addition to this, we also use the [`sphinx-gallery`](https://sphinx-gallery.github.io/stable/index.html)
+extension to build our examples gallery.
 
-`GraphicMethodsMixin` is a simple class that just has all the `add_<graphic>` methods. It is autogenerated by a utility script like this:
+If you would like to build the documentation locally:
 
 ```bash
-python scripts/generate_add_methods.py
-```
+cd docs
+# regenerate the api guide
+python source/generate_api.py
 
-Each `add_<graphic>` method basically creates an instance of `Graphic`, adds it to the `Subplot`, and returns a weakref 
-proxy to the `Graphic`.
+# build locally
+make html
+```
 
-Subplot has one property that is not in `PlotArea`:
+#### Adding documentation
 
-* docks: a `dict` of `PlotAreas` which are located at the "top", "right", "left", and "bottom" edges of a `Subplot`. By default their size is `0`. They are useful for putting things like histogram LUT tools.
+All public-facing functions and classes should have complete docstrings, which start with a one-line short summary of the function, 
+a medium-length description of the function / class and what it does, and a complete description of all arguments and return values. 
+Docstrings should be comprehensive, providing the information necessary for a user to use the method or property without going through the code.
 
-The key method in `Subplot` is an implementation of `get_rect` that returns the viewport rect for this subplot.
+Private functions and classes should have sufficient explanation that other developers know what the function / class does and how to use it, 
+but do not need to be as extensive.
 
-#### Figure
+We follow the [numpydoc](https://numpydoc.readthedocs.io/en/latest/) conventions for docstring structure.
 
-Now that we have understood `PlotArea` and `Subplot` we need a way for the user to create them!
+### Contributing Quick Guide
 
-A `Figure` contains a grid of subplot and has methods such as `show()` to output the figure.
-`Figure.__init__` basically does a lot of parsing of user arguments to determine how to create 
-the subplots. All subplots within a `Figure` share the same canvas and use different viewports to create the subplots.
+This section is a brief introduction to how to contribute to `fastplotlib`. It is intended for individuals who have prior experience with contributing 
+to open source software packages. 
 
-## Tests in detail
+> **_NOTE:_** 
+> We use [git-lfs](https://git-lfs.com) for storing large files, such as ground-truths for tests, so you will need 
+> to [install it](https://github.com/git-lfs/git-lfs#installing) before cloning the repo.
 
-Backend tests are in `tests/`, in addition as a plotting library CI pipeline produces things that 
-"look visually correct". Each example within the `examples` dir is run and an image of the canvas 
-is taken and compared with a ground-truth screenshot that we have manually inspected. 
-Ground-truth image are stored using `git-lfs`.
+1) Fork and clone the repo 
 
-The ground-truth images are in:
+2) Install locally with developer dependencies 
 
+```bash
+# after cloning
+cd fastplotlib
+# install dev dependencies 
+pip install -e ".[imgui, tests, docs, notebook]"
 ```
-examples/desktop/screenshots
-examples/notebooks/screenshots
-```
-
-The tests will produce slightly different imperceptible (to a human) results on different hardware when compared to the 
-ground-truth. A small RMSE tolerance has been chosen, `0.025` for most examples. If the output image and 
-ground-truth image are within that tolerance the test will pass.
 
+3) Check out a feature branch from `main`
 
-To run tests:
+4) Lint codebase and make sure tests pass 
 
 ```bash
-# tests basic backend functionality
-WGPU_FORCE_OFFSCREEN=1 pytest -v -s tests/
+# lint codebase 
+black .
+
+# run tests 
+# backend tests 
+WGPU_FORCE_OFFSCREEN=1 pytest tests/
 
 # desktop examples
 pytest -v examples
@@ -224,19 +302,10 @@ pytest -v examples
 FASTPLOTLIB_NB_TESTS=1 pytest --nbmake examples/notebooks/
 ```
 
-If your contribution modifies a ground-truth test screenshot then replace the ground-truth image along with your PR and 
-also notify us of this in the PR. Likewise, if your contribution requires a new test or new ground-truth then include 
-this new image in your PR.
-
-You can create/regenerate ground-truths for the examples like this:
-
-```bash
-# desktop examples
-REGENERATE_SCREENSHOTS=1 pytest -v examples/
+5) Update screenshots if necessary ([see testing](#testing-details))
 
-# notebook examples
-FASTPLOTLIB_NB_TESTS=1 REGENERATE_SCREENSHOTS=1 pytest --nbmake examples/notebooks/image_widget_test.ipynb
-```
+6) Push and open a PR (pull request) against the `main` branch
 
-**Please only commit ground-truth images that correspond to your PR** since this will generate ground-truth images for 
-the entire test suite.
+> **Note:**
+> The tests labeled "CI / Tests" must pass, but the tests labeled "CI / Tests - pygfx release" do not necessarily need to pass. The difference between these two workflows is "CI / Tests" uses the `main` branch of [`pygfx`](https://github.com/pygfx/pygfx) whereas "CI / Tests - pygfx release" uses the latest release of `pygfx`.
+> Since `fastplotlib`, `pygfx`, and `wgpu` are all under rapid development we aim to keep `fastplotlib` up to date with `pygfx@main` until `pygfx` stabilizes. The workflow "CI / Tests - pygfx release" is to inform us if any test failures using the release version of `pygfx` are a significant release blocker for `fastplotlib`. Once you make a PR we will help guide you through any failures with "CI / Tests - pygfx release"!
diff --git a/GOVERNANCE.md b/GOVERNANCE.md
index 27acb1c45..59b844621 100644
--- a/GOVERNANCE.md
+++ b/GOVERNANCE.md
@@ -45,6 +45,7 @@ The Advisory Committee holds a significant interest in fastplotlib as determined
 1. Eric Thomson
 1. Andrea Giovannucci
 1. John Pearson
+1. Almar Klein
 
 Responsibilities:
 
diff --git a/LICENSE b/LICENSE
index eb132f363..33e2266c5 100644
--- a/LICENSE
+++ b/LICENSE
@@ -186,7 +186,7 @@
       same "printed page" as the copyright notice for easier
       identification within third-party archives.
 
-   Copyright 2023 Kushal Kolar
+   Copyright 2025 Kushal Kolar, Caitlin Lewis
 
    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.
diff --git a/README.md b/README.md
index 9f3f9b236..5109d26aa 100644
--- a/README.md
+++ b/README.md
@@ -4,26 +4,39 @@
 
 ---
 
-[![CI](https://github.com/kushalkolar/fastplotlib/actions/workflows/ci.yml/badge.svg)](https://github.com/kushalkolar/fastplotlib/actions/workflows/ci.yml)
+[![CI](https://github.com/fastplotlib/fastplotlib/actions/workflows/ci.yml/badge.svg)](https://github.com/fastplotlib/fastplotlib/actions/workflows/ci.yml)
 [![PyPI version](https://badge.fury.io/py/fastplotlib.svg)](https://badge.fury.io/py/fastplotlib)
-[![Documentation Status](https://readthedocs.org/projects/fastplotlib/badge/?version=latest)](https://fastplotlib.readthedocs.io/en/latest/?badge=latest)
+[![Deploy docs](https://github.com/fastplotlib/fastplotlib/actions/workflows/docs-deploy.yml/badge.svg)](https://fastplotlib.org/ver/dev/)
+[![DOI](https://zenodo.org/badge/485481453.svg)](https://zenodo.org/doi/10.5281/zenodo.13365890)
 
-[**Installation**](https://github.com/kushalkolar/fastplotlib#installation) | 
+[**Installation**](https://github.com/fastplotlib/fastplotlib#installation) | 
 [**GPU Drivers**](https://github.com/kushalkolar/fastplotlib#graphics-drivers) | 
 [**Documentation**](https://github.com/fastplotlib/fastplotlib#documentation) | 
 [**Examples**](https://github.com/kushalkolar/fastplotlib#examples) | 
 [**Contributing**](https://github.com/kushalkolar/fastplotlib#heart-contributing)
 
-Next-gen plotting library built using the [`pygfx`](https://github.com/pygfx/pygfx) rendering engine that can utilize [Vulkan](https://en.wikipedia.org/wiki/Vulkan), [DX12](https://en.wikipedia.org/wiki/DirectX#DirectX_12), or [Metal](https://developer.apple.com/metal/) via WGPU, so it is very fast! `fastplotlib` is an expressive plotting library that enables rapid prototyping for large scale explorative scientific visualization.
+Next-gen plotting library built using the [`pygfx`](https://github.com/pygfx/pygfx) rendering engine that utilizes [Vulkan](https://en.wikipedia.org/wiki/Vulkan), [DX12](https://en.wikipedia.org/wiki/DirectX#DirectX_12), or [Metal](https://developer.apple.com/metal/) via WGPU, so it is very fast! `fastplotlib` is an expressive plotting library that enables rapid prototyping for large scale exploratory scientific visualization.
 
-![scipy-fpl](https://github.com/fastplotlib/fastplotlib/assets/9403332/b981a54c-05f9-443f-a8e4-52cd01cd802a)
+<div align="center">
+  <img src=https://github.com/user-attachments/assets/5c6bede6-e0cb-4867-bb9b-f86cc5e98619 width="1000" /> 
+</div>
 
-### SciPy 2023 Talk
+> **Note:**
+> `fastplotlib` is currently in the **late alpha stage**, but you're welcome to use it or contribute! See our [Roadmap](https://github.com/kushalkolar/fastplotlib/issues/55). Also, see this for a discussion on API stability: https://github.com/fastplotlib/fastplotlib/issues/121
 
-[![fpl_thumbnail](http://i3.ytimg.com/vi/Q-UJpAqljsU/hqdefault.jpg)](https://www.youtube.com/watch?v=Q-UJpAqljsU)
+# What are *some* things I can do with `fastplotlib`?
 
-Note that the API is currently evolving quickly. We recommend using the latest notebooks from the repo but the general 
-concepts are similar to those from the API shown in the video.
+- GPU-accelerated visualization
+
+- interactive visualization via an intuitive and expressive API
+
+- rapid prototyping and algorithm design
+
+- easy exploration and fast rendering of large-scale data
+
+- design, develop, evaluate, and ship machine learning models
+
+- create visualizations for real-time acquisition systems for scientific instruments (cameras, etc.)
 
 # Supported frameworks
 
@@ -34,45 +47,45 @@ concepts are similar to those from the API shown in the video.
 :heavy_check_mark: `glfw`\
 :heavy_check_mark: `wxPython`
 
-**Notes:**\
-:heavy_check_mark: Non-blocking Qt/PySide output is supported in ipython and notebooks by using [`%gui qt`](https://ipython.readthedocs.io/en/stable/interactive/magics.html#magic-gui). This **must** be called *before* importing `fastplotlib`!
-:grey_exclamation: We do not officially support `jupyter notebook` through `jupyter_rfb`, this may change with notebook v7\
-:disappointed: [`jupyter_rfb`](https://github.com/vispy/jupyter_rfb) does not work in collab, see https://github.com/vispy/jupyter_rfb/pull/77 
-
-> **Note**
-> 
-> `fastplotlib` is currently in the **late alpha stage**, but you're welcome to try it out or contribute! See our [Roadmap](https://github.com/kushalkolar/fastplotlib/issues/55). See this for a discussion on API stability: https://github.com/fastplotlib/fastplotlib/issues/121 
+Write your code once and run it anywhere. Whether you are using `Qt`, `glfw`, `jupyter lab`, or doing offscreen rendering, `fastplotlib` works across all major platforms (Linux, Windows, Mac OS X) :smile: See the [FAQ](https://www.fastplotlib.org/ver/dev/user_guide/faq.html) for more details on where and how you can use `fastplotlib`.
 
 # Documentation
 
-http://fastplotlib.readthedocs.io/ 
-
-The examples are interactive if you run them locally on your computer. If someone wants to integrate `pyodide` with `pygfx` we would be able to have live interactive examples on the website!
+http://www.fastplotlib.org/ver/dev
 
 Questions, issues, ideas? You are welcome to post an [issue](https://github.com/fastplotlib/fastplotlib/issues) or post on the [discussion forum](https://github.com/fastplotlib/fastplotlib/discussions)! :smiley: 
 
 # Installation
 
-### Minimal, use with your own `Qt` or `glfw` applications
+To install use pip:
+
 ```bash
-pip install fastplotlib
-```
+# with imgui and jupyterlab
+pip install -U "fastplotlib[notebook,imgui]"
 
-**This does not give you `PyQt`/`PySide` or `glfw`, you will have to install your preferred GUI framework separately**.
+# minimal install, install glfw, pyqt6 or pyside6 separately
+pip install -U fastplotlib
 
-### Notebook
-```bash
-pip install "fastplotlib[notebook]"
+# with imgui
+pip install -U "fastplotlib[imgui]"
+
+# to use in jupyterlab without imgui
+pip install -U "fastplotlib[notebook]"
 ```
 
-**Strongly recommended: install `simplejpeg` for much faster notebook visualization, this requires you to first install [libjpeg-turbo](https://libjpeg-turbo.org/)**
+We strongly recommend installing ``simplejpeg`` for use in notebooks, you must first install [libjpeg-turbo](https://libjpeg-turbo.org/)
+
+- If you use ``conda``, you can get ``libjpeg-turbo`` through conda.
+- If you are on linux, you can get it through your distro's package manager.
+- For Windows and Mac compiled binaries are available on their release page: https://github.com/libjpeg-turbo/libjpeg-turbo/releases
+
+Once you have ``libjpeg-turbo``:
 
 ```bash
 pip install simplejpeg
 ```
 
-> **Note**
->
+> **Note:**
 > `fastplotlib` and `pygfx` are fast evolving projects, the version available through pip might be outdated, you will need to follow the "For developers" instructions below if you want the latest features. You can find the release history here: https://github.com/fastplotlib/fastplotlib/releases
 
 ### For developers
@@ -84,82 +97,48 @@ git clone https://github.com/fastplotlib/fastplotlib.git
 cd fastplotlib
 
 # install all extras in place
-pip install -e ".[notebook,docs,tests]"
+pip install -e ".[notebook,docs,tests,imgui]"
 
 # install latest pygfx
 pip install git+https://github.com/pygfx/pygfx.git@main
 ```
 
-Se [Contributing](https://github.com/fastplotlib/fastplotlib?tab=readme-ov-file#heart-contributing) for more details on development
+See [Contributing](https://github.com/fastplotlib/fastplotlib?tab=readme-ov-file#heart-contributing) for more details on development
 
 # Examples
 
-Examples gallery: https://fastplotlib.readthedocs.io/en/latest/_gallery/index.html 
-
-> **Note:** `fastplotlib` and `pygfx` are fast evolving, you will probably require the latest `pygfx` and `fastplotlib` from github to use the examples in the main branch.
+Examples gallery: http://fastplotlib.org/ver/dev/_gallery/index.html
 
-`fastplotlib` code is identical across notebook (`jupyter`), and desktop use with `Qt`/`PySide` or `glfw`. 
+User guide: http://fastplotlib.org/ver/dev/user_guide/guide.html
 
-Even if you do not intend to use notebooks with `fastplotlib`, the `quickstart.ipynb` tutorial notebook is the best way to get familiar with the API: https://github.com/fastplotlib/fastplotlib/tree/main/examples/notebooks/quickstart.ipynb
+`fastplotlib` code is identical across notebook (`jupyterlab`), and desktop use with `Qt`/`PySide` or `glfw`. 
 
-The specifics for running `fastplotlib` in different GUI frameworks are:
-- Running in `glfw` requires a `fastplotlib.run()` call (which is really just a `wgpu` `run()` call)
-- With `Qt` you can encapsulate it within a `QApplication`, see `examples/qt`
-- Notebooks plots have ipywidget-based toolbars and widgets. There are plans to move toward an identical in-canvas toolbar with UI elements across all supported frameworks 😄
+**Notebooks**
 
-### Embedding in a `Qt` app
+The `quickstart.ipynb` tutorial notebook is a great way to get familiar with the API: https://github.com/fastplotlib/fastplotlib/tree/main/examples/notebooks/quickstart.ipynb
 
-See these for examples on embedding within a Qt app. Note that you can also use `fastplotlib` with qt interactively using `%gui qt` in jupyter or ipython.
+# GPU drivers and requirements
 
-https://github.com/fastplotlib/fastplotlib/tree/main/examples/qt
+Generally if your GPU is from 2017 or later it should be fine. Modern integrated graphics are usually fine for many use cases. The exact requirements will depend on how complex your visualization is and how many objects you need to render.
 
-### Notebook examples
+More detailed information on GPUs and drivers is here: http://fastplotlib.org/ver/dev/user_guide/gpu.html
 
-Notebook examples are here, these include examples on selector tools.
+For more detailed information, such as use on cloud computing infrastructure, see the WGPU docs: https://wgpu-py.readthedocs.io/en/stable/start.html#cloud-compute
 
-https://github.com/fastplotlib/fastplotlib/tree/main/examples/notebooks
+# Contributing :heart:
 
-### Video
+We welcome contributions! See the contributing guide: https://github.com/fastplotlib/fastplotlib/blob/main/CONTRIBUTING.md
 
-Our SciPy 2023 talk walks through numerous demos: https://github.com/fastplotlib/fastplotlib#scipy-talk
+You can also take a look at our [**Roadmap for 2025**](https://github.com/fastplotlib/fastplotlib/issues/55) and [**Issues**](https://github.com/fastplotlib/fastplotlib/issues) for ideas on how to contribute!
 
-## Graphics drivers
+# Developers :brain:
 
-You will need a relatively modern GPU (newer integrated GPUs in CPUs are usually fine). Generally if your GPU is from 2017 or later it should be fine.
-
-For more detailed information, such as use on cloud computing infrastructure, see: https://wgpu-py.readthedocs.io/en/stable/start.html#platform-requirements
-
-Some more information on GPUs is here: https://fastplotlib.readthedocs.io/en/latest/user_guide/gpu.html
-
-### Windows:
-Vulkan drivers should be installed by default on Windows 11, but you will need to install your GPU manufacturer's driver package (Nvidia or AMD). If you have an integrated GPU within your CPU, you might still need to install a driver package too, check your CPU manufacturer's info.
-
-### Linux:
-You will generally need a linux distro that is from ~2020 or newer (ex. Ubuntu 18.04 won't work), this is due to the `glibc` requirements of the `wgpu-native` binary.
-
-Debian based distros:
-
-```bash
-sudo apt install mesa-vulkan-drivers
-# for better performance with the remote frame buffer install libjpeg-turbo
-sudo apt install libjpeg-turbo
-```
-
-For other distros install the appropriate vulkan driver package, and optionally the corresponding `libjpeg-turbo` package for better remote-frame-buffer performance in jupyter notebooks.
-
-#### CPU/software rendering (Lavapipe)
-
-If you do not have a GPU you can perform limited software rendering using lavapipe. This should get you everything you need for that on Debian or Ubuntu based distros:
-
-```bash
-sudo apt install llvm-dev libturbojpeg* libgl1-mesa-dev libgl1-mesa-glx libglapi-mesa libglx-mesa0 mesa-common-dev mesa-vulkan-drivers
-```
+- [**Kushal Kolar**](https://github.com/kushalkolar)
 
-### Mac OSX:
-WGPU uses Metal instead of Vulkan on Mac. You will need at least Mac OSX 10.13. The OS should come with Metal pre-installed, so you should be good to go!
+- [**Caitlin Lewis**](https://github.com/clewis7)
 
-# :heart: Contributing
+- [**Almar Klein**](https://github.com/almarklein)
 
-We welcome contributions! See the contributing guide: https://github.com/kushalkolar/fastplotlib/blob/main/CONTRIBUTING.md
+- [**Amol Pasarkar**](https://github.com/apasarkar)
 
-You can also take a look at our [**Roadmap for 2025**](https://github.com/kushalkolar/fastplotlib/issues/55) and [**Issues**](https://github.com/kushalkolar/fastplotlib/issues) for ideas on how to contribute!
+A special thanks to all of the `pygfx` developers and the amazing work they have done. 
diff --git a/apt.txt b/apt.txt
deleted file mode 100644
index 42b836e1a..000000000
--- a/apt.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-libvulkan1
-mesa-vulkan-drivers
-neofetch
diff --git a/docs/source/_static/guide_animation.webp b/docs/source/_static/guide_animation.webp
new file mode 100644
index 000000000..f204fa117
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diff --git a/docs/source/_static/guide_click_event.webp b/docs/source/_static/guide_click_event.webp
new file mode 100644
index 000000000..1f511396c
Binary files /dev/null and b/docs/source/_static/guide_click_event.webp differ
diff --git a/docs/source/_static/guide_hello_world.png b/docs/source/_static/guide_hello_world.png
new file mode 100644
index 000000000..ccffcbac5
--- /dev/null
+++ b/docs/source/_static/guide_hello_world.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:97fda350fd73fc33792447114828884563862cae1f89530f242360d72f284ccc
+size 106236
diff --git a/docs/source/_static/guide_hello_world_fancy_slicing.png b/docs/source/_static/guide_hello_world_fancy_slicing.png
new file mode 100644
index 000000000..c5d0a1441
--- /dev/null
+++ b/docs/source/_static/guide_hello_world_fancy_slicing.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:523160dd2a81b6788bef6a57392f194239252ad58cd64ec9e5408040bd7130e4
+size 138165
diff --git a/docs/source/_static/guide_hello_world_simple_slicing.png b/docs/source/_static/guide_hello_world_simple_slicing.png
new file mode 100644
index 000000000..6d66bc7c7
--- /dev/null
+++ b/docs/source/_static/guide_hello_world_simple_slicing.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd3ee6a1de4ef244969014f0e8e2cb548f8c4ff8b865e4cc08f728412f9189bf
+size 101339
diff --git a/docs/source/_static/guide_hello_world_vmax.png b/docs/source/_static/guide_hello_world_vmax.png
new file mode 100644
index 000000000..a835c41ac
--- /dev/null
+++ b/docs/source/_static/guide_hello_world_vmax.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0085ffeddcf765a6902eea71659de40c9034648dee587d33068b7603ea08ad3a
+size 93647
diff --git a/docs/source/_static/guide_image_widget.webp b/docs/source/_static/guide_image_widget.webp
new file mode 100644
index 000000000..2fc206041
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diff --git a/docs/source/_static/guide_imgui.png b/docs/source/_static/guide_imgui.png
new file mode 100644
index 000000000..6c17e36b3
--- /dev/null
+++ b/docs/source/_static/guide_imgui.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:262dfd4e83abba504a3630c74ba873fbe6471fdb69b32f250cd372fa67c4a44c
+size 63997
diff --git a/docs/source/_static/guide_linear_selector.webp b/docs/source/_static/guide_linear_selector.webp
new file mode 100644
index 000000000..c60ec6c03
Binary files /dev/null and b/docs/source/_static/guide_linear_selector.webp differ
diff --git a/docs/source/_static/switcher.json b/docs/source/_static/switcher.json
new file mode 100644
index 000000000..67f723e2f
--- /dev/null
+++ b/docs/source/_static/switcher.json
@@ -0,0 +1,7 @@
+[
+    {
+        "name": "dev/main",
+        "version": "dev",
+        "url": "http://www.fastplotlib.org/versions/dev"
+    }
+]
diff --git a/docs/source/_templates/autosummary/class.rst b/docs/source/_templates/autosummary/class.rst
index d4fd5208b..3693c0102 100644
--- a/docs/source/_templates/autosummary/class.rst
+++ b/docs/source/_templates/autosummary/class.rst
@@ -3,3 +3,6 @@
 .. currentmodule:: {{ module }}
 
 .. autoclass:: {{ objname }}
+
+.. minigallery:: fastplotlib.{{ objname }}
+    :add-heading: Examples
diff --git a/docs/source/_templates/autosummary/method.rst b/docs/source/_templates/autosummary/method.rst
index 306d2aab5..39daedd4b 100644
--- a/docs/source/_templates/autosummary/method.rst
+++ b/docs/source/_templates/autosummary/method.rst
@@ -3,3 +3,6 @@
 .. currentmodule:: {{ module }}
 
 .. automethod:: {{ objname }}
+
+.. minigallery:: fastplotlib.{{ objname }}
+    :add-heading: Examples
diff --git a/docs/source/_templates/autosummary/property.rst b/docs/source/_templates/autosummary/property.rst
index c31bebe07..509e46b8a 100644
--- a/docs/source/_templates/autosummary/property.rst
+++ b/docs/source/_templates/autosummary/property.rst
@@ -3,3 +3,6 @@
 .. currentmodule:: {{ module }}
 
 .. autoproperty:: {{ objname }}
+
+.. minigallery:: fastplotlib.{{ objname }}
+    :add-heading: Examples
diff --git a/docs/source/api/fastplotlib.rst b/docs/source/api/fastplotlib.rst
new file mode 100644
index 000000000..34dc89049
--- /dev/null
+++ b/docs/source/api/fastplotlib.rst
@@ -0,0 +1,16 @@
+fastplotlib
+***********
+
+.. currentmodule:: fastplotlib
+
+.. autofunction:: fastplotlib.pause_events
+
+.. autofunction:: fastplotlib.enumerate_adapters
+
+.. autofunction:: fastplotlib.select_adapter
+
+.. autofunction:: fastplotlib.print_wgpu_report
+
+fastplotlib.loop
+------------------
+See the rendercanvas docs: https://rendercanvas.readthedocs.io/stable/api.html#rendercanvas.BaseLoop 
\ No newline at end of file
diff --git a/docs/source/api/gpu.rst b/docs/source/api/gpu.rst
deleted file mode 100644
index 6f94aff23..000000000
--- a/docs/source/api/gpu.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-fastplotlib.utils.gpu
-*********************
-
-.. currentmodule:: fastplotlib.utils.gpu
-.. automodule:: fastplotlib
-    :members:
diff --git a/docs/source/api/graphic_features/RectangleSelectionFeature.rst b/docs/source/api/graphic_features/RectangleSelectionFeature.rst
new file mode 100644
index 000000000..d35752a24
--- /dev/null
+++ b/docs/source/api/graphic_features/RectangleSelectionFeature.rst
@@ -0,0 +1,35 @@
+.. _api.RectangleSelectionFeature:
+
+RectangleSelectionFeature
+*************************
+
+=========================
+RectangleSelectionFeature
+=========================
+.. currentmodule:: fastplotlib.graphics._features
+
+Constructor
+~~~~~~~~~~~
+.. autosummary::
+    :toctree: RectangleSelectionFeature_api
+
+    RectangleSelectionFeature
+
+Properties
+~~~~~~~~~~
+.. autosummary::
+    :toctree: RectangleSelectionFeature_api
+
+    RectangleSelectionFeature.value
+
+Methods
+~~~~~~~
+.. autosummary::
+    :toctree: RectangleSelectionFeature_api
+
+    RectangleSelectionFeature.add_event_handler
+    RectangleSelectionFeature.block_events
+    RectangleSelectionFeature.clear_event_handlers
+    RectangleSelectionFeature.remove_event_handler
+    RectangleSelectionFeature.set_value
+
diff --git a/docs/source/api/graphic_features/SizeSpace.rst b/docs/source/api/graphic_features/SizeSpace.rst
new file mode 100644
index 000000000..0bca1ecc8
--- /dev/null
+++ b/docs/source/api/graphic_features/SizeSpace.rst
@@ -0,0 +1,35 @@
+.. _api.SizeSpace:
+
+SizeSpace
+*********
+
+=========
+SizeSpace
+=========
+.. currentmodule:: fastplotlib.graphics._features
+
+Constructor
+~~~~~~~~~~~
+.. autosummary::
+    :toctree: SizeSpace_api
+
+    SizeSpace
+
+Properties
+~~~~~~~~~~
+.. autosummary::
+    :toctree: SizeSpace_api
+
+    SizeSpace.value
+
+Methods
+~~~~~~~
+.. autosummary::
+    :toctree: SizeSpace_api
+
+    SizeSpace.add_event_handler
+    SizeSpace.block_events
+    SizeSpace.clear_event_handlers
+    SizeSpace.remove_event_handler
+    SizeSpace.set_value
+
diff --git a/docs/source/api/graphic_features/index.rst b/docs/source/api/graphic_features/index.rst
index 87504ea8a..dc88e97d6 100644
--- a/docs/source/api/graphic_features/index.rst
+++ b/docs/source/api/graphic_features/index.rst
@@ -7,6 +7,7 @@ Graphic Features
     VertexColors
     UniformColor
     UniformSize
+    SizeSpace
     Thickness
     VertexPositions
     PointsSizesFeature
@@ -24,6 +25,7 @@ Graphic Features
     TextOutlineThickness
     LinearSelectionFeature
     LinearRegionSelectionFeature
+    RectangleSelectionFeature
     Name
     Offset
     Rotation
diff --git a/docs/source/api/graphics/ImageGraphic.rst b/docs/source/api/graphics/ImageGraphic.rst
index a0ae8a5ed..dd5ff1ccc 100644
--- a/docs/source/api/graphics/ImageGraphic.rst
+++ b/docs/source/api/graphics/ImageGraphic.rst
@@ -20,6 +20,7 @@ Properties
 .. autosummary::
     :toctree: ImageGraphic_api
 
+    ImageGraphic.axes
     ImageGraphic.block_events
     ImageGraphic.cmap
     ImageGraphic.cmap_interpolation
@@ -29,6 +30,7 @@ Properties
     ImageGraphic.interpolation
     ImageGraphic.name
     ImageGraphic.offset
+    ImageGraphic.right_click_menu
     ImageGraphic.rotation
     ImageGraphic.supported_events
     ImageGraphic.visible
@@ -41,9 +43,11 @@ Methods
 .. autosummary::
     :toctree: ImageGraphic_api
 
+    ImageGraphic.add_axes
     ImageGraphic.add_event_handler
     ImageGraphic.add_linear_region_selector
     ImageGraphic.add_linear_selector
+    ImageGraphic.add_rectangle_selector
     ImageGraphic.clear_event_handlers
     ImageGraphic.remove_event_handler
     ImageGraphic.reset_vmin_vmax
diff --git a/docs/source/api/graphics/LineCollection.rst b/docs/source/api/graphics/LineCollection.rst
index c000b7334..ad4b7f929 100644
--- a/docs/source/api/graphics/LineCollection.rst
+++ b/docs/source/api/graphics/LineCollection.rst
@@ -20,6 +20,7 @@ Properties
 .. autosummary::
     :toctree: LineCollection_api
 
+    LineCollection.axes
     LineCollection.block_events
     LineCollection.cmap
     LineCollection.colors
@@ -32,6 +33,7 @@ Properties
     LineCollection.names
     LineCollection.offset
     LineCollection.offsets
+    LineCollection.right_click_menu
     LineCollection.rotation
     LineCollection.rotations
     LineCollection.supported_events
@@ -45,10 +47,12 @@ Methods
 .. autosummary::
     :toctree: LineCollection_api
 
+    LineCollection.add_axes
     LineCollection.add_event_handler
     LineCollection.add_graphic
     LineCollection.add_linear_region_selector
     LineCollection.add_linear_selector
+    LineCollection.add_rectangle_selector
     LineCollection.clear_event_handlers
     LineCollection.remove_event_handler
     LineCollection.remove_graphic
diff --git a/docs/source/api/graphics/LineGraphic.rst b/docs/source/api/graphics/LineGraphic.rst
index d260c3214..4302ab56c 100644
--- a/docs/source/api/graphics/LineGraphic.rst
+++ b/docs/source/api/graphics/LineGraphic.rst
@@ -20,6 +20,7 @@ Properties
 .. autosummary::
     :toctree: LineGraphic_api
 
+    LineGraphic.axes
     LineGraphic.block_events
     LineGraphic.cmap
     LineGraphic.colors
@@ -28,7 +29,9 @@ Properties
     LineGraphic.event_handlers
     LineGraphic.name
     LineGraphic.offset
+    LineGraphic.right_click_menu
     LineGraphic.rotation
+    LineGraphic.size_space
     LineGraphic.supported_events
     LineGraphic.thickness
     LineGraphic.visible
@@ -39,9 +42,11 @@ Methods
 .. autosummary::
     :toctree: LineGraphic_api
 
+    LineGraphic.add_axes
     LineGraphic.add_event_handler
     LineGraphic.add_linear_region_selector
     LineGraphic.add_linear_selector
+    LineGraphic.add_rectangle_selector
     LineGraphic.clear_event_handlers
     LineGraphic.remove_event_handler
     LineGraphic.rotate
diff --git a/docs/source/api/graphics/LineStack.rst b/docs/source/api/graphics/LineStack.rst
index 18b35932d..db060a4c2 100644
--- a/docs/source/api/graphics/LineStack.rst
+++ b/docs/source/api/graphics/LineStack.rst
@@ -20,6 +20,7 @@ Properties
 .. autosummary::
     :toctree: LineStack_api
 
+    LineStack.axes
     LineStack.block_events
     LineStack.cmap
     LineStack.colors
@@ -32,6 +33,7 @@ Properties
     LineStack.names
     LineStack.offset
     LineStack.offsets
+    LineStack.right_click_menu
     LineStack.rotation
     LineStack.rotations
     LineStack.supported_events
@@ -45,10 +47,12 @@ Methods
 .. autosummary::
     :toctree: LineStack_api
 
+    LineStack.add_axes
     LineStack.add_event_handler
     LineStack.add_graphic
     LineStack.add_linear_region_selector
     LineStack.add_linear_selector
+    LineStack.add_rectangle_selector
     LineStack.clear_event_handlers
     LineStack.remove_event_handler
     LineStack.remove_graphic
diff --git a/docs/source/api/graphics/ScatterGraphic.rst b/docs/source/api/graphics/ScatterGraphic.rst
index 8f2b17fd6..83e734c61 100644
--- a/docs/source/api/graphics/ScatterGraphic.rst
+++ b/docs/source/api/graphics/ScatterGraphic.rst
@@ -20,6 +20,7 @@ Properties
 .. autosummary::
     :toctree: ScatterGraphic_api
 
+    ScatterGraphic.axes
     ScatterGraphic.block_events
     ScatterGraphic.cmap
     ScatterGraphic.colors
@@ -28,7 +29,9 @@ Properties
     ScatterGraphic.event_handlers
     ScatterGraphic.name
     ScatterGraphic.offset
+    ScatterGraphic.right_click_menu
     ScatterGraphic.rotation
+    ScatterGraphic.size_space
     ScatterGraphic.sizes
     ScatterGraphic.supported_events
     ScatterGraphic.visible
@@ -39,6 +42,7 @@ Methods
 .. autosummary::
     :toctree: ScatterGraphic_api
 
+    ScatterGraphic.add_axes
     ScatterGraphic.add_event_handler
     ScatterGraphic.clear_event_handlers
     ScatterGraphic.remove_event_handler
diff --git a/docs/source/api/graphics/TextGraphic.rst b/docs/source/api/graphics/TextGraphic.rst
index a3cd9bbb9..2a55d78ef 100644
--- a/docs/source/api/graphics/TextGraphic.rst
+++ b/docs/source/api/graphics/TextGraphic.rst
@@ -20,6 +20,7 @@ Properties
 .. autosummary::
     :toctree: TextGraphic_api
 
+    TextGraphic.axes
     TextGraphic.block_events
     TextGraphic.deleted
     TextGraphic.event_handlers
@@ -29,6 +30,7 @@ Properties
     TextGraphic.offset
     TextGraphic.outline_color
     TextGraphic.outline_thickness
+    TextGraphic.right_click_menu
     TextGraphic.rotation
     TextGraphic.supported_events
     TextGraphic.text
@@ -40,6 +42,7 @@ Methods
 .. autosummary::
     :toctree: TextGraphic_api
 
+    TextGraphic.add_axes
     TextGraphic.add_event_handler
     TextGraphic.clear_event_handlers
     TextGraphic.remove_event_handler
diff --git a/docs/source/api/index.rst b/docs/source/api/index.rst
new file mode 100644
index 000000000..87c134782
--- /dev/null
+++ b/docs/source/api/index.rst
@@ -0,0 +1,15 @@
+API Reference
+*************
+
+.. toctree::
+    :caption: API Reference
+    :maxdepth: 2
+
+    layouts/index
+    graphics/index
+    graphic_features/index
+    selectors/index
+    ui/index
+    widgets/index
+    fastplotlib
+    utils
diff --git a/docs/source/api/layouts/figure.rst b/docs/source/api/layouts/figure.rst
index 817284e18..17ee965b6 100644
--- a/docs/source/api/layouts/figure.rst
+++ b/docs/source/api/layouts/figure.rst
@@ -6,7 +6,7 @@ Figure
 ======
 Figure
 ======
-.. currentmodule:: fastplotlib
+.. currentmodule:: fastplotlib.layouts
 
 Constructor
 ~~~~~~~~~~~
@@ -24,10 +24,8 @@ Properties
     Figure.canvas
     Figure.controllers
     Figure.names
-    Figure.output
     Figure.renderer
     Figure.shape
-    Figure.toolbar
 
 Methods
 ~~~~~~~
@@ -38,6 +36,8 @@ Methods
     Figure.clear
     Figure.close
     Figure.export
+    Figure.get_pygfx_render_area
+    Figure.open_popup
     Figure.remove_animation
     Figure.render
     Figure.show
diff --git a/docs/source/api/layouts/imgui_figure.rst b/docs/source/api/layouts/imgui_figure.rst
new file mode 100644
index 000000000..38a546ae9
--- /dev/null
+++ b/docs/source/api/layouts/imgui_figure.rst
@@ -0,0 +1,49 @@
+.. _api.ImguiFigure:
+
+ImguiFigure
+***********
+
+===========
+ImguiFigure
+===========
+.. currentmodule:: fastplotlib.layouts
+
+Constructor
+~~~~~~~~~~~
+.. autosummary::
+    :toctree: ImguiFigure_api
+
+    ImguiFigure
+
+Properties
+~~~~~~~~~~
+.. autosummary::
+    :toctree: ImguiFigure_api
+
+    ImguiFigure.cameras
+    ImguiFigure.canvas
+    ImguiFigure.controllers
+    ImguiFigure.guis
+    ImguiFigure.imgui_renderer
+    ImguiFigure.names
+    ImguiFigure.renderer
+    ImguiFigure.shape
+
+Methods
+~~~~~~~
+.. autosummary::
+    :toctree: ImguiFigure_api
+
+    ImguiFigure.add_animations
+    ImguiFigure.add_gui
+    ImguiFigure.clear
+    ImguiFigure.close
+    ImguiFigure.export
+    ImguiFigure.get_pygfx_render_area
+    ImguiFigure.open_popup
+    ImguiFigure.register_popup
+    ImguiFigure.remove_animation
+    ImguiFigure.render
+    ImguiFigure.show
+    ImguiFigure.start_render
+
diff --git a/docs/source/api/layouts/index.rst b/docs/source/api/layouts/index.rst
new file mode 100644
index 000000000..51265fbf0
--- /dev/null
+++ b/docs/source/api/layouts/index.rst
@@ -0,0 +1,9 @@
+Layouts
+********
+
+.. toctree::
+    :maxdepth: 1
+
+    imgui_figure
+    figure
+    subplot
diff --git a/docs/source/api/layouts/subplot.rst b/docs/source/api/layouts/subplot.rst
index 61f5da307..3de44222d 100644
--- a/docs/source/api/layouts/subplot.rst
+++ b/docs/source/api/layouts/subplot.rst
@@ -20,6 +20,8 @@ Properties
 .. autosummary::
     :toctree: Subplot_api
 
+    Subplot.axes
+    Subplot.background_color
     Subplot.camera
     Subplot.canvas
     Subplot.controller
@@ -33,6 +35,7 @@ Properties
     Subplot.renderer
     Subplot.scene
     Subplot.selectors
+    Subplot.toolbar
     Subplot.viewport
 
 Methods
@@ -54,15 +57,13 @@ Methods
     Subplot.center_title
     Subplot.clear
     Subplot.delete_graphic
+    Subplot.get_figure
     Subplot.get_rect
-    Subplot.get_refcounts
     Subplot.insert_graphic
     Subplot.map_screen_to_world
     Subplot.remove_animation
     Subplot.remove_graphic
     Subplot.render
-    Subplot.set_axes_visibility
-    Subplot.set_grid_visibility
     Subplot.set_title
     Subplot.set_viewport_rect
 
diff --git a/docs/source/api/selectors/LinearRegionSelector.rst b/docs/source/api/selectors/LinearRegionSelector.rst
index c9140bc7d..6c8d2eefc 100644
--- a/docs/source/api/selectors/LinearRegionSelector.rst
+++ b/docs/source/api/selectors/LinearRegionSelector.rst
@@ -20,17 +20,22 @@ Properties
 .. autosummary::
     :toctree: LinearRegionSelector_api
 
+    LinearRegionSelector.axes
     LinearRegionSelector.axis
     LinearRegionSelector.block_events
     LinearRegionSelector.deleted
+    LinearRegionSelector.edge_color
     LinearRegionSelector.event_handlers
+    LinearRegionSelector.fill_color
     LinearRegionSelector.limits
     LinearRegionSelector.name
     LinearRegionSelector.offset
     LinearRegionSelector.parent
+    LinearRegionSelector.right_click_menu
     LinearRegionSelector.rotation
     LinearRegionSelector.selection
     LinearRegionSelector.supported_events
+    LinearRegionSelector.vertex_color
     LinearRegionSelector.visible
     LinearRegionSelector.world_object
 
@@ -39,13 +44,12 @@ Methods
 .. autosummary::
     :toctree: LinearRegionSelector_api
 
+    LinearRegionSelector.add_axes
     LinearRegionSelector.add_event_handler
-    LinearRegionSelector.add_ipywidget_handler
     LinearRegionSelector.clear_event_handlers
     LinearRegionSelector.get_selected_data
     LinearRegionSelector.get_selected_index
     LinearRegionSelector.get_selected_indices
-    LinearRegionSelector.make_ipywidget_slider
     LinearRegionSelector.remove_event_handler
     LinearRegionSelector.rotate
     LinearRegionSelector.share_property
diff --git a/docs/source/api/selectors/LinearSelector.rst b/docs/source/api/selectors/LinearSelector.rst
index fa21f8f15..b82e3c1df 100644
--- a/docs/source/api/selectors/LinearSelector.rst
+++ b/docs/source/api/selectors/LinearSelector.rst
@@ -20,17 +20,22 @@ Properties
 .. autosummary::
     :toctree: LinearSelector_api
 
+    LinearSelector.axes
     LinearSelector.axis
     LinearSelector.block_events
     LinearSelector.deleted
+    LinearSelector.edge_color
     LinearSelector.event_handlers
+    LinearSelector.fill_color
     LinearSelector.limits
     LinearSelector.name
     LinearSelector.offset
     LinearSelector.parent
+    LinearSelector.right_click_menu
     LinearSelector.rotation
     LinearSelector.selection
     LinearSelector.supported_events
+    LinearSelector.vertex_color
     LinearSelector.visible
     LinearSelector.world_object
 
@@ -39,13 +44,12 @@ Methods
 .. autosummary::
     :toctree: LinearSelector_api
 
+    LinearSelector.add_axes
     LinearSelector.add_event_handler
-    LinearSelector.add_ipywidget_handler
     LinearSelector.clear_event_handlers
     LinearSelector.get_selected_data
     LinearSelector.get_selected_index
     LinearSelector.get_selected_indices
-    LinearSelector.make_ipywidget_slider
     LinearSelector.remove_event_handler
     LinearSelector.rotate
     LinearSelector.share_property
diff --git a/docs/source/api/selectors/RectangleSelector.rst b/docs/source/api/selectors/RectangleSelector.rst
new file mode 100644
index 000000000..81c9afd66
--- /dev/null
+++ b/docs/source/api/selectors/RectangleSelector.rst
@@ -0,0 +1,57 @@
+.. _api.RectangleSelector:
+
+RectangleSelector
+*****************
+
+=================
+RectangleSelector
+=================
+.. currentmodule:: fastplotlib
+
+Constructor
+~~~~~~~~~~~
+.. autosummary::
+    :toctree: RectangleSelector_api
+
+    RectangleSelector
+
+Properties
+~~~~~~~~~~
+.. autosummary::
+    :toctree: RectangleSelector_api
+
+    RectangleSelector.axes
+    RectangleSelector.axis
+    RectangleSelector.block_events
+    RectangleSelector.deleted
+    RectangleSelector.edge_color
+    RectangleSelector.event_handlers
+    RectangleSelector.fill_color
+    RectangleSelector.limits
+    RectangleSelector.name
+    RectangleSelector.offset
+    RectangleSelector.parent
+    RectangleSelector.right_click_menu
+    RectangleSelector.rotation
+    RectangleSelector.selection
+    RectangleSelector.supported_events
+    RectangleSelector.vertex_color
+    RectangleSelector.visible
+    RectangleSelector.world_object
+
+Methods
+~~~~~~~
+.. autosummary::
+    :toctree: RectangleSelector_api
+
+    RectangleSelector.add_axes
+    RectangleSelector.add_event_handler
+    RectangleSelector.clear_event_handlers
+    RectangleSelector.get_selected_data
+    RectangleSelector.get_selected_index
+    RectangleSelector.get_selected_indices
+    RectangleSelector.remove_event_handler
+    RectangleSelector.rotate
+    RectangleSelector.share_property
+    RectangleSelector.unshare_property
+
diff --git a/docs/source/api/selectors/index.rst b/docs/source/api/selectors/index.rst
index ffa4054db..4a0caf8af 100644
--- a/docs/source/api/selectors/index.rst
+++ b/docs/source/api/selectors/index.rst
@@ -6,3 +6,4 @@ Selectors
 
     LinearSelector
     LinearRegionSelector
+    RectangleSelector
diff --git a/docs/source/api/ui/BaseGUI.rst b/docs/source/api/ui/BaseGUI.rst
new file mode 100644
index 000000000..788e1414a
--- /dev/null
+++ b/docs/source/api/ui/BaseGUI.rst
@@ -0,0 +1,30 @@
+.. _api.BaseGUI:
+
+BaseGUI
+*******
+
+=======
+BaseGUI
+=======
+.. currentmodule:: fastplotlib.ui
+
+Constructor
+~~~~~~~~~~~
+.. autosummary::
+    :toctree: BaseGUI_api
+
+    BaseGUI
+
+Properties
+~~~~~~~~~~
+.. autosummary::
+    :toctree: BaseGUI_api
+
+
+Methods
+~~~~~~~
+.. autosummary::
+    :toctree: BaseGUI_api
+
+    BaseGUI.update
+
diff --git a/docs/source/api/ui/EdgeWindow.rst b/docs/source/api/ui/EdgeWindow.rst
new file mode 100644
index 000000000..5835ab847
--- /dev/null
+++ b/docs/source/api/ui/EdgeWindow.rst
@@ -0,0 +1,38 @@
+.. _api.EdgeWindow:
+
+EdgeWindow
+**********
+
+==========
+EdgeWindow
+==========
+.. currentmodule:: fastplotlib.ui
+
+Constructor
+~~~~~~~~~~~
+.. autosummary::
+    :toctree: EdgeWindow_api
+
+    EdgeWindow
+
+Properties
+~~~~~~~~~~
+.. autosummary::
+    :toctree: EdgeWindow_api
+
+    EdgeWindow.height
+    EdgeWindow.location
+    EdgeWindow.size
+    EdgeWindow.width
+    EdgeWindow.x
+    EdgeWindow.y
+
+Methods
+~~~~~~~
+.. autosummary::
+    :toctree: EdgeWindow_api
+
+    EdgeWindow.draw_window
+    EdgeWindow.get_rect
+    EdgeWindow.update
+
diff --git a/docs/source/api/ui/Popup.rst b/docs/source/api/ui/Popup.rst
new file mode 100644
index 000000000..5e924db94
--- /dev/null
+++ b/docs/source/api/ui/Popup.rst
@@ -0,0 +1,31 @@
+.. _api.Popup:
+
+Popup
+*****
+
+=====
+Popup
+=====
+.. currentmodule:: fastplotlib.ui
+
+Constructor
+~~~~~~~~~~~
+.. autosummary::
+    :toctree: Popup_api
+
+    Popup
+
+Properties
+~~~~~~~~~~
+.. autosummary::
+    :toctree: Popup_api
+
+
+Methods
+~~~~~~~
+.. autosummary::
+    :toctree: Popup_api
+
+    Popup.open
+    Popup.update
+
diff --git a/docs/source/api/ui/Window.rst b/docs/source/api/ui/Window.rst
new file mode 100644
index 000000000..63c384261
--- /dev/null
+++ b/docs/source/api/ui/Window.rst
@@ -0,0 +1,30 @@
+.. _api.Window:
+
+Window
+******
+
+======
+Window
+======
+.. currentmodule:: fastplotlib.ui
+
+Constructor
+~~~~~~~~~~~
+.. autosummary::
+    :toctree: Window_api
+
+    Window
+
+Properties
+~~~~~~~~~~
+.. autosummary::
+    :toctree: Window_api
+
+
+Methods
+~~~~~~~
+.. autosummary::
+    :toctree: Window_api
+
+    Window.update
+
diff --git a/docs/source/api/ui/index.rst b/docs/source/api/ui/index.rst
new file mode 100644
index 000000000..4f31e651a
--- /dev/null
+++ b/docs/source/api/ui/index.rst
@@ -0,0 +1,10 @@
+UI Bases
+********
+
+.. toctree::
+    :maxdepth: 1
+
+    BaseGUI
+    Window
+    EdgeWindow
+    Popup
diff --git a/docs/source/api/widgets/ImageWidget.rst b/docs/source/api/widgets/ImageWidget.rst
index 3ca384968..fbafd4723 100644
--- a/docs/source/api/widgets/ImageWidget.rst
+++ b/docs/source/api/widgets/ImageWidget.rst
@@ -30,8 +30,6 @@ Properties
     ImageWidget.n_scrollable_dims
     ImageWidget.ndim
     ImageWidget.slider_dims
-    ImageWidget.sliders
-    ImageWidget.widget
     ImageWidget.window_funcs
 
 Methods
@@ -39,7 +37,10 @@ Methods
 .. autosummary::
     :toctree: ImageWidget_api
 
+    ImageWidget.add_event_handler
+    ImageWidget.clear_event_handlers
     ImageWidget.close
+    ImageWidget.remove_event_handler
     ImageWidget.reset_vmin_vmax
     ImageWidget.reset_vmin_vmax_frame
     ImageWidget.set_data
diff --git a/docs/source/conf.py b/docs/source/conf.py
index 4d94ec7e7..66b3c9317 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -10,14 +10,18 @@
 os.environ["WGPU_FORCE_OFFSCREEN"] = "1"
 
 import fastplotlib
+import pygfx
 from pygfx.utils.gallery_scraper import find_examples_for_gallery
 from pathlib import Path
 import sys
 from sphinx_gallery.sorting import ExplicitOrder
 import imageio.v3 as iio
 
+MAX_TEXTURE_SIZE = 2048
+pygfx.renderers.wgpu.set_wgpu_limits(**{"max-texture-dimension-2d": MAX_TEXTURE_SIZE})
+
 ROOT_DIR = Path(__file__).parents[1].parents[0]  # repo root
-EXAMPLES_DIR = Path.joinpath(ROOT_DIR, "examples", "desktop")
+EXAMPLES_DIR = Path.joinpath(ROOT_DIR, "examples")
 
 sys.path.insert(0, str(ROOT_DIR))
 
@@ -25,7 +29,7 @@
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
 
 project = "fastplotlib"
-copyright = "2023, Kushal Kolar, Caitlin Lewis"
+copyright = "2025, Kushal Kolar, Caitlin Lewis"
 author = "Kushal Kolar, Caitlin Lewis"
 release = fastplotlib.__version__
 
@@ -51,13 +55,18 @@
     "remove_config_comments": True,
     "subsection_order": ExplicitOrder(
         [
-            "../../examples/desktop/image",
-            "../../examples/desktop/gridplot",
-            "../../examples/desktop/line",
-            "../../examples/desktop/line_collection",
-            "../../examples/desktop/scatter",
-            "../../examples/desktop/heatmap",
-            "../../examples/desktop/misc"
+            "../../examples/image",
+            "../../examples/heatmap",
+            "../../examples/image_widget",
+            "../../examples/gridplot",
+            "../../examples/line",
+            "../../examples/line_collection",
+            "../../examples/scatter",
+            "../../examples/selection_tools",
+            "../../examples/machine_learning",
+            "../../examples/guis",
+            "../../examples/misc",
+            "../../examples/qt",
         ]
     ),
     "ignore_pattern": r'__init__\.py',
@@ -84,7 +93,17 @@
 # -- Options for HTML output -------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
 
-html_theme = "furo"
+html_theme = "pydata_sphinx_theme"
+
+html_theme_options = {
+    "navbar_end": ["theme-switcher", "version-switcher", "navbar-icon-links"],
+    "show_version_warning_banner": True,
+    "check_switcher": True,
+    "switcher": {
+        "json_url": "http://www.fastplotlib.org/_static/switcher.json",
+        "version_match": release
+    }
+}
 
 html_static_path = ["_static"]
 html_logo = "_static/logo.png"
@@ -99,13 +118,8 @@
 
 intersphinx_mapping = {
     "python": ("https://docs.python.org/3", None),
-    "numpy": ("https://numpy.org/doc/stable/", None),
-    "pygfx": ("https://pygfx.com/latest", None),
+    "numpy": ("https://numpy.org/doc/stable", None),
+    "pygfx": ("https://docs.pygfx.org/stable", None),
     "wgpu": ("https://wgpu-py.readthedocs.io/en/latest", None),
-}
-
-html_theme_options = {
-    "source_repository": "https://github.com/fastplotlib/fastplotlib",
-    "source_branch": "main",
-    "source_directory": "docs/",
+    # "fastplotlib": ("https://www.fastplotlib.org/", None),
 }
diff --git a/docs/source/developer_notes/graphics.rst b/docs/source/developer_notes/graphics.rst
new file mode 100644
index 000000000..71d99854a
--- /dev/null
+++ b/docs/source/developer_notes/graphics.rst
@@ -0,0 +1,76 @@
+Graphics
+========
+
+
+A ``Graphic`` is something that can be added to a ``PlotArea`` (described in detail in the layouts section). All the various
+fastplotlib graphics, such as ``ImageGraphic``, ``ScatterGraphic``, etc. inherit from the ``Graphic`` base class in
+``fastplotlib/graphics/_base.py``. It has a few properties that mostly wrap ``pygfx`` ``WorldObject`` properties and transforms.
+
+Inheritance Diagram
+-------------------
+
+.. code-block:: rst
+
+    Graphic
+    │
+    ├─ ImageGraphic
+    │
+    ├─ TextGraphic
+    │
+    ├─ PositionsGraphic
+    │   │
+    │   ├─ LineGraphic
+    │   │
+    │   └─ ScatterGraphic
+    │
+    └─ GraphicCollection
+        │
+        └─ LineCollection
+            │
+            └─ LineStack
+
+..
+
+All graphics can be given a string name for the user's convenience. This allows graphics to be easily accessed from
+plots, ex: ``subplot["some_image"]``.
+
+All graphics contain a ``world_object`` property which is just the ``pygfx.WorldObject`` that this graphic uses. Fastplotlib
+keeps a *private* global dictionary of all ``WorldObject`` instances and users are only given a weakref proxy to this world object.
+This is due to garbage collection. This may be quite complicated for beginners, for more details see this PR: https://github.com/fastplotlib/fastplotlib/pull/160 .
+Furthermore, garbage collection is even more complicated in ipython and jupyter (see https://github.com/fastplotlib/fastplotlib/pull/546 ).
+If you are curious or have more questions on garbage collection in ``fastplotlib`` you're welcome to post an issue :D.
+
+Graphic collections are collections of graphics. For now, we have a ``LineCollection`` which is a collection of ``LineGraphic`` objects. We also have a ``LineStack`` which
+inherits from ``LineCollection`` and gives some fixed offset between ``LineGraphic`` objects in the collection. A graphic collection behaves like an array of graphics.
+
+Graphic Properties
+------------------
+
+Graphic properties are all evented, and internally we call these "graphic features". They are the various
+aspects of a graphic that the user can change.
+The "graphic features" subpackage can be found at ``fastplotlib/graphics/_features``. As we can see this
+is a private subpackage and never meant to be accessible to users.
+
+For example let's look at ``LineGraphic`` in ``fastplotlib/graphics/line.py``. Every graphic has a class variable called
+``_features`` which is a set of all graphic properties that are evented. It has the following evented properties:
+``"data", "colors", "cmap", "thickness"`` in addition to properties common to all graphics, such as ``"name", "offset", "rotation", and "visible"``
+
+Now look at the constructor for the ``LineGraphic`` base class ``PositionsGraphic``, it first creates an instance of ``VertexPositions``.
+This is a class that manages vertex positions buffer. For the user, it defines the line data, and provides additional useful functionality.
+It defines the line, and provides additional useful functionality.
+For example, every time that the ``data`` is changed, the new data will be marked for upload to the GPU before the next draw.
+In addition, event handlers will be called if any event handlers are registered.
+
+``VertexColors`` behaves similarly, but it can perform additional parsing that can create the colors buffer from different
+forms of user input. For example if a user runs: ``line_graphic.colors = "blue"``, then ``VertexColors.__setitem__()`` will
+create a buffer that corresponds to what ``pygfx.Color`` thinks is "blue". Users can also take advantage of fancy indexing,
+ex: ``line_graphics.colors[bool_array] = "red"`` 😊
+
+``LineGraphic`` also has a ``VertexCmap``, this manages the line ``VertexColors`` instance to parse colormaps, for example:
+``line_graphic.cmap = "jet"`` or even ``line_graphic.cmap[50:] = "viridis"``.
+
+``LineGraphic`` also has a ``thickness`` property which is pretty simple, and ``DeletedFeature`` which is useful if you need
+callbacks to indicate that the graphic has been deleted (for example, removing references to a graphic from a legend).
+
+Other graphics have properties that are relevant to them, for example ``ImageGraphic`` has ``cmap``, ``vmin``, ``vmax``,
+properties unique to images.
\ No newline at end of file
diff --git a/docs/source/developer_notes/index.rst b/docs/source/developer_notes/index.rst
new file mode 100644
index 000000000..b0a448981
--- /dev/null
+++ b/docs/source/developer_notes/index.rst
@@ -0,0 +1,39 @@
+Developer Notes
+***************
+
+Welcome to the Developer Notes for `fastplotlib`. These notes aim to provide detailed and technical information
+about the various modules, classes, and functions that make up this library, as well as guidelines on how to write
+code that integrates nicely with our package. They are intended to help current and future developers understand
+the design decisions, and functioning of the library.
+
+**Intended Audience**
+
+These notes are primarily intended for the following groups:
+
+- **Current Developers**: The Developer Notes can serve as a comprehensive guide to understanding the library, making it easier to debug, modify and maintain the code.
+
+- **Future Developers**: These notes can help onboard new developers to the project, providing them with detailed explanations of the codebase and its underlying architecture.
+
+- **Contributors**: If you wish to contribute to the `fastplotlib` project, the Developer Notes can provide a solid foundation of understanding, helping to ensure that your contributions align with the existing structure and design principles of the library.
+
+- **Advanced Users**: While the primary focus of these notes is on development, they might also be of interest to advanced users who want a deeper understanding of the library's functionality.
+
+Please note that these notes assume a certain level of programming knowledge. Familiarity with Python, object-oriented programming, and the NumPy and pygfx libraries would be beneficial when reading these notes.
+
+**Sections**
+
+.. toctree::
+    :maxdepth: 2
+
+    graphics
+    layouts
+
+**Interact with us**
+
+If you're considering contributing to the library, first of all, welcome aboard! As a first step, we recommend that you read the `CONTRIBUTING.md <https://github.com/fastplotlib/fastplotlib/blob/main/CONTRIBUTING.md>`_ guidelines.
+These will help you understand how to interact with other contributors and how to submit your changes.
+
+If you have any questions or need further clarification on any of the topics covered in these notes, please don't hesitate to reach out to us. You can do so via the `discussion <https://github.com/fastplotlib/fastplotlib/discussions/landing>`_ forum on GitHub.
+
+We're looking forward to your contributions and to answering any questions you might have!
+
diff --git a/docs/source/developer_notes/layouts.rst b/docs/source/developer_notes/layouts.rst
new file mode 100644
index 000000000..4aacd38da
--- /dev/null
+++ b/docs/source/developer_notes/layouts.rst
@@ -0,0 +1,84 @@
+Layouts
+=======
+
+PlotArea
+--------
+
+This is the main base class within layouts. A ``Figure`` and ``Dock`` are areas within a ``Subplot`` that
+inherit from ``PlotArea``.
+
+``PlotArea`` has the following key properties that allow it to be a "plot area" that can be used to view graphical objects:
+
+* scene - instance of ``pygfx.Scene``
+* canvas - instance of ``WgpuCanvas``
+* renderer - instance of ``pygfx.WgpuRenderer``
+* viewport - instance of ``pygfx.Viewport``
+* camera - instance of ``pygfx.PerspectiveCamera``, we always just use ``PerspectiveCamera`` and just set ``camera.fov = 0`` for orthographic projections
+* controller - instance of ``pygfx.Controller``
+
+If these concepts are unfamiliar to you we recommend learning about how rendering engines work, the pygfx guide
+is a great place to start! https://docs.pygfx.org/stable/guide.html
+
+Here is also a short video that goes through the basic concepts: https://www.youtube.com/watch?v=cvcAjgMUPUA
+
+Abstract method that must be implemented in subclasses:
+
+* get_rect - must return [x, y, width, height] that defines the viewport rect for this ``PlotArea``
+
+Properties specifically used by subplots in a Figure:
+
+* parent - A parent if relevant, used by individual ``Subplots`` in ``Figure``, and by ``Dock`` which are "docked" subplots at the edges of a subplot.
+* position - if a subplot within a ``Figure``, it is the position of this subplot within the ``Figure``
+
+Other important properties:
+
+* graphics - a tuple of weakref proxies to all ``Graphics`` within this ``PlotArea``, users are only given weakref proxies to ``Graphic`` objects, all ``Graphic`` objects are stored in a private global dict.
+* selectors - a tuple of weakref proxies to all selectors within this ``PlotArea``
+* legend - a tuple of weakref proxies to all legend graphics within this ``PlotArea``
+* name - plot areas are allowed to have names that the user can use for their convenience
+
+Important methods:
+
+* add_graphic - add a ``Graphic`` to the ``PlotArea``, append to the end of the ``PlotArea._graphics`` list
+* insert_graphic - insert a ``Graphic`` to the ``PlotArea``, insert to a specific position of the ``PlotArea._graphics`` list
+* remove_graphic - remove a graphic from the ``Scene``, **does not delete it**
+* delete_graphic - delete a graphic from the ``PlotArea``, performs garbage collection
+* clear - deletes all graphics from the ``PlotArea``
+* center_graphic - center camera w.r.t. a ``Graphic``
+* center_scene - center camera w.r.t. entire ``Scene``
+* auto_scale - Auto-scale the camera w.r.t to the ``Scene``
+
+In addition, ``PlotArea`` supports ``__getitem__``, so you can do: ``plot_area["graphic_name"]`` to retrieve a ``Graphic`` by
+name.
+
+You can also check if a ``PlotArea`` has certain graphics, ex: ``"some_image_name" in plot_area``, or ``graphic_instance in plot_area``
+
+Subplot
+-------
+
+This class inherits from ``PlotArea`` and ``GraphicMethodsMixin``.
+
+``GraphicMethodsMixin`` is a simple class that just has all the ``add_<graphic>`` methods. It is autogenerated by a utility script like this:
+
+.. code-block:: bash
+
+    python scripts/generate_add_methods.py
+
+Each ``add_<graphic>`` method basically creates an instance of ``Graphic``, adds it to the ``Subplot``, and returns the ``Graphic``.
+
+``Subplot`` has one property that is not in ``PlotArea``:
+
+* docks: a ``dict`` of ``PlotAreas`` which are located at the "top", "right", "left", and "bottom" edges of a ``Subplot``.
+
+By default their size is ``0``. They are useful for putting things like histogram LUT tools.
+
+The key method in ``Subplot`` is an implementation of ``get_rect`` that returns the viewport rect for this subplot.
+
+Figure
+------
+
+Now that we have understood ``PlotArea`` and ``Subplot`` we need a way for the user to create them!
+
+A ``Figure`` contains a grid of subplot and has methods such as ``show()`` to output the figure.
+``Figure.__init__`` basically does a lot of parsing of user arguments to determine how to create
+the subplots. All subplots within a ``Figure`` share the same canvas and use different viewports to create the subplots.
\ No newline at end of file
diff --git a/docs/source/generate_api.py b/docs/source/generate_api.py
index 0150836ec..6887566cb 100644
--- a/docs/source/generate_api.py
+++ b/docs/source/generate_api.py
@@ -9,6 +9,7 @@
 from fastplotlib.graphics import _features, selectors
 from fastplotlib import widgets
 from fastplotlib import utils
+from fastplotlib import ui
 
 
 current_dir = Path(__file__).parent.resolve()
@@ -19,6 +20,7 @@
 GRAPHIC_FEATURES_DIR = API_DIR.joinpath("graphic_features")
 SELECTORS_DIR = API_DIR.joinpath("selectors")
 WIDGETS_DIR = API_DIR.joinpath("widgets")
+UI_DIR = API_DIR.joinpath("ui")
 
 doc_sources = [
     API_DIR,
@@ -27,12 +29,44 @@
     GRAPHIC_FEATURES_DIR,
     SELECTORS_DIR,
     WIDGETS_DIR,
+    UI_DIR,
 ]
 
 for source_dir in doc_sources:
     os.makedirs(source_dir, exist_ok=True)
 
 
+# this way we can just add the entire api dir to gitignore and generate before pushing
+with open(API_DIR.joinpath("fastplotlib.rst"), "w") as f:
+    f.write(
+        "fastplotlib\n"
+        "***********\n\n"
+        ".. currentmodule:: fastplotlib\n\n"
+
+        ".. autofunction:: fastplotlib.pause_events\n\n"
+        
+        ".. autofunction:: fastplotlib.enumerate_adapters\n\n"
+        
+        ".. autofunction:: fastplotlib.select_adapter\n\n"
+        
+        ".. autofunction:: fastplotlib.print_wgpu_report\n\n"
+        
+        "fastplotlib.loop\n"
+        "------------------\n"
+        "See the rendercanvas docs: https://rendercanvas.readthedocs.io/stable/api.html#rendercanvas.BaseLoop "
+    )
+
+with open(API_DIR.joinpath("utils.rst"), "w") as f:
+    f.write(
+        "fastplotlib.utils\n"
+        "*****************\n\n"
+        
+        "..currentmodule:: fastplotlib.utils\n"
+        "..automodule:: fastplotlib.utils.functions\n"
+        "    : members:\n"
+    )
+
+
 def get_public_members(cls) -> Tuple[List[str], List[str]]:
     """
     Returns (public_methods, public_properties)
@@ -143,11 +177,18 @@ def generate_page(
 def main():
     generate_page(
         page_name="Figure",
-        classes=[fastplotlib.Figure],
-        modules=["fastplotlib"],
+        classes=[fastplotlib.layouts._figure.Figure],
+        modules=["fastplotlib.layouts"],
         source_path=LAYOUTS_DIR.joinpath("figure.rst"),
     )
 
+    generate_page(
+        page_name="ImguiFigure",
+        classes=[fastplotlib.layouts.ImguiFigure],
+        modules=["fastplotlib.layouts"],
+        source_path=LAYOUTS_DIR.joinpath("imgui_figure.rst"),
+    )
+
     generate_page(
         page_name="Subplot",
         classes=[Subplot],
@@ -155,6 +196,20 @@ def main():
         source_path=LAYOUTS_DIR.joinpath("subplot.rst"),
     )
 
+    # layouts classes index file
+    with open(LAYOUTS_DIR.joinpath("index.rst"), "w") as f:
+        f.write(
+            f"Layouts\n"
+            f"********\n"
+            f"\n"
+            f".. toctree::\n"
+            f"    :maxdepth: 1\n"
+            f"\n"
+            f"    imgui_figure\n"
+            f"    figure\n"
+            f"    subplot\n"
+        )
+
     # the rest of this is a mess and can be refactored later
 
     graphic_classes = [getattr(graphics, g) for g in graphics.__all__]
@@ -258,17 +313,54 @@ def main():
         )
     ##############################################################################
 
+    ui_classes = [ui.BaseGUI, ui.Window, ui.EdgeWindow, ui.Popup]
+
+    ui_class_names = [cls.__name__ for cls in ui_classes]
+
+    ui_class_names_str = "\n    ".join([""] + ui_class_names)
+
+    with open(UI_DIR.joinpath("index.rst"), "w") as f:
+        f.write(
+            f"UI Bases\n"
+            f"********\n"
+            f"\n"
+            f".. toctree::\n"
+            f"    :maxdepth: 1\n"
+            f"{ui_class_names_str}\n"
+        )
+
+    for ui_cls in ui_classes:
+        generate_page(
+            page_name=ui_cls.__name__,
+            classes=[ui_cls],
+            modules=["fastplotlib.ui"],
+            source_path=UI_DIR.joinpath(f"{ui_cls.__name__}.rst"),
+        )
+
+    ##############################################################################
+
     utils_str = generate_functions_module(utils.functions, "fastplotlib.utils")
 
     with open(API_DIR.joinpath("utils.rst"), "w") as f:
         f.write(utils_str)
 
-    # gpu selection
-    fpl_functions = generate_functions_module(fastplotlib, "fastplotlib.utils.gpu")
-
-    with open(API_DIR.joinpath("gpu.rst"), "w") as f:
-        f.write(fpl_functions)
-
+    # nake API index file
+    with open(API_DIR.joinpath("index.rst"), "w") as f:
+        f.write(
+            "API Reference\n"
+            "*************\n\n"
+            ".. toctree::\n"
+            "    :caption: API Reference\n"
+            "    :maxdepth: 2\n\n"
+            "    layouts/index\n"
+            "    graphics/index\n"
+            "    graphic_features/index\n"
+            "    selectors/index\n"
+            "    ui/index\n"
+            "    widgets/index\n"
+            "    fastplotlib\n"
+            "    utils\n"
+        )
 
 if __name__ == "__main__":
     main()
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 6385c2aee..c44f4e3a8 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -2,60 +2,40 @@ Welcome to fastplotlib's documentation!
 =======================================
 
 .. toctree::
-   :caption: User Guide
+   :caption: Getting started
    :maxdepth:  2
 
-   GPU Info <user_guide/gpu>
+   user_guide/index
+   developer_notes/index
 
 .. toctree::
-   :maxdepth: 1
+   :maxdepth: 2
    :caption: API
-   
-   Figure <api/layouts/figure>
-   Subplot <api/layouts/subplot>
-   Graphics <api/graphics/index>
-   Graphic Features <api/graphic_features/index>
-   Selectors <api/selectors/index>
-   Widgets <api/widgets/index>
-   Utils <api/utils>
-   GPU <api/gpu>
+
+   api/index
 
 .. toctree::
    :caption: Gallery
-   :maxdepth:  1
+   :maxdepth: 1
 
-   Gallery <_gallery/index>
+   _gallery/index
 
 Summary
 =======
 
-A fast plotting library built using the `pygfx <https://github.com/pygfx/pygfx>`_ render engine utilizing `Vulkan <https://en.wikipedia.org/wiki/Vulkan>`_, `DX12 <https://en.wikipedia.org/wiki/DirectX#DirectX_12>`_, or `Metal <https://developer.apple.com/metal/>`_ via `WGPU <https://github.com/gfx-rs/wgpu-native>`_, so it is very fast! We also aim to be an expressive plotting library that enables rapid prototyping for large scale explorative scientific visualization. `fastplotlib` will run on any framework that ``pygfx`` runs on, this includes ``glfw``, ``Qt`` and ``jupyter lab``
-
-
-Installation
-============
-
-For installation please see the instructions on GitHub:
-
-https://github.com/kushalkolar/fastplotlib#installation
-
-FAQ
-===
-
-1. Axes, axis, ticks, labels, legends
-
-A: They are on the `roadmap <https://github.com/fastplotlib/fastplotlib/issues/55>`_ and expected by summer 2024 :)
-
-2. Why the parrot logo?
-
-A: The logo is a `swift parrot <https://en.wikipedia.org/wiki/Swift_parrot>`_, they are the fastest species of parrot and they are colorful like fastplotlib visualizations :D 
+Next-gen plotting library built using the `pygfx <https://github.com/pygfx/pygfx>`_ render engine utilizing
+`Vulkan <https://en.wikipedia.org/wiki/Vulkan>`_, `DX12 <https://en.wikipedia.org/wiki/DirectX#DirectX_12>`_, or
+`Metal <https://developer.apple.com/metal/>`_ via `WGPU <https://github.com/gfx-rs/wgpu-native>`_, so it is very fast!
+``fastplotlib`` is an expressive plotting library that enables rapid prototyping for large scale exploratory scientific
+visualization. ``fastplotlib`` will run on any framework that ``pygfx`` runs on, this includes ``glfw``, ``Qt``
+and ``jupyter lab``
 
 Contributing
 ============
 
-Contributions are welcome! See the contributing guide on GitHub: https://github.com/kushalkolar/fastplotlib/blob/master/CONTRIBUTING.md.
+Contributions are welcome! See the `contributing guide on GitHub <https://github.com/fastplotlib/fastplotlib/blob/main/CONTRIBUTING.md>`_
 
-Also take a look at the `Roadmap 2025 <https://github.com/kushalkolar/fastplotlib/issues/55>`_ for future plans or ways in which you could contribute.
+Also take a look at the `Roadmap 2025 <https://github.com/fastplotlib/fastplotlib/issues/55>`_ for future plans or ways in which you could contribute.
 
 Indices and tables
 ==================
diff --git a/docs/source/user_guide/faq.rst b/docs/source/user_guide/faq.rst
new file mode 100644
index 000000000..029daabab
--- /dev/null
+++ b/docs/source/user_guide/faq.rst
@@ -0,0 +1,134 @@
+FAQ
+===
+
+What is ``fastplotlib``?
+------------------------
+
+    `fastplotlib` is a scientific plotting library built on top of the `pygfx <https://github.com/pygfx/pygfx>`_ rendering engine
+    that leverages new graphics APIs and modern GPU hardware to create fast and interactive visualizations.
+
+
+What can I do with ``fastplotlib``?
+-----------------------------------
+
+    `fastplotlib` allows for:
+        - GPU accelerated visualization
+        - interactive visualization via an intuitive and expressive API
+        - rapid prototyping and algorithm design
+        - easy exploration and fast rendering of large-scale data
+        - design, develop, evaluate and ship machine learning models
+        - create visualizations for real-time acquisition systems for scientific instruments (cameras, etc.)
+
+Do I need a GPU?
+----------------
+
+    Integrated GPUs, such as those found in modern laptops, are sufficient for many use cases.
+
+    For the best performance you will require a dedicated GPU. You can think of it like running a game, a more complex visualization or faster rendering will require a better GPU.
+
+    Limited software rendering using just the CPU is supported on linux using lavapipe, but this is mostly only useful for testing purposes.
+
+How does ``fastplotlib`` relate to ``matplotlib``?
+--------------------------------------------------
+
+    `fastplotlib` is **not** related to `matplotlib` in any way.
+
+    These are two completely different libraries with their own APIs and use-cases. The `fastplotlib` library is primarily for *interactive*
+    visualization that runs on the GPU using WGPU. The `fastplotlib` architecture is completely different from `matplotlib`. Using `fastplotlib`
+    is more akin to using `numpy`.
+
+    To expand on this a bit more, the `pygfx` buffer interface is really unlike anything in`matplotlib` and other libraries which is a major reason
+    why `fastplotlib` can have an array-like API for plotting. We believe that these design choices make it much easier to learn how to use the library
+    and provide fine-grained control over your visualizations. See the "How can I learn to use `fastplotlib`?" section below.
+
+How can I learn to use ``fastplotlib``?
+---------------------------------------
+
+    We want `fastplotlib` to be easy to learn and use. To get started with the library we recommend taking a look at our `guide <https://fastplotlib.readthedocs.io/en/latest/user_guide/guide.html>`_ and
+    `examples gallery <https://fastplotlib.readthedocs.io/en/latest/_gallery/index.html>`_.
+
+    In general, if you are familiar with numpy and array notation you will already have a intuitive understanding of interacting
+    with your data in `fastplotlib`. If you have any questions, please do not hesitate to post an issue or discussion forum post.
+
+Should I use ``fastplotlib`` for making publication figures?
+------------------------------------------------------------
+
+    While `fastplotlib` figures can be exported to PNG using ``figure.export()``, `fastplotlib` is not intended for creating *static*
+    publication figures. There are many other libraries that are well-suited for this task.
+
+How does ``fastplotlib`` handle data loading?
+---------------------------------------------
+
+    `fastplotlib` is a plotting library and not a data handling or data loading library. These tasks are outside of the scope of
+    the library.
+
+    In general, if your data is an array-like object, `fastplotlib` should be able to use it. However, if you have any problems using your data objects,
+    please do not hesitate to post an issue! See this `issue <https://github.com/fastplotlib/fastplotlib/issues/483>`_ for more details.
+
+What is the scope of ``fastplotlib``?
+-------------------------------------
+
+    While the capabilities are very far-reaching, we would like to emphasize that `fastplotlib` is a general-purpose plotting library focused on scientific visualization.
+    More specifically, we aim to develop the tools necessary for users to build fast and interactive visualizations for a variety of scientific domains including but not limited to
+    neuroscience, astronomy, biology, computer vision, signal processing, and more. If you have a particular feature in mind that you feel is missing, please post an issue and we will respond
+    accordingly letting you know if it fits within the scope of the project.
+
+What types of PRs are we willing to accept?
+-------------------------------------------
+
+    Primarily the features of `fastplotlib` have been developed as they relate to the core-developers research use cases (mostly neuroscience, algorithm development, and machine learning). With that being said, there are many domains in which
+    we do not have the knowledge to best-implement the tools needed for proper visualization. We welcome all PRs that address these types of missing functionality. We
+    recommend taking a look at our `Roadmap <https://github.com/fastplotlib/fastplotlib/issues/55>`_ to get a better idea of what those items might be :D
+
+    Closely related to this, we would love to add more examples to our repo for different types of scientific visualizations. We welcome all PRs that showcase using `fastplotlib` for
+    your given research domain! :D
+
+    Lastly, documentation is a critical part of open-source software and makes learning/using our tool much easier. We welcome all PRs that add missing or needed documentation of the
+    codebase. If you find a piece of the codebase that is confusing or does not have proper documentation, please also feel free to post an issue on the repo!
+
+What frameworks does ``fastplotlib`` support?
+---------------------------------------------
+
+    The short answer is that `fastplotlib` can run on anything that `pygfx` runs on. This includes,
+        - `jupyter lab` using `jupyter_rfb`
+        - `PyQt` and `PySide`
+        - `glfw`
+        - `wxPython`
+
+    Notes:
+        - `jupyter_rfb <https://github.com/vispy/jupyter_rfb>`_ does not work in Google Collab, see https://github.com/vispy/jupyter_rfb/pull/77
+        - Non-blocking interactive Qt/PySide output is supported in ipython and notebooks, see the `interactive shells section in the user guide <http://fastplotlib.org/ver/dev/user_guide/guide.html#using-fastplotlib-in-an-interactive-shell>`_
+        - We do not officially support `jupyter notebook` through `jupyter_rfb` and strongly recommend using `jupyter lab`. Jupyter Notebook v7 might work, but this has not been extensively tested.
+        - We only support `jupyterlab` for use in notebooks. This means that we do not support VSCode notebooks or any other python notebook platform. Jupyterlab is the most reliable way to use widget-based libraries in notebooks.
+
+
+How can I use ``fastplotlib`` interactively?
+--------------------------------------------
+
+    There are multiple ways to use fastplotlib interactively.
+
+    1. Jupyter
+
+    On jupyter lab the jupyter backend (i.e. jupyter_rfb) is normally selected. This works via client-server rendering.
+    Images generated on the server are streamed to the client (Jupyter) via a jpeg byte stream. Events (such as mouse or keyboard events)
+    are then streamed in the opposite direction prompting new images to be generated by the server if necessary.
+    This remote-frame-buffer approach makes the rendering process very fast. `fastplotlib` viusalizations can be displayed
+    in cell output or on the side using sidecar.
+
+    A Qt backend can also optionally be used as well. If %gui qt is selected before importing `fastplotlib` then this
+    backend will be used instead.
+
+    Lastly, users can also force using glfw by specifying this as an argument when instantiating a
+    Figure (i.e. Figure(canvas="gflw").
+
+    **Note:** Do not mix between gui backends. For example, if you start the notebook using Qt, do not attempt to
+    force using another backend such as jupyter_rfb later.
+
+    2. IPython
+
+    Users can select between using a Qt backend or glfw using the same methods as above.
+
+Why the parrot logo?
+--------------------
+
+    The logo is a `swift parrot <https://en.wikipedia.org/wiki/Swift_parrot>`_, they are the fastest species of parrot and they are colorful like fastplotlib visualizations :D
diff --git a/docs/source/user_guide/gpu.rst b/docs/source/user_guide/gpu.rst
index 1bbc0c030..428c8600b 100644
--- a/docs/source/user_guide/gpu.rst
+++ b/docs/source/user_guide/gpu.rst
@@ -1,14 +1,14 @@
 GPU Info and selection
-**********************
+======================
 
 FAQ
-===
+---
 
 1. Do I need a GPU?
 
 Technically no, you can perform limited software rendering on linux using lavapipe (see drivers link below). However
 ``fastplotlib`` is intentionally built for realtime rendering using the latest GPU technologies, so we strongly
-recommend that you use a GPU.
+recommend that you use a GPU. Note that modern integrated graphics is often sufficient for many use-cases.
 
 2. My kernel keeps crashing.
 
@@ -24,18 +24,46 @@ If you aren't able to solve it please post an issue on GitHub. :)
 - Probably driver issues (see next section).
 
 Drivers
-=======
-
-See the README: https://github.com/fastplotlib/fastplotlib?tab=readme-ov-file#graphics-drivers
+-------
 
 If you notice weird graphic artifacts, things not rendering, or other glitches try updating to the latest stable
 drivers.
 
+More information is also available on the WGPU docs: https://wgpu-py.readthedocs.io/en/stable/start.html#platform-requirements
+
+Windows
+^^^^^^^
+
+Vulkan drivers should be installed by default on Windows 11, but you will need to install your GPU manufacturer's driver package (Nvidia or AMD). If you have an integrated GPU within your CPU, you might still need to install a driver package too, check your CPU manufacturer's info.
+
+Linux
+^^^^^
+
+You will generally need a linux distro that is from ~2020 or newer (ex. Ubuntu 18.04 won't work), this is due to the `glibc` requirements of the `wgpu-native` binary.
+
+Install the drivers directly from your GPU manufacturer's website, after that you may still need to install mesa vulkan drivers:
+
+Debian based distros::
+
+    sudo apt install mesa-vulkan-drivers
+
+For other distros install the corresponding vulkan driver package.
+
+Cloud compute
+~~~~~~~~~~~~~
+
+See the WGPU docs: https://wgpu-py.readthedocs.io/en/stable/start.html#cloud-compute
+
+Mac OSX
+^^^^^^^
+
+WGPU uses Metal instead of Vulkan on Mac. You will need at least Mac OSX 10.13. The OS should come with Metal pre-installed, so you should be good to go!
+
 GPU Info
-========
+--------
 
 View available adapters
------------------------
+^^^^^^^^^^^^^^^^^^^^^^^
 
 You can get a summary of all adapters that are available to ``WGPU`` like this::
 
@@ -59,7 +87,7 @@ You can get more detailed info on each adapter like this::
 
     import pprint
     for a in fpl.enumerate_adapters():
-        pprint.pprint(a.request_adapter_info())
+        pprint.pprint(a.info)
 
 General description of the fields:
     * vendor: GPU manufacturer
@@ -71,7 +99,7 @@ General description of the fields:
 For more information on the fields see: https://gpuweb.github.io/gpuweb/#gpuadapterinfo
 
 Adapter currently in use
-------------------------
+^^^^^^^^^^^^^^^^^^^^^^^^
 
 If you want to know the adapter that a figure is using you can check the adapter on the renderer::
 
@@ -85,7 +113,7 @@ If you want to know the adapter that a figure is using you can check the adapter
 
 
 Diagnostic info
----------------
+^^^^^^^^^^^^^^^
 
 After creating a figure you can view WGPU diagnostic info like this::
 
@@ -207,38 +235,38 @@ Example output::
 
                                                       adapter  device
 
-                                    max_bind_groups:        8       8
-                max_bind_groups_plus_vertex_buffers:        0       0
-                        max_bindings_per_bind_group:    1.00K   1.00K
-                                    max_buffer_size:    2.14G   2.14G
-              max_color_attachment_bytes_per_sample:        0       0
-                              max_color_attachments:        0       0
-              max_compute_invocations_per_workgroup:    1.02K   1.02K
-                       max_compute_workgroup_size_x:    1.02K   1.02K
-                       max_compute_workgroup_size_y:    1.02K   1.02K
-                       max_compute_workgroup_size_z:    1.02K   1.02K
-                 max_compute_workgroup_storage_size:    32.7K   32.7K
-               max_compute_workgroups_per_dimension:    65.5K   65.5K
-    max_dynamic_storage_buffers_per_pipeline_layout:        8       8
-    max_dynamic_uniform_buffers_per_pipeline_layout:       16      16
-                  max_inter_stage_shader_components:      128     128
-                   max_inter_stage_shader_variables:        0       0
-              max_sampled_textures_per_shader_stage:    8.38M   8.38M
-                      max_samplers_per_shader_stage:    8.38M   8.38M
-                    max_storage_buffer_binding_size:    2.14G   2.14G
-               max_storage_buffers_per_shader_stage:    8.38M   8.38M
-              max_storage_textures_per_shader_stage:    8.38M   8.38M
-                           max_texture_array_layers:    2.04K   2.04K
-                            max_texture_dimension1d:    16.3K   16.3K
-                            max_texture_dimension2d:    16.3K   16.3K
-                            max_texture_dimension3d:    2.04K   2.04K
-                    max_uniform_buffer_binding_size:    2.14G   2.14G
-               max_uniform_buffers_per_shader_stage:    8.38M   8.38M
-                              max_vertex_attributes:       32      32
-                     max_vertex_buffer_array_stride:    2.04K   2.04K
-                                 max_vertex_buffers:       16      16
-                min_storage_buffer_offset_alignment:       32      32
-                min_uniform_buffer_offset_alignment:       32      32
+                                    max-bind-groups:        8       8
+                max-bind-groups-plus-vertex-buffers:        0       0
+                        max-bindings-per-bind-group:    1.00K   1.00K
+                                    max-buffer-size:    2.14G   2.14G
+              max-color-attachment-bytes-per-sample:        0       0
+                              max-color-attachments:        0       0
+              max-compute-invocations-per-workgroup:    1.02K   1.02K
+                       max-compute-workgroup-size-x:    1.02K   1.02K
+                       max-compute-workgroup-size-y:    1.02K   1.02K
+                       max-compute-workgroup-size-z:    1.02K   1.02K
+                 max-compute-workgroup-storage-size:    32.7K   32.7K
+               max-compute-workgroups-per-dimension:    65.5K   65.5K
+    max-dynamic-storage-buffers-per-pipeline-layout:        8       8
+    max-dynamic-uniform-buffers-per-pipeline-layout:       16      16
+                  max-inter-stage-shader-components:      128     128
+                   max-inter-stage-shader-variables:        0       0
+              max-sampled-textures-per-shader-stage:    8.38M   8.38M
+                      max-samplers-per-shader-stage:    8.38M   8.38M
+                    max-storage-buffer-binding-size:    2.14G   2.14G
+               max-storage-buffers-per-shader-stage:    8.38M   8.38M
+              max-storage-textures-per-shader-stage:    8.38M   8.38M
+                           max-texture-array-layers:    2.04K   2.04K
+                           max-texture-dimension-1d:    16.3K   16.3K
+                           max-texture-dimension-2d:    16.3K   16.3K
+                           max-texture-dimension-3d:    2.04K   2.04K
+                    max-uniform-buffer-binding-size:    2.14G   2.14G
+               max-uniform-buffers-per-shader-stage:    8.38M   8.38M
+                              max-vertex-attributes:       32      32
+                     max-vertex-buffer-array-stride:    2.04K   2.04K
+                                 max-vertex-buffers:       16      16
+                min-storage-buffer-offset-alignment:       32      32
+                min-uniform-buffer-offset-alignment:       32      32
 
     ██ pygfx_caches:
 
@@ -259,7 +287,7 @@ Example output::
 
 
 Select GPU (adapter)
-====================
+--------------------
 
 You can select an adapter by passing one of the ``wgpu.GPUAdapter`` instances returned by ``fpl.enumerate_adapters()``
 to ``fpl.select_adapter()``::
@@ -267,7 +295,7 @@ to ``fpl.select_adapter()``::
     # get info or summary of all adapters to pick an adapter
     import pprint
     for a in fpl.enumerate_adapters():
-        pprint.pprint(a.request_adapter_info())
+        pprint.pprint(a.info)
 
     # example, pick adapter at index 2
     chosen_gpu = fpl.enumerate_adapters()[2]
@@ -279,7 +307,7 @@ to ``fpl.select_adapter()``::
 Note that using this function reduces the portability of your code, because
 it's highly specific for your current machine/environment.
 
-The order of the adapters returned by ``wgpu.gpu.enumerate_adapters()`` is
+The order of the adapters returned by ``fpl.enumerate_adapters()`` is
 such that Vulkan adapters go first, then Metal, then D3D12, then OpenGL.
 Within each category, the order as provided by the particular backend is
 maintained. Note that the same device may be present via multiple backends
diff --git a/docs/source/user_guide/guide.rst b/docs/source/user_guide/guide.rst
new file mode 100644
index 000000000..d544c42a3
--- /dev/null
+++ b/docs/source/user_guide/guide.rst
@@ -0,0 +1,700 @@
+User Guide
+==========
+
+Installation
+------------
+
+To install use pip:
+
+.. code-block::
+
+    # with imgui and jupyterlab
+    pip install -U "fastplotlib[notebook,imgui]"
+
+    # minimal install, install glfw, pyqt6 or pyside6 separately
+    pip install -U fastplotlib
+
+    # with imgui
+    pip install -U "fastplotlib[imgui]"
+
+    # to use in jupyterlab, no imgui
+    pip install -U "fastplotlib[notebook]"
+
+We strongly recommend installing ``simplejpeg`` for use in notebooks, you must first install `libjpeg-turbo <https://libjpeg-turbo.org/>`_.
+
+- If you use ``conda``, you can get ``libjpeg-turbo`` through conda.
+- If you are on linux you can get it through your distro's package manager.
+- For Windows and Mac compiled binaries are available on their release page: https://github.com/libjpeg-turbo/libjpeg-turbo/releases
+
+Once you have ``libjpeg-turbo``:
+
+.. code-block::
+
+    pip install simplejpeg
+
+What is ``fastplotlib``?
+------------------------
+
+``fastplotlib`` is a cutting-edge plotting library built using the `pygfx <https://github.com/pygfx/pygfx>`_ rendering engine.
+The lower-level details of the rendering process (i.e. defining a scene, camera, renderer, etc.) are abstracted away, allowing users to focus on their data.
+The fundamental goal of ``fastplotlib`` is to provide a high-level, expressive API that promotes large-scale explorative scientific visualization. We want to
+make it easy and intuitive to produce interactive visualizations that are as performant and vibrant as a modern video game 😄
+
+
+How to use ``fastplotlib``
+--------------------------
+
+Before giving a detailed overview of the library, here is a minimal example::
+
+    import fastplotlib as fpl
+    import imageio.v3 as iio
+
+    # create a `Figure`
+    fig = fpl.Figure()
+
+    # read data
+    data = iio.imread("imageio:astronaut.png")
+
+    # add image graphic
+    image_graphic = fig[0, 0].add_image(data=data)
+
+    # show the plot
+    fig.show()
+
+    if __name__ == "__main__":
+        fpl.run()
+
+.. image:: ../_static/guide_hello_world.png
+
+
+This is just a simple example of how the ``fastplotlib`` API works to create a plot, add some image data to the plot, and then visualize it.
+However, we are just scratching the surface of what is possible with ``fastplotlib``.
+Next, let's take a look at the building blocks of ``fastplotlib`` and how they can be used to create more complex visualizations.
+
+Figure
+------
+
+The starting point for creating any visualization in ``fastplotlib`` is a ``Figure`` object. This can be a single plot or a grid of subplots.
+The ``Figure`` object houses and takes care of the underlying rendering components such as the camera, controller, renderer, and canvas.
+Most users won't need to use these directly; however, the ability to directly interact with the rendering engine is still available if
+needed.
+
+By default, if no ``shape`` argument is provided when creating a ``Figure``, there will be a single subplot. All subplots in a ``Figure`` can be accessed using
+indexing (i.e. ``fig_object[i ,j]``).
+
+After defining a ``Figure``, we can begin to add ``Graphic`` objects.
+
+Graphics
+--------
+
+A ``Graphic`` can be an image, a line, a scatter, a collection of lines, and more. All graphics can also be given a convenient ``name``. This allows graphics
+to be easily accessed from figures::
+
+    # create a `Figure`
+    fig = fpl.Figure()
+
+    # read data
+    data = iio.imread("imageio:astronaut.png")
+
+    add image graphic
+    image_graphic = fig[0, 0].add_image(data=data, name="astronaut")
+
+    # show plot
+    fig.show()
+
+    # index plot to get graphic
+    fig[0, 0]["astronaut"]
+
+..
+
+See the examples gallery for examples on how to create and interactive with all the various types of graphics.
+
+Graphics also have mutable properties that can be linked to events. Some of these properties, such as the ``data`` or ``colors`` of a line can even be indexed,
+allowing for the creation of very powerful visualizations.
+
+(1) Common properties that all graphics have
+
++--------------+--------------------------------------------------------------------------------------------------------------+
+| Feature Name | Description                                                                                                  |
++==============+==============================================================================================================+
+| name         | Graphic name                                                                                                 |
++--------------+--------------------------------------------------------------------------------------------------------------+
+| offset       | Offset position of the graphic, [x, y, z]                                                                    |
++--------------+--------------------------------------------------------------------------------------------------------------+
+| rotation     | Graphic rotation quaternion                                                                                  |
++--------------+--------------------------------------------------------------------------------------------------------------+
+| visible      | Access or change the visibility                                                                              |
++--------------+--------------------------------------------------------------------------------------------------------------+
+| deleted      | Used when a graphic is deleted, triggers events that can be useful to indicate this graphic has been deleted |
++--------------+--------------------------------------------------------------------------------------------------------------+
+
+(2) Graphic-Specific properties
+
+    (a) ``ImageGraphic``
+
+    +------------------------+------------------------------------+
+    | Feature Name           | Description                        |
+    +========================+====================================+
+    | data                   | Underlying image data              |
+    +------------------------+------------------------------------+
+    | vmin                   | Lower contrast limit of an image   |
+    +------------------------+------------------------------------+
+    | vmax                   | Upper contrast limit of an image   |
+    +------------------------+------------------------------------+
+    | cmap                   | Colormap of an image               |
+    +------------------------+------------------------------------+
+
+    (b) ``LineGraphic``, ``LineCollection``, ``LineStack``
+
+    +--------------+--------------------------------+
+    | Feature Name | Description                    |
+    +==============+================================+
+    | data         | underlying data of the line(s) |
+    +--------------+--------------------------------+
+    | colors       | colors of the line(s)          |
+    +--------------+--------------------------------+
+    | cmap         | colormap of the line(s)        |
+    +--------------+--------------------------------+
+    | thickness    | thickness of the line(s)       |
+    +--------------+--------------------------------+
+
+    (c) ``ScatterGraphic``
+
+    +--------------+---------------------------------------+
+    | Feature Name | Description                           |
+    +==============+=======================================+
+    | data         | underlying data of the scatter points |
+    +--------------+---------------------------------------+
+    | colors       | colors of the scatter points          |
+    +--------------+---------------------------------------+
+    | cmap         | colormap of the scatter points        |
+    +--------------+---------------------------------------+
+    | sizes        | size of the scatter points            |
+    +--------------+---------------------------------------+
+
+    (d) ``TextGraphic``
+
+    +-------------------+---------------------------+
+    | Feature Name      | Description               |
+    +===================+===========================+
+    | text              | data of the text          |
+    +-------------------+---------------------------+
+    | font_size         | size of the text          |
+    +-------------------+---------------------------+
+    | face_color        | color of the text face    |
+    +-------------------+---------------------------+
+    | outline_color     | color of the text outline |
+    +-------------------+---------------------------+
+    | outline_thickness | thickness of the text     |
+    +-------------------+---------------------------+
+
+Using our example from above: once we add a ``Graphic`` to the figure, we can then begin to change its properties. ::
+
+    image_graphic.vmax = 150
+
+.. image:: ../_static/guide_hello_world_vmax.png
+
+``Graphic`` properties also support numpy-like slicing for getting and setting data. For example ::
+
+    # basic numpy-like slicing, set the top right corner
+    image_graphic.data[:150, -150:] = 0
+
+.. image:: ../_static/guide_hello_world_simple_slicing.png
+
+Fancy indexing is also supported! ::
+
+    bool_array = np.random.choice([True, False], size=(512, 512), p=[0.1, 0.9])
+    image_graphic.data[bool_array] = 254
+
+.. image:: ../_static/guide_hello_world_fancy_slicing.png
+
+
+Selectors
+---------
+
+A primary feature of ``fastplotlib`` is the ability to easily interact with your data. Two extremely helpful tools that can
+be used in order to facilitate this process are a ``LinearSelector`` and ``LinearRegionSelector``.
+
+A ``LinearSelector`` is a horizontal or vertical line slider. This tool allows you to very easily select different points in your
+data. Let's look at an example: ::
+
+    import fastplotlib as fpl
+    import numpy as np
+
+    # generate data
+    xs = np.linspace(-10, 10, 100)
+    ys = np.sin(xs)
+    sine = np.column_stack([xs, ys])
+
+    fig = fpl.Figure()
+
+    sine_graphic = fig[0, 0].add_line(data=sine, colors="w")
+
+    # add a linear selector the sine wave
+    selector = sine_graphic.add_linear_selector()
+
+    fig.show(maintain_aspect=False)
+
+.. image:: ../_static/guide_linear_selector.webp
+
+
+A ``LinearRegionSelector`` is very similar to a ``LinearSelector`` but as opposed to selecting a singular point of
+your data, you are able to select an entire region.
+
+See the examples gallery for more in-depth examples with selector tools.
+
+Now we have the basics of creating a ``Figure``, adding ``Graphics`` to a ``Figure``, and working with ``Graphic`` properties to dynamically change or alter them.
+Let's take a look at how we can define events to link ``Graphics`` and their properties together.
+
+Events
+------
+
+Events can be a multitude of things: traditional events such as mouse or keyboard events, or events related to ``Graphic`` properties.
+
+There are two ways to add events in ``fastplotlib``.
+
+1) Use the method `add_event_handler()` ::
+
+    def event_handler(ev):
+        pass
+
+    graphic.add_event_handler(event_handler, "event_type")
+
+..
+
+
+2) or a decorator ::
+
+    @graphic.add_event_handler("event_type")
+    def event_handler(ev):
+        pass
+
+..
+
+
+The ``event_handler`` is a user-defined function that accepts an event instance as the first and only positional argument.
+Information about the structure of event instances are described below. The ``"event_type"``
+is a string that identifies the type of event; this can be either a ``pygfx.Event`` or a ``Graphic`` property event.
+
+``graphic.supported_events`` will return a tuple of all ``event_type`` strings that this graphic supports.
+
+When an event occurs, the user-defined event handler will receive an event object. Depending on the type of event, the
+event object will have relevant information that can be used in the callback. See below for event tables.
+
+Graphic property events
+^^^^^^^^^^^^^^^^^^^^^^^
+
+All ``Graphic`` events have the following attributes:
+
+    +------------+-------------+-----------------------------------------------+
+    | attribute  | type        | description                                   |
+    +============+=============+===============================================+
+    | type       | str         | "colors" - name of the event                  |
+    +------------+-------------+-----------------------------------------------+
+    | graphic    | Graphic     | graphic instance that the event is from       |
+    +------------+-------------+-----------------------------------------------+
+    | info       | dict        | event info dictionary                         |
+    +------------+-------------+-----------------------------------------------+
+    | target     | WorldObject | pygfx rendering engine object for the graphic |
+    +------------+-------------+-----------------------------------------------+
+    | time_stamp | float       | time when the event occurred, in ms           |
+    +------------+-------------+-----------------------------------------------+
+
+The ``info`` attribute will house additional information for different ``Graphic`` property events:
+
+event_type: "colors"
+
+    Vertex Colors
+
+    **info dict**
+
+    +------------+-----------------------------------------------------------+----------------------------------------------------------------------------------+
+    | dict key   | value type                                                | value description                                                                |
+    +============+===========================================================+==================================================================================+
+    | key        | int | slice | np.ndarray[int | bool] | tuple[slice, ...]  | key at which colors were indexed/sliced                                          |
+    +------------+-----------------------------------------------------------+----------------------------------------------------------------------------------+
+    | value      | np.ndarray                                                | new color values for points that were changed, shape is [n_points_changed, RGBA] |
+    +------------+-----------------------------------------------------------+----------------------------------------------------------------------------------+
+    | user_value | str | np.ndarray | tuple[float] | list[float] | list[str] | user input value that was parsed into the RGBA array                             |
+    +------------+-----------------------------------------------------------+----------------------------------------------------------------------------------+
+
+    Uniform Colors
+
+    **info dict**
+
+    +------------+-----------------------------------------------------------+----------------------------------------------------------------------------------+
+    | dict key   | value type                                                | value description                                                                |
+    +============+===========================================================+==================================================================================+
+    | value      | np.ndarray                                                | new color values for points that were changed, shape is [n_points_changed, RGBA] |
+    +------------+-----------------------------------------------------------+----------------------------------------------------------------------------------+
+
+event_type: "sizes"
+
+    **info dict**
+
+    +----------+----------------------------------------------------------+------------------------------------------------------------------------------------------+
+    | dict key | value type                                               | value description                                                                        |
+    +==========+==========================================================+==========================================================================================+
+    | key      | int | slice | np.ndarray[int | bool] | tuple[slice, ...] | key at which vertex positions data were indexed/sliced                                   |
+    +----------+----------------------------------------------------------+------------------------------------------------------------------------------------------+
+    | value    | np.ndarray | float | list[float]                         | new data values for points that were changed, shape depends on the indices that were set |
+    +----------+----------------------------------------------------------+------------------------------------------------------------------------------------------+
+
+event_type: "data"
+
+    **info dict**
+
+    +----------+----------------------------------------------------------+------------------------------------------------------------------------------------------+
+    | dict key | value type                                               | value description                                                                        |
+    +==========+==========================================================+==========================================================================================+
+    | key      | int | slice | np.ndarray[int | bool] | tuple[slice, ...] | key at which vertex positions data were indexed/sliced                                   |
+    +----------+----------------------------------------------------------+------------------------------------------------------------------------------------------+
+    | value    | np.ndarray | float | list[float]                         | new data values for points that were changed, shape depends on the indices that were set |
+    +----------+----------------------------------------------------------+------------------------------------------------------------------------------------------+
+
+event_type: "thickness"
+
+    **info dict**
+
+    +------------+-----------------------------------------------------------+----------------------------------------------------------------------------------+
+    | dict key   | value type                                                | value description                                                                |
+    +============+===========================================================+==================================================================================+
+    | value      | float                                                     | new thickness value                                                              |
+    +------------+-----------------------------------------------------------+----------------------------------------------------------------------------------+
+
+event_type: "cmap"
+
+    **info dict**
+
+    +------------+-----------------------------------------------------------+----------------------------------------------------------------------------------+
+    | dict key   | value type                                                | value description                                                                |
+    +============+===========================================================+==================================================================================+
+    | value      | string                                                    | new colormap value                                                               |
+    +------------+-----------------------------------------------------------+----------------------------------------------------------------------------------+
+
+event_type: "selection"
+
+    ``LinearSelector``
+
+    **additional event attributes:**
+
+    +--------------------+----------+------------------------------------+
+    | attribute          | type     | description                        |
+    +====================+==========+====================================+
+    | get_selected_index | callable | returns indices under the selector |
+    +--------------------+----------+------------------------------------+
+
+    **info dict:**
+
+    +----------+------------+-------------------------------+
+    | dict key | value type | value description             |
+    +==========+============+===============================+
+    | value    | np.ndarray | new x or y value of selection |
+    +----------+------------+-------------------------------+
+
+    ``LinearRegionSelector``
+
+    **additional event attributes:**
+
+    +----------------------+----------+------------------------------------+
+    | attribute            | type     | description                        |
+    +======================+==========+====================================+
+    | get_selected_indices | callable | returns indices under the selector |
+    +----------------------+----------+------------------------------------+
+    | get_selected_data    | callable | returns data under the selector    |
+    +----------------------+----------+------------------------------------+
+
+    **info dict:**
+
+    +----------+------------+-----------------------------+
+    | dict key | value type | value description           |
+    +==========+============+=============================+
+    | value    | np.ndarray | new [min, max] of selection |
+    +----------+------------+-----------------------------+
+
+Rendering engine events from a Graphic
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Rendering engine event handlers can be added to a graphic or to a Figure (see next section).
+Here is a description of all rendering engine events and their attributes.
+
+* **pointer_down**: emitted when the user interacts with mouse,
+  touch or other pointer devices, by pressing it down.
+
+    * *x*: horizontal position of the pointer within the widget.
+    * *y*: vertical position of the pointer within the widget.
+    * *button*: the button to which this event applies. See "Mouse buttons" section below for details.
+    * *buttons*: a tuple of buttons being pressed down.
+    * *modifiers*: a tuple of modifier keys being pressed down. See section below for details.
+    * *ntouches*: the number of simultaneous pointers being down.
+    * *touches*: a dict with int keys (pointer id's), and values that are dicts
+      that contain "x", "y", and "pressure".
+    * *time_stamp*: a timestamp in seconds.
+
+* **pointer_up**: emitted when the user releases a pointer.
+  This event has the same keys as the pointer down event.
+
+* **pointer_move**: emitted when the user moves a pointer.
+  This event has the same keys as the pointer down event.
+  This event is throttled.
+
+* **double_click**: emitted on a double-click.
+  This event looks like a pointer event, but without the touches.
+
+* **wheel**: emitted when the mouse-wheel is used (scrolling),
+  or when scrolling/pinching on the touchpad/touchscreen.
+
+  Similar to the JS wheel event, the values of the deltas depend on the
+  platform and whether the mouse-wheel, trackpad or a touch-gesture is
+  used. Also, scrolling can be linear or have inertia. As a rule of
+  thumb, one "wheel action" results in a cumulative ``dy`` of around
+  100. Positive values of ``dy`` are associated with scrolling down and
+  zooming out. Positive values of ``dx`` are associated with scrolling
+  to the right. (A note for Qt users: the sign of the deltas is (usually)
+  reversed compared to the QWheelEvent.)
+
+  On MacOS, using the mouse-wheel while holding shift results in horizontal
+  scrolling. In applications where the scroll dimension does not matter,
+  it is therefore recommended to use `delta = event['dy'] or event['dx']`.
+
+    * *dx*: the horizontal scroll delta (positive means scroll right).
+    * *dy*: the vertical scroll delta (positive means scroll down or zoom out).
+    * *x*: the mouse horizontal position during the scroll.
+    * *y*: the mouse vertical position during the scroll.
+    * *buttons*: a tuple of buttons being pressed down.
+    * *modifiers*: a tuple of modifier keys being pressed down.
+    * *time_stamp*: a timestamp in seconds.
+
+* **key_down**: emitted when a key is pressed down.
+
+    * *key*: the key being pressed as a string. See section below for details.
+    * *modifiers*: a tuple of modifier keys being pressed down.
+    * *time_stamp*: a timestamp in seconds.
+
+* **key_up**: emitted when a key is released.
+  This event has the same keys as the key down event.
+
+
+Time stamps
+~~~~~~~~~~~
+
+Since the time origin of ``time_stamp`` values is undefined,
+time stamp values only make sense in relation to other time stamps.
+
+
+Mouse buttons
+~~~~~~~~~~~~~
+
+* 0: No button.
+* 1: Left button.
+* 2: Right button.
+* 3: Middle button
+* 4-9: etc.
+
+
+Keys
+~~~~
+
+The key names follow the `browser spec <https://developer.mozilla.org/en-US/docs/Web/API/KeyboardEvent>`_.
+
+* Keys that represent a character are simply denoted as such. For these the case matters:
+  "a", "A", "z", "Z" "3", "7", "&", " " (space), etc.
+* The modifier keys are:
+  "Shift", "Control", "Alt", "Meta".
+* Some example keys that do not represent a character:
+  "ArrowDown", "ArrowUp", "ArrowLeft", "ArrowRight", "F1", "Backspace", etc.
+
+
+Add renderer event handlers to a Figure
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+You can add event handlers to a ``Figure`` object's renderer. For example, this is useful for defining click events
+where you want to map click positions to the nearest graphic object. See the previous section for a description
+of all the renderer events.
+
+Renderer event handlers can be added using a method or a decorator.
+
+For example: ::
+
+    import fastplotlib as fpl
+    import numpy as np
+
+    # generate some circles
+    def make_circle(center, radius: float, n_points: int = 75) -> np.ndarray:
+        theta = np.linspace(0, 2 * np.pi, n_points)
+        xs = radius * np.sin(theta)
+        ys = radius * np.cos(theta)
+
+        return np.column_stack([xs, ys]) + center
+
+    # this makes 5 circles, so we can create 5 cmap values, so it will use these values to set the
+    # color of the line based by using the cmap as a LUT with the corresponding cmap_value
+    circles = list()
+    for x in range(0, 50, 10):
+        circles.append(make_circle(center=(x, 0), radius=4, n_points=100))
+
+    # create figure
+    fig = fpl.Figure()
+
+    # add circles to plot
+    circles_graphic = fig[0,0].add_line_collection(data=circles, cmap="tab10", thickness=10)
+
+    # get the nearest graphic that is clicked and change the color
+    @fig.renderer.add_event_handler("click")
+    def click_event(ev):
+        # reset colors
+        circles_graphic.cmap = "tab10"
+
+        # map the click position to world coordinates
+        xy = fig[0, 0].map_screen_to_world(ev)[:-1]
+
+        # get the nearest graphic to the position
+        nearest = fpl.utils.get_nearest_graphics(xy, circles_graphic)[0]
+
+        # change the closest graphic color to white
+        nearest.colors = "w"
+
+    fig.show()
+
+.. image:: ../_static/guide_click_event.webp
+
+ImageWidget
+-----------
+
+Often times, developing UIs for interacting with multi-dimension image data can be tedious and repetitive.
+In order to aid with common image and video visualization requirements the ``ImageWidget`` automatically generates sliders
+to easily navigate through different dimensions of your data. The image widget supports 2D, 3D and 4D arrays.
+
+Let's look at an example: ::
+
+    import fastplotlib as fpl
+    import imageio.v3 as iio
+
+    movie = iio.imread("imageio:cockatoo.mp4")
+
+    # convert RGB movie to grayscale
+    gray_movie = np.dot(movie[..., :3], [0.299, 0.587, 0.114])
+
+    iw_movie = ImageWidget(
+    data=gray_movie,
+    cmap="gray"
+    )
+
+    iw_movie.show()
+
+.. image:: ../_static/guide_image_widget.webp
+
+Animations
+----------
+
+An animation function is a user-defined function that gets called on every rendering cycle. Let's look at an example: ::
+
+    import fastplotlib as fpl
+    import numpy as np
+
+    # generate some data
+    start, stop = 0, 2 * np.pi
+    increment = (2 * np.pi) / 50
+
+    # make a simple sine wave
+    xs = np.linspace(start, stop, 100)
+    ys = np.sin(xs)
+
+    figure = fpl.Figure(size=(700, 560))
+
+    # plot the image data
+    sine = figure[0, 0].add_line(ys, name="sine", colors="r")
+
+
+    # increment along the x-axis on each render loop :D
+    def update_line(subplot):
+        global increment, start, stop
+        xs = np.linspace(start + increment, stop + increment, 100)
+        ys = np.sin(xs)
+
+        start += increment
+        stop += increment
+
+        # change only the y-axis values of the line
+        subplot["sine"].data[:, 1] = ys
+
+
+    figure[0, 0].add_animations(update_line)
+
+    figure.show(maintain_aspect=False)
+
+.. image:: ../_static/guide_animation.webp
+
+Here we are defining a function that updates the data of the ``LineGraphic`` in the plot with new data. When adding an animation function, the
+user-defined function will receive a subplot instance as an argument when it is called.
+
+Spaces
+------
+
+There are several spaces to consider when using ``fastplotlib``:
+
+1) World Space
+
+    World space is the 3D space in which graphical objects live. Objects
+    and the camera can exist anywhere in this space.
+
+2) Data Space
+
+    Data space is simply the world space plus any offset or rotation that has been applied to an object.
+
+.. note::
+    World space does not always correspond directly to data space, you may have to adjust for any offset or rotation of the ``Graphic``.
+
+3) Screen Space
+
+    Screen space is the 2D space in which your screen pixels reside. This space is constrained by the screen width and height in pixels.
+    In the rendering process, the camera is responsible for projecting the world space into screen space.
+
+.. note::
+    When interacting with ``Graphic`` objects, there is a very helpful function for mapping screen space to world space
+    (``Figure.map_screen_to_world(pos=(x, y))``). This can be particularly useful when working with click events where click
+    positions are returned in screen space but ``Graphic`` objects that you may want to interact with exist in world
+    space.
+
+For more information on the various spaces used by rendering engines please see this `article <https://learnopengl.com/Getting-started/Coordinate-Systems>`_
+
+Imgui
+-----
+
+Fastplotlib uses `imgui_bundle <https://github.com/pthom/imgui_bundle>`_ to provide within-canvas UI elemenents if you
+installed ``fastplotlib`` using the ``imgui`` toggle, i.e. ``fastplotlib[imgui]``, or installed ``imgui_bundle`` afterwards.
+
+Fastplotlib comes built-in with imgui UIs for subplot toolbars and a standard right-click menu with a number of options.
+You can also make custom GUIs and embed them within the canvas, see the examples gallery for detailed examples.
+
+.. note::
+    Imgui is optional, you can use other GUI frameworks such at Qt or ipywidgets with fastplotlib. You can also of course
+    use imgui and Qt or ipywidgets.
+
+.. image:: ../_static/guide_imgui.png
+
+Using ``fastplotlib`` in an interactive shell
+---------------------------------------------
+
+There are multiple ways to use ``fastplotlib`` in interactive shells, such as ipython.
+
+1) Jupyter
+
+On ``jupyter lab`` the jupyter backend (i.e. ``jupyter_rfb``) is normally selected. This works via
+client-server rendering. Images generated on the server are streamed to the client (Jupyter) via a jpeg byte stream.
+Events (such as mouse or keyboard events) are then streamed in the opposite direction prompting new images to be generated
+by the server if necessary. This remote-frame-buffer approach makes the rendering process very fast. ``fastplotlib`` viusalizations
+can be displayed in cell output or on the side using ``sidecar``.
+
+A Qt backend can also optionally be used as well. If ``%gui qt`` is selected before importing ``fastplotlib`` then this backend
+will be used instead.
+
+Lastly, users can also force using ``glfw`` by specifying this as an argument when instantiating a ``Figure`` (i.e. ``Figure(canvas="gflw"``).
+
+.. note::
+    Do not mix between gui backends. For example, if you start the notebook using Qt, do not attempt to force using another backend such
+    as ``jupyter_rfb`` later.
+
+2) IPython
+
+Users can select between using a Qt backend or gflw using the same methods as above.
diff --git a/docs/source/user_guide/index.rst b/docs/source/user_guide/index.rst
new file mode 100644
index 000000000..59189be22
--- /dev/null
+++ b/docs/source/user_guide/index.rst
@@ -0,0 +1,10 @@
+User Guide
+**********
+
+.. toctree::
+   :caption: User Guide
+   :maxdepth:  2
+
+   guide
+   gpu
+   faq
diff --git a/examples/README.rst b/examples/README.rst
index 138ec748b..fd8eb8da2 100644
--- a/examples/README.rst
+++ b/examples/README.rst
@@ -1,2 +1,2 @@
-Examples that use fastplotlib
-=============================
+Examples Gallery
+****************
diff --git a/examples/data/iris.npy b/examples/data/iris.npy
new file mode 100644
index 000000000..052b84bac
--- /dev/null
+++ b/examples/data/iris.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9d225ff4d95359a808b30d2e3e4462dd126f9781a827acb00e832c8a9d4f9cb0
+size 4928
diff --git a/examples/desktop/README.rst b/examples/desktop/README.rst
deleted file mode 100644
index e69de29bb..000000000
diff --git a/examples/desktop/data/iris.npy b/examples/desktop/data/iris.npy
deleted file mode 100644
index a8c7e5ab0..000000000
Binary files a/examples/desktop/data/iris.npy and /dev/null differ
diff --git a/examples/desktop/heatmap/heatmap_cmap.py b/examples/desktop/heatmap/heatmap_cmap.py
deleted file mode 100644
index f51981bed..000000000
--- a/examples/desktop/heatmap/heatmap_cmap.py
+++ /dev/null
@@ -1,37 +0,0 @@
-"""
-Heatmap change cmap
-===================
-Change the cmap of a heatmap
-"""
-
-
-# test_example = false
-# sphinx_gallery_pygfx_docs = 'hidden'
-
-import fastplotlib as fpl
-import numpy as np
-
-figure = fpl.Figure()
-
-xs = np.linspace(0, 1_000, 10_000, dtype=np.float32)
-
-sine = np.sin(np.sqrt(xs))
-
-data = np.vstack([sine * i for i in range(20_000)])
-
-# plot the image data
-img = figure[0, 0].add_image(data=data, name="heatmap")
-
-figure.show()
-
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
-
-img.cmap = "viridis"
-
-# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
-# please see our docs for using fastplotlib interactively in ipython and jupyter
-if __name__ == "__main__":
-    print(__doc__)
-    fpl.run()
diff --git a/examples/desktop/heatmap/heatmap_data.py b/examples/desktop/heatmap/heatmap_data.py
deleted file mode 100644
index 9334ea4d7..000000000
--- a/examples/desktop/heatmap/heatmap_data.py
+++ /dev/null
@@ -1,38 +0,0 @@
-"""
-Heatmap change data
-===================
-Change the data of a heatmap
-"""
-
-# test_example = false
-# sphinx_gallery_pygfx_docs = 'hidden'
-
-import fastplotlib as fpl
-import numpy as np
-
-figure = fpl.Figure()
-
-xs = np.linspace(0, 1_000, 9_000, dtype=np.float32)
-
-sine = np.sin(np.sqrt(xs))
-
-data = np.vstack([sine * i for i in range(9_000)])
-
-# plot the image data
-img = figure[0, 0].add_image(data=data, name="heatmap")
-
-figure.show()
-
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
-cosine = np.cos(np.sqrt(xs)[:3000])
-
-# change first 2,000 rows and 3,000 columns
-img.data[:2_000, :3_000] = np.vstack([cosine * i * 4 for i in range(2_000)])
-
-# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
-# please see our docs for using fastplotlib interactively in ipython and jupyter
-if __name__ == "__main__":
-    print(__doc__)
-    fpl.run()
diff --git a/examples/desktop/heatmap/heatmap_square.py b/examples/desktop/heatmap/heatmap_square.py
deleted file mode 100644
index 51e71695a..000000000
--- a/examples/desktop/heatmap/heatmap_square.py
+++ /dev/null
@@ -1,34 +0,0 @@
-"""
-Square Heatmap
-==============
-square heatmap test
-"""
-
-# test_example = false
-# sphinx_gallery_pygfx_docs = 'hidden'
-
-import fastplotlib as fpl
-import numpy as np
-
-
-figure = fpl.Figure()
-
-xs = np.linspace(0, 1_000, 20_000, dtype=np.float32)
-
-sine = np.sin(np.sqrt(xs))
-
-data = np.vstack([sine * i for i in range(20_000)])
-
-# plot the image data
-img = figure[0, 0].add_image(data=data, name="heatmap")
-
-del data  # data no longer needed after given to graphic
-figure.show()
-
-figure.canvas.set_logical_size(1500, 1500)
-
-figure[0, 0].auto_scale()
-
-if __name__ == "__main__":
-    print(__doc__)
-    fpl.run()
diff --git a/examples/desktop/heatmap/heatmap_vmin_vmax.py b/examples/desktop/heatmap/heatmap_vmin_vmax.py
deleted file mode 100644
index 45c960fd8..000000000
--- a/examples/desktop/heatmap/heatmap_vmin_vmax.py
+++ /dev/null
@@ -1,37 +0,0 @@
-"""
-Heatmap change vmin vmax
-========================
-Change the vmin vmax of a heatmap
-"""
-
-# test_example = false
-# sphinx_gallery_pygfx_docs = 'hidden'
-
-import fastplotlib as fpl
-import numpy as np
-
-figure = fpl.Figure()
-
-xs = np.linspace(0, 1_000, 10_000, dtype=np.float32)
-
-sine = np.sin(np.sqrt(xs))
-
-data = np.vstack([sine * i for i in range(20_000)])
-
-# plot the image data
-img = figure[0, 0].add_image(data=data, name="heatmap")
-
-figure.show()
-
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
-
-img.vmin = -5_000
-img.vmax = 10_000
-
-# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
-# please see our docs for using fastplotlib interactively in ipython and jupyter
-if __name__ == "__main__":
-    print(__doc__)
-    fpl.run()
diff --git a/examples/desktop/heatmap/heatmap_wide.py b/examples/desktop/heatmap/heatmap_wide.py
deleted file mode 100644
index dccf531e2..000000000
--- a/examples/desktop/heatmap/heatmap_wide.py
+++ /dev/null
@@ -1,33 +0,0 @@
-"""
-Wide Heatmap
-============
-Wide example
-"""
-
-# test_example = false
-# sphinx_gallery_pygfx_docs = 'hidden'
-
-import fastplotlib as fpl
-import numpy as np
-
-
-figure = fpl.Figure()
-
-xs = np.linspace(0, 1_000, 20_000, dtype=np.float32)
-
-sine = np.sin(np.sqrt(xs))
-
-data = np.vstack([sine * i for i in range(10_000)])
-
-# plot the image data
-img = figure[0, 0].add_image(data=data, name="heatmap")
-
-figure.show()
-
-figure.canvas.set_logical_size(1500, 1500)
-
-figure[0, 0].auto_scale()
-
-if __name__ == "__main__":
-    print(__doc__)
-    fpl.run()
diff --git a/examples/desktop/image/image_widget.py b/examples/desktop/image/image_widget.py
deleted file mode 100644
index de1d27de1..000000000
--- a/examples/desktop/image/image_widget.py
+++ /dev/null
@@ -1,22 +0,0 @@
-"""
-Image widget
-============
-
-Example showing the image widget in action.
-When run in a notebook, or with the Qt GUI backend, sliders are also shown.
-"""
-
-# sphinx_gallery_pygfx_docs = 'hidden'
-
-import fastplotlib as fpl
-import imageio.v3 as iio  # not a fastplotlib dependency, only used for examples
-
-a = iio.imread("imageio:camera.png")
-iw = fpl.ImageWidget(data=a, cmap="viridis")
-iw.show()
-
-# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
-# please see our docs for using fastplotlib interactively in ipython and jupyter
-if __name__ == "__main__":
-    print(__doc__)
-    fpl.run()
diff --git a/examples/desktop/screenshots/gridplot.png b/examples/desktop/screenshots/gridplot.png
deleted file mode 100644
index 315958673..000000000
--- a/examples/desktop/screenshots/gridplot.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d43e6972bf76aa2de400616bde4275cd05d3a945475742ec7f63f7658628292b
-size 264437
diff --git a/examples/desktop/screenshots/gridplot_non_square.png b/examples/desktop/screenshots/gridplot_non_square.png
deleted file mode 100644
index 689585b40..000000000
--- a/examples/desktop/screenshots/gridplot_non_square.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:703285790dc96500a7a376f6e78953c943643f4ecf3102182072c2bd0bf8190c
-size 173753
diff --git a/examples/desktop/screenshots/heatmap.png b/examples/desktop/screenshots/heatmap.png
deleted file mode 100644
index 0514daf94..000000000
--- a/examples/desktop/screenshots/heatmap.png
+++ /dev/null
@@ -1,3 +0,0 @@
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-oid sha256:03b3ab1fc8aa602eb94beed1f5fa5712452ee802bb3230c4fd066d073bdd4ad2
-size 40100
diff --git a/examples/desktop/screenshots/image_cmap.png b/examples/desktop/screenshots/image_cmap.png
deleted file mode 100644
index 91124db6a..000000000
--- a/examples/desktop/screenshots/image_cmap.png
+++ /dev/null
@@ -1,3 +0,0 @@
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diff --git a/examples/desktop/screenshots/image_rgb.png b/examples/desktop/screenshots/image_rgb.png
deleted file mode 100644
index 8ae39eaad..000000000
--- a/examples/desktop/screenshots/image_rgb.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3851bea9ee908a460750b40a0a5709aff1b28afa6adf11c9ad2ed8239958caa4
-size 216343
diff --git a/examples/desktop/screenshots/image_rgbvminvmax.png b/examples/desktop/screenshots/image_rgbvminvmax.png
deleted file mode 100644
index 478ce40fe..000000000
--- a/examples/desktop/screenshots/image_rgbvminvmax.png
+++ /dev/null
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diff --git a/examples/desktop/screenshots/image_simple.png b/examples/desktop/screenshots/image_simple.png
deleted file mode 100644
index c60293498..000000000
--- a/examples/desktop/screenshots/image_simple.png
+++ /dev/null
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diff --git a/examples/desktop/screenshots/image_small.png b/examples/desktop/screenshots/image_small.png
deleted file mode 100644
index cda3a2584..000000000
--- a/examples/desktop/screenshots/image_small.png
+++ /dev/null
@@ -1,3 +0,0 @@
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diff --git a/examples/desktop/screenshots/image_vminvmax.png b/examples/desktop/screenshots/image_vminvmax.png
deleted file mode 100644
index 478ce40fe..000000000
--- a/examples/desktop/screenshots/image_vminvmax.png
+++ /dev/null
@@ -1,3 +0,0 @@
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diff --git a/examples/desktop/screenshots/line.png b/examples/desktop/screenshots/line.png
deleted file mode 100644
index 605540225..000000000
--- a/examples/desktop/screenshots/line.png
+++ /dev/null
@@ -1,3 +0,0 @@
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diff --git a/examples/desktop/screenshots/line_cmap.png b/examples/desktop/screenshots/line_cmap.png
deleted file mode 100644
index cab91220f..000000000
--- a/examples/desktop/screenshots/line_cmap.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1f154346cffbaa0957a9986d8b7beef417b66ef0cec7dbed3c20780d91425567
-size 29231
diff --git a/examples/desktop/screenshots/line_collection.png b/examples/desktop/screenshots/line_collection.png
deleted file mode 100644
index f3fb5052b..000000000
--- a/examples/desktop/screenshots/line_collection.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ca08ce57a1cf57c334add1c41351f3b823f06ad8da463017d0815cf7cfea03b3
-size 91085
diff --git a/examples/desktop/screenshots/line_collection_cmap_values.png b/examples/desktop/screenshots/line_collection_cmap_values.png
deleted file mode 100644
index 33af5b917..000000000
--- a/examples/desktop/screenshots/line_collection_cmap_values.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:12ddca084dc83478c6b3d263f11f456f8b81e7a8a291d6b9024dbcecbfb049c0
-size 57107
diff --git a/examples/desktop/screenshots/line_collection_cmap_values_qualitative.png b/examples/desktop/screenshots/line_collection_cmap_values_qualitative.png
deleted file mode 100644
index 57f45605b..000000000
--- a/examples/desktop/screenshots/line_collection_cmap_values_qualitative.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:74d5999cdd0b992f73bafb1bd74c318fd9cf058aed232068ab7dcb76d86df556
-size 60881
diff --git a/examples/desktop/screenshots/line_collection_colors.png b/examples/desktop/screenshots/line_collection_colors.png
deleted file mode 100644
index 9c27854ed..000000000
--- a/examples/desktop/screenshots/line_collection_colors.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a152331c51ed5440c5faf2a59439d90832521fbb1498d9635ddae088219ca353
-size 46941
diff --git a/examples/desktop/screenshots/line_collection_slicing.png b/examples/desktop/screenshots/line_collection_slicing.png
deleted file mode 100644
index 1145e84dc..000000000
--- a/examples/desktop/screenshots/line_collection_slicing.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:bdfdc2b2c5799e814ef5a1e32748a2a6d2dd88005f6fa0d9c456b8dadfada5db
-size 124609
diff --git a/examples/desktop/screenshots/line_colorslice.png b/examples/desktop/screenshots/line_colorslice.png
deleted file mode 100644
index 825ce8e3f..000000000
--- a/examples/desktop/screenshots/line_colorslice.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:de5a56c96a062ed0ec154ae21f3a3a67087e0c8aef6d8e4681c67a016424144a
-size 31971
diff --git a/examples/desktop/screenshots/line_dataslice.png b/examples/desktop/screenshots/line_dataslice.png
deleted file mode 100644
index 71c3d1918..000000000
--- a/examples/desktop/screenshots/line_dataslice.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e4dece6f721068a1ae37c6830110f97df64ea57c467ef4d7f42b73575d2ee476
-size 43995
diff --git a/examples/desktop/screenshots/scatter_cmap_iris.png b/examples/desktop/screenshots/scatter_cmap_iris.png
deleted file mode 100644
index 2a6ae7016..000000000
--- a/examples/desktop/screenshots/scatter_cmap_iris.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b781b387476028a5eaf2083c40d57306afbcbc2a6754dce6fb66cf71ddd689d1
-size 31719
diff --git a/examples/desktop/screenshots/scatter_colorslice_iris.png b/examples/desktop/screenshots/scatter_colorslice_iris.png
deleted file mode 100644
index 45c5d940c..000000000
--- a/examples/desktop/screenshots/scatter_colorslice_iris.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:68f93c08d361232c9be2220a68db8659c9c3c81c3cdb4e1a1ce9b366fb28b4f5
-size 13215
diff --git a/examples/desktop/screenshots/scatter_dataslice_iris.png b/examples/desktop/screenshots/scatter_dataslice_iris.png
deleted file mode 100644
index 1121d032c..000000000
--- a/examples/desktop/screenshots/scatter_dataslice_iris.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5d662e151062a136a17dac1f8693ba13f41daac05e91e32ee9c7053715f9ee17
-size 14437
diff --git a/examples/desktop/screenshots/scatter_iris.png b/examples/desktop/screenshots/scatter_iris.png
deleted file mode 100644
index 7d107d964..000000000
--- a/examples/desktop/screenshots/scatter_iris.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4fc88e52cc4ede6d1453746461da645f8b3df0a3099155caf639768a5ad4424c
-size 14148
diff --git a/examples/desktop/screenshots/scatter_size.png b/examples/desktop/screenshots/scatter_size.png
deleted file mode 100644
index 66b31cab9..000000000
--- a/examples/desktop/screenshots/scatter_size.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9d1eeb96dc1f52c4d48889a8b00387387cccb7b83d479c1c4b47789b281a1cd5
-size 34222
diff --git a/examples/desktop/gridplot/README.rst b/examples/gridplot/README.rst
similarity index 100%
rename from examples/desktop/gridplot/README.rst
rename to examples/gridplot/README.rst
diff --git a/examples/desktop/gridplot/gridplot.py b/examples/gridplot/gridplot.py
similarity index 84%
rename from examples/desktop/gridplot/gridplot.py
rename to examples/gridplot/gridplot.py
index 044adae80..5c38d6d43 100644
--- a/examples/desktop/gridplot/gridplot.py
+++ b/examples/gridplot/gridplot.py
@@ -11,7 +11,7 @@
 import fastplotlib as fpl
 import imageio.v3 as iio
 
-figure = fpl.Figure(shape=(2, 2))
+figure = fpl.Figure(shape=(2, 2), size=(700, 560))
 
 im = iio.imread("imageio:clock.png")
 im2 = iio.imread("imageio:astronaut.png")
@@ -25,13 +25,9 @@
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
-for subplot in figure:
-    subplot.auto_scale()
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/gridplot/gridplot_non_square.py b/examples/gridplot/gridplot_non_square.py
similarity index 81%
rename from examples/desktop/gridplot/gridplot_non_square.py
rename to examples/gridplot/gridplot_non_square.py
index c8a68cc85..0277bcccd 100644
--- a/examples/desktop/gridplot/gridplot_non_square.py
+++ b/examples/gridplot/gridplot_non_square.py
@@ -11,7 +11,7 @@
 import fastplotlib as fpl
 import imageio.v3 as iio
 
-figure = fpl.Figure(shape=(2, 2), controller_ids="sync")
+figure = fpl.Figure(shape=(2, 2), size=(700, 560))
 
 im = iio.imread("imageio:clock.png")
 im2 = iio.imread("imageio:astronaut.png")
@@ -23,13 +23,9 @@
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
-for subplot in figure:
-    subplot.auto_scale()
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/gridplot/multigraphic_gridplot.py b/examples/gridplot/multigraphic_gridplot.py
similarity index 95%
rename from examples/desktop/gridplot/multigraphic_gridplot.py
rename to examples/gridplot/multigraphic_gridplot.py
index edb0aaafd..1bed60b31 100644
--- a/examples/desktop/gridplot/multigraphic_gridplot.py
+++ b/examples/gridplot/multigraphic_gridplot.py
@@ -14,7 +14,11 @@
 from itertools import product
 
 # define figure
-figure = fpl.Figure(shape=(2, 2), names=[["image-overlay", "circles"], ["line-stack", "scatter"]])
+figure = fpl.Figure(
+    shape=(2, 2),
+    names=[["image-overlay", "circles"], ["line-stack", "scatter"]],
+    size=(700, 560)
+)
 
 img = iio.imread("imageio:coffee.png")
 
@@ -106,11 +110,9 @@ def make_circle(center, radius: float, n_points: int = 75) -> np.ndarray:
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
 
diff --git a/examples/guis/README.rst b/examples/guis/README.rst
new file mode 100644
index 000000000..0271f959d
--- /dev/null
+++ b/examples/guis/README.rst
@@ -0,0 +1,2 @@
+ImGUI for within canvas GUIs
+============================
diff --git a/examples/guis/image_widget_imgui.py b/examples/guis/image_widget_imgui.py
new file mode 100644
index 000000000..13d41af20
--- /dev/null
+++ b/examples/guis/image_widget_imgui.py
@@ -0,0 +1,82 @@
+"""
+ImGUI with ImageWidget
+======================
+
+Example showing how to write a custom GUI with imgui and use it with ImageWidget
+"""
+
+# test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+# some simple image processing functions
+from scipy.ndimage import gaussian_filter
+import imageio.v3 as iio
+
+import fastplotlib as fpl
+
+# subclass from EdgeWindow to make a custom ImGUI Window to place inside the figure!
+from fastplotlib.ui import EdgeWindow
+from imgui_bundle import imgui
+
+a = iio.imread("imageio:camera.png")
+iw = fpl.ImageWidget(data=a, cmap="viridis", figure_kwargs={"size": (700, 560)})
+iw.show()
+
+
+# GUI for some basic image processing
+class ImageProcessingWindow(EdgeWindow):
+    def __init__(self, figure, size, location, title):
+        super().__init__(figure=figure, size=size, location=location, title=title)
+
+        self.sigma = 0.0
+        self.order_x, self.order_y = 0, 0
+
+    def update(self):
+        # implement the GUI within the update function
+        # you do not need to call imgui.new_frame(), this is handled by Figure
+
+        # window creation is handled by the base EdgeWindow.draw_window()
+        # if you want to customize the imgui window, you can override EdgeWindow.draw_window()
+
+        something_changed = False
+
+        # slider for gaussian filter sigma value
+        changed, value = imgui.slider_float(label="sigma", v=self.sigma, v_min=0.0, v_max=20.0)
+        if changed:
+            self.sigma = value
+            something_changed = True
+
+        # int entries for gaussian filter order
+        for axis in ["x", "y"]:
+            changed, value = imgui.input_int(f"order {axis}", v=getattr(self, f"order_{axis}"))
+            if changed:
+                if value < 0:
+                    value = 0
+                setattr(self, f"order_{axis}", value)
+                something_changed = True
+
+        if something_changed:
+            self.process_image()
+
+        # imgui.end() is handled by EdgeWindow.draw_window()
+
+        # do not call imgui.end_frame(), this is handled by Figure
+
+    def process_image(self):
+        processed = gaussian_filter(a, sigma=self.sigma, order=(self.order_y, self.order_x))
+        iw.set_data(processed)
+
+
+gui = ImageProcessingWindow(iw.figure, size=200, location="right", title="Gaussian Filter")
+
+
+iw.figure.add_gui(gui)
+
+figure = iw.figure
+
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/guis/imgui_basic.py b/examples/guis/imgui_basic.py
new file mode 100644
index 000000000..eac39121c
--- /dev/null
+++ b/examples/guis/imgui_basic.py
@@ -0,0 +1,123 @@
+"""
+ImGUI Basics
+============
+
+Basic examples demonstrating how to use imgui in fastplotlib.
+
+See the imgui docs for extensive examples on how to create all UI elements: https://pyimgui.readthedocs.io/en/latest/reference/imgui.core.html#imgui.core.begin_combo
+"""
+
+# test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+import numpy as np
+import fastplotlib as fpl
+
+# subclass from EdgeWindow to make a custom ImGUI Window to place inside the figure!
+from fastplotlib.ui import EdgeWindow
+from imgui_bundle import imgui
+
+# make some initial data
+np.random.seed(0)
+
+xs = np.linspace(0, np.pi * 10, 100)
+ys = np.sin(xs) + np.random.normal(scale=0.0, size=100)
+data = np.column_stack([xs, ys])
+
+
+# make a figure
+figure = fpl.Figure(size=(700, 560))
+
+# make some scatter points at every 10th point
+figure[0, 0].add_scatter(data[::10], colors="cyan", sizes=15, name="sine-scatter", uniform_color=True)
+
+# place a line above the scatter
+figure[0, 0].add_line(data, thickness=3, colors="r", name="sine-wave", uniform_color=True)
+
+
+class ImguiExample(EdgeWindow):
+    def __init__(self, figure, size, location, title):
+        super().__init__(figure=figure, size=size, location=location, title=title)
+        # this UI will modify the line
+        self._line = self._figure[0, 0]["sine-wave"]
+
+        # set the default values
+        # wave amplitude
+        self._amplitude = 1
+
+        # sigma for gaussian noise
+        self._sigma = 0.0
+
+    def update(self):
+        # the UI will be used to modify the line
+        self._line = figure[0, 0]["sine-wave"]
+
+        # get the current line RGB values
+        rgb_color = self._line.colors[:-1]
+        # make color picker
+        changed_color, rgb = imgui.color_picker3("color", col=rgb_color)
+
+        # get current line color alpha value
+        alpha = self._line.colors[-1]
+        # make float slider
+        changed_alpha, new_alpha = imgui.slider_float("alpha", v=alpha, v_min=0.0, v_max=1.0)
+
+        # if RGB or alpha changed
+        if changed_color | changed_alpha:
+            # set new color along with alpha
+            self._line.colors = [*rgb, new_alpha]
+
+        # example of a slider, you can also use input_float
+        changed, amplitude = imgui.slider_float("amplitude", v=self._amplitude, v_max=10, v_min=0.1)
+        if changed:
+            # set y values
+            self._amplitude = amplitude
+            self._set_data()
+
+        # slider for thickness
+        changed, thickness = imgui.slider_float("thickness", v=self._line.thickness, v_max=50.0, v_min=2.0)
+        if changed:
+            self._line.thickness = thickness
+
+        # slider for gaussian noise
+        changed, sigma = imgui.slider_float("noise-sigma", v=self._sigma, v_max=1.0, v_min=0.0)
+        if changed:
+            self._sigma = sigma
+            self._set_data()
+
+        # reset button
+        if imgui.button("reset"):
+            # reset line properties
+            self._line.colors = (1, 0, 0, 1)
+            self._line.thickness = 3
+
+            # reset the data params
+            self._amplitude = 1.0
+            self._sigma = 0.0
+
+            # reset the data values for the line
+            self._set_data()
+
+    def _set_data(self):
+        self._line.data[:, 1] = (np.sin(xs) * self._amplitude) + np.random.normal(scale=self._sigma, size=100)
+
+
+# make GUI instance
+gui = ImguiExample(
+    figure,  # the figure this GUI instance should live inside
+    size=275,  # width or height of the GUI window within the figure
+    location="right",  # the edge to place this window at
+    title="Imgui Window",  # window title
+)
+
+# add it to the figure
+figure.add_gui(gui)
+
+figure.show()
+
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/desktop/heatmap/README.rst b/examples/heatmap/README.rst
similarity index 100%
rename from examples/desktop/heatmap/README.rst
rename to examples/heatmap/README.rst
diff --git a/examples/desktop/heatmap/heatmap.py b/examples/heatmap/heatmap.py
similarity index 53%
rename from examples/desktop/heatmap/heatmap.py
rename to examples/heatmap/heatmap.py
index 08b284749..39d76ae4e 100644
--- a/examples/desktop/heatmap/heatmap.py
+++ b/examples/heatmap/heatmap.py
@@ -1,7 +1,8 @@
 """
-Simple Heatmap
-==============
-Example showing how to plot a heatmap
+Heatmap or large arrays
+=======================
+Example showing how ImageGraphics can be useful for viewing large arrays, these can be in the order of 10^4 x 10^4.
+The performance and limitations will depend on your hardware.
 """
 
 # test_example = true
@@ -10,25 +11,23 @@
 import fastplotlib as fpl
 import numpy as np
 
-figure = fpl.Figure()
 
-xs = np.linspace(0, 1_000, 10_000, dtype=np.float32)
+figure = fpl.Figure(size=(700, 560))
+
+xs = np.linspace(0, 2300, 2300, dtype=np.float16)
 
 sine = np.sin(np.sqrt(xs))
 
-data = np.vstack([sine * i for i in range(20_000)])
+data = np.vstack([sine * i for i in range(2_300)])
 
 # plot the image data
 img = figure[0, 0].add_image(data=data, name="heatmap")
+del data
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
-
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/image/README.rst b/examples/image/README.rst
similarity index 100%
rename from examples/desktop/image/README.rst
rename to examples/image/README.rst
diff --git a/examples/desktop/image/image_cmap.py b/examples/image/image_cmap.py
similarity index 85%
rename from examples/desktop/image/image_cmap.py
rename to examples/image/image_cmap.py
index c70af7346..99a3c1969 100644
--- a/examples/desktop/image/image_cmap.py
+++ b/examples/image/image_cmap.py
@@ -13,21 +13,17 @@
 
 im = iio.imread("imageio:camera.png")
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 # plot the image data
 image_graphic = figure[0, 0].add_image(data=im, name="random-image")
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
-
 image_graphic.cmap = "viridis"
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/image/image_rgb.py b/examples/image/image_rgb.py
similarity index 84%
rename from examples/desktop/image/image_rgb.py
rename to examples/image/image_rgb.py
index 951142fd7..5af8cee0d 100644
--- a/examples/desktop/image/image_rgb.py
+++ b/examples/image/image_rgb.py
@@ -13,19 +13,16 @@
 
 im = iio.imread("imageio:astronaut.png")
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 # plot the image data
 image_graphic = figure[0, 0].add_image(data=im, name="iio astronaut")
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/image/image_rgbvminvmax.py b/examples/image/image_rgbvminvmax.py
similarity index 86%
rename from examples/desktop/image/image_rgbvminvmax.py
rename to examples/image/image_rgbvminvmax.py
index 25d3904e8..08c01a36e 100644
--- a/examples/desktop/image/image_rgbvminvmax.py
+++ b/examples/image/image_rgbvminvmax.py
@@ -13,17 +13,13 @@
 
 im = iio.imread("imageio:astronaut.png")
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 # plot the image data
 image_graphic = figure[0, 0].add_image(data=im, name="iio astronaut")
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
-
 image_graphic.vmin = 0.5
 image_graphic.vmax = 0.75
 
@@ -31,4 +27,4 @@
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/image/image_simple.py b/examples/image/image_simple.py
similarity index 84%
rename from examples/desktop/image/image_simple.py
rename to examples/image/image_simple.py
index dab5188a1..31803f2f8 100644
--- a/examples/desktop/image/image_simple.py
+++ b/examples/image/image_simple.py
@@ -11,7 +11,7 @@
 import fastplotlib as fpl
 import imageio.v3 as iio
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 data = iio.imread("imageio:camera.png")
 
@@ -20,12 +20,9 @@
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/image/image_small.py b/examples/image/image_small.py
similarity index 82%
rename from examples/desktop/image/image_small.py
rename to examples/image/image_small.py
index 95c263a28..eebc49797 100644
--- a/examples/desktop/image/image_small.py
+++ b/examples/image/image_small.py
@@ -12,7 +12,7 @@
 
 import fastplotlib as fpl
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 data = np.array(
     [[0, 1, 2],
@@ -22,12 +22,9 @@
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/image/image_vminvmax.py b/examples/image/image_vminvmax.py
similarity index 86%
rename from examples/desktop/image/image_vminvmax.py
rename to examples/image/image_vminvmax.py
index d9e49b18e..6cf13834d 100644
--- a/examples/desktop/image/image_vminvmax.py
+++ b/examples/image/image_vminvmax.py
@@ -11,7 +11,7 @@
 import fastplotlib as fpl
 import imageio.v3 as iio
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 data = iio.imread("imageio:astronaut.png")
 
@@ -20,10 +20,6 @@
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
-
 image_graphic.vmin = 0.5
 image_graphic.vmax = 0.75
 
@@ -31,4 +27,4 @@
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/image_widget/README.rst b/examples/image_widget/README.rst
new file mode 100644
index 000000000..f445f7390
--- /dev/null
+++ b/examples/image_widget/README.rst
@@ -0,0 +1,2 @@
+ImageWidget Examples
+====================
diff --git a/examples/image_widget/image_widget.py b/examples/image_widget/image_widget.py
new file mode 100644
index 000000000..4fe47b7fe
--- /dev/null
+++ b/examples/image_widget/image_widget.py
@@ -0,0 +1,34 @@
+"""
+Image widget
+============
+
+Example showing the image widget in action.
+
+Every image in an `ImageWidget` is associated with an interactive Histogram LUT tool and colorbar. Right-click the
+colorbar to pick colormaps.
+"""
+
+# test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+import fastplotlib as fpl
+import imageio.v3 as iio  # not a fastplotlib dependency, only used for examples
+
+a = iio.imread("imageio:camera.png")
+iw = fpl.ImageWidget(data=a, cmap="viridis", figure_kwargs={"size": (700, 560)})
+iw.show()
+
+# Access ImageGraphics managed by the image widget
+iw.figure[0, 0]["image_widget_managed"].data[:50, :50] = 0
+iw.figure[0, 0]["image_widget_managed"].cmap = "gnuplot2"
+
+# another way to access the image widget managed ImageGraphics
+iw.managed_graphics[0].data[450:, 450:] = 255
+
+figure = iw.figure
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/image_widget/image_widget_grid.py b/examples/image_widget/image_widget_grid.py
new file mode 100644
index 000000000..f52f38bc5
--- /dev/null
+++ b/examples/image_widget/image_widget_grid.py
@@ -0,0 +1,41 @@
+"""
+Image widget grid
+=================
+
+Example showing how to view multiple images in an ImageWidget
+"""
+
+import fastplotlib as fpl
+import imageio.v3 as iio
+
+# test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+img1 = iio.imread("imageio:camera.png")
+img2 = iio.imread("imageio:astronaut.png")
+img3 = iio.imread("imageio:chelsea.png")
+img4 = iio.imread("imageio:wikkie.png")
+
+iw = fpl.ImageWidget(
+    data=[img1, img2, img3, img4],
+    rgb=[False, True, True, True], # mix of grayscale and RGB images
+    names=["cameraman", "astronaut", "chelsea", "Almar's cat"],
+    # ImageWidget will sync controllers by default
+    # by setting `controller_ids=None` we can have independent controllers for each subplot
+    # this is useful when the images have different dimensions
+    figure_kwargs={"size": (700, 560), "controller_ids": None},
+)
+iw.show()
+
+figure = iw.figure
+
+for subplot in figure:
+    # sometimes the toolbar adds clutter
+    subplot.toolbar = False
+
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/image_widget/image_widget_single_video.py b/examples/image_widget/image_widget_single_video.py
new file mode 100644
index 000000000..3a0e94fca
--- /dev/null
+++ b/examples/image_widget/image_widget_single_video.py
@@ -0,0 +1,47 @@
+"""
+Image widget Video
+==================
+
+Example showing how to scroll through one or more videos using the ImageWidget
+"""
+
+# test_example = true
+# sphinx_gallery_pygfx_docs = 'animate 6s 20fps'
+
+import fastplotlib as fpl
+import imageio.v3 as iio
+import numpy as np
+
+
+movie = iio.imread("imageio:cockatoo.mp4")
+
+# Ignore and do not use the next 2 lines
+# for the purposes of docs gallery generation we subsample and only use 15 frames
+movie_sub = movie[:15, ::12, ::12].copy()
+del movie
+
+iw = fpl.ImageWidget(movie_sub, rgb=[True], figure_kwargs={"size": (700, 560)})
+
+# ImageWidget supports setting window functions the `time` "t" or `volume` "z" dimension
+# These can also be given as kwargs to `ImageWidget` during instantiation
+# to set a window function, give a dict in the form of {dim: (func, window_size)}
+iw.window_funcs = {"t": (np.mean, 13)}
+
+# change the window size
+iw.window_funcs["t"].window_size = 33
+
+# change the function
+iw.window_funcs["t"].func = np.max
+
+# or reset it
+iw.window_funcs = None
+
+iw.show()
+
+figure = iw.figure
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/image_widget/image_widget_videos.py b/examples/image_widget/image_widget_videos.py
new file mode 100644
index 000000000..1e367f0ad
--- /dev/null
+++ b/examples/image_widget/image_widget_videos.py
@@ -0,0 +1,43 @@
+"""
+Image widget videos side by side
+================================
+
+Example showing how to scroll through one or more videos using the ImageWidget
+"""
+
+# test_example = true
+# sphinx_gallery_pygfx_docs = 'animate 6s 20fps'
+
+import fastplotlib as fpl
+import imageio.v3 as iio
+import numpy as np
+
+
+# load the standard cockatoo video
+cockatoo = iio.imread("imageio:cockatoo.mp4")
+
+# Ignore and do not use the next 2 lines
+# for the purposes of docs gallery generation we subsample and only use 15 frames
+cockatoo_sub = cockatoo[:15, ::12, ::12].copy()
+del cockatoo
+
+# make a random grayscale video, shape is [t, rows, cols]
+np.random.seed(0)
+random_data = np.random.rand(*cockatoo_sub.shape[:-1])
+
+iw = fpl.ImageWidget(
+    [random_data, cockatoo_sub],
+    rgb=[False, True],
+    figure_shape=(2, 1),  # 2 rows, 1 column
+    figure_kwargs={"size": (700, 560)}
+)
+
+iw.show()
+
+figure = iw.figure
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/desktop/line/README.rst b/examples/line/README.rst
similarity index 100%
rename from examples/desktop/line/README.rst
rename to examples/line/README.rst
diff --git a/examples/desktop/line/line.py b/examples/line/line.py
similarity index 90%
rename from examples/desktop/line/line.py
rename to examples/line/line.py
index cd661da1e..c460c84ac 100644
--- a/examples/desktop/line/line.py
+++ b/examples/line/line.py
@@ -11,7 +11,7 @@
 import fastplotlib as fpl
 import numpy as np
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 xs = np.linspace(-10, 10, 100)
 # sine wave
@@ -36,14 +36,12 @@
 colors = ["r"] * 25 + ["purple"] * 25 + ["y"] * 25 + ["b"] * 25
 sinc_graphic = figure[0, 0].add_line(data=sinc, thickness=5, colors=colors)
 
+figure[0, 0].axes.grids.xy.visible = True
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/line/line_cmap.py b/examples/line/line_cmap.py
similarity index 89%
rename from examples/desktop/line/line_cmap.py
rename to examples/line/line_cmap.py
index 5ffea6fef..b2fb39779 100644
--- a/examples/desktop/line/line_cmap.py
+++ b/examples/line/line_cmap.py
@@ -2,7 +2,7 @@
 Line Plot Colormap
 ==================
 
-Example showing cosine, sine, sinc lines.
+Example showing basic colormapping with lines
 """
 
 # test_example = true
@@ -11,7 +11,7 @@
 import fastplotlib as fpl
 import numpy as np
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 xs = np.linspace(-10, 10, 100)
 # sine wave
@@ -41,10 +41,9 @@
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/line/line_cmap_more.py b/examples/line/line_cmap_more.py
new file mode 100644
index 000000000..37fd68cdb
--- /dev/null
+++ b/examples/line/line_cmap_more.py
@@ -0,0 +1,56 @@
+"""
+Lines more colormapping
+=======================
+
+Example showing more on colormapping with lines
+"""
+
+# test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+import numpy as np
+import fastplotlib as fpl
+
+xs = np.linspace(0, 10 * np.pi, 100)
+# sine wave
+ys = np.sin(xs)
+sine = np.column_stack([xs, ys])
+
+# cosine wave
+ys = np.cos(xs)
+cosine = np.column_stack([xs, ys])
+
+figure = fpl.Figure(size=(700, 560))
+
+# basic white line
+line0 = figure[0, 0].add_line(sine, thickness=10)
+
+# set colormap along line datapoints, use an offset to place it above the previous line
+line1 = figure[0, 0].add_line(sine, thickness=10, cmap="jet", offset=(0, 2, 0))
+
+# set colormap by mapping data using a transform
+# here we map the color using the y-values of the sine data
+# i.e., the color is a function of sine(x)
+line2 = figure[0, 0].add_line(sine, thickness=10, cmap="jet", cmap_transform=sine[:, 1], offset=(0, 4, 0))
+
+# make a line and change the cmap afterward, here we are using the cosine instead fot the transform
+line3 = figure[0, 0].add_line(sine, thickness=10, cmap="jet", cmap_transform=cosine[:, 1], offset=(0, 6, 0))
+# change the cmap
+line3.cmap = "bwr"
+
+# use quantitative colormaps with categorical cmap_transforms
+labels = [0] * 25 + [1] * 5 + [2] * 50 + [3] * 20
+line4 = figure[0, 0].add_line(sine, thickness=10, cmap="tab10", cmap_transform=labels, offset=(0, 8, 0))
+
+# some text labels
+for i in range(5):
+    figure[0, 0].add_text(f"line{i}", font_size=20, offset=(1, (i * 2) + 1.5, 0))
+
+figure.show(maintain_aspect=False)
+
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/desktop/line/line_colorslice.py b/examples/line/line_colorslice.py
similarity index 95%
rename from examples/desktop/line/line_colorslice.py
rename to examples/line/line_colorslice.py
index 3d18d74b7..788aa342d 100644
--- a/examples/desktop/line/line_colorslice.py
+++ b/examples/line/line_colorslice.py
@@ -11,7 +11,7 @@
 import fastplotlib as fpl
 import numpy as np
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 xs = np.linspace(-10, 10, 100)
 # sine wave
@@ -82,12 +82,9 @@
 zeros_graphic.cmap[50:75] = "jet"
 zeros_graphic.cmap[75:] = "viridis"
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/line/line_dataslice.py b/examples/line/line_dataslice.py
similarity index 92%
rename from examples/desktop/line/line_dataslice.py
rename to examples/line/line_dataslice.py
index eac765c68..92f33a109 100644
--- a/examples/desktop/line/line_dataslice.py
+++ b/examples/line/line_dataslice.py
@@ -11,7 +11,7 @@
 import fastplotlib as fpl
 import numpy as np
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 xs = np.linspace(-10, 10, 100)
 # sine wave
@@ -46,12 +46,9 @@
 bool_key = [True, True, True, False, False] * 20
 sinc_graphic.data[bool_key, 1] = 7  # y vals to 1
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/line_collection/README.rst b/examples/line_collection/README.rst
similarity index 100%
rename from examples/desktop/line_collection/README.rst
rename to examples/line_collection/README.rst
diff --git a/examples/desktop/line_collection/line_collection.py b/examples/line_collection/line_collection.py
similarity index 90%
rename from examples/desktop/line_collection/line_collection.py
rename to examples/line_collection/line_collection.py
index 44b765319..75b56e61e 100644
--- a/examples/desktop/line_collection/line_collection.py
+++ b/examples/line_collection/line_collection.py
@@ -29,16 +29,18 @@ def make_circle(center, radius: float, n_points: int = 75) -> np.ndarray:
 
 pos_xy = np.vstack(circles)
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 figure[0, 0].add_line_collection(circles, cmap="jet", thickness=5)
 
+# remove clutter
+figure[0, 0].axes.visible = False
+
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/line_collection/line_collection_cmap_values.py b/examples/line_collection/line_collection_cmap_values.py
similarity index 92%
rename from examples/desktop/line_collection/line_collection_cmap_values.py
rename to examples/line_collection/line_collection_cmap_values.py
index e94a161ad..c577609f9 100644
--- a/examples/desktop/line_collection/line_collection_cmap_values.py
+++ b/examples/line_collection/line_collection_cmap_values.py
@@ -34,18 +34,20 @@ def make_circle(center, radius: float, n_points: int = 75) -> np.ndarray:
 # highest values, lowest values, mid-high values, mid values
 cmap_values = [10] * 4 + [0] * 4 + [7] * 4 + [5] * 4
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 figure[0, 0].add_line_collection(
     circles, cmap="bwr", cmap_transform=cmap_values, thickness=10
 )
 
+# remove clutter
+figure[0, 0].axes.visible = False
+
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/line_collection/line_collection_cmap_values_qualitative.py b/examples/line_collection/line_collection_cmap_values_qualitative.py
similarity index 93%
rename from examples/desktop/line_collection/line_collection_cmap_values_qualitative.py
rename to examples/line_collection/line_collection_cmap_values_qualitative.py
index 5f9ea0000..7b1c0a419 100644
--- a/examples/desktop/line_collection/line_collection_cmap_values_qualitative.py
+++ b/examples/line_collection/line_collection_cmap_values_qualitative.py
@@ -12,6 +12,7 @@
 import numpy as np
 import fastplotlib as fpl
 
+
 def make_circle(center, radius: float, n_points: int = 75) -> np.ndarray:
     theta = np.linspace(0, 2 * np.pi, n_points)
     xs = radius * np.sin(theta)
@@ -40,7 +41,7 @@ def make_circle(center, radius: float, n_points: int = 75) -> np.ndarray:
     1, 1, 1, 5
 ]
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 figure[0, 0].add_line_collection(
     circles,
@@ -49,12 +50,14 @@ def make_circle(center, radius: float, n_points: int = 75) -> np.ndarray:
     thickness=10
 )
 
+# remove clutter
+figure[0, 0].axes.visible = False
+
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/line_collection/line_collection_colors.py b/examples/line_collection/line_collection_colors.py
similarity index 91%
rename from examples/desktop/line_collection/line_collection_colors.py
rename to examples/line_collection/line_collection_colors.py
index bf3e818cd..1d9eff45d 100644
--- a/examples/desktop/line_collection/line_collection_colors.py
+++ b/examples/line_collection/line_collection_colors.py
@@ -33,16 +33,18 @@ def make_circle(center, radius: float, n_points: int = 75) -> np.ndarray:
 # this will produce 16 circles so we will define 16 colors
 colors = ["blue"] * 4 + ["red"] * 4 + ["yellow"] * 4 + ["w"] * 4
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 figure[0, 0].add_line_collection(circles, colors=colors, thickness=10)
 
+# remove clutter
+figure[0, 0].axes.visible = False
+
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/line_collection/line_collection_slicing.py b/examples/line_collection/line_collection_slicing.py
similarity index 83%
rename from examples/desktop/line_collection/line_collection_slicing.py
rename to examples/line_collection/line_collection_slicing.py
index a7525f7ba..f829a53c6 100644
--- a/examples/desktop/line_collection/line_collection_slicing.py
+++ b/examples/line_collection/line_collection_slicing.py
@@ -20,12 +20,12 @@
 multi_data = np.stack([data] * 15)
 
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 lines = figure[0, 0].add_line_stack(
     multi_data,
     thickness=[2, 10, 2, 5, 5, 5, 8, 8, 8, 9, 3, 3, 3, 4, 4],
-    separation=1,
+    separation=4,
     metadatas=list(range(15)),  # some metadata
     names=list("abcdefghijklmno"),  # unique name for each line
 )
@@ -63,8 +63,16 @@
 
 figure.show(maintain_aspect=False)
 
-figure.canvas.set_logical_size(700, 580)
+# individual y axis for each line
+for line in lines:
+    line.add_axes()
+    line.axes.x.visible = False
+    line.axes.update_using_bbox(line.world_object.get_world_bounding_box())
+
+# no y axis in subplot
+figure[0, 0].axes.y.visible = False
+
 
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/line_collection/line_stack.py b/examples/line_collection/line_stack.py
similarity index 91%
rename from examples/desktop/line_collection/line_stack.py
rename to examples/line_collection/line_stack.py
index e7f7125e1..95b681b76 100644
--- a/examples/desktop/line_collection/line_stack.py
+++ b/examples/line_collection/line_stack.py
@@ -19,7 +19,7 @@
 data = np.column_stack([xs, ys])
 multi_data = np.stack([data] * 10)
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 line_stack = figure[0, 0].add_line_stack(
     multi_data,  # shape: (10, 100, 2), i.e. [n_lines, n_points, xy]
@@ -30,10 +30,9 @@
 
 figure.show(maintain_aspect=False)
 
-figure.canvas.set_logical_size(700, 560)
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/line_collection/line_stack_3d.py b/examples/line_collection/line_stack_3d.py
similarity index 93%
rename from examples/desktop/line_collection/line_stack_3d.py
rename to examples/line_collection/line_stack_3d.py
index 314a97ff2..35fe48ca9 100644
--- a/examples/desktop/line_collection/line_stack_3d.py
+++ b/examples/line_collection/line_stack_3d.py
@@ -21,7 +21,10 @@
 multi_data = np.stack([data] * 10)
 
 # create figure to plot lines and use an orbit controller in 3D
-figure = fpl.Figure(cameras="3d", controller_types="orbit")
+figure = fpl.Figure(cameras="3d", controller_types="orbit", size=(700, 560))
+
+# make grid invisible to remove clutter
+figure[0, 0].axes.grids.visible = False
 
 line_stack = figure[0, 0].add_line_stack(
     multi_data,  # shape: (10, 100, 2), i.e. [n_lines, n_points, xy]
@@ -88,7 +91,7 @@ def animate_colors(subplot):
     "fov": 50.0,
     "width": 32,
     "height": 20,
-    "zoom": 1,
+    "zoom": 0.7,
     "maintain_aspect": True,
     "depth_range": None,
 }
@@ -97,10 +100,9 @@ def animate_colors(subplot):
 
 figure[0, 0].camera.set_state(camera_state)
 
-figure.canvas.set_logical_size(700, 560)
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/machine_learning/README.rst b/examples/machine_learning/README.rst
new file mode 100644
index 000000000..f6830887e
--- /dev/null
+++ b/examples/machine_learning/README.rst
@@ -0,0 +1,2 @@
+Machine Learning Examples
+=========================
diff --git a/examples/machine_learning/covariance.py b/examples/machine_learning/covariance.py
new file mode 100644
index 000000000..84c5bf531
--- /dev/null
+++ b/examples/machine_learning/covariance.py
@@ -0,0 +1,94 @@
+"""
+Explore Covariance Matrix
+=========================
+
+Example showing how you can explore a covariance matrix with a selector tool.
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'animate 10s'
+
+
+import fastplotlib as fpl
+from sklearn import datasets
+from sklearn.preprocessing import StandardScaler
+
+# load faces dataset
+faces = datasets.fetch_olivetti_faces()
+data = faces["data"]
+
+# sort the data so it's easier to understand the covariance matrix
+targets = faces["target"]
+sort_indices = targets.argsort()
+targets_sorted = targets[sort_indices]
+
+X = data[sort_indices]
+
+# scale the data w.r.t. mean and standard deviation
+X = StandardScaler().fit_transform(X)
+
+# compute covariance matrix
+X = X.T
+cov = X @ X.T / X.shape[1]
+
+# reshaped image for each sample wil be 64 x 64 pixels
+img = cov[0].reshape(64, 64)
+
+# figure kwargs for image widget
+# controller_ids = [[0, 1]] so we get independent controllers for each supblot
+# the covariance matrix is 4096 x 4096 and the reshaped image ix 64 x 64
+figure_kwargs = {"size": (700, 400), "controller_ids": [[0, 1]]}
+
+# create image widget
+iw = fpl.ImageWidget(
+    data=[cov, img],  # display the covariance matrix and reshaped image of a row
+    cmap="bwr",  # diverging colormap
+    names=["covariance", "row image"],
+    figure_kwargs=figure_kwargs,
+)
+
+# graphic that corresponds to image widget data array 0
+# 0 is the covariance matrix, 1 is the reshaped image of a row from the covariance matrix
+
+# add a linear selector to select y axis values so we can select rows of the cov matrix
+selector_cov = iw.managed_graphics[0].add_linear_selector(axis="y")
+
+# if you are exploring other types of matrices which are not-symmetric
+# you can also add a column selector by setting axis="x"
+
+# set vmin vmax
+for g in iw.managed_graphics:
+    g.vmin, g.vmax = -1, 1
+
+
+# event handler when the covariance matrix row changes
+@selector_cov.add_event_handler("selection")
+def update_img(ev):
+    # get the row index
+    ix = ev.get_selected_index()
+
+    # get the image the corresponds to this row
+    img = cov[ix].reshape(64, 64)
+
+    # change the reshaped image graphic data
+    iw.managed_graphics[1].data = img
+
+
+figure = iw.figure  # not required, just for the docs gallery to pick it up
+
+
+# move the selector programmatically, this is mainly for the docs gallery
+# for real use you can interact with the selector with your mouse
+def animate():
+    selector_cov.selection += 1
+
+
+iw.figure.add_animations(animate)
+
+iw.show()
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/misc/garbage_collection.py b/examples/misc-dev/garbage_collection.py
similarity index 100%
rename from examples/misc/garbage_collection.py
rename to examples/misc-dev/garbage_collection.py
diff --git a/examples/misc/selector_performance.ipynb b/examples/misc-dev/selector_performance.ipynb
similarity index 100%
rename from examples/misc/selector_performance.ipynb
rename to examples/misc-dev/selector_performance.ipynb
diff --git a/examples/desktop/misc/README.rst b/examples/misc/README.rst
similarity index 100%
rename from examples/desktop/misc/README.rst
rename to examples/misc/README.rst
diff --git a/examples/desktop/misc/cycle_animation.py b/examples/misc/cycle_animation.py
similarity index 94%
rename from examples/desktop/misc/cycle_animation.py
rename to examples/misc/cycle_animation.py
index bb402a1f7..e369b957c 100644
--- a/examples/desktop/misc/cycle_animation.py
+++ b/examples/misc/cycle_animation.py
@@ -34,7 +34,7 @@
 colors = ["yellow"] * n_points + ["cyan"] * n_points + ["magenta"] * n_points
 
 # create plot
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 subplot_scatter = figure[0, 0]
 # use an alpha value since this will be a lot of points
 scatter_graphic = subplot_scatter.add_scatter(data=cloud, sizes=3, colors=colors, alpha=0.6)
@@ -53,10 +53,9 @@ def cycle_colors(subplot):
 
 figure.show()
 
-subplot_scatter.canvas.set_logical_size(700, 560)
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
\ No newline at end of file
+    fpl.loop.run()
diff --git a/examples/desktop/misc/em_wave_animation.py b/examples/misc/em_wave_animation.py
similarity index 81%
rename from examples/desktop/misc/em_wave_animation.py
rename to examples/misc/em_wave_animation.py
index 50ab27ed6..06c60ccaf 100644
--- a/examples/desktop/misc/em_wave_animation.py
+++ b/examples/misc/em_wave_animation.py
@@ -6,7 +6,7 @@
 """
 
 # test_example = false
-# sphinx_gallery_pygfx_docs = 'animate'
+# sphinx_gallery_pygfx_docs = 'animate 8s'
 
 import fastplotlib as fpl
 import numpy as np
@@ -14,7 +14,7 @@
 figure = fpl.Figure(
     cameras="3d",
     controller_types="orbit",
-    size=(700, 400)
+    size=(700, 560)
 )
 
 start, stop = 0, 4 * np.pi
@@ -47,10 +47,6 @@
 # it is the z-offset for where to place the *graphic*, by default with Orthographic cameras (i.e. 2D views)
 # it will increment by 1 for each line in the collection, we want to disable this so set z_position=0
 
-# axes are a WIP, just draw a white line along z for now
-z_axis = np.array([[0, 0, 0], [0, 0, stop]])
-figure[0, 0].add_line(z_axis, colors="w", thickness=1)
-
 # just a pre-saved camera state
 state = {
     'position': np.array([-8.0 ,  6.0, -2.0]),
@@ -68,13 +64,15 @@
 
 figure[0, 0].camera.set_state(state)
 
+# make all grids except xz plane invisible to remove clutter
+figure[0, 0].axes.grids.xz.visible = True
+
 figure.show()
 
 figure[0, 0].camera.zoom = 1.5
 
 increment = np.pi * 4 / 100
 
-figure.canvas.set_logical_size(700, 560)
 
 # moves the wave one step along the z-axis
 def tick(subplot):
@@ -84,22 +82,34 @@ def tick(subplot):
 
     # just change the x-axis vals for the electric field
     subplot["e"].data[:, 0] = new_data
+    subplot["e"].data[:, 2] = new_zs
     # and y-axis vals for magnetic field
     subplot["m"].data[:, 1] = new_data
+    subplot["m"].data[:, 2] = new_zs
 
     # update the vector lines
-    for i, (value, z) in enumerate(zip(new_data[::10], zs[::10])):
+    for i, (value, z) in enumerate(zip(new_data[::10], new_zs[::10])):
         subplot["e-vec"].graphics[i].data = np.array([[0, 0, z], [value, 0, z]])
         subplot["m-vec"].graphics[i].data = np.array([[0, 0, z], [0, value, z]])
 
+    # update axes and center scene
+    subplot.axes.z.start_value = start
+    subplot.axes.z.update(subplot.camera, subplot.viewport.logical_size)
+    subplot.center_scene()
+
     start += increment
     stop += increment
 
 
+figure[0, 0].axes.x.visible = False
+figure[0, 0].axes.y.visible = False
+figure[0, 0].axes.auto_grid = False
+
 figure[0, 0].add_animations(tick)
+print(figure[0, 0]._fpl_graphics_scene.children)
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
\ No newline at end of file
+    fpl.loop.run()
diff --git a/examples/desktop/misc/image_animation.py b/examples/misc/image_animation.py
similarity index 91%
rename from examples/desktop/misc/image_animation.py
rename to examples/misc/image_animation.py
index df84f3c5a..bc5f83957 100644
--- a/examples/desktop/misc/image_animation.py
+++ b/examples/misc/image_animation.py
@@ -13,7 +13,7 @@
 
 data = np.random.rand(512, 512)
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 # plot the image data
 image_graphic = figure[0, 0].add_image(data=data, name="random-image")
@@ -29,10 +29,9 @@ def update_data(figure_instance):
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/misc/large_img.py b/examples/misc/large_img.py
deleted file mode 100644
index 021bbd6f6..000000000
--- a/examples/misc/large_img.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from fastplotlib import Plot, run
-import numpy as np
-
-temporal = np.load("./array_10-000x108-000.npy")
-
-from PIL import Image
-
-Image.MAX_IMAGE_PIXELS = None
-
-img = Image.open("/home/kushal/Downloads/gigahour_stitched_0042_bbs.png")
-
-a = np.array(img)
-
-r = np.random.randint(0, 50, a.size, dtype=np.uint8).reshape(a.shape)
-
-plot = Plot(renderer_kwargs={"show_fps": True})
-plot.add_heatmap(r)
-# plot.camera.scale.y = 0.2
-plot.show()
-
-r = np.random.randint(0, 50, a.size, dtype=np.uint8).reshape(a.shape)
-r2 = np.random.randint(0, 50, a.size, dtype=np.uint8).reshape(a.shape)
-r3 = np.random.randint(0, 50, a.size, dtype=np.uint8).reshape(a.shape)
-
-rs = [r, r2, r3]
-i = 0
-
-def update_frame(p):
-    global i
-    p.graphics[0].data[:] = rs[i % 3]
-    i +=1
-    
-plot.add_animations(update_frame)
-
-run()
diff --git a/examples/desktop/misc/line3d_animation.py b/examples/misc/line3d_animation.py
similarity index 83%
rename from examples/desktop/misc/line3d_animation.py
rename to examples/misc/line3d_animation.py
index 27d22c78a..b26bfd3a0 100644
--- a/examples/desktop/misc/line3d_animation.py
+++ b/examples/misc/line3d_animation.py
@@ -6,7 +6,7 @@
 """
 
 # test_example = false
-# sphinx_gallery_pygfx_docs = 'animate 5s'
+# sphinx_gallery_pygfx_docs = 'animate 8s'
 
 import numpy as np
 import fastplotlib as fpl
@@ -21,7 +21,7 @@
 # make data 3d, with shape [<n_vertices>, 3]
 spiral = np.dstack([xs, ys, zs])[0]
 
-figure = fpl.Figure(cameras="3d")
+figure = fpl.Figure(cameras="3d", size=(700, 560))
 
 line_graphic = figure[0,0].add_line(data=spiral, thickness=3, cmap='jet')
 
@@ -46,14 +46,16 @@ def move_marker():
 # add `move_marker` to the animations
 figure.add_animations(move_marker)
 
-figure.show()
+# remove clutter
+figure[0, 0].axes.grids.xy.visible = True
+figure[0, 0].axes.grids.xz.visible = True
+
 
-figure.canvas.set_logical_size(700, 560)
+figure.show()
 
-figure[0,0].auto_scale(maintain_aspect=False)
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/misc/line_animation.py b/examples/misc/line_animation.py
similarity index 88%
rename from examples/desktop/misc/line_animation.py
rename to examples/misc/line_animation.py
index 50faad5c7..07c6a7d94 100644
--- a/examples/desktop/misc/line_animation.py
+++ b/examples/misc/line_animation.py
@@ -19,7 +19,7 @@
 xs = np.linspace(start, stop, 100)
 ys = np.sin(xs)
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 # plot the image data
 sine = figure[0, 0].add_line(ys, name="sine", colors="r")
@@ -40,14 +40,11 @@ def update_line(subplot):
 
 figure[0, 0].add_animations(update_line)
 
-figure.show()
+figure.show(maintain_aspect=False)
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0,0].auto_scale(maintain_aspect=False)
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
\ No newline at end of file
+    fpl.loop.run()
diff --git a/examples/misc/lorenz_animation.py b/examples/misc/lorenz_animation.py
new file mode 100644
index 000000000..4d4c5129f
--- /dev/null
+++ b/examples/misc/lorenz_animation.py
@@ -0,0 +1,93 @@
+"""
+Lorenz System Animation
+=======================
+
+Example of the Lorenz attractor.
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'animate 10s'
+
+import fastplotlib as fpl
+import numpy as np
+
+
+# generate data
+def lorenz(xyz, *, s=10, r=28, b=2.667):
+    """
+    Parameters
+    ----------
+    xyz : array-like, shape (3,)
+       Point of interest in three-dimensional space.
+    s, r, b : float
+       Parameters defining the Lorenz attractor.
+
+    Returns
+    -------
+    xyz_dot : array, shape (3,)
+       Values of the Lorenz attractor's partial derivatives at *xyz*.
+    """
+    x, y, z = xyz
+    x_dot = s * (y - x)
+    y_dot = r * x - y - x * z
+    z_dot = x * y - b * z
+    return np.array([x_dot, y_dot, z_dot])
+
+
+dt = 0.01
+num_steps = 3_000
+
+lorenz_data = np.empty((5, num_steps + 1, 3))
+
+for i in range(5):
+    xyzs = np.empty((num_steps + 1, 3))  # Need one more for the initial values
+    xyzs[0] = (0., (i * 0.3) + 1, 1.05)  # Set initial values
+    # Step through "time", calculating the partial derivatives at the current point
+    # and using them to estimate the next point
+    for j in range(num_steps):
+        xyzs[j + 1] = xyzs[j] + lorenz(xyzs[j]) * dt
+
+    lorenz_data[i] = xyzs
+
+figure = fpl.Figure(
+    cameras="3d",
+    controller_types="fly",
+    size=(700, 560)
+)
+
+lorenz_line = figure[0, 0].add_line_collection(data=lorenz_data, thickness=.1, cmap="tab10")
+
+scatter_markers = list()
+
+for graphic in lorenz_line:
+    marker = figure[0, 0].add_scatter(graphic.data.value[0], sizes=16, colors=graphic.colors[0])
+    scatter_markers.append(marker)
+
+# initialize time
+time = 0
+
+
+def animate(subplot):
+    global time
+
+    time += 2
+
+    if time >= xyzs.shape[0]:
+        time = 0
+
+    for scatter, g in zip(scatter_markers, lorenz_line):
+        scatter.data = g.data.value[time]
+
+
+figure[0, 0].add_animations(animate)
+
+figure.show()
+
+# set initial camera position to make animation in gallery render better
+figure[0, 0].camera.world.z = 80
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/desktop/misc/multiplot_animation.py b/examples/misc/multiplot_animation.py
similarity index 87%
rename from examples/desktop/misc/multiplot_animation.py
rename to examples/misc/multiplot_animation.py
index a712ce9ef..18512add1 100644
--- a/examples/desktop/misc/multiplot_animation.py
+++ b/examples/misc/multiplot_animation.py
@@ -2,7 +2,7 @@
 Multi-Subplot Image Update
 ==========================
 
-Example showing updating a single plot with new random 512x512 data.
+Example showing updating a multiple subplots with new random 512x512 data.
 """
 
 # test_example = false
@@ -12,7 +12,7 @@
 import numpy as np
 
 # Figure of shape 2 x 3 with all controllers synced
-figure = fpl.Figure(shape=(2, 3), controller_ids="sync")
+figure = fpl.Figure(shape=(2, 3), controller_ids="sync", size=(700, 560))
 
 # Make a random image graphic for each subplot
 for subplot in figure:
@@ -40,10 +40,9 @@ def update_data(f):
 # show the gridplot
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
\ No newline at end of file
+    fpl.loop.run()
diff --git a/examples/desktop/misc/scatter_animation.py b/examples/misc/scatter_animation.py
similarity index 94%
rename from examples/desktop/misc/scatter_animation.py
rename to examples/misc/scatter_animation.py
index aa1495dd9..d85a33e6a 100644
--- a/examples/desktop/misc/scatter_animation.py
+++ b/examples/misc/scatter_animation.py
@@ -34,7 +34,7 @@
 colors = ["yellow"] * n_points + ["cyan"] * n_points + ["magenta"] * n_points
 
 # create plot
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 subplot_scatter = figure[0, 0]
 # use an alpha value since this will be a lot of points
 scatter_graphic = subplot_scatter.add_scatter(data=cloud, sizes=3, colors=colors, alpha=0.6)
@@ -50,10 +50,9 @@ def update_points(subplot):
 
 figure.show()
 
-subplot_scatter.canvas.set_logical_size(700, 560)
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
\ No newline at end of file
+    fpl.loop.run()
diff --git a/examples/misc/scatter_sizes_animation.py b/examples/misc/scatter_sizes_animation.py
new file mode 100644
index 000000000..45782564d
--- /dev/null
+++ b/examples/misc/scatter_sizes_animation.py
@@ -0,0 +1,47 @@
+"""
+Scatter sizes animation
+=======================
+
+Animate scatter sizes
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'animate 6s'
+
+import numpy as np
+import fastplotlib as fpl
+
+xs = np.linspace(0, 10 * np.pi, 1_000)
+# sine wave
+ys = np.sin(xs)
+data = np.column_stack([xs, ys])
+
+sizes = np.abs(ys) * 5
+
+figure = fpl.Figure(size=(700, 560))
+
+figure[0, 0].add_scatter(data, sizes=sizes, name="sine")
+
+
+i = 0
+def update_sizes(subplot):
+    global i
+
+    xs = np.linspace(0.1 * i, (10 * np.pi) + (0.1 * i), 1_000)
+    sizes = np.abs(np.sin(xs)) * 5
+
+    subplot["sine"].sizes = sizes
+
+    i += 1
+
+
+figure[0, 0].add_animations(update_sizes)
+
+figure.show(maintain_aspect=False)
+
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/desktop/misc/simple_event.py b/examples/misc/simple_event.py
similarity index 94%
rename from examples/desktop/misc/simple_event.py
rename to examples/misc/simple_event.py
index b6d408862..e382f04b5 100644
--- a/examples/desktop/misc/simple_event.py
+++ b/examples/misc/simple_event.py
@@ -14,7 +14,7 @@
 data = iio.imread("imageio:camera.png")
 
 # Create a figure
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 # plot sine wave, use a single color
 image_graphic = figure[0,0].add_image(data=data)
@@ -47,10 +47,8 @@ def click_event(event_data):
     print(xy)
 
 
-figure.canvas.set_logical_size(700, 560)
-
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/notebooks/heatmap.ipynb b/examples/notebooks/heatmap.ipynb
deleted file mode 100644
index 7de3af2a0..000000000
--- a/examples/notebooks/heatmap.ipynb
+++ /dev/null
@@ -1,106 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "d8c90f4b-b635-4027-b7d5-080d77bd40a3",
-   "metadata": {},
-   "source": [
-    "# Looking at very large arrays"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "49b2498d-56ae-4559-9282-c8484f3e6b6d",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import fastplotlib as fpl"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "908f93f8-68c3-4a36-8f40-e0aab560955d",
-   "metadata": {},
-   "source": [
-    "## Generate some sine and cosine data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "40718465-abf6-4727-8bd7-4acdd59843d5",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "xs = np.linspace(0, 1_000, 20_000)\n",
-    "\n",
-    "sine = np.sin(np.sqrt(xs))\n",
-    "\n",
-    "data = np.vstack([sine * i for i in range(10_000)])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "02b072eb-2909-40c8-8739-950f07efbbc2",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "data.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "84deb31b-5464-4cce-a938-694371011021",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fig = fpl.Figure()\n",
-    "\n",
-    "fig[0, 0].add_image(data, cmap=\"viridis\")\n",
-    "\n",
-    "fig.show(maintain_aspect=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "df3f8994-0f5b-4578-a36d-4cd9bf0733c0",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/examples/notebooks/image_widget_test.ipynb b/examples/notebooks/image_widget_test.ipynb
index 321f7b84f..2c05db6b0 100644
--- a/examples/notebooks/image_widget_test.ipynb
+++ b/examples/notebooks/image_widget_test.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "07019035-83f2-4753-9e7c-628ae439b441",
    "metadata": {
     "tags": []
@@ -18,14 +18,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "10b8ab40-944d-472c-9b7e-cae8a129e7ce",
    "metadata": {},
    "outputs": [],
    "source": [
-    "from nb_test_utils import plot_test, notebook_finished\n",
-    "import nb_test_utils\n",
-    "nb_test_utils.TOLERANCE = 0.035"
+    "from nb_test_utils import plot_test, notebook_finished"
    ]
   },
   {
@@ -155,26 +153,33 @@
    "outputs": [],
    "source": [
     "# testing cell ignore\n",
-    "assert iw_movie.sliders[\"t\"].max == gray_movie.shape[0] - 1\n",
-    "assert iw_movie.sliders[\"t\"].min == 0\n",
+    "assert iw_movie._dims_max_bounds[\"t\"] == gray_movie.shape[0]\n",
+    "\n",
     "plot_test(\"image-widget-movie-single-0\", iw_movie.figure)\n",
-    "iw_movie.sliders[\"t\"].value = 50\n",
+    "\n",
+    "iw_movie.current_index = {\"t\": 50}\n",
     "plot_test(\"image-widget-movie-single-50\", iw_movie.figure)\n",
-    "iw_movie.sliders[\"t\"].value = 279\n",
+    "\n",
+    "iw_movie.current_index = {\"t\": 279}\n",
     "plot_test(\"image-widget-movie-single-279\", iw_movie.figure)\n",
-    "iw_movie.sliders[\"t\"].value = 0\n",
+    "\n",
+    "iw_movie.current_index = {\"t\": 0}\n",
     "plot_test(\"image-widget-movie-single-0-reset\", iw_movie.figure)\n",
-    "iw_movie.sliders[\"t\"].value = 50\n",
+    "\n",
+    "iw_movie.current_index = {\"t\": 50}\n",
     "iw_movie.window_funcs = {\"t\": (np.mean, 13)}\n",
-    "# testing cell ignore\n",
+    "\n",
     "plot_test(\"image-widget-movie-single-50-window-mean-13\", iw_movie.figure)\n",
     "iw_movie.window_funcs[\"t\"].window_size = 33\n",
+    "\n",
     "plot_test(\"image-widget-movie-single-50-window-mean-33\", iw_movie.figure)\n",
     "iw_movie.window_funcs[\"t\"].func = np.max\n",
+    "\n",
     "plot_test(\"image-widget-movie-single-50-window-max-33\", iw_movie.figure)\n",
     "iw_movie.window_funcs = None\n",
+    "\n",
     "plot_test(\"image-widget-movie-single-50-window-reset\", iw_movie.figure)\n",
-    "iw_movie.sliders[\"t\"].value = 0"
+    "iw_movie.current_index = {\"t\": 0}"
    ]
   },
   {
@@ -307,24 +312,31 @@
    "outputs": [],
    "source": [
     "# testing cell ignore\n",
-    "assert iw_zfish.sliders[\"t\"].max == zfish_data.shape[0] - 1\n",
-    "assert iw_zfish.sliders[\"t\"].min == 0\n",
+    "assert iw_zfish._dims_max_bounds[\"t\"] == zfish_data.shape[0]\n",
+    "\n",
     "plot_test(\"image-widget-zfish-grid-init-mean-window-5\", iw_zfish.figure)\n",
-    "iw_zfish.sliders[\"t\"].value = 50\n",
+    "\n",
+    "iw_zfish.current_index = {\"t\": 50}\n",
     "plot_test(\"image-widget-zfish-grid-frame-50-mean-window-5\", iw_zfish.figure)\n",
+    "\n",
     "iw_zfish.window_funcs[\"t\"].window_size = 13\n",
     "plot_test(\"image-widget-zfish-grid-frame-50-mean-window-13\", iw_zfish.figure)\n",
+    "\n",
     "iw_zfish.window_funcs = None\n",
     "plot_test(\"image-widget-zfish-grid-frame-50\", iw_zfish.figure)\n",
-    "iw_zfish.sliders[\"t\"].value = 99\n",
+    "\n",
+    "iw_zfish.current_index = {\"t\": 99}\n",
     "plot_test(\"image-widget-zfish-grid-frame-99\", iw_zfish.figure)\n",
-    "iw_zfish.sliders[\"t\"].value = 50\n",
+    "\n",
+    "iw_zfish.current_index = {\"t\": 50}\n",
     "iw_zfish.window_funcs = {\"t\": (np.max, 13)}\n",
     "plot_test(\"image-widget-zfish-grid-frame-50-max-window-13\", iw_zfish.figure)\n",
+    "\n",
     "iw_zfish.window_funcs = None\n",
     "iw_zfish.frame_apply = lambda frame: gaussian_filter(frame.astype(np.float32), sigma=3)\n",
     "iw_zfish.reset_vmin_vmax()\n",
     "plot_test(\"image-widget-zfish-grid-frame-50-frame-apply-gaussian\", iw_zfish.figure)\n",
+    "\n",
     "iw_zfish.frame_apply = None\n",
     "iw_zfish.reset_vmin_vmax()\n",
     "plot_test(\"image-widget-zfish-grid-frame-50-frame-apply-reset\", iw_zfish.figure)"
@@ -407,24 +419,31 @@
    "outputs": [],
    "source": [
     "# same tests as with the figure\n",
-    "assert iw_z.sliders[\"t\"].max == zfish_data.shape[0] - 1\n",
-    "assert iw_z.sliders[\"t\"].min == 0\n",
+    "assert iw_z._dims_max_bounds[\"t\"] == zfish_data.shape[0]\n",
+    "\n",
     "plot_test(\"image-widget-zfish-init-mean-window-5\", iw_z.figure)\n",
-    "iw_z.sliders[\"t\"].value = 50\n",
+    "\n",
+    "iw_z.current_index = {\"t\": 50}\n",
     "plot_test(\"image-widget-zfish-frame-50-mean-window-5\", iw_z.figure)\n",
+    "\n",
     "iw_z.window_funcs[\"t\"].window_size = 13\n",
     "plot_test(\"image-widget-zfish-frame-50-mean-window-13\", iw_z.figure)\n",
+    "\n",
     "iw_z.window_funcs = None\n",
     "plot_test(\"image-widget-zfish-frame-50\", iw_z.figure)\n",
-    "iw_z.sliders[\"t\"].value = 99\n",
+    "\n",
+    "iw_z.current_index = {\"t\": 99}\n",
     "plot_test(\"image-widget-zfish-frame-99\", iw_z.figure)\n",
-    "iw_z.sliders[\"t\"].value = 50\n",
+    "\n",
+    "iw_z.current_index = {\"t\": 50}\n",
     "iw_z.window_funcs = {\"t\": (np.max, 13)}\n",
     "plot_test(\"image-widget-zfish-frame-50-max-window-13\", iw_z.figure)\n",
+    "\n",
     "iw_z.window_funcs = None\n",
     "iw_z.frame_apply = lambda frame: gaussian_filter(frame.astype(np.float32), sigma=3)\n",
     "iw_z.reset_vmin_vmax()\n",
     "plot_test(\"image-widget-zfish-frame-50-frame-apply-gaussian\", iw_z.figure)\n",
+    "\n",
     "iw_z.frame_apply = None\n",
     "iw_z.reset_vmin_vmax()\n",
     "plot_test(\"image-widget-zfish-frame-50-frame-apply-reset\", iw_z.figure)"
@@ -450,7 +469,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "id": "ed783360-992d-40f8-bb6f-152a59edff43",
    "metadata": {},
    "outputs": [],
@@ -465,7 +484,7 @@
     "    rgb=[False, True],\n",
     "    histogram_widget=True,\n",
     "    cmap=\"gnuplot2\", \n",
-    "    figure_kwargs = {\"controller_ids\": None},\n",
+    "    figure_kwargs={\"controller_ids\": None, \"size\": (900, 400)},\n",
     ")\n",
     "\n",
     "iw_mixed_shapes.show()"
@@ -473,21 +492,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
    "id": "274c67b4-aa07-4fcf-a094-1b1e70d0378a",
    "metadata": {},
    "outputs": [],
    "source": [
-    "iw_mixed_shapes.sliders[\"t\"].value = 50\n",
+    "iw_mixed_shapes.current_index = {\"t\": 50}\n",
     "plot_test(\"image-widget-zfish-mixed-rgb-cockatoo-frame-50\", iw_mixed_shapes.figure)\n",
     "\n",
-    "#Set the data, changing the first array and also the size of the \"T\" slider\n",
+    "# Set the data, changing the first array and also the size of the \"T\" slider\n",
     "iw_mixed_shapes.set_data([zfish_frame_2, movie[:200, :, :, :]], reset_indices=True)\n",
     "plot_test(\"image-widget-zfish-mixed-rgb-cockatoo-set-data\", iw_mixed_shapes.figure)\n",
     "\n",
-    "#Check how a window function might work on the RGB data\n",
+    "# Check how a window function might work on the RGB data\n",
     "iw_mixed_shapes.window_funcs = {\"t\": (np.mean, 4)}\n",
-    "iw_mixed_shapes.sliders[\"t\"].value = 20\n",
+    "iw_mixed_shapes.current_index = {\"t\": 20}\n",
     "plot_test(\"image-widget-zfish-mixed-rgb-cockatoo-windowrgb\", iw_mixed_shapes.figure)"
    ]
   },
@@ -518,7 +537,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.3"
   }
  },
  "nbformat": 4,
diff --git a/examples/notebooks/linear_region_selector.ipynb b/examples/notebooks/linear_region_selector.ipynb
deleted file mode 100644
index 74b304a35..000000000
--- a/examples/notebooks/linear_region_selector.ipynb
+++ /dev/null
@@ -1,182 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "1db50ec4-8754-4421-9f5e-6ba8ca6b81e3",
-   "metadata": {},
-   "source": [
-    "# `LinearRegionSelector` with single lines"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b7bbfeb4-1ad0-47db-9a82-3d3f642a1f63",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import fastplotlib as fpl\n",
-    "import numpy as np\n",
-    "# from ipywidgets import IntRangeSlider, FloatRangeSlider, VBox\n",
-    "\n",
-    "fig = fpl.Figure((2, 2))\n",
-    "\n",
-    "# preallocated size for zoomed data\n",
-    "zoomed_prealloc = 1_000\n",
-    "\n",
-    "# data to plot\n",
-    "xs = np.linspace(0, 10* np.pi, 1_000)\n",
-    "sine = np.sin(xs)\n",
-    "sine += 100\n",
-    "\n",
-    "# make sine along x axis\n",
-    "sine_graphic_x = fig[0, 0].add_line(np.column_stack([xs, sine]), offset=(10, 0, 0))\n",
-    "\n",
-    "# just something that looks different for line along y-axis\n",
-    "sine_y = sine\n",
-    "sine_y[sine_y > 0] = 0\n",
-    "\n",
-    "# sine along y axis\n",
-    "sine_graphic_y = fig[0, 1].add_line(np.column_stack([sine_y, xs]))\n",
-    "\n",
-    "# offset the position of the graphic to demonstrate `get_selected_data()` later\n",
-    "sine_graphic_y.position_x = 50\n",
-    "sine_graphic_y.position_y = 50\n",
-    "\n",
-    "# add linear selectors\n",
-    "ls_x = sine_graphic_x.add_linear_region_selector()  # default axis is \"x\"\n",
-    "ls_y = sine_graphic_y.add_linear_region_selector(axis=\"y\")\n",
-    "\n",
-    "# preallocate array for storing zoomed in data\n",
-    "zoomed_init = np.column_stack([np.arange(zoomed_prealloc), np.zeros(zoomed_prealloc)])\n",
-    "\n",
-    "# make line graphics for displaying zoomed data\n",
-    "zoomed_x = fig[1, 0].add_line(zoomed_init)\n",
-    "zoomed_y = fig[1, 1].add_line(zoomed_init)\n",
-    "\n",
-    "\n",
-    "def interpolate(subdata: np.ndarray, axis: int):\n",
-    "    \"\"\"1D interpolation to display within the preallocated data array\"\"\"\n",
-    "    x = np.arange(0, zoomed_prealloc)\n",
-    "    xp = np.linspace(0, zoomed_prealloc, subdata.shape[0])\n",
-    "    \n",
-    "    # interpolate to preallocated size\n",
-    "    return np.interp(x, xp, fp=subdata[:, axis])  # use the y-values\n",
-    "\n",
-    "@ls_x.add_event_handler(\"selection\")\n",
-    "def set_zoom_x(ev):\n",
-    "    \"\"\"sets zoomed x selector data\"\"\"\n",
-    "    # get the selected data\n",
-    "    selected_data = ev.get_selected_data()\n",
-    "    if selected_data.size == 0:\n",
-    "        # no data selected\n",
-    "        zoomed_x.data[:, 1] = 0\n",
-    "\n",
-    "    # set the y-values\n",
-    "    zoomed_x.data[:, 1] = interpolate(selected_data, axis=1)\n",
-    "    fig[1, 0].auto_scale()\n",
-    "\n",
-    "\n",
-    "def set_zoom_y(ev):\n",
-    "    \"\"\"sets zoomed x selector data\"\"\"\n",
-    "    # get the selected data\n",
-    "    selected_data = ev.get_selected_data()\n",
-    "    if selected_data.size == 0:\n",
-    "        # no data selected\n",
-    "        zoomed_y.data[:, 0] = 0\n",
-    "\n",
-    "    # set the x-values\n",
-    "    zoomed_y.data[:, 0] = -interpolate(selected_data, axis=1)\n",
-    "    fig[1, 1].auto_scale()\n",
-    "\n",
-    "\n",
-    "fig.show(maintain_aspect=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a9583d2e-ec52-405c-a875-f3fec5e3aa16",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# data to plot\n",
-    "xs = np.linspace(0, 100, 1_000)\n",
-    "sine = np.sin(xs) * 20\n",
-    "cosine = np.cos(xs) * 20\n",
-    "\n",
-    "fig_stack = fpl.Figure((5, 1))\n",
-    "\n",
-    "# sines and cosines\n",
-    "sines = [sine] * 2\n",
-    "cosines = [cosine] * 2\n",
-    "\n",
-    "# make line stack\n",
-    "line_stack = fig_stack[0, 0].add_line_stack(sines + cosines, separation=50)\n",
-    "\n",
-    "# make selector\n",
-    "selector = line_stack.add_linear_region_selector()\n",
-    "\n",
-    "# populate subplots with preallocated graphics\n",
-    "for i, subplot in enumerate(fig_stack):\n",
-    "    if i == 0:\n",
-    "        # skip the first one\n",
-    "        continue\n",
-    "    # make line graphics for displaying zoomed data\n",
-    "    subplot.add_line(zoomed_init, name=\"zoomed\")\n",
-    "\n",
-    "\n",
-    "@selector.add_event_handler(\"selection\")\n",
-    "def update_zoomed_subplots(ev):\n",
-    "    \"\"\"update the zoomed subplots\"\"\"\n",
-    "    zoomed_data = ev.get_selected_data()\n",
-    "    \n",
-    "    for i in range(len(zoomed_data)):\n",
-    "        # interpolate y-vals\n",
-    "        data = interpolate(zoomed_data[i], axis=1)\n",
-    "        fig_stack[i + 1, 0][\"zoomed\"].data[:, 1] = data\n",
-    "        fig_stack[i + 1, 0].auto_scale()\n",
-    "\n",
-    "\n",
-    "fig_stack.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0fa051b5-d6bc-4e4e-8f12-44f638a00c88",
-   "metadata": {},
-   "source": [
-    "# Large line stack with selector"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "cbcd6309-fb47-4941-9fd1-2b091feb3ae7",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/examples/notebooks/linear_selector.ipynb b/examples/notebooks/linear_selector.ipynb
deleted file mode 100644
index bac8df182..000000000
--- a/examples/notebooks/linear_selector.ipynb
+++ /dev/null
@@ -1,150 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "a06e1fd9-47df-42a3-a76c-19e23d7b89fd",
-   "metadata": {},
-   "source": [
-    "## `LinearSelector`, draggable selector that can also be linked to an ipywidget slider"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "eb95ba19-14b5-4bf4-93d9-05182fa500cb",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import fastplotlib as fpl\n",
-    "\n",
-    "import numpy as np\n",
-    "from ipywidgets import VBox, IntSlider, FloatSlider\n",
-    "\n",
-    "fig = fpl.Figure()\n",
-    "\n",
-    "# data to plot\n",
-    "xs = np.linspace(0, 100, 1000)\n",
-    "sine = np.sin(xs) * 20\n",
-    "\n",
-    "# make sine along x axis\n",
-    "sine_graphic = fig[0, 0].add_line(np.column_stack([xs, sine]).astype(np.float32))\n",
-    "\n",
-    "# make some selectors\n",
-    "selector = sine_graphic.add_linear_selector()\n",
-    "selector2 = sine_graphic.add_linear_selector(20)\n",
-    "selector3 = sine_graphic.add_linear_selector(40)\n",
-    "\n",
-    "# one of the selectors will change the line colors when it moves\n",
-    "@selector.add_event_handler(\"selection\")\n",
-    "def set_color_at_index(ev):\n",
-    "    # changes the color at the index where the slider is\n",
-    "    ix = ev.get_selected_index()\n",
-    "    g = ev.graphic.parent\n",
-    "    g.colors[ix] = \"green\"\n",
-    "\n",
-    "# fastplotlib LineSelector can make an ipywidget slider and return it :D \n",
-    "ipywidget_slider = selector.make_ipywidget_slider()\n",
-    "ipywidget_slider.description = \"slider1\"\n",
-    "\n",
-    "# or you can make your own ipywidget sliders and connect them to the linear selector\n",
-    "ipywidget_slider2 = IntSlider(min=0, max=100, description=\"slider2\")\n",
-    "ipywidget_slider3 = FloatSlider(min=0, max=100, description=\"slider3\")\n",
-    "\n",
-    "selector2.add_ipywidget_handler(ipywidget_slider2, step=5)\n",
-    "selector3.add_ipywidget_handler(ipywidget_slider3, step=0.1)\n",
-    "\n",
-    "fig[0, 0].auto_scale()\n",
-    "VBox([fig.show(), ipywidget_slider, ipywidget_slider2, ipywidget_slider3])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d83caca6-e9b6-45df-b93c-0dfe0498d20e",
-   "metadata": {},
-   "source": [
-    "Double click the first selctor, and then use `Shift` + Right/Left Arrow Key to move it!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7ab9f141-f92f-4c4c-808b-97dafd64ca25",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# this controls the step-size of arrow key movements\n",
-    "selector.step = 0.1"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3b0f448f-bbe4-4b87-98e3-093f561c216c",
-   "metadata": {
-    "jp-MarkdownHeadingCollapsed": true
-   },
-   "source": [
-    "### Drag linear selectors with the mouse, hold \"Shift\" to synchronize movement of all the selectors"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c6f041b7-8779-46f1-8454-13cec66f53fd",
-   "metadata": {},
-   "source": [
-    "## Also works for line collections"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e36da217-f82a-4dfa-9556-1f4a2c7c4f1c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sines = [sine] * 10\n",
-    "\n",
-    "fig = fpl.Figure()\n",
-    "\n",
-    "sine_stack = fig[0, 0].add_line_stack(sines)\n",
-    "\n",
-    "colors = \"y\", \"blue\", \"red\", \"green\"\n",
-    "\n",
-    "selectors = list()\n",
-    "for i, c in enumerate(colors):\n",
-    "    sel = sine_stack.add_linear_selector(i * 100, color=c, name=str(i))\n",
-    "    selectors.append(sel)\n",
-    "\n",
-    "fig.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "71ae4fca-f644-4d4f-8f32-f9d069bbc2f1",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/examples/notebooks/lineplot.ipynb b/examples/notebooks/lineplot.ipynb
deleted file mode 100644
index 85ebb60f5..000000000
--- a/examples/notebooks/lineplot.ipynb
+++ /dev/null
@@ -1,129 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "386184a4-bd03-4467-a539-2696c3c5a573",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "# A more complex example combing different graphics, subplots and multiple perspectives"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9c974494-712e-4981-bae2-a3ee176a6b20",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import fastplotlib as fpl"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c3d8f967-f60f-4f0b-b6ba-21b1251b4856",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# create data in the shape of a spiral\n",
-    "phi = np.linspace(0, 30, 200)\n",
-    "\n",
-    "xs = phi * np.cos(phi)\n",
-    "ys = phi * np.sin(phi)\n",
-    "zs = phi\n",
-    "\n",
-    "# make data 3d, with shape [<n_vertices>, 3]\n",
-    "spiral = np.dstack([xs, ys, zs])[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "78cffe56-1147-4255-82c1-53cec6bc986a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# figure with 2 rows and 2 columns\n",
-    "shape = (2, 2)\n",
-    "\n",
-    "# pan-zoom controllers for each subplot\n",
-    "# subplots are synced if they have the\n",
-    "# same controller ID\n",
-    "# in this example the first view has its own controller\n",
-    "# and the last 3 views are synced\n",
-    "controller_ids = [\n",
-    "    [0, 1], # id each controller with an integer\n",
-    "    [1, 1]\n",
-    "]\n",
-    "\n",
-    "# create the figure\n",
-    "fig = fpl.Figure(\n",
-    "    shape=shape,\n",
-    "    cameras='3d',  # 3D view for all subplots within the figure\n",
-    "    controller_ids=controller_ids\n",
-    ")\n",
-    "\n",
-    "for i, subplot in enumerate(fig):\n",
-    "    # create and add the LineGraphic\n",
-    "    line_graphic = subplot.add_line(data=spiral, thickness=3, cmap='jet')\n",
-    "    \n",
-    "    # make axes visible\n",
-    "    subplot.set_axes_visibility(True)\n",
-    "    subplot.set_grid_visibility(True)\n",
-    "    \n",
-    "    marker = subplot.add_scatter(data=spiral[0], sizes=10, name=\"marker\")\n",
-    "    \n",
-    "marker_index = 0\n",
-    "\n",
-    "# a function to move the ball along the spiral\n",
-    "def move_marker():\n",
-    "    global marker_index\n",
-    "    \n",
-    "    marker_index += 1\n",
-    "    \n",
-    "    if marker_index == spiral.shape[0]:\n",
-    "        marker_index = 0\n",
-    "    \n",
-    "    for subplot in fig:\n",
-    "        subplot[\"marker\"].data = spiral[marker_index]\n",
-    "        \n",
-    "# add `move_marker` to the animations\n",
-    "fig.add_animations(move_marker)\n",
-    "\n",
-    "fig.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e388eb93-7a9b-4ae4-91fc-cf32947f63a9",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/examples/notebooks/lines_cmap.ipynb b/examples/notebooks/lines_cmap.ipynb
deleted file mode 100644
index 3ceb25326..000000000
--- a/examples/notebooks/lines_cmap.ipynb
+++ /dev/null
@@ -1,306 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b169210c-b148-4701-91d2-87f8be2c90da",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import fastplotlib as fpl"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5d2ef4aa-0e4c-4694-ae2e-05da1153a413",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# this is only for testing, you do not need this to use fastplotlib\n",
-    "from nb_test_utils import plot_test, notebook_finished"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a6615d45-6a6e-4a1e-a998-18f7cc52f6b9",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# linspace, create 100 evenly spaced x values from -10 to 10\n",
-    "xs = np.linspace(-10, 10, 100)\n",
-    "# sine wave\n",
-    "ys = np.sin(xs)\n",
-    "sine = np.column_stack([xs, ys])\n",
-    "\n",
-    "# cosine wave\n",
-    "ys = np.cos(xs)\n",
-    "cosine = np.column_stack([xs, ys])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "52a91e8a-25b7-4121-a06f-623d7412b558",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fig = fpl.Figure()\n",
-    "\n",
-    "fig[0, 0].add_line(sine, thickness=10)\n",
-    "\n",
-    "fig.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "727282c3-aadf-420f-a88e-9dd4d4e91263",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "plot_test(\"lines-cmap-white\", fig)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "889b1858-ed64-4d6b-96ad-3883fbe4d38e",
-   "metadata": {},
-   "source": [
-    "# Fancy indexing of line colormaps"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "13185547-07bc-4771-ac6d-83314622bf30",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fig[0, 0].graphics[0].cmap = \"jet\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3c9b0bc8-b176-425c-8036-63dc55ab7466",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# for testing, ignore\n",
-    "plot_test(\"lines-cmap-jet\", fig)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "13c1c034-2b3b-4568-b979-7c0bbea698ae",
-   "metadata": {},
-   "source": [
-    "map colors from sine data values by setting the cmap transform"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ee9ec4d7-d9a2-417c-92bd-b01a9a019801",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fig[0, 0].graphics[0].cmap.transform = sine[:, 1]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6b19d2d4-90e7-40ed-afb9-13abe5474ace",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# for testing, ignore\n",
-    "plot_test(\"lines-cmap-jet-values\", fig)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ebf9f494-782d-4529-9ef6-a2a4032f097d",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# set transform from cosine\n",
-    "fig[0, 0].graphics[0].cmap.transform = cosine[:, 1]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0a6c4739-fa61-4532-865e-21107eab76f9",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# for testing, ignore\n",
-    "plot_test(\"lines-cmap-jet-values-cosine\", fig)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5ddc95cf-b3be-4212-b525-1c628dc1e091",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# change cmap\n",
-    "fig[0, 0].graphics[0].cmap = \"viridis\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "45acfd2f-09f5-418c-bca5-3e574348b7d5",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# for testing, ignore\n",
-    "plot_test(\"lines-cmap-viridis\", fig)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1f52bfdc-8151-4bab-973c-1bac36011802",
-   "metadata": {},
-   "source": [
-    "use cmap transform to map for a qualitative transform"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7712d313-16cd-49e5-89ca-91364412f194",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "cmap_transform = [0] * 25 + [1] * 5 + [2] * 50 + [3] * 20"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c8c13c03-56f0-48c3-b44e-65545a3bc3bc",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fig[0, 0].graphics[0].cmap.transform = cmap_transform"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7548407f-05ed-4c47-93cc-131c61f8e242",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# for testing, ignore\n",
-    "plot_test(\"lines-cmap-viridis-values\", fig)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f64d036d-8a9e-4799-b77f-e78afa441fec",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fig[0, 0].graphics[0].cmap = \"tab10\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c290c642-ba5f-4a46-9a17-c434cb39de26",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# for testing, ignore\n",
-    "plot_test(\"lines-cmap-tab-10\", fig)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c4b9e735-72e9-4f0e-aa3e-43db57e65c99",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# for testing, ignore\n",
-    "notebook_finished()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f6735cc0-910c-4854-ac50-8ee553a6475e",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/examples/notebooks/nb_test_utils.py b/examples/notebooks/nb_test_utils.py
index 791640fe2..e1c32e0a0 100644
--- a/examples/notebooks/nb_test_utils.py
+++ b/examples/notebooks/nb_test_utils.py
@@ -16,7 +16,7 @@
 os.makedirs(SCREENSHOTS_DIR, exist_ok=True)
 os.makedirs(DIFFS_DIR, exist_ok=True)
 
-TOLERANCE = 0.025
+TOLERANCE = 0.1
 
 # store all the failures to allow the nb to proceed to test other examples
 FAILURES = list()
@@ -105,11 +105,21 @@ def plot_test(name, fig: fpl.Figure):
 
 
 def regenerate_screenshot(name, data):
-        iio.imwrite(SCREENSHOTS_DIR.joinpath(f"nb-{name}.png"), data)
+    if fpl.IMGUI:
+        prefix = ""
+    else:
+        prefix = "no-imgui-"
+
+    iio.imwrite(SCREENSHOTS_DIR.joinpath(f"{prefix}nb-{name}.png"), data)
 
 
 def assert_screenshot_equal(name, data):
-    ground_truth = iio.imread(SCREENSHOTS_DIR.joinpath(f"nb-{name}.png"))
+    if fpl.IMGUI:
+        prefix = ""
+    else:
+        prefix = "no-imgui-"
+
+    ground_truth = iio.imread(SCREENSHOTS_DIR.joinpath(f"{prefix}nb-{name}.png"))
 
     img = normalize_image(data)
     ref_img = normalize_image(ground_truth)
@@ -140,9 +150,14 @@ def get_diffs_rgba(slicer):
             diffs_rgba = diffs_rgba.astype("u1")
         return diffs_rgba[..., slicer]
 
+    if fpl.IMGUI:
+        prefix = ""
+    else:
+        prefix = "no-imgui-"
+
     # split into an rgb and an alpha diff
     diffs = {
-        DIFFS_DIR.joinpath(f"nb-diff-{name}-rgb.png"): slice(0, 3),
+        DIFFS_DIR.joinpath(f"{prefix}nb-diff-{name}-rgb.png"): slice(0, 3),
     }
 
     for path, slicer in diffs.items():
diff --git a/examples/notebooks/scatter.ipynb b/examples/notebooks/scatter.ipynb
deleted file mode 100644
index b78521064..000000000
--- a/examples/notebooks/scatter.ipynb
+++ /dev/null
@@ -1,193 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "eb204b20-160a-48ef-8ac6-54d263e497e4",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "# Scatter plots in a `GridPlot` layout with a mix of 2d an 3d cameras"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9b3041ad-d94e-4b2a-af4d-63bcd19bf6c2",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import fastplotlib as fpl"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "51f1d76a-f815-460f-a884-097fe3ea81ac",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# create a random distribution of 10,000 xyz coordinates\n",
-    "n_points = 10_000\n",
-    "\n",
-    "# if you have a good GPU go for 1.2 million points :D \n",
-    "# this is multiplied by 3\n",
-    "#n_points = 400_000\n",
-    "dims = (n_points, 3)\n",
-    "\n",
-    "offset = 15\n",
-    "\n",
-    "normal = np.random.normal(size=dims, scale=5)\n",
-    "cloud = np.vstack(\n",
-    "    [\n",
-    "        normal - offset,\n",
-    "        normal,\n",
-    "        normal + offset,\n",
-    "    ]\n",
-    ")\n",
-    "\n",
-    "colors = [\"yellow\"] * n_points + [\"cyan\"] * n_points + [\"magenta\"] * n_points"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "922990b6-24e9-4fa0-977b-6577f9752d84",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# figure with 2 rows and 2 columns\n",
-    "shape = (2, 2)\n",
-    "\n",
-    "# define the camera\n",
-    "# a mix of 2d and 3d\n",
-    "cameras = [\n",
-    "    ['2d', '3d'], \n",
-    "    ['3d', '2d']\n",
-    "]\n",
-    "\n",
-    "# pan-zoom controllers for each subplot\n",
-    "# subplots are synced if they have the\n",
-    "# same controller ID\n",
-    "# you can only sync controllers that use the same camera type\n",
-    "# i.e. you cannot sync between 2d and 3d subplots\n",
-    "controller_ids = [\n",
-    "    [0, 1],\n",
-    "    [1, 0]\n",
-    "]\n",
-    "\n",
-    "# create the figure\n",
-    "fig = fpl.Figure(\n",
-    "    shape=shape,\n",
-    "    cameras=cameras,\n",
-    "    controller_ids=controller_ids\n",
-    ")\n",
-    "\n",
-    "for subplot in fig:\n",
-    "    subplot.add_scatter(data=cloud, colors=colors, alpha=0.7, sizes=5)\n",
-    "    \n",
-    "    subplot.set_axes_visibility(True)\n",
-    "    subplot.set_grid_visibility(True)\n",
-    "\n",
-    "\n",
-    "fig.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7b912961-f72e-46ef-889f-c03234831059",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fig[0, 1].graphics[0].colors[n_points:int(n_points * 1.5)] = \"r\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c6085806-c001-4632-ab79-420b4692693a",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fig[0, 1].graphics[0].colors[:n_points:10] = \"blue\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6f416825-df31-4e5d-b66b-07f23b48e7db",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fig[0, 1].graphics[0].colors[n_points:] = \"green\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c0fd611e-73e5-49e6-a25c-9d5b64afa5f4",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fig[0, 1].graphics[0].colors[n_points:, -1] = 0"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "cd390542-3a44-4973-8172-89e5583433bc",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fig[0, 1].graphics[0].data[:n_points] = fig[0, 1].graphics[0].data[n_points * 2:]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a18e7a17-c2af-4674-a499-bf5f3b27c8ca",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/examples/notebooks/scatter_sizes_animation.ipynb b/examples/notebooks/scatter_sizes_animation.ipynb
deleted file mode 100644
index 0cd301fb1..000000000
--- a/examples/notebooks/scatter_sizes_animation.ipynb
+++ /dev/null
@@ -1,61 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from time import time\n",
-    "\n",
-    "import numpy as np\n",
-    "import fastplotlib as fpl\n",
-    "\n",
-    "fig = fpl.Figure()\n",
-    "\n",
-    "points = np.array([[-1,0,1],[-1,0,1]], dtype=np.float32).swapaxes(0,1)\n",
-    "size_delta_scales = np.array([10, 40, 100], dtype=np.float32)\n",
-    "min_sizes = 6\n",
-    "\n",
-    "\n",
-    "def update_positions(subplot):\n",
-    "    g = subplot.graphics[0]\n",
-    "    g.data[:, :-1] += np.sin(((time() / 4))*np.pi)\n",
-    "\n",
-    "\n",
-    "def update_sizes(subplot):\n",
-    "    sin_sample = np.abs(np.sin((time() / 1)*np.pi))\n",
-    "    size_delta = sin_sample * size_delta_scales\n",
-    "    subplot.graphics[0].sizes = size_delta\n",
-    "\n",
-    "\n",
-    "scatter = fig[0, 0].add_scatter(points, colors=[\"red\", \"green\", \"blue\"], sizes=12)\n",
-    "fig[0, 0].add_animations(update_positions, update_sizes)\n",
-    "\n",
-    "fig[0, 0].camera.width = 12\n",
-    "fig.show(autoscale=False)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/examples/notebooks/scatter_sizes_grid.ipynb b/examples/notebooks/scatter_sizes_grid.ipynb
deleted file mode 100644
index 21985f189..000000000
--- a/examples/notebooks/scatter_sizes_grid.ipynb
+++ /dev/null
@@ -1,82 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"\n",
-    "Scatter Plot\n",
-    "============\n",
-    "Example showing point size change for scatter plot.\n",
-    "\"\"\"\n",
-    "\n",
-    "# test_example = true\n",
-    "import numpy as np\n",
-    "import fastplotlib as fpl\n",
-    "\n",
-    "# figure with 2 rows and 3 columns\n",
-    "shape = (2, 1)\n",
-    "\n",
-    "# you can give string names for each subplot\n",
-    "names = [\n",
-    "    [\"scalar_size\"],\n",
-    "    [\"array_size\"]\n",
-    "]\n",
-    "\n",
-    "# Create the figure\n",
-    "fig = fpl.Figure(\n",
-    "    shape=shape,\n",
-    "    names=names,\n",
-    "    size=(1000, 1000)\n",
-    ")\n",
-    "\n",
-    "# get y_values using sin function\n",
-    "angles = np.arange(0, 20*np.pi+0.001, np.pi / 20)\n",
-    "y_values = 30*np.sin(angles) # 1 thousand points\n",
-    "x_values = np.array([x for x in range(len(y_values))], dtype=np.float32)\n",
-    "\n",
-    "data = np.column_stack([x_values, y_values])\n",
-    "\n",
-    "fig[\"scalar_size\"].add_scatter(data=data, sizes=5, colors=\"blue\") # add a set of scalar sizes\n",
-    "\n",
-    "non_scalar_sizes = np.abs((y_values / np.pi)) # ensure minimum size of 5\n",
-    "fig[\"array_size\"].add_scatter(data=data, sizes=non_scalar_sizes, colors=\"red\")\n",
-    "\n",
-    "for subplot in fig:\n",
-    "    subplot.auto_scale(maintain_aspect=True)\n",
-    "\n",
-    "fig.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
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+version https://git-lfs.github.com/spec/v1
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+version https://git-lfs.github.com/spec/v1
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index 000000000..8f58dbc6d
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+version https://git-lfs.github.com/spec/v1
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new file mode 100644
index 000000000..b33cde5a6
--- /dev/null
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+version https://git-lfs.github.com/spec/v1
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diff --git a/examples/notebooks/screenshots/no-imgui-nb-lines.png b/examples/notebooks/screenshots/no-imgui-nb-lines.png
new file mode 100644
index 000000000..5d7e704ca
--- /dev/null
+++ b/examples/notebooks/screenshots/no-imgui-nb-lines.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 31222
diff --git a/examples/notebooks/subplots.ipynb b/examples/notebooks/subplots.ipynb
deleted file mode 100644
index c9774029f..000000000
--- a/examples/notebooks/subplots.ipynb
+++ /dev/null
@@ -1,218 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "3cfc2d9f-6a09-42f4-a47c-3ba51f1a1801",
-   "metadata": {},
-   "source": [
-    "### More in-depth on subplots with a Figure"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a635b3b3-33fa-48f0-b1cc-bf83b1e883ab",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import fastplotlib as fpl"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8de931e2-bdb3-44a3-9538-e0b3965779af",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# grid with 2 rows and 3 columns\n",
-    "shape = (2, 3)\n",
-    "\n",
-    "# pan-zoom controllers for each subplot\n",
-    "# subplots are synced if they have the\n",
-    "# same controller ID\n",
-    "controller_ids = [\n",
-    "    [0, -3, 1],  # id each controller with an integer\n",
-    "    [2, 2, -3]\n",
-    "]\n",
-    "\n",
-    "# another way to set controller_ids\n",
-    "controller_ids = [\n",
-    "    [\"subplot0\", \"subplot4\"],\n",
-    "    [\"subplot1\", \"subplot2\", \"subplot5\"],\n",
-    "]\n",
-    "\n",
-    "\n",
-    "# you can give string names for each subplot within the figure\n",
-    "names = [\n",
-    "    [\"subplot0\", \"subplot1\", \"subplot2\"],\n",
-    "    [\"subplot3\", \"subplot4\", \"subplot5\"]\n",
-    "]\n",
-    "\n",
-    "# Create the figure\n",
-    "fig = fpl.Figure(\n",
-    "    shape=shape,\n",
-    "    controller_ids=controller_ids,\n",
-    "    names=names,\n",
-    ")\n",
-    "\n",
-    "\n",
-    "# Make a random image graphic for each subplot\n",
-    "for subplot in fig:\n",
-    "    data = np.random.rand(512, 512)\n",
-    "    # create and add an ImageGraphic\n",
-    "    subplot.add_image(data=data, name=\"rand-image\")\n",
-    "    \n",
-    "\n",
-    "# Define a function to update the image graphics \n",
-    "# with new randomly generated data\n",
-    "def set_random_frame(gp):\n",
-    "    for subplot in gp:\n",
-    "        new_data = np.random.rand(512, 512)\n",
-    "        subplot[\"rand-image\"].data = new_data\n",
-    "\n",
-    "# add the animation\n",
-    "fig.add_animations(set_random_frame)\n",
-    "fig.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2867bcd6-7691-4073-91d9-9c33e8fdb896",
-   "metadata": {},
-   "source": [
-    "### Accessing subplots"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2a6f7eb5-776e-42a6-b6c2-c26009a26795",
-   "metadata": {
-    "is_executing": true
-   },
-   "outputs": [],
-   "source": [
-    "# by name\n",
-    "fig[\"subplot0\"]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "45e83bca-5a44-48ce-874f-9ae9ca444233",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# by index\n",
-    "fig[0, 0]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3272b8b3-3063-47a4-94c8-15ceeeaecc69",
-   "metadata": {},
-   "source": [
-    "## getting graphics within subplots!\n",
-    "this can be used to get graphics if they are named"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c8cf9bfd-e0cc-4173-b64e-a9f2c87bb2c6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# can access graphic directly via name\n",
-    "fig[\"subplot0\"][\"rand-image\"]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1cfd1d45-8a60-4fc1-b873-46caa966fe6f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fig[\"subplot0\"][\"rand-image\"].vmin = 0.6\n",
-    "fig[\"subplot0\"][\"rand-image\"].vmax = 0.8"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "39c8a5acbad7980b",
-   "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
-   },
-   "source": [
-    "If they are not named use .graphics"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d27af25002237db5",
-   "metadata": {
-    "collapsed": false,
-    "is_executing": true,
-    "jupyter": {
-     "outputs_hidden": false
-    }
-   },
-   "outputs": [],
-   "source": [
-    "fig[\"subplot0\"].graphics"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2299a8ae23e39c37",
-   "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
-   },
-   "source": [
-    "### positional indexing also works"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2fafe992-4783-40f2-b044-26a2835dd50a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fig[1, 0][\"rand-image\"].vim = 0.1\n",
-    "fig[1, 0][\"rand-image\"].vmax = 0.3"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/examples/notebooks/subplots_simple.ipynb b/examples/notebooks/subplots_simple.ipynb
deleted file mode 100644
index 9ff4e4284..000000000
--- a/examples/notebooks/subplots_simple.ipynb
+++ /dev/null
@@ -1,259 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "0e42f03b-9cdf-484f-b158-78b07fdf524d",
-   "metadata": {},
-   "source": [
-    "## This notebook shows how you can use more of the `fastplotlib` API to create `Graphic` objects and add them to subplots"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5171a06e-1bdc-4908-9726-3c1fd45dbb9d",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-11-26T04:01:19.120171Z",
-     "start_time": "2023-11-26T04:01:18.618087Z"
-    },
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import fastplotlib as fpl"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "86a2488f-ae1c-4b98-a7c0-18eae8013af1",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2023-11-26T04:01:19.467264Z",
-     "start_time": "2023-11-26T04:01:19.121813Z"
-    },
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# Figure of shape 2 x 3 with all controllers synced\n",
-    "fig = fpl.Figure(shape=(2, 3), controller_ids=\"sync\")\n",
-    "\n",
-    "# Make a random image graphic for each subplot\n",
-    "for subplot in fig:\n",
-    "    # create image data\n",
-    "    data = np.random.rand(512, 512)\n",
-    "    # add an image to the subplot\n",
-    "    subplot.add_image(data, name=\"rand-img\")\n",
-    "\n",
-    "# Define a function to update the image graphics with new data\n",
-    "# add_animations will pass the figure to the animation function\n",
-    "def update_data(f):\n",
-    "    for sp in f:\n",
-    "        new_data = np.random.rand(512, 512)\n",
-    "        # index the image graphic by name and set the data\n",
-    "        sp[\"rand-img\"].data = new_data\n",
-    "        \n",
-    "# add the animation function\n",
-    "fig.add_animations(update_data)\n",
-    "\n",
-    "# show the figure\n",
-    "fig.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e7801781-c3e9-490f-ab12-1cd2f480d3e9",
-   "metadata": {},
-   "source": [
-    "## Accessing subplots within `Figure`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "52163bc7-2c77-4699-b7b0-e455a0ed7584",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fig"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "17c6bc4a-5340-49f1-8597-f54528cfe915",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# positional indexing\n",
-    "# row 0 and col 0\n",
-    "fig[0, 0]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "276dfede-e9bc-4488-b9e6-3ca5cf91e4dc",
-   "metadata": {},
-   "source": [
-    "### You can get the graphics within a subplot"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "34130f12-9ef6-43b0-b929-931de8b7da25",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fig[0, 1].graphics"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "bf33f3e7-ab16-46b1-9126-f0a1ecc07541",
-   "metadata": {},
-   "source": [
-    "### and change their properties"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ef8a29a6-b19c-4e6b-a2ba-fb4823c01451",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fig[0, 1].graphics[0].vmax = 0.5"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "00506fa1-2dc0-4435-96a0-e50667d3174f",
-   "metadata": {},
-   "source": [
-    "### more indexing"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d6c2fa4b-c634-4dcf-8b61-f1986f7c4918",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# you can give subplots human-readable string names\n",
-    "fig[0, 2].name = \"top-right-plot\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2f6b549c-3165-496d-98aa-45b96c3de674",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fig[\"top-right-plot\"]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "be436e04-33a6-4597-8e6a-17e1e5225419",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# view its position\n",
-    "fig[\"top-right-plot\"].position"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6699cda6-af86-4258-87f5-1832f989a564",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# these are really the same\n",
-    "fig[\"top-right-plot\"] is fig[0, 2]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "aac2f6bf-a641-4c86-a3d2-2cb7906ba914",
-   "metadata": {},
-   "source": [
-    "Indexing with subplot name and graphic name"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "545b627b-d794-459a-a75a-3fde44f0ea95",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fig[\"top-right-plot\"][\"rand-img\"].vmin = 0.5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "36432d5b-b76c-4a2a-a32c-097faf5ab269",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fig.close()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b507b723-1371-44e7-aa6d-6aeb3196b27d",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/examples/notebooks/test_gc.ipynb b/examples/notebooks/test_gc.ipynb
index 57d7bb576..df08e7a2d 100644
--- a/examples/notebooks/test_gc.ipynb
+++ b/examples/notebooks/test_gc.ipynb
@@ -7,6 +7,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import weakref\n",
     "import fastplotlib as fpl\n",
     "import numpy as np\n",
     "import pytest"
@@ -23,7 +24,7 @@
     "    for i in range(len(plot_objects)):\n",
     "        with pytest.raises(ReferenceError) as failure:\n",
     "            plot_objects[i]\n",
-    "            pytest.fail(f\"GC failed for object: {objects[i]}\")"
+    "            pytest.fail(f\"GC failed for object: {plot_objects[i]} of type: {plot_objects[i].__class__.__name__}\")"
    ]
   },
   {
@@ -49,7 +50,15 @@
     "\n",
     "line_collection_data = [points_data[:, 1].copy() for i in range(10)]\n",
     "\n",
-    "img_data = np.random.rand(2_000, 2_000)"
+    "img_data = np.random.rand(1_000, 1_000)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2a8a92e1-70bc-41b5-9ad8-b86dab6e74eb",
+   "metadata": {},
+   "source": [
+    "# Make references to each graphic"
    ]
   },
   {
@@ -76,110 +85,144 @@
     "linear_region_sel_img = image.add_linear_region_selector(name=\"image_linear_region_sel\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "d691c3c6-0d82-4aa8-90e9-165efffda369",
+   "metadata": {},
+   "source": [
+    "# Add event handlers"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "bb2083c1-f6b7-417c-86b8-9980819917db",
+   "id": "64198fd0-edd4-4ba1-8082-a65d57b83881",
    "metadata": {},
    "outputs": [],
    "source": [
     "def feature_changed_handler(ev):\n",
-    "    pass\n",
-    "\n",
-    "\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4a86c37b-41ce-4b50-af43-ef61d36b7d81",
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "objects = list()\n",
+    "weakrefs = list() # used to make sure the real objs are garbage collected\n",
     "for subplot in fig:\n",
-    "    objects += subplot.objects\n",
-    "\n",
+    "    for obj in subplot.objects:\n",
+    "        objects.append(obj)\n",
+    "        weakrefs.append(weakref.proxy(obj))\n",
     "\n",
     "for g in objects:\n",
     "    for feature in g._features:\n",
-    "        # if isinstance(g, fpl.LineCollection):?\n",
-    "            # continue  # skip collections for now\n",
-    "            \n",
-    "        g.add_event_handler(feature_changed_handler, feature)\n",
-    "\n",
-    "fig.show()"
+    "        g.add_event_handler(feature_changed_handler, feature)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ecd09bc8-f051-4ffd-93d3-63c262064bb4",
+   "metadata": {},
+   "source": [
+    "# Show figure"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "ba9fffeb-45bd-4a0c-a941-e7c7e68f2e55",
+   "id": "11cf43c0-94fa-4e75-a85d-04a3f5c97729",
    "metadata": {},
    "outputs": [],
    "source": [
-    "fig.clear()"
+    "fig.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ad58698e-1a21-466d-b640-78500cfcb229",
+   "metadata": {},
+   "source": [
+    "# Clear fig and user-created objects list"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e33bf32d-b13a-474b-92ca-1d1e1c7b820b",
+   "id": "5849b8b3-8765-4e37-868f-6be0d127bdee",
    "metadata": {},
    "outputs": [],
    "source": [
-    "test_references(objects)"
+    "fig.clear()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8078a7d2-9bc6-48a1-896c-7e169c5bbdcf",
+   "id": "8ea2206b-2522-40c2-beba-c3a377990219",
    "metadata": {},
    "outputs": [],
    "source": [
-    "movies = [np.random.rand(100, 100, 100) for i in range(6)]\n",
-    "\n",
-    "iw = fpl.ImageWidget(movies)\n",
-    "\n",
-    "# add some events onto all the image graphics\n",
-    "for g in iw.managed_graphics:\n",
-    "    for f in g._features:\n",
-    "        g.add_event_handler(feature_changed_handler, f)\n",
-    "\n",
-    "iw.show()"
+    "objects.clear()"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "189bcd7a-40a2-4e84-abcf-c334e50f5544",
+   "id": "a7686046-65b6-4eb4-832a-7ca72c7f9bad",
    "metadata": {},
    "source": [
-    "# Test that setting new data with different dims clears old ImageGraphics"
+    "# test gc"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "38557b63-997f-433a-b744-e562e30be6ae",
+   "id": "e33bf32d-b13a-474b-92ca-1d1e1c7b820b",
    "metadata": {},
    "outputs": [],
    "source": [
-    "old_graphics = iw.managed_graphics\n",
-    "\n",
-    "new_movies = [np.random.rand(100, 200, 200) for i in range(6)]\n",
-    "\n",
-    "iw.set_data(new_movies)"
+    "test_references(weakrefs)"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "59e3c193-5672-4a66-bdca-12f1dd675d32",
+   "cell_type": "markdown",
+   "id": "4f927111-61c5-468e-8c90-b7b5338606ba",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "test_references(old_graphics)"
+    "# test for ImageWidget"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "712bb6ea-7244-4e03-8dfa-9419daa34915",
+   "id": "8078a7d2-9bc6-48a1-896c-7e169c5bbdcf",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "if fpl.IMGUI:\n",
+    "    # do image widget tests only if imgui is installed\n",
+    "    movies = [np.random.rand(100, 100, 100) for i in range(6)]\n",
+    "    \n",
+    "    iw = fpl.ImageWidget(movies)\n",
+    "    \n",
+    "    # add some events onto all the image graphics\n",
+    "    for g in iw.managed_graphics:\n",
+    "        for f in g._features:\n",
+    "            g.add_event_handler(feature_changed_handler, f)\n",
+    "    \n",
+    "    iw.show()\n",
+    "    \n",
+    "    old_graphics = [weakref.proxy(g) for g in iw.managed_graphics]\n",
+    "    \n",
+    "    # Test that setting new data with different dims clears old ImageGraphics\n",
+    "    new_movies = [np.random.rand(100, 200, 200) for i in range(6)]\n",
+    "    \n",
+    "    iw.set_data(new_movies)\n",
+    "    test_references(old_graphics)"
+   ]
   }
  ],
  "metadata": {
diff --git a/examples/qt/README.rst b/examples/qt/README.rst
new file mode 100644
index 000000000..5ff5471d5
--- /dev/null
+++ b/examples/qt/README.rst
@@ -0,0 +1,2 @@
+Qt Examples
+===========
diff --git a/examples/qt/embed.py b/examples/qt/embed.py
index a3b156021..ba20c5084 100644
--- a/examples/qt/embed.py
+++ b/examples/qt/embed.py
@@ -1,6 +1,15 @@
 """
-Use a simple Plot to display a video frame that can be updated using a QSlider
+Embed within a Qt Window
+========================
+
+When using the Qt canvas, `Figure.show()` just returns a QWidget that behaves like any other Qt widget. So you can
+embed it and do other things that you can do with ordinary QWidgets. This example use a simple Plot to display a video
+frame that can be updated using a QSlider.
 """
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'code'
+
 from PyQt6 import QtWidgets, QtCore
 import fastplotlib as fpl
 import imageio.v3 as iio
@@ -51,4 +60,7 @@ def update_frame(ix):
 main_window.show()
 
 # execute Qt app
-fpl.run()
+fpl.loop.run()
+
+# You can also use Qt interactively/in a non-blocking manner in notebooks and ipython
+# by using %gui qt and NOT calling `fpl.loop.run()`, see the user guide for more details
diff --git a/examples/qt/imagewidget.py b/examples/qt/imagewidget.py
index f82d082a0..8a5b8937c 100644
--- a/examples/qt/imagewidget.py
+++ b/examples/qt/imagewidget.py
@@ -1,6 +1,13 @@
 """
-Use ImageWidget to display one or multiple image sequences
+ImageWidget as QtWidget
+=======================
+
+This example opens multiple windows to show multiple ImageWidgets.
 """
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'code'
+
 import numpy as np
 from PyQt6 import QtWidgets
 import fastplotlib as fpl
@@ -11,22 +18,25 @@
 
 # fastplotlib and wgpu will auto-detect if Qt is imported and then use the Qt canvas
 iw = fpl.ImageWidget(images)
-iw.show()
-iw.widget.resize(800, 800)
+widget = iw.show()
+widget.resize(800, 800)
 
 # another image widget with multiple images
-images_list = [np.random.rand(100, 512, 512) for i in range(9)]
+images_list = [np.random.rand(100, 512, 512) for i in range(4)]
 
 iw_mult = fpl.ImageWidget(
     images_list,
     cmap="viridis"
 )
-iw_mult.show()
-iw_mult.widget.resize(800, 800)
+widget_multi = iw_mult.show()
+widget_multi.resize(800, 800)
 
 # image widget with rgb data
 rgb_video = iio.imread("imageio:cockatoo.mp4")
-iw_rgb = fpl.ImageWidget(rgb_video, rgb=[True])
+iw_rgb = fpl.ImageWidget(rgb_video, rgb=[True], figure_kwargs={"size": (800, 500)})
 iw_rgb.show()
 
-fpl.run()
+fpl.loop.run()
+
+# You can also use Qt interactively/in a non-blocking manner in notebooks and ipython
+# by using %gui qt and NOT calling `fpl.loop.run()`, see the user guide for more details
diff --git a/examples/qt/minimal.py b/examples/qt/minimal.py
index 0d9009ba7..0424df403 100644
--- a/examples/qt/minimal.py
+++ b/examples/qt/minimal.py
@@ -1,6 +1,15 @@
 """
-Minimal PyQt example that displays an image. Press "r" key to autoscale
+Minimal Qt
+==========
+
+Minimal PyQt example that displays an image.
+
+`Figure.show()` returns a QWidget that you can use in a Qt app just like any other QWidget!
 """
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'code'
+
 # import Qt or PySide
 from PyQt6 import QtWidgets
 import fastplotlib as fpl
@@ -9,16 +18,19 @@
 img = iio.imread("imageio:astronaut.png")
 
 # fastplotlib and wgpu will auto-detect if Qt is imported and then use the Qt canvas and Qt output context
-fig = fpl.Figure()
+figure = fpl.Figure()
 
-fig[0, 0].add_image(img)
+figure[0, 0].add_image(img)
 
 # must call fig.show() to start rendering loop and show the QWidget containing the fastplotlib figure
-qwidget = fig.show()
+qwidget = figure.show()
 
 # set QWidget initial size from image width and height
 qwidget.resize(*img.shape[:2])
 
 # execute Qt app
 # if this is part of a larger Qt QApplication, you can also call app.exec() where app is the QApplication instance
-fpl.run()
+fpl.loop.run()
+
+# You can also use Qt interactively/in a non-blocking manner in notebooks and ipython
+# by using %gui qt and NOT calling `fpl.run()`, see the user guide for more details
diff --git a/examples/desktop/scatter/README.rst b/examples/scatter/README.rst
similarity index 100%
rename from examples/desktop/scatter/README.rst
rename to examples/scatter/README.rst
diff --git a/examples/desktop/scatter/scatter.py b/examples/scatter/scatter.py
similarity index 81%
rename from examples/desktop/scatter/scatter.py
rename to examples/scatter/scatter.py
index 05dd7a99b..afb0a0b81 100644
--- a/examples/desktop/scatter/scatter.py
+++ b/examples/scatter/scatter.py
@@ -11,7 +11,7 @@
 import fastplotlib as fpl
 import numpy as np
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 # create a random distribution of 10,000 xyz coordinates
 n_points = 5_000
@@ -35,20 +35,14 @@
 # color each of them separately
 colors = ["yellow"] * n_points + ["cyan"] * n_points + ["magenta"] * n_points
 
-# create plot
-figure = fpl.Figure()
-
 # use an alpha value since this will be a lot of points
-figure[0,0].add_scatter(data=cloud, sizes=3, colors=colors, alpha=0.6)
+figure[0, 0].add_scatter(data=cloud, sizes=3, colors=colors, alpha=0.6)
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/scatter/scatter_cmap.py b/examples/scatter/scatter_cmap.py
similarity index 82%
rename from examples/desktop/scatter/scatter_cmap.py
rename to examples/scatter/scatter_cmap.py
index 0adf72509..8810e3d7b 100644
--- a/examples/desktop/scatter/scatter_cmap.py
+++ b/examples/scatter/scatter_cmap.py
@@ -11,7 +11,7 @@
 import fastplotlib as fpl
 import numpy as np
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 # create a random distribution of 10,000 xyz coordinates
 n_points = 5_000
@@ -36,18 +36,15 @@
 colors = ["yellow"] * n_points + ["cyan"] * n_points + ["magenta"] * n_points
 
 # use an alpha value since this will be a lot of points
-figure[0,0].add_scatter(data=cloud, sizes=3, colors=colors, alpha=0.6)
+figure[0, 0].add_scatter(data=cloud, sizes=3, colors=colors, alpha=0.6)
 
 figure.show()
 
-figure[0,0].graphics[0].cmap = "viridis"
+figure[0, 0].graphics[0].cmap = "viridis"
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/scatter/scatter_cmap_iris.py b/examples/scatter/scatter_cmap_iris.py
similarity index 87%
rename from examples/desktop/scatter/scatter_cmap_iris.py
rename to examples/scatter/scatter_cmap_iris.py
index 700f5c136..139554dae 100644
--- a/examples/desktop/scatter/scatter_cmap_iris.py
+++ b/examples/scatter/scatter_cmap_iris.py
@@ -13,7 +13,7 @@
 from sklearn import datasets
 
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 data = datasets.load_iris()["data"]
 
@@ -30,13 +30,9 @@
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
-
 scatter_graphic.cmap = "tab10"
 
 
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/scatter/scatter_colorslice.py b/examples/scatter/scatter_colorslice.py
similarity index 84%
rename from examples/desktop/scatter/scatter_colorslice.py
rename to examples/scatter/scatter_colorslice.py
index 3d3a3fa26..cf7472361 100644
--- a/examples/desktop/scatter/scatter_colorslice.py
+++ b/examples/scatter/scatter_colorslice.py
@@ -11,7 +11,7 @@
 import fastplotlib as fpl
 import numpy as np
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 # create a random distribution of 10,000 xyz coordinates
 n_points = 5_000
@@ -35,20 +35,13 @@
 # color each of them separately
 colors = ["yellow"] * n_points + ["cyan"] * n_points + ["magenta"] * n_points
 
-# create plot
-figure = fpl.Figure()
-
 # use an alpha value since this will be a lot of points
-figure[0,0].add_scatter(data=cloud, sizes=3, colors=colors, alpha=0.6)
+figure[0, 0].add_scatter(data=cloud, sizes=3, colors=colors, alpha=0.6)
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
 scatter_graphic = figure[0, 0].graphics[0]
 
-figure[0, 0].auto_scale()
-
 scatter_graphic.colors[0:75] = "red"
 scatter_graphic.colors[75:150] = "white"
 scatter_graphic.colors[::2] = "blue"
@@ -57,4 +50,4 @@
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/scatter/scatter_colorslice_iris.py b/examples/scatter/scatter_colorslice_iris.py
similarity index 87%
rename from examples/desktop/scatter/scatter_colorslice_iris.py
rename to examples/scatter/scatter_colorslice_iris.py
index a1e6d5318..725374ef7 100644
--- a/examples/desktop/scatter/scatter_colorslice_iris.py
+++ b/examples/scatter/scatter_colorslice_iris.py
@@ -12,7 +12,7 @@
 from sklearn import datasets
 
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 data = datasets.load_iris()["data"]
 
@@ -28,10 +28,6 @@
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
-
 scatter_graphic.colors[0:75] = "red"
 scatter_graphic.colors[75:150] = "white"
 scatter_graphic.colors[::2] = "blue"
@@ -39,4 +35,4 @@
 
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/scatter/scatter_dataslice.py b/examples/scatter/scatter_dataslice.py
similarity index 88%
rename from examples/desktop/scatter/scatter_dataslice.py
rename to examples/scatter/scatter_dataslice.py
index af2fffebd..840553237 100644
--- a/examples/desktop/scatter/scatter_dataslice.py
+++ b/examples/scatter/scatter_dataslice.py
@@ -12,7 +12,7 @@
 import numpy as np
 
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 # create a gaussian cloud of 5_000 points
 n_points = 1_000
@@ -23,19 +23,12 @@
 gaussian_cloud = np.random.multivariate_normal(mean, covariance, n_points)
 gaussian_cloud2 = np.random.multivariate_normal(mean, covariance, n_points)
 
-# create plot
-figure = fpl.Figure()
-
 # use an alpha value since this will be a lot of points
 scatter1 = figure[0,0].add_scatter(data=gaussian_cloud, sizes=3)
 scatter2 = figure[0,0].add_scatter(data=gaussian_cloud2, colors="r", sizes=3)
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
-
 scatter1.data[:500] = np.array([0 , 0, 0])
 scatter2.data[500:] = np.array([0 , 0, 0])
 
@@ -43,4 +36,4 @@
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/scatter/scatter_dataslice_iris.py b/examples/scatter/scatter_dataslice_iris.py
similarity index 89%
rename from examples/desktop/scatter/scatter_dataslice_iris.py
rename to examples/scatter/scatter_dataslice_iris.py
index 0d47c6efd..cc688eeb4 100644
--- a/examples/desktop/scatter/scatter_dataslice_iris.py
+++ b/examples/scatter/scatter_dataslice_iris.py
@@ -13,7 +13,7 @@
 from sklearn import datasets
 
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 data = datasets.load_iris()["data"]
 
@@ -24,10 +24,6 @@
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
-
 scatter_graphic.data[0] = np.array([[5, 3, 1.5]])
 scatter_graphic.data[1] = np.array([[4.3, 3.2, 1.3]])
 scatter_graphic.data[2] = np.array([[5.2, 2.7, 1.7]])
@@ -38,4 +34,4 @@
 
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/desktop/scatter/scatter_iris.py b/examples/scatter/scatter_iris.py
similarity index 88%
rename from examples/desktop/scatter/scatter_iris.py
rename to examples/scatter/scatter_iris.py
index c16a4b135..e000d5a0a 100644
--- a/examples/desktop/scatter/scatter_iris.py
+++ b/examples/scatter/scatter_iris.py
@@ -13,7 +13,7 @@
 from pathlib import Path
 import sys
 
-figure = fpl.Figure()
+figure = fpl.Figure(size=(700, 560))
 
 current_file = Path(sys.argv[0]).resolve()
 
@@ -27,12 +27,9 @@
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
-
-figure[0, 0].auto_scale()
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
\ No newline at end of file
+    fpl.loop.run()
diff --git a/examples/desktop/scatter/scatter_size.py b/examples/scatter/scatter_size.py
similarity index 90%
rename from examples/desktop/scatter/scatter_size.py
rename to examples/scatter/scatter_size.py
index bd4e2db2b..73be31f62 100644
--- a/examples/desktop/scatter/scatter_size.py
+++ b/examples/scatter/scatter_size.py
@@ -18,7 +18,7 @@
 names = [["scalar_size"], ["array_size"]]
 
 # Create the grid plot
-figure = fpl.Figure(shape=shape, names=names, size=(1000, 1000))
+figure = fpl.Figure(shape=shape, names=names, size=(700, 560))
 
 # get y_values using sin function
 angles = np.arange(0, 20 * np.pi + 0.001, np.pi / 20)
@@ -39,10 +39,9 @@
 
 figure.show()
 
-figure.canvas.set_logical_size(700, 560)
 
 # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
 # please see our docs for using fastplotlib interactively in ipython and jupyter
 if __name__ == "__main__":
     print(__doc__)
-    fpl.run()
+    fpl.loop.run()
diff --git a/examples/screenshots/gridplot.png b/examples/screenshots/gridplot.png
new file mode 100644
index 000000000..1a222affd
--- /dev/null
+++ b/examples/screenshots/gridplot.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8de769538bb435b71b33e038998b2bafa340c635211c0dfc388c7a5bf55fd36d
+size 286794
diff --git a/examples/screenshots/gridplot_non_square.png b/examples/screenshots/gridplot_non_square.png
new file mode 100644
index 000000000..45d71abb2
--- /dev/null
+++ b/examples/screenshots/gridplot_non_square.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:92f55da7e2912a68e69e212b31df760f27e72253ec234fe1dd5b5463b60061b3
+size 212647
diff --git a/examples/screenshots/heatmap.png b/examples/screenshots/heatmap.png
new file mode 100644
index 000000000..a63eb5ec8
--- /dev/null
+++ b/examples/screenshots/heatmap.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1f2f0699e01eb12c44a2dbefd1d8371b86b3b3456b28cb5f1850aed44c13f412
+size 94505
diff --git a/examples/screenshots/image_cmap.png b/examples/screenshots/image_cmap.png
new file mode 100644
index 000000000..6f7081b03
--- /dev/null
+++ b/examples/screenshots/image_cmap.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e1482ce72511bc4f815825c29fabac5dd0f2586ac4c827a220a5cecb1162be4d
+size 210019
diff --git a/examples/screenshots/image_rgb.png b/examples/screenshots/image_rgb.png
new file mode 100644
index 000000000..88beb7df3
--- /dev/null
+++ b/examples/screenshots/image_rgb.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8210ad8d1755f7819814bdaaf236738cdf1e9a0c4f77120aca4968fcd8aa8a7a
+size 239431
diff --git a/examples/screenshots/image_rgbvminvmax.png b/examples/screenshots/image_rgbvminvmax.png
new file mode 100644
index 000000000..f3ef59d84
--- /dev/null
+++ b/examples/screenshots/image_rgbvminvmax.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8ebbcc4a2e83e9733eb438fe2341f77c86579421f3fa96b6a49e94073c0ffd32
+size 48270
diff --git a/examples/screenshots/image_simple.png b/examples/screenshots/image_simple.png
new file mode 100644
index 000000000..0c7e011f4
--- /dev/null
+++ b/examples/screenshots/image_simple.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:44bc2d1fd97921fef0be45424f21513d5d978b807db8cf148dfc59c07f6e292f
+size 211333
diff --git a/examples/screenshots/image_small.png b/examples/screenshots/image_small.png
new file mode 100644
index 000000000..41a4a240e
--- /dev/null
+++ b/examples/screenshots/image_small.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+++ b/examples/screenshots/scatter_cmap_iris.png
@@ -0,0 +1,3 @@
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diff --git a/examples/screenshots/scatter_colorslice_iris.png b/examples/screenshots/scatter_colorslice_iris.png
new file mode 100644
index 000000000..e260df642
--- /dev/null
+++ b/examples/screenshots/scatter_colorslice_iris.png
@@ -0,0 +1,3 @@
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diff --git a/examples/screenshots/scatter_dataslice_iris.png b/examples/screenshots/scatter_dataslice_iris.png
new file mode 100644
index 000000000..e5f05bb74
--- /dev/null
+++ b/examples/screenshots/scatter_dataslice_iris.png
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+version https://git-lfs.github.com/spec/v1
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diff --git a/examples/screenshots/scatter_iris.png b/examples/screenshots/scatter_iris.png
new file mode 100644
index 000000000..9c452d448
--- /dev/null
+++ b/examples/screenshots/scatter_iris.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/examples/screenshots/scatter_size.png b/examples/screenshots/scatter_size.png
new file mode 100644
index 000000000..f2f036ea4
--- /dev/null
+++ b/examples/screenshots/scatter_size.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/examples/selection_tools/README.rst b/examples/selection_tools/README.rst
new file mode 100644
index 000000000..e0376d728
--- /dev/null
+++ b/examples/selection_tools/README.rst
@@ -0,0 +1,2 @@
+Selection Tools
+===============
diff --git a/examples/selection_tools/fft.py b/examples/selection_tools/fft.py
new file mode 100644
index 000000000..f249f2c11
--- /dev/null
+++ b/examples/selection_tools/fft.py
@@ -0,0 +1,101 @@
+"""
+Explore fourier transform of images
+===================================
+Example showing how to use a `RectangleSelector` to interactively reconstruct
+an image using portions of it fourier transform
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+import numpy as np
+import fastplotlib as fpl
+import imageio.v3 as iio
+
+image = iio.imread("imageio:camera.png")
+
+# compute discrete fourier transform of image
+img_fft = np.fft.fftshift(np.fft.fft2(image))
+
+# image to just visualize absolute magnitudes
+log_abs_img_fft = np.log(np.abs(img_fft + 1))
+
+# placeholders for displaying fft and inverse fft of selections
+zeros = np.zeros(image.shape)
+
+# create an ImageWidget to display all the images
+iw = fpl.ImageWidget(
+    data=[image, log_abs_img_fft, zeros, zeros, zeros, zeros],
+    names=["image", "DFT", "selected", "FFT of selected", "not-selected", "IFFT of not-selected"],
+    figure_shape=(3, 2),  # so we can see image and fft side by side
+    figure_kwargs={"size": (700, 1024)},
+    histogram_widget=False,
+)
+
+# we don't need the toolbars here, unclutter the figure
+for subplot in iw.figure:
+    subplot.toolbar = False
+
+# viridis cmap for the fft images
+iw.cmap = "viridis"
+
+# gray for the non-fft images
+iw.managed_graphics[0].cmap = "gray"
+iw.managed_graphics[3].cmap = "gray"
+iw.managed_graphics[-1].cmap = "gray"
+
+# set contrast limits based on the full DFT for the DFT-selection images
+iw.figure["selected"].graphics[0].vmin, iw.figure["selected"].graphics[0].vmax = log_abs_img_fft.min(), log_abs_img_fft.max()
+iw.figure["not-selected"].graphics[0].vmin, iw.figure["not-selected"].graphics[0].vmax = log_abs_img_fft.min(), log_abs_img_fft.max()
+
+iw.show()
+
+# create a rectangle selector
+rs = iw.managed_graphics[1].add_rectangle_selector(edge_color="w", edge_thickness=2.0)
+
+
+@rs.add_event_handler("selection")
+def update_images(ev):
+    """
+    Updates the images when the selection changes
+    """
+
+    # get the bbox of the selection
+    row_ixs, col_ixs = ev.get_selected_indices()
+    row_slice = slice(row_ixs[0], row_ixs[-1] + 1)
+    col_slice = slice(col_ixs[0], col_ixs[-1] + 1)
+
+    # fft of the selection
+    selected_fft = np.zeros(image.shape, dtype=np.complex64)
+    selected_fft[row_slice, col_slice] = img_fft[row_slice, col_slice]
+
+    # update image graphic with the current fft selection
+    iw.managed_graphics[2].data = np.log(np.abs(selected_fft + 1))
+
+    # inverse fft to reconstruct image using only the selection
+    iw.managed_graphics[3].data = np.fft.ifft2(np.fft.fftshift(selected_fft))
+    iw.managed_graphics[3].reset_vmin_vmax()
+
+    # fft of the region outside the selection
+    unselected_fft = img_fft.copy()
+    unselected_fft[row_slice, col_slice] = 0
+
+    # update image graphic with unselected fft area
+    iw.managed_graphics[4].data = np.log(np.abs(unselected_fft + 1))
+
+    # inverse fft to reconstruct image using only the unselected part of the fft
+    iw.managed_graphics[5].data = np.fft.ifft2(np.fft.fftshift(unselected_fft))
+    iw.managed_graphics[5].reset_vmin_vmax()
+
+
+# set initial selection to the center
+rs.selection = (225, 285, 225, 285)
+
+
+figure = iw.figure
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/selection_tools/linear_region_line_collection.py b/examples/selection_tools/linear_region_line_collection.py
new file mode 100644
index 000000000..76739d784
--- /dev/null
+++ b/examples/selection_tools/linear_region_line_collection.py
@@ -0,0 +1,81 @@
+"""
+LinearRegionSelectors with LineCollection
+=========================================
+
+Example showing how to use a `LinearRegionSelector` with a `LineCollection`
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+
+import fastplotlib as fpl
+import numpy as np
+
+# data to plot
+xs = np.linspace(0, 10 * np.pi, 1_000)
+sine = np.column_stack([xs, np.sin(xs)])
+cosine = np.column_stack([xs, np.cos(xs)])
+
+figure = fpl.Figure((5, 1), size=(700, 1000))
+
+# preallocated size for zoomed data
+zoomed_prealloc = 1_000
+
+# sines and cosines
+data = [sine, cosine, sine, cosine]
+
+# make line stack
+line_stack = figure[0, 0].add_line_stack(data, separation=2)
+
+# make selector
+selector = line_stack.add_linear_region_selector()
+
+# preallocate array for storing zoomed in data
+zoomed_init = np.column_stack([np.arange(zoomed_prealloc), np.zeros(zoomed_prealloc)])
+
+# populate zoomed view subplots with graphics using preallocated buffer sizes
+for i, subplot in enumerate(figure):
+    if i == 0:
+        # skip the first one
+        continue
+    # make line graphics for displaying zoomed data
+    subplot.add_line(zoomed_init, name="zoomed")
+
+
+def interpolate(subdata: np.ndarray, axis: int):
+    """1D interpolation to display within the preallocated data array"""
+    x = np.arange(0, zoomed_prealloc)
+    xp = np.linspace(0, zoomed_prealloc, subdata.shape[0])
+
+    # interpolate to preallocated size
+    return np.interp(x, xp, fp=subdata[:, axis])  # use the y-values
+
+
+@selector.add_event_handler("selection")
+def update_zoomed_subplots(ev):
+    """update the zoomed subplots"""
+    zoomed_data = ev.get_selected_data()
+
+    for i in range(len(zoomed_data)):
+        # interpolate y-vals
+        data = interpolate(zoomed_data[i], axis=1)
+        figure[i + 1, 0]["zoomed"].data[:, 1] = data
+        figure[i + 1, 0].auto_scale()
+
+
+# set initial selection so zoomed plots update
+selector.selection = (0, 4 * np.pi)
+
+# hide toolbars to reduce clutter
+for subplot in figure:
+    subplot.toolbar = False
+
+figure.show(maintain_aspect=False)
+
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/selection_tools/linear_region_selector.py b/examples/selection_tools/linear_region_selector.py
new file mode 100644
index 000000000..6fa17db38
--- /dev/null
+++ b/examples/selection_tools/linear_region_selector.py
@@ -0,0 +1,114 @@
+"""
+LinearRegionSelectors
+=====================
+
+Example showing how to use a `LinearRegionSelector` with lines. We demonstrate two use cases, a horizontal
+LinearRegionSelector which selects along the x-axis and a vertical selector which moves along the y-axis.
+
+In general, a horizontal selector on the x-axis is useful if you are displaying data where y = f(x).
+Conversely, a vertical selector that selectors along the y-axis is useful for
+displaying data where x = f(y). (ex: vertical histograms)
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+import fastplotlib as fpl
+import numpy as np
+
+# names for out subplots
+names = [
+    ["y = sine(x)", "x = sine(y), sine(y) > 0 = 0"],
+    ["zoomed sine(x)", "zoomed sine(y)"]
+]
+
+# 2 rows, 2 columns
+figure = fpl.Figure(
+    (2, 2),
+    size=(700, 560),
+    names=names,
+)
+
+# preallocated size for zoomed data
+zoomed_prealloc = 1_000
+
+# data to plot
+xs = np.linspace(0, 10 * np.pi, 1_000)
+ys = np.sin(xs)  # y = sine(x)
+
+# make sine along x axis
+sine_graphic_x = figure[0, 0].add_line(np.column_stack([xs, ys]))
+
+# x = sine(y), sine(y) > 0 = 0
+sine_y = ys
+sine_y[sine_y > 0] = 0
+
+# sine along y axis
+sine_graphic_y = figure[0, 1].add_line(np.column_stack([ys, xs]))
+
+# offset the position of the graphic to demonstrate `get_selected_data()` later
+sine_graphic_y.position_x = 50
+sine_graphic_y.position_y = 50
+
+# add linear selectors
+selector_x = sine_graphic_x.add_linear_region_selector()  # default axis is "x"
+selector_y = sine_graphic_y.add_linear_region_selector(axis="y")
+
+# preallocate array for storing zoomed in data
+zoomed_init = np.column_stack([np.arange(zoomed_prealloc), np.zeros(zoomed_prealloc)])
+
+# make line graphics for displaying zoomed data
+zoomed_x = figure[1, 0].add_line(zoomed_init)
+zoomed_y = figure[1, 1].add_line(zoomed_init)
+
+
+def interpolate(subdata: np.ndarray, axis: int):
+    """1D interpolation to display within the preallocated data array"""
+    x = np.arange(0, zoomed_prealloc)
+    xp = np.linspace(0, zoomed_prealloc, subdata.shape[0])
+
+    # interpolate to preallocated size
+    return np.interp(x, xp, fp=subdata[:, axis])  # use the y-values
+
+
+@selector_x.add_event_handler("selection")
+def set_zoom_x(ev):
+    """sets zoomed x selector data"""
+    # get the selected data
+    selected_data = ev.get_selected_data()
+    if selected_data.size == 0:
+        # no data selected
+        zoomed_x.data[:, 1] = 0
+
+    # interpolate the y-values since y = f(x)
+    zoomed_x.data[:, 1] = interpolate(selected_data, axis=1)
+    figure[1, 0].auto_scale()
+
+
+def set_zoom_y(ev):
+    """sets zoomed x selector data"""
+    # get the selected data
+    selected_data = ev.get_selected_data()
+    if selected_data.size == 0:
+        # no data selected
+        zoomed_y.data[:, 1] = 0
+
+    # interpolate the x values since this x = f(y)
+    zoomed_y.data[:, 1] = -interpolate(selected_data, axis=0)
+    figure[1, 1].auto_scale()
+
+
+# you can also add event handlers without a decorator
+selector_y.add_event_handler(set_zoom_y, "selection")
+
+# set initial selection
+selector_x.selection = selector_y.selection = (0, 4 * np.pi)
+
+
+figure.show(maintain_aspect=False)
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/selection_tools/linear_region_selectors_match_offsets.py b/examples/selection_tools/linear_region_selectors_match_offsets.py
new file mode 100644
index 000000000..b48e30f28
--- /dev/null
+++ b/examples/selection_tools/linear_region_selectors_match_offsets.py
@@ -0,0 +1,109 @@
+"""
+LinearRegionSelectors match offsets
+===================================
+
+Identical to linear region selector but with offsets for testing purposes
+"""
+
+# test_example = true
+# sphinx_gallery_pygfx_docs = 'hidden'
+
+import fastplotlib as fpl
+import numpy as np
+
+# names for out subplots
+names = [
+    ["y = sine(x)", "x = sine(y), sine(y) > 0 = 0"],
+    ["zoomed sine(x)", "zoomed sine(y)"]
+]
+
+# 2 rows, 2 columns
+figure = fpl.Figure(
+    (2, 2),
+    size=(700, 560),
+    names=names,
+)
+
+# preallocated size for zoomed data
+zoomed_prealloc = 1_000
+
+# data to plot
+xs = np.linspace(0, 10 * np.pi, 1_000)
+ys = np.sin(xs)  # y = sine(x)
+
+# make sine along x axis
+sine_graphic_x = figure[0, 0].add_line(np.column_stack([xs, ys]), offset=(10, 10, 0))
+
+# x = sine(y), sine(y) > 0 = 0
+sine_y = ys
+sine_y[sine_y > 0] = 0
+
+# sine along y axis
+sine_graphic_y = figure[0, 1].add_line(np.column_stack([ys, xs]), offset=(10, 10, 0))
+
+# offset the position of the graphic to demonstrate `get_selected_data()` later
+sine_graphic_y.position_x = 50
+sine_graphic_y.position_y = 50
+
+# add linear selectors
+selector_x = sine_graphic_x.add_linear_region_selector()  # default axis is "x"
+selector_y = sine_graphic_y.add_linear_region_selector(axis="y")
+
+# preallocate array for storing zoomed in data
+zoomed_init = np.column_stack([np.arange(zoomed_prealloc), np.zeros(zoomed_prealloc)])
+
+# make line graphics for displaying zoomed data
+zoomed_x = figure[1, 0].add_line(zoomed_init)
+zoomed_y = figure[1, 1].add_line(zoomed_init)
+
+
+def interpolate(subdata: np.ndarray, axis: int):
+    """1D interpolation to display within the preallocated data array"""
+    x = np.arange(0, zoomed_prealloc)
+    xp = np.linspace(0, zoomed_prealloc, subdata.shape[0])
+
+    # interpolate to preallocated size
+    return np.interp(x, xp, fp=subdata[:, axis])  # use the y-values
+
+
+@selector_x.add_event_handler("selection")
+def set_zoom_x(ev):
+    """sets zoomed x selector data"""
+    # get the selected data
+    selected_data = ev.get_selected_data()
+    if selected_data.size == 0:
+        # no data selected
+        zoomed_x.data[:, 1] = 0
+
+    # interpolate the y-values since y = f(x)
+    zoomed_x.data[:, 1] = interpolate(selected_data, axis=1)
+    figure[1, 0].auto_scale()
+
+
+def set_zoom_y(ev):
+    """sets zoomed x selector data"""
+    # get the selected data
+    selected_data = ev.get_selected_data()
+    if selected_data.size == 0:
+        # no data selected
+        zoomed_y.data[:, 1] = 0
+
+    # interpolate the x values since this x = f(y)
+    zoomed_y.data[:, 1] = -interpolate(selected_data, axis=0)
+    figure[1, 1].auto_scale()
+
+
+# you can also add event handlers without a decorator
+selector_y.add_event_handler(set_zoom_y, "selection")
+
+# set initial selection
+selector_x.selection = selector_y.selection = (0, 4 * np.pi)
+
+
+figure.show(maintain_aspect=False)
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/selection_tools/linear_selector.py b/examples/selection_tools/linear_selector.py
new file mode 100644
index 000000000..1edf6345c
--- /dev/null
+++ b/examples/selection_tools/linear_selector.py
@@ -0,0 +1,122 @@
+"""
+Linear Selectors
+================
+
+Example showing how to use a `LinearSelector` with lines and line collections.
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+import fastplotlib as fpl
+import numpy as np
+
+
+# create some data
+xs = np.linspace(0, 10 * np.pi, 100)
+sine = np.column_stack([xs, np.sin(xs)])
+cosine = np.column_stack([xs, np.cos(xs)])
+
+# a varying sine-cosine quilted pattern
+image_xs, image_ys = np.meshgrid(xs, xs)
+multiplier = np.linspace(0, 10, 100)
+image_data = multiplier * np.sin(image_xs) + multiplier * np.cos(image_ys)
+
+# create a figure
+figure = fpl.Figure(
+    shape=(1, 2),
+    size=(700, 560)
+)
+
+# line of a single sine wave from 0 - 10π
+line = figure[0, 0].add_line(sine, cmap="jet")
+
+# add a linear selector to the line
+line_selector = line.add_linear_selector()
+
+line_selector_text = (f"x value: {line_selector.selection / np.pi:.2f}π\n"
+                      f"y value: {line.data[0, 1]:.2f}\n"
+                      f"index: {line_selector.get_selected_index()}")
+
+# a label that will change to display line data based on the linear selector
+line_selection_label = figure[0, 0].add_text(
+    line_selector_text,
+    offset=(0., 1.75, 0.),
+    anchor="middle-left",
+    font_size=32,
+    face_color=line.colors[0],
+    outline_color="w",
+    outline_thickness=0.1,
+)
+
+
+# add an event handler using a decorator, selectors are just like other graphics
+# you can also use the .add_event_handler() method directly instead of a decorator
+# see the line collection example below for a non-decorator example
+@line_selector.add_event_handler("selection")
+def line_selector_changed(ev):
+    selection = ev.info["value"]
+    index = ev.get_selected_index()
+
+    # set text to display selection data
+    line_selection_label.text = \
+        (f"x value: {selection / np.pi:.2f}π\n"
+         f"y value: {line.data[index, 1]:.2f}\n"
+         f"index: {index}")
+
+    # set text color based on line color at selection index
+    line_selection_label.face_color = line.colors[index]
+
+
+# line stack, sine and cosine wave
+line_stack = figure[0, 1].add_line_stack([sine, cosine], colors=["magenta", "cyan"], separation=1)
+line_stack_selector = line_stack.add_linear_selector()
+
+line_stack_selector_text = (f"x value: {line_stack_selector.selection / np.pi:.2f}π\n"
+                            f"index: {line_selector.get_selected_index()}\n"
+                            f"sine y value: {line_stack[0].data[0, 1]:.2f}\n"
+                            f"cosine y value: {line_stack[1].data[0, 1]:.2f}\n")
+
+# a label that will change to display line_stack data based on the linear selector
+line_stack_selector_label = figure[0, 1].add_text(
+    line_stack_selector_text,
+    offset=(0., 7.0, 0.),
+    anchor="middle-left",
+    font_size=24,
+    face_color="w",
+)
+
+
+def line_stack_selector_changed(ev):
+    selection = ev.info["value"]
+
+    # a linear selectors one a line collection returns a
+    # list of selected indices for each graphic in the collection
+    index = ev.get_selected_index()[0]
+
+    # set text to display selection data
+    line_stack_selector_label.text = \
+        (f"x value: {selection / np.pi:.2f}π\n"
+         f"index: {index}\n"
+         f"sine y value: {line_stack[0].data[index, 1]:.2f}\n"
+         f"cosine y value: {line_stack[1].data[index, 1]:.2f}\n")
+
+
+# add an event handler, you can also use a decorator
+line_stack_selector.add_event_handler(line_stack_selector_changed, "selection")
+
+# some axes and camera zoom settings
+for subplot in [figure[0, 0], figure[0, 1]]:
+    subplot.axes.grids.xy.visible = True
+    subplot.axes.auto_grid = False
+    subplot.axes.grids.xy.major_step = (np.pi, 1)
+    subplot.axes.grids.xy.minor_step = (0, 0)
+
+
+figure.show(maintain_aspect=False)
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/selection_tools/linear_selector_image.py b/examples/selection_tools/linear_selector_image.py
new file mode 100644
index 000000000..00484aba7
--- /dev/null
+++ b/examples/selection_tools/linear_selector_image.py
@@ -0,0 +1,73 @@
+"""
+Linear Selectors Image
+======================
+
+Example showing how to use a `LinearSelector` to selector rows or columns of an image. The subplot on the right
+displays the data for the selector row and column.
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+import fastplotlib as fpl
+from imageio import v3 as iio
+
+image_data = iio.imread("imageio:coins.png")
+
+figure = fpl.Figure(
+    (1, 3),
+    size=(700, 300),
+    names=[["image", "selected row data", "selected column data"]]
+)
+
+# create an image
+image = figure[0, 0].add_image(image_data)
+
+# add a row selector
+image_row_selector = image.add_linear_selector(axis="y")
+
+# add column selector
+image_col_selector = image.add_linear_selector()
+
+# make a line to indicate row data
+line_image_row = figure[0, 1].add_line(image.data[0])
+
+# make a line to indicate column data
+line_image_col = figure[0, 2].add_line(image.data[:, 0])
+
+
+# callbacks to change the line data in subplot [0, 1]
+# to display selected row and selected column data
+def image_row_selector_changed(ev):
+    ix = ev.get_selected_index()
+    new_data = image.data[ix]
+    # set y values of line with the row data
+    line_image_row.data[:, 1] = new_data
+
+
+def image_col_selector_changed(ev):
+    ix = ev.get_selected_index()
+    new_data = image.data[:, ix]
+    # set y values of line with the column data
+    line_image_col.data[:, 1] = new_data
+
+
+# add event handlers, you can also use a decorator
+image_row_selector.add_event_handler(image_row_selector_changed, "selection")
+image_col_selector.add_event_handler(image_col_selector_changed, "selection")
+
+# programmatically set the selection or drag it with your mouse pointer
+image_row_selector.selection = 200
+image_col_selector.selection = 180
+
+figure.show()
+
+for subplot in figure:
+    subplot.camera.zoom = 0.5
+
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/selection_tools/rectangle_selector.py b/examples/selection_tools/rectangle_selector.py
new file mode 100644
index 000000000..850937f7a
--- /dev/null
+++ b/examples/selection_tools/rectangle_selector.py
@@ -0,0 +1,66 @@
+"""
+Rectangle Selectors
+===================
+
+Example showing how to use a `RectangleSelector` with line collections
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+import numpy as np
+import fastplotlib as fpl
+from itertools import product
+
+# create a figure
+figure = fpl.Figure(
+    size=(700, 560)
+)
+
+
+# generate some data
+def make_circle(center, radius: float, n_points: int = 75) -> np.ndarray:
+    theta = np.linspace(0, 2 * np.pi, n_points)
+    xs = radius * np.sin(theta)
+    ys = radius * np.cos(theta)
+
+    return np.column_stack([xs, ys]) + center
+
+
+spatial_dims = (50, 50)
+
+circles = list()
+for center in product(range(0, spatial_dims[0], 9), range(0, spatial_dims[1], 9)):
+    circles.append(make_circle(center, 3, n_points=75))
+
+pos_xy = np.vstack(circles)
+
+# add image
+line_collection = figure[0, 0].add_line_collection(circles, cmap="jet", thickness=5)
+
+# add rectangle selector to image graphic
+rectangle_selector = line_collection.add_rectangle_selector()
+
+
+# add event handler to highlight selected indices
+@rectangle_selector.add_event_handler("selection")
+def color_indices(ev):
+    line_collection.cmap = "jet"
+    ixs = ev.get_selected_indices()
+
+    # iterate through each of the selected indices, if the array size > 0 that mean it's under the selection
+    selected_line_ixs = [i for i in range(len(ixs)) if ixs[i].size > 0]
+    line_collection[selected_line_ixs].colors = "w"
+
+
+# manually move selector to make a nice gallery image :D
+rectangle_selector.selection = (15, 30, 15, 30)
+
+
+figure.show()
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/selection_tools/rectangle_selector_zoom.py b/examples/selection_tools/rectangle_selector_zoom.py
new file mode 100644
index 000000000..33ba2ae2a
--- /dev/null
+++ b/examples/selection_tools/rectangle_selector_zoom.py
@@ -0,0 +1,53 @@
+"""
+Rectangle Selectors Images
+==========================
+
+Example showing how to use a `RectangleSelector` with images
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+import imageio.v3 as iio
+import fastplotlib as fpl
+
+# create a figure
+figure = fpl.Figure(
+    shape=(2, 1),
+    size=(700, 560)
+)
+
+# add image
+image_graphic = figure[0, 0].add_image(data=iio.imread("imageio:camera.png"))
+
+# add rectangle selector to image graphic
+rectangle_selector = image_graphic.add_rectangle_selector()
+
+# add a zoomed plot of the selected data
+zoom_ig = figure[1, 0].add_image(rectangle_selector.get_selected_data())
+
+
+# add event handler to update the data of the zoomed image as the selection changes
+@rectangle_selector.add_event_handler("selection")
+def update_data(ev):
+    # get the new data
+    new_data = ev.get_selected_data()
+
+    # remove the old zoomed image graphic
+    global zoom_ig
+
+    figure[1, 0].remove_graphic(zoom_ig)
+
+    # add new zoomed image of new data
+    zoom_ig = figure[1, 0].add_image(data=new_data)
+
+    # autoscale the plot
+    figure[1, 0].auto_scale()
+
+figure.show()
+
+# NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
+# please see our docs for using fastplotlib interactively in ipython and jupyter
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.loop.run()
diff --git a/examples/tests/test_examples.py b/examples/tests/test_examples.py
index c08df9005..67519187b 100644
--- a/examples/tests/test_examples.py
+++ b/examples/tests/test_examples.py
@@ -2,13 +2,18 @@
 Test that examples run without error.
 """
 
+import sys
 import importlib
 import runpy
 import pytest
 import os
 import numpy as np
 import imageio.v3 as iio
+import pygfx
+import fastplotlib as fpl
 
+MAX_TEXTURE_SIZE = 2048
+pygfx.renderers.wgpu.set_wgpu_limits(**{"max-texture-dimension-2d": MAX_TEXTURE_SIZE})
 
 from .testutils import (
     ROOT,
@@ -31,9 +36,21 @@
 examples_to_test = find_examples(query="# test_example = true")
 
 
+def check_skip_imgui(module):
+    # skip any imgui or ImageWidget tests
+    with open(module, "r") as f:
+        contents = f.read()
+        if "ImageWidget" in contents:
+            pytest.skip("skipping ImageWidget tests since they require imgui")
+        elif "imgui" in contents or "imgui_bundle" in contents:
+            pytest.skip("skipping tests that require imgui")
+
+
 @pytest.mark.parametrize("module", examples_to_run, ids=lambda x: x.stem)
 def test_examples_run(module, force_offscreen):
     """Run every example marked to see if they run without error."""
+    if not fpl.IMGUI:
+        check_skip_imgui(module)
 
     runpy.run_path(module, run_name="__main__")
 
@@ -54,19 +71,50 @@ def test_that_we_are_on_lavapipe():
         assert is_lavapipe
 
 
+def import_from_path(module_name, filename):
+    spec = importlib.util.spec_from_file_location(module_name, filename)
+    module = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(module)
+
+    # With this approach the module is not added to sys.modules, which
+    # is great, because that way the gc can simply clean up when we lose
+    # the reference to the module
+    assert module.__name__ == module_name
+    assert module_name not in sys.modules
+
+    return module
+
+
 @pytest.mark.parametrize("module", examples_to_test, ids=lambda x: x.stem)
 def test_example_screenshots(module, force_offscreen):
     """Make sure that every example marked outputs the expected."""
-    # (relative) module name from project root
-    module_name = (
-        module.relative_to(ROOT / "examples")
-        .with_suffix("")
-        .as_posix()
-        .replace("/", ".")
-    )
+
+    if not fpl.IMGUI:
+        # skip any imgui or ImageWidget tests
+        check_skip_imgui(module)
 
     # import the example module
-    example = importlib.import_module(module_name)
+    example = import_from_path(module.stem, module)
+
+    if fpl.IMGUI:
+        # there doesn't seem to be a resize event for the manual offscreen canvas
+        example.figure.imgui_renderer._backend.io.display_size = example.figure.canvas.get_logical_size()
+        # run this once so any edge widgets set their sizes and therefore the subplots get the correct rect
+        # hacky but it works for now
+        example.figure.imgui_renderer.render()
+
+    # render each subplot
+    for subplot in example.figure:
+        subplot.viewport.render(subplot.scene, subplot.camera)
+        for dock in subplot.docks.values():
+            dock.set_viewport_rect()
+
+    # flush pygfx renderer
+    example.figure.renderer.flush()
+
+    if fpl.IMGUI:
+        # render imgui
+        example.figure.imgui_renderer.render()
 
     # render a frame
     img = np.asarray(example.figure.renderer.target.draw())
@@ -78,7 +126,13 @@ def test_example_screenshots(module, force_offscreen):
     if not os.path.exists(screenshots_dir):
         os.mkdir(screenshots_dir)
 
-    screenshot_path = screenshots_dir / f"{module.stem}.png"
+    # test screenshots for both imgui and non-gui installs
+    if not fpl.IMGUI:
+        prefix = "no-imgui-"
+    else:
+        prefix = ""
+
+    screenshot_path = screenshots_dir / f"{prefix}{module.stem}.png"
 
     black = np.zeros(img.shape).astype(np.uint8)
     black[:, :, -1] = 255
@@ -104,7 +158,7 @@ def test_example_screenshots(module, force_offscreen):
     rgb = normalize_image(rgb)
     ref_img = normalize_image(ref_img)
 
-    similar, rmse = image_similarity(rgb, ref_img, threshold=0.025)
+    similar, rmse = image_similarity(rgb, ref_img, threshold=0.05)
 
     update_diffs(module.stem, similar, rgb, ref_img)
     assert similar, (
diff --git a/examples/tests/testutils.py b/examples/tests/testutils.py
index 22747ce08..f72a87123 100644
--- a/examples/tests/testutils.py
+++ b/examples/tests/testutils.py
@@ -11,19 +11,22 @@
 
 
 ROOT = Path(__file__).parents[2]  # repo root
-examples_dir = ROOT / "examples" / "desktop"
+examples_dir = ROOT / "examples"
 screenshots_dir = examples_dir / "screenshots"
 diffs_dir = examples_dir / "diffs"
 
 # examples live in themed sub-folders
 example_globs = [
     "image/*.py",
+    "image_widget/*.py",
     "heatmap/*.py",
     "scatter/*.py",
     "line/*.py",
     "line_collection/*.py",
     "gridplot/*.py",
-    "misc/*.py"
+    "misc/*.py",
+    "selection_tools/*.py",
+    "guis/*.py",
 ]
 
 
@@ -31,7 +34,7 @@ def get_wgpu_backend():
     """
     Query the configured wgpu backend driver.
     """
-    code = "import wgpu.utils; info = wgpu.utils.get_default_device().adapter.request_adapter_info(); print(info['adapter_type'], info['backend_type'])"
+    code = "import wgpu.utils; info = wgpu.utils.get_default_device().adapter.info; print(info['adapter_type'], info['backend_type'])"
     result = subprocess.run(
         [
             sys.executable,
diff --git a/fastplotlib/VERSION b/fastplotlib/VERSION
index 0ea3a944b..0d91a54c7 100644
--- a/fastplotlib/VERSION
+++ b/fastplotlib/VERSION
@@ -1 +1 @@
-0.2.0
+0.3.0
diff --git a/fastplotlib/__init__.py b/fastplotlib/__init__.py
index 8b46dcc0b..7eb9554e8 100644
--- a/fastplotlib/__init__.py
+++ b/fastplotlib/__init__.py
@@ -1,10 +1,20 @@
 from pathlib import Path
 
-from .utils.gui import run  # noqa
+# this must be the first import for auto-canvas detection
+from .utils import loop  # noqa
 from .graphics import *
 from .graphics.selectors import *
+from .graphics.utils import pause_events
 from .legends import *
-from .layouts import Figure
+from .tools import *
+
+from .layouts import IMGUI
+
+if IMGUI:
+    # default to imgui figure if imgui_bundle is installed
+    from .layouts import ImguiFigure as Figure
+else:
+    from .layouts import Figure
 
 from .widgets import ImageWidget
 from .utils import config, enumerate_adapters, select_adapter, print_wgpu_report
@@ -14,7 +24,9 @@
     __version__ = f.read().split("\n")[0]
 
 if len(enumerate_adapters()) < 1:
-    raise IndexError(
+    from warnings import warn
+
+    warn(
         f"WGPU could not enumerate any adapters, fastplotlib will not work.\n"
         f"This is caused by one of the following:\n"
         f"1. You do not have a hardware GPU installed and you do not have "
@@ -25,5 +37,6 @@
         f"common in cloud computing environments.\n"
         f"These two links can help you troubleshoot:\n"
         f"https://wgpu-py.readthedocs.io/en/stable/start.html#platform-requirements\n"
-        f"https://fastplotlib.readthedocs.io/en/latest/user_guide/gpu.html\n"
+        f"https://fastplotlib.readthedocs.io/en/latest/user_guide/gpu.html\n",
+        RuntimeWarning,
     )
diff --git a/fastplotlib/graphics/_axes.py b/fastplotlib/graphics/_axes.py
new file mode 100644
index 000000000..9541dceeb
--- /dev/null
+++ b/fastplotlib/graphics/_axes.py
@@ -0,0 +1,656 @@
+import numpy as np
+
+import pygfx
+from pylinalg import quat_from_vecs, vec_transform_quat
+
+
+GRID_PLANES = ["xy", "xz", "yz"]
+
+CANONICAL_BAIS = np.array([[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]])
+
+
+# very thin subclass that just adds GridMaterial properties to this world object for easier user control
+class Grid(pygfx.Grid):
+    @property
+    def major_step(self) -> tuple[float, float]:
+        """The step distance between the major grid lines."""
+        return self.material.major_step
+
+    @major_step.setter
+    def major_step(self, step: tuple[float, float]):
+        self.material.major_step = step
+
+    @property
+    def minor_step(self) -> tuple[float, float]:
+        """The step distance between the minor grid lines."""
+        return self.material.minor_step
+
+    @minor_step.setter
+    def minor_step(self, step: tuple[float, float]):
+        self.material.minor_step = step
+
+    @property
+    def axis_thickness(self) -> float:
+        """The thickness of the axis lines."""
+        return self.material.axis_thickness
+
+    @axis_thickness.setter
+    def axis_thickness(self, thickness: float):
+        self.material.axis_thickness = thickness
+
+    @property
+    def major_thickness(self) -> float:
+        """The thickness of the major grid lines."""
+        return self.material.major_thickness
+
+    @major_thickness.setter
+    def major_thickness(self, thickness: float):
+        self.material.major_thickness = thickness
+
+    @property
+    def minor_thickness(self) -> float:
+        """The thickness of the minor grid lines."""
+        return self.material.minor_thickness
+
+    @minor_thickness.setter
+    def minor_thickness(self, thickness: float):
+        self.material.minor_thickness = thickness
+
+    @property
+    def thickness_space(self) -> str:
+        """The coordinate space in which the thicknesses are expressed.
+
+        See :obj:`pygfx.utils.enums.CoordSpace`:
+        """
+        return self.material.thickness_space
+
+    @thickness_space.setter
+    def thickness_space(self, value: str):
+        self.material.thickness_space = value
+
+    @property
+    def axis_color(self) -> str:
+        """The color of the axis lines."""
+        return self.material.axis_color
+
+    @axis_color.setter
+    def axis_color(self, color: str):
+        self.material.axis_color = color
+
+    @property
+    def major_color(self) -> str:
+        """The color of the major grid lines."""
+        return self.material.major_color
+
+    @major_color.setter
+    def major_color(self, color: str):
+        self.material.major_color = color
+
+    @property
+    def minor_color(self) -> str:
+        """The color of the minor grid lines."""
+        return self.material.minor_color
+
+    @minor_color.setter
+    def minor_color(self, color: str):
+        self.material.minor_color = color
+
+    @property
+    def infinite(self) -> bool:
+        """Whether the grid is infinite.
+
+        If not infinite, the grid is 1x1 in world space, scaled, rotated, and
+        positioned with the object's transform.
+
+        (Infinite grids are not actually infinite. Rather they move along with
+        the camera, and are sized based on the distance between the camera and
+        the grid.)
+        """
+        return self.material.infinite
+
+    @infinite.setter
+    def infinite(self, value: str):
+        self.material.infinite = value
+
+
+class Grids(pygfx.Group):
+    """Just a class to make accessing the grids easier"""
+
+    def __init__(self, *, xy, xz, yz):
+        super().__init__()
+
+        self._xy = xy
+        self._xz = xz
+        self._yz = yz
+
+        self.add(xy, xz, yz)
+
+    @property
+    def xy(self) -> Grid:
+        """xy grid"""
+        return self._xy
+
+    @property
+    def xz(self) -> Grid:
+        """xz grid"""
+        return self._xz
+
+    @property
+    def yz(self) -> Grid:
+        """yz grid"""
+        return self._yz
+
+
+class Ruler(pygfx.Ruler):
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self.tick_text_mapper = None
+        self.font_size = 14
+
+    def _update_sub_objects(self, ticks, tick_auto_step):
+        """Update the sub-objects to show the given ticks."""
+        assert isinstance(ticks, dict)
+
+        tick_size = 5
+        min_n_slots = 8  # todo: can be (much) higher when we use a single text object!
+
+        # Load config
+        start_pos = self._start_pos
+        end_pos = self._end_pos
+        start_value = self._start_value
+        end_value = self.end_value
+
+        # Derive some more variables
+        length = end_value - start_value
+        vec = end_pos - start_pos
+        if length:
+            vec /= length
+
+        # Get array to store positions
+        n_slots = self.points.geometry.positions.nitems
+        n_positions = len(ticks) + 2
+        if n_positions <= n_slots <= max(min_n_slots, 2 * n_positions):
+            # Re-use existing buffers
+            positions = self.points.geometry.positions.data
+            sizes = self.points.geometry.sizes.data
+            self.points.geometry.positions.update_range()
+            self.points.geometry.sizes.update_range()
+        else:
+            # Allocate new buffers
+            new_n_slots = max(min_n_slots, int(n_positions * 1.2))
+            positions = np.zeros((new_n_slots, 3), np.float32)
+            sizes = np.zeros((new_n_slots,), np.float32)
+            self.points.geometry.positions = pygfx.Buffer(positions)
+            self.points.geometry.sizes = pygfx.Buffer(sizes)
+            # Allocate text objects
+            while len(self._text_object_pool) < new_n_slots:
+                ob = pygfx.Text(
+                    pygfx.TextGeometry("", screen_space=True, font_size=self.font_size),
+                    pygfx.TextMaterial(aa=False),
+                )
+                self._text_object_pool.append(ob)
+            self._text_object_pool[new_n_slots:] = []
+            # Reset children
+            self.clear()
+            self.add(self._line, self._points, *self._text_object_pool)
+
+        def define_text(pos, text):
+            if self.tick_text_mapper is not None and text != "":
+                text = self.tick_text_mapper(text)
+
+            ob = self._text_object_pool[index]
+            ob.geometry.anchor = self._text_anchor
+            ob.geometry.anchor_offset = self._text_anchor_offset
+            ob.geometry.set_text(text)
+            ob.local.position = pos
+
+        # Apply start point
+        index = 0
+        positions[0] = start_pos
+        if self._ticks_at_end_points:
+            sizes[0] = tick_size
+            define_text(start_pos, f"{self._start_value:0.4g}")
+        else:
+            sizes[0] = 0
+            define_text(start_pos, f"")
+
+        # Collect ticks
+        index += 1
+        for value, text in ticks.items():
+            pos = start_pos + vec * (value - start_value)
+            positions[index] = pos
+            sizes[index] = tick_size
+            define_text(pos, text)
+            index += 1
+
+        # Handle end point, and nullify remaining slots
+        positions[index:] = end_pos
+        sizes[index:] = 0
+        for ob in self._text_object_pool[index:]:
+            ob.geometry.set_text("")
+
+        # Show last tick?
+        if self._ticks_at_end_points:
+            sizes[index] = tick_size
+            define_text(end_pos, f"{end_value:0.4g}")
+
+        # Hide the ticks close to the ends?
+        if self._ticks_at_end_points and ticks:
+            tick_values = list(ticks.keys())
+            if abs(tick_values[0] - start_value) < 0.5 * tick_auto_step:
+                self._text_object_pool[1].geometry.set_text("")
+            if abs(tick_values[-1] - end_value) < 0.5 * tick_auto_step:
+                self._text_object_pool[index - 1].geometry.set_text("")
+
+
+class Axes:
+    def __init__(
+        self,
+        plot_area,
+        intersection: tuple[int, int, int] | None = None,
+        x_kwargs: dict = None,
+        y_kwargs: dict = None,
+        z_kwargs: dict = None,
+        grids: bool = True,
+        grid_kwargs: dict = None,
+        auto_grid: bool = True,
+        offset: np.ndarray = np.array([0.0, 0.0, 0.0]),
+        basis: np.ndarray = np.array(
+            [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]]
+        ),
+    ):
+        self._plot_area = plot_area
+
+        if x_kwargs is None:
+            x_kwargs = dict()
+
+        if y_kwargs is None:
+            y_kwargs = dict()
+
+        if z_kwargs is None:
+            z_kwargs = dict()
+
+        x_kwargs = {
+            "tick_side": "right",
+            **x_kwargs,
+        }
+
+        y_kwargs = {"tick_side": "left", **y_kwargs}
+
+        z_kwargs = {
+            "tick_side": "left",
+            **z_kwargs,
+        }
+
+        # create ruler for each dim
+        self._x = Ruler(**x_kwargs)
+        self._y = Ruler(**y_kwargs)
+        self._z = Ruler(**z_kwargs)
+
+        self._offset = offset
+
+        # *MUST* instantiate some start and end positions for the rulers else kernel crashes immediately
+        # probably a WGPU rust panic
+        self.x.start_pos = 0, 0, 0
+        self.x.end_pos = 100, 0, 0
+        self.x.start_value = self.x.start_pos[0] - offset[0]
+        statsx = self.x.update(
+            self._plot_area.camera, self._plot_area.viewport.logical_size
+        )
+
+        self.y.start_pos = 0, 0, 0
+        self.y.end_pos = 0, 100, 0
+        self.y.start_value = self.y.start_pos[1] - offset[1]
+        statsy = self.y.update(
+            self._plot_area.camera, self._plot_area.viewport.logical_size
+        )
+
+        self.z.start_pos = 0, 0, 0
+        self.z.end_pos = 0, 0, 100
+        self.z.start_value = self.z.start_pos[1] - offset[2]
+        self.z.update(self._plot_area.camera, self._plot_area.viewport.logical_size)
+
+        # world object for the rulers + grids
+        self._world_object = pygfx.Group()
+
+        # add rulers
+        self.world_object.add(
+            self.x,
+            self.y,
+            self.z,
+        )
+
+        # set z ruler invisible for orthographic projections for now
+        if self._plot_area.camera.fov == 0:
+            # TODO: allow any orientation in the future even for orthographic projections
+            self.z.visible = False
+
+        if grid_kwargs is None:
+            grid_kwargs = dict()
+
+        grid_kwargs = {
+            "major_step": 10,
+            "minor_step": 1,
+            "thickness_space": "screen",
+            "major_thickness": 2,
+            "minor_thickness": 0.5,
+            "infinite": True,
+            **grid_kwargs,
+        }
+
+        if grids:
+            _grids = dict()
+            for plane in GRID_PLANES:
+                grid = Grid(
+                    geometry=None,
+                    material=pygfx.GridMaterial(**grid_kwargs),
+                    orientation=plane,
+                    visible=False,
+                )
+
+                _grids[plane] = grid
+
+            self._grids = Grids(**_grids)
+            self.world_object.add(self._grids)
+
+            if self._plot_area.camera.fov == 0:
+                # orthographic projection, place grids far away
+                self._grids.local.z = -1000
+
+            major_step_x, major_step_y = statsx["tick_step"], statsy["tick_step"]
+
+            self.grids.xy.material.major_step = major_step_x, major_step_y
+            self.grids.xy.material.minor_step = 0.2 * major_step_x, 0.2 * major_step_y
+
+        else:
+            self._grids = False
+
+        self._intersection = intersection
+        self._auto_grid = auto_grid
+
+        self._basis = None
+        self.basis = basis
+
+    @property
+    def world_object(self) -> pygfx.WorldObject:
+        return self._world_object
+
+    @property
+    def basis(self) -> np.ndarray:
+        """get or set the basis, shape is [3, 3]"""
+        return self._basis
+
+    @basis.setter
+    def basis(self, basis: np.ndarray):
+        if basis.shape != (3, 3):
+            raise ValueError
+
+        # apply quaternion to each of x, y, z rulers
+        for dim, cbasis, new_basis in zip(["x", "y", "z"], CANONICAL_BAIS, basis):
+            ruler: pygfx.Ruler = getattr(self, dim)
+            ruler.local.rotation = quat_from_vecs(cbasis, new_basis)
+
+    @property
+    def offset(self) -> np.ndarray:
+        """offset of the axes"""
+        return self._offset
+
+    @offset.setter
+    def offset(self, value: np.ndarray):
+        self._offset = value
+
+    @property
+    def x(self) -> Ruler:
+        """x axis ruler"""
+        return self._x
+
+    @property
+    def y(self) -> Ruler:
+        """y axis ruler"""
+        return self._y
+
+    @property
+    def z(self) -> Ruler:
+        """z axis ruler"""
+        return self._z
+
+    @property
+    def grids(self) -> Grids | bool:
+        """grids for each plane: xy, xz, yz"""
+        return self._grids
+
+    @property
+    def colors(self) -> tuple[pygfx.Color]:
+        return tuple(getattr(self, dim).line.material.color for dim in ["x", "y", "z"])
+
+    @colors.setter
+    def colors(self, colors: tuple[pygfx.Color | str]):
+        """get or set the colors for the x, y, and z rulers"""
+        if len(colors) != 3:
+            raise ValueError
+
+        for dim, color in zip(["x", "y", "z"], colors):
+            getattr(self, dim).line.material.color = color
+
+    @property
+    def auto_grid(self) -> bool:
+        """auto adjust the grid on each render cycle"""
+        return self._auto_grid
+
+    @auto_grid.setter
+    def auto_grid(self, value: bool):
+        self._auto_grid = value
+
+    @property
+    def visible(self) -> bool:
+        """set visibility of all axes elements, rulers and grids"""
+        return self._world_object.visible
+
+    @visible.setter
+    def visible(self, value: bool):
+        self._world_object.visible = value
+
+    @property
+    def intersection(self) -> tuple[float, float, float] | None:
+        return self._intersection
+
+    @intersection.setter
+    def intersection(self, intersection: tuple[float, float, float] | None):
+        """
+        intersection point of [x, y, z] rulers.
+        Set (0, 0, 0) for origin
+        Set to `None` to follow when panning through the scene with orthographic projection
+        """
+        if intersection is None:
+            self._intersection = None
+            return
+
+        if len(intersection) != 3:
+            raise ValueError(
+                "intersection must be a float of 3 elements for [x, y, z] or `None`"
+            )
+
+        self._intersection = tuple(float(v) for v in intersection)
+
+    def update_using_bbox(self, bbox):
+        """
+        Update the w.r.t. the given bbox
+
+        Parameters
+        ----------
+        bbox: np.ndarray
+            array of shape [2, 3], [[xmin, ymin, zmin], [xmax, ymax, zmax]]
+
+        """
+
+        # flip axes if camera scale is flipped
+        if self._plot_area.camera.local.scale_x < 0:
+            bbox[0, 0], bbox[1, 0] = bbox[1, 0], bbox[0, 0]
+
+        if self._plot_area.camera.local.scale_y < 0:
+            bbox[0, 1], bbox[1, 1] = bbox[1, 1], bbox[0, 1]
+
+        if self._plot_area.camera.local.scale_z < 0:
+            bbox[0, 2], bbox[1, 2] = bbox[1, 2], bbox[0, 2]
+
+        if self.intersection is None:
+            intersection = (0, 0, 0)
+        else:
+            intersection = self.intersection
+
+        self.update(bbox, intersection)
+
+    def update_using_camera(self):
+        """
+        Update the axes w.r.t the current camera state
+
+        For orthographic projections of the xy plane, it will calculate the inverse projection
+        of the screen space onto world space to determine the current range of the world space
+        to set the rulers and ticks
+
+        For perspective projections it will just use the bbox of the scene to set the rulers
+
+        """
+
+        if not self.visible:
+            return
+
+        if self._plot_area.camera.fov == 0:
+            xpos, ypos, width, height = self._plot_area.get_rect()
+            # orthographic projection, get ranges using inverse
+
+            # get range of screen space by getting the corners
+            xmin, xmax = xpos, xpos + width
+            ymin, ymax = ypos + height, ypos
+
+            # apply quaternion to account for rotation of axes
+            # xmin, _, _ = vec_transform_quat(
+            #     [xmin, ypos + height / 2, 0],
+            #     self.x.local.rotation
+            # )
+            #
+            # xmax, _, _ = vec_transform_quat(
+            #     [xmax, ypos + height / 2, 0],
+            #     self.x.local.rotation,
+            # )
+            #
+            # _, ymin, _ = vec_transform_quat(
+            #     [xpos + width / 2, ymin, 0],
+            #     self.y.local.rotation
+            # )
+            #
+            # _, ymax, _ = vec_transform_quat(
+            #     [xpos + width / 2, ymax, 0],
+            #     self.y.local.rotation
+            # )
+
+            min_vals = self._plot_area.map_screen_to_world((xmin, ymin))
+            max_vals = self._plot_area.map_screen_to_world((xmax, ymax))
+
+            if min_vals is None or max_vals is None:
+                return
+
+            world_xmin, world_ymin, _ = min_vals
+            world_xmax, world_ymax, _ = max_vals
+
+            world_zmin, world_zmax = 0, 0
+
+            bbox = np.array(
+                [
+                    [world_xmin, world_ymin, world_zmin],
+                    [world_xmax, world_ymax, world_zmax],
+                ]
+            )
+
+        else:
+            # set ruler start and end positions based on scene bbox
+            bbox = self._plot_area._fpl_graphics_scene.get_world_bounding_box()
+
+        if self.intersection is None:
+            if self._plot_area.camera.fov == 0:
+                # place the ruler close to the left and bottom edges of the viewport
+                # TODO: determine this for perspective projections
+                xscreen_10, yscreen_10 = xpos + (width * 0.1), ypos + (height * 0.9)
+                intersection = self._plot_area.map_screen_to_world(
+                    (xscreen_10, yscreen_10)
+                )
+            else:
+                # force origin since None is not supported for Persepctive projections
+                self._intersection = (0, 0, 0)
+                intersection = self._intersection
+
+        else:
+            # axes intersect at the origin
+            intersection = self.intersection
+
+        self.update(bbox, intersection)
+
+    def update(self, bbox, intersection):
+        """
+        Update the axes using the given bbox and ruler intersection point
+
+        Parameters
+        ----------
+        bbox: np.ndarray
+            array of shape [2, 3], [[xmin, ymin, zmin], [xmax, ymax, zmax]]
+
+        intersection: float, float, float
+            intersection point of the x, y, z ruler
+
+        """
+
+        world_xmin, world_ymin, world_zmin = bbox[0]
+        world_xmax, world_ymax, world_zmax = bbox[1]
+        world_x_10, world_y_10, world_z_10 = intersection
+
+        # swap min and max for each dimension if necessary
+        if self._plot_area.camera.local.scale_y < 0:
+            world_ymin, world_ymax = world_ymax, world_ymin
+            self.y.tick_side = "right"  # swap tick side
+            self.x.tick_side = "right"
+        else:
+            self.y.tick_side = "left"
+            self.x.tick_side = "right"
+
+        if self._plot_area.camera.local.scale_x < 0:
+            world_xmin, world_xmax = world_xmax, world_xmin
+            self.x.tick_side = "left"
+
+        self.x.start_pos = world_xmin, world_y_10, world_z_10
+        self.x.end_pos = world_xmax, world_y_10, world_z_10
+
+        self.x.start_value = self.x.start_pos[0] - self.offset[0]
+        statsx = self.x.update(
+            self._plot_area.camera, self._plot_area.viewport.logical_size
+        )
+
+        self.y.start_pos = world_x_10, world_ymin, world_z_10
+        self.y.end_pos = world_x_10, world_ymax, world_z_10
+
+        self.y.start_value = self.y.start_pos[1] - self.offset[1]
+        statsy = self.y.update(
+            self._plot_area.camera, self._plot_area.viewport.logical_size
+        )
+
+        if self._plot_area.camera.fov != 0:
+            self.z.start_pos = world_x_10, world_y_10, world_zmin
+            self.z.end_pos = world_x_10, world_y_10, world_zmax
+
+            self.z.start_value = self.z.start_pos[2] - self.offset[2]
+            statsz = self.z.update(
+                self._plot_area.camera, self._plot_area.viewport.logical_size
+            )
+            major_step_z = statsz["tick_step"]
+
+        if self.grids:
+            if self.auto_grid:
+                major_step_x, major_step_y = statsx["tick_step"], statsy["tick_step"]
+                self.grids.xy.major_step = major_step_x, major_step_y
+                self.grids.xy.minor_step = 0.2 * major_step_x, 0.2 * major_step_y
+
+                if self._plot_area.camera.fov != 0:
+                    self.grids.xz.major_step = major_step_x, major_step_z
+                    self.grids.xz.minor_step = 0.2 * major_step_x, 0.2 * major_step_z
+
+                    self.grids.yz.material.major_step = major_step_y, major_step_z
+                    self.grids.yz.minor_step = 0.2 * major_step_y, 0.2 * major_step_z
diff --git a/fastplotlib/graphics/_base.py b/fastplotlib/graphics/_base.py
index cab941894..a25bc7176 100644
--- a/fastplotlib/graphics/_base.py
+++ b/fastplotlib/graphics/_base.py
@@ -7,6 +7,13 @@
 import pylinalg as la
 from wgpu.gui.base import log_exception
 
+try:
+    from imgui_bundle import imgui
+except ImportError:
+    IMGUI = False
+else:
+    IMGUI = True
+
 import pygfx
 
 from ._features import (
@@ -17,6 +24,7 @@
     Rotation,
     Visible,
 )
+from ._axes import Axes
 
 HexStr: TypeAlias = str
 
@@ -42,7 +50,7 @@
 
 
 class Graphic:
-    _features = {}
+    _features: set[str] = {}
 
     def __init_subclass__(cls, **kwargs):
         # set the type of the graphic in lower case like "image", "line_collection", etc.
@@ -114,6 +122,10 @@ def __init__(
         self._visible = Visible(visible)
         self._block_events = False
 
+        self._axes: Axes = None
+
+        self._right_click_menu = None
+
     @property
     def supported_events(self) -> tuple[str]:
         """events supported by this graphic"""
@@ -177,7 +189,7 @@ def block_events(self, value: bool):
     def world_object(self) -> pygfx.WorldObject:
         """Associated pygfx WorldObject. Always returns a proxy, real object cannot be accessed directly."""
         # We use weakref to simplify garbage collection
-        return weakref.proxy(WORLD_OBJECTS[self._fpl_address])
+        return weakref.proxy(WORLD_OBJECTS[hex(id(self))])
 
     def _set_world_object(self, wo: pygfx.WorldObject):
         WORLD_OBJECTS[self._fpl_address] = wo
@@ -208,22 +220,18 @@ def event_handlers(self) -> list[tuple[str, callable, ...]]:
 
     def add_event_handler(self, *args):
         """
-        Register an event handler.
+        Register an event handler. Can also be used as a decorator.
 
         Parameters
         ----------
         callback: callable, the first argument
             Event handler, must accept a single event  argument
-        *types: list of strings
-            A list of event types, ex: "click", "data", "colors", "pointer_down"
 
-        For the available renderer event types, see
-        https://jupyter-rfb.readthedocs.io/en/stable/events.html
+        *types: strings
+            event types, ex: "click", "data", "colors", "pointer_down"
 
-        All feature support events, i.e. ``graphic.features`` will give a set of
-        all features that are evented
-
-        Can also be used as a decorator.
+            ``supported_events`` will return a tuple of all event type strings that this graphic supports.
+            See the user guide in the documentation for more information on events.
 
         Example
         -------
@@ -300,21 +308,38 @@ def _handle_event(self, callback, event: pygfx.Event):
             # for feature events
             event._target = self.world_object
 
-        if isinstance(event, pygfx.PointerEvent):
-            # map from screen to world space and data space
-            world_xy = self._plot_area.map_screen_to_world(event)
-
-            # subtract offset to map to data
-            data_xy = world_xy - self.offset
-
-            # append attributes
-            event.x_world, event.y_world = world_xy[:2]
-            event.x_data, event.y_data = data_xy[:2]
-
         with log_exception(f"Error during handling {event.type} event"):
             callback(event)
 
     def remove_event_handler(self, callback, *types):
+        """
+        remove a registered event handler
+
+        Parameters
+        ----------
+        callback: callable
+            event handler that has been added
+
+        *types: strings
+            event types that were registered with the given callback
+
+        Example
+        -------
+
+        .. code-block:: py
+
+            # define event handler
+            def my_handler(event):
+                print(event)
+
+            # add event handler
+            graphic.add_event_handler(my_handler, "pointer_up", "pointer_down")
+
+            # remove event handler
+            graphic.remove_event_handler(my_handler, "pointer_up", "pointer_down")
+
+        """
+
         # remove from our record first
         for t in types:
             for wrapper_map in self._event_handler_wrappers[t]:
@@ -331,8 +356,6 @@ def remove_event_handler(self, callback, *types):
             self._event_handlers[t].remove(callback)
             # remove callback wrapper from world object if pygfx event
             if t in PYGFX_EVENTS:
-                print("pygfx event")
-                print(wrapper)
                 self.world_object.remove_event_handler(wrapper, t)
             else:
                 feature = getattr(self, f"_{t}")
@@ -348,24 +371,23 @@ def __repr__(self):
         else:
             return rval
 
-    def __eq__(self, other):
-        # This is necessary because we use Graphics as weakref proxies
-        if not isinstance(other, Graphic):
-            raise TypeError("`==` operator is only valid between two Graphics")
-
-        if self._fpl_address == other._fpl_address:
-            return True
-
-        return False
-
-    def _fpl_cleanup(self):
+    def _fpl_prepare_del(self):
         """
         Cleans up the graphic in preparation for __del__(), such as removing event handlers from
         plot renderer, feature event handlers, etc.
 
         Optionally implemented in subclasses
         """
-        # remove event handlers
+        # remove axes if added to this graphic
+        if self._axes is not None:
+            self._plot_area.scene.remove(self._axes)
+            self._plot_area.remove_animation(self._update_axes)
+            self._axes.world_object.clear()
+
+        # signal that a deletion has been requested
+        self.deleted = True
+
+        # clear event handlers
         self.clear_event_handlers()
 
         # clear any attached event handlers and animation functions
@@ -394,13 +416,10 @@ def _fpl_cleanup(self):
 
         self.world_object._event_handlers.clear()
 
-        for n in self._features:
-            fea = getattr(self, f"_{n}")
-            fea.clear_event_handlers()
-
     def __del__(self):
-        self.deleted = True
-        del WORLD_OBJECTS[self._fpl_address]
+        # remove world object if created
+        # world object does not exist if an exception was raised during __init__ which is why this check exists
+        WORLD_OBJECTS.pop(hex(id(self)), None)
 
     def rotate(self, alpha: float, axis: Literal["x", "y", "z"] = "y"):
         """Rotate the Graphic with respect to the world.
@@ -423,3 +442,39 @@ def rotate(self, alpha: float, axis: Literal["x", "y", "z"] = "y"):
                 f"`axis` must be either `x`, `y`, or `z`. `{axis}` provided instead!"
             )
         self.rotation = la.quat_mul(rot, self.rotation)
+
+    @property
+    def axes(self) -> Axes:
+        return self._axes
+
+    def add_axes(self):
+        """Add axes onto this Graphic"""
+        if self._axes is not None:
+            raise AttributeError("Axes already added onto this graphic")
+
+        self._axes = Axes(self._plot_area, offset=self.offset, grids=False)
+        self._axes.world_object.local.rotation = self.world_object.local.rotation
+
+        self._plot_area.scene.add(self.axes.world_object)
+        self._axes.update_using_bbox(self.world_object.get_world_bounding_box())
+
+    @property
+    def right_click_menu(self):
+        return self._right_click_menu
+
+    @right_click_menu.setter
+    def right_click_menu(self, menu):
+        if not IMGUI:
+            raise ImportError(
+                "imgui is required to set right-click menus:\n"
+                "pip install imgui_bundle"
+            )
+
+        self._right_click_menu = menu
+        menu.owner = self
+
+    def _fpl_request_right_click_menu(self):
+        pass
+
+    def _fpl_close_right_click_menu(self):
+        pass
diff --git a/fastplotlib/graphics/_collection_base.py b/fastplotlib/graphics/_collection_base.py
index 2805c684d..36f83ec7a 100644
--- a/fastplotlib/graphics/_collection_base.py
+++ b/fastplotlib/graphics/_collection_base.py
@@ -1,12 +1,9 @@
+from contextlib import suppress
 from typing import Any
-import weakref
 
 import numpy as np
 
-from ._base import HexStr, Graphic
-
-# Dict that holds all collection graphics in one python instance
-COLLECTION_GRAPHICS: dict[HexStr, Graphic] = dict()
+from ._base import Graphic
 
 
 class CollectionProperties:
@@ -193,25 +190,17 @@ def __init__(self, name: str = None, metadata: Any = None, **kwargs):
         super().__init__(name=name, metadata=metadata, **kwargs)
 
         # list of mem locations of the graphics
-        self._graphics: list[str] = list()
+        self._graphics: list[Graphic] = list()
 
         self._graphics_changed: bool = True
-        self._graphics_array: np.ndarray[Graphic] = None
 
         self._iter = None
 
     @property
     def graphics(self) -> np.ndarray[Graphic]:
-        """The Graphics within this collection. Always returns a proxy to the Graphics."""
-        if self._graphics_changed:
-            proxies = [
-                weakref.proxy(COLLECTION_GRAPHICS[addr]) for addr in self._graphics
-            ]
-            self._graphics_array = np.array(proxies)
-            self._graphics_array.flags["WRITEABLE"] = False
-            self._graphics_changed = False
+        """The Graphics within this collection."""
 
-        return self._graphics_array
+        return np.asarray(self._graphics)
 
     def add_graphic(self, graphic: Graphic):
         """
@@ -231,10 +220,7 @@ def add_graphic(self, graphic: Graphic):
                 f"you are trying to add a {graphic.__class__.__name__}."
             )
 
-        addr = graphic._fpl_address
-        COLLECTION_GRAPHICS[addr] = graphic
-
-        self._graphics.append(addr)
+        self._graphics.append(graphic)
 
         self.world_object.add(graphic.world_object)
 
@@ -254,7 +240,7 @@ def remove_graphic(self, graphic: Graphic):
 
         """
 
-        self._graphics.remove(graphic._fpl_address)
+        self._graphics.remove(graphic)
 
         self.world_object.remove(graphic.world_object)
 
@@ -313,7 +299,7 @@ def _fpl_add_plot_area_hook(self, plot_area):
         for g in self:
             g._fpl_add_plot_area_hook(plot_area)
 
-    def _fpl_cleanup(self):
+    def _fpl_prepare_del(self):
         """
         Cleans up the graphic in preparation for __del__(), such as removing event handlers from
         plot renderer, feature event handlers, etc.
@@ -324,20 +310,21 @@ def _fpl_cleanup(self):
         self.world_object._event_handlers.clear()
 
         for g in self:
-            g._fpl_cleanup()
+            g._fpl_prepare_del()
 
     def __getitem__(self, key) -> CollectionIndexer:
         if np.issubdtype(type(key), np.integer):
-            addr = self._graphics[key]
-            return weakref.proxy(COLLECTION_GRAPHICS[addr])
+            return self.graphics[key]
 
         return self._indexer(selection=self.graphics[key], features=self._features)
 
     def __del__(self):
+        # detach children
         self.world_object.clear()
 
-        for addr in self._graphics:
-            del COLLECTION_GRAPHICS[addr]
+        for g in self.graphics:
+            g._fpl_prepare_del()
+            del g
 
         super().__del__()
 
@@ -350,9 +337,8 @@ def __iter__(self):
 
     def __next__(self) -> Graphic:
         index = next(self._iter)
-        addr = self._graphics[index]
 
-        return weakref.proxy(COLLECTION_GRAPHICS[addr])
+        return self._graphics[index]
 
     def __repr__(self):
         rval = super().__repr__()
diff --git a/fastplotlib/graphics/_features/__init__.py b/fastplotlib/graphics/_features/__init__.py
index e36de089e..a1915bbe9 100644
--- a/fastplotlib/graphics/_features/__init__.py
+++ b/fastplotlib/graphics/_features/__init__.py
@@ -2,6 +2,7 @@
     VertexColors,
     UniformColor,
     UniformSize,
+    SizeSpace,
     Thickness,
     VertexPositions,
     PointsSizesFeature,
@@ -14,7 +15,6 @@
     ImageVmax,
     ImageInterpolation,
     ImageCmapInterpolation,
-    WGPU_MAX_TEXTURE_SIZE,
 )
 from ._base import (
     GraphicFeature,
@@ -31,7 +31,11 @@
     TextOutlineThickness,
 )
 
-from ._selection_features import LinearSelectionFeature, LinearRegionSelectionFeature
+from ._selection_features import (
+    LinearSelectionFeature,
+    LinearRegionSelectionFeature,
+    RectangleSelectionFeature,
+)
 from ._common import Name, Offset, Rotation, Visible, Deleted
 
 
@@ -39,6 +43,7 @@
     "VertexColors",
     "UniformColor",
     "UniformSize",
+    "SizeSpace",
     "Thickness",
     "VertexPositions",
     "PointsSizesFeature",
@@ -56,6 +61,7 @@
     "TextOutlineThickness",
     "LinearSelectionFeature",
     "LinearRegionSelectionFeature",
+    "RectangleSelectionFeature",
     "Name",
     "Offset",
     "Rotation",
diff --git a/fastplotlib/graphics/_features/_base.py b/fastplotlib/graphics/_features/_base.py
index a57f8a453..1612414a1 100644
--- a/fastplotlib/graphics/_features/_base.py
+++ b/fastplotlib/graphics/_features/_base.py
@@ -9,9 +9,6 @@
 import pygfx
 
 
-WGPU_MAX_TEXTURE_SIZE = 8192
-
-
 def to_gpu_supported_dtype(array):
     """
     convert input array to float32 numpy array
diff --git a/fastplotlib/graphics/_features/_image.py b/fastplotlib/graphics/_features/_image.py
index 2d93745bf..b67bf1cd4 100644
--- a/fastplotlib/graphics/_features/_image.py
+++ b/fastplotlib/graphics/_features/_image.py
@@ -5,7 +5,7 @@
 import numpy as np
 
 import pygfx
-from ._base import GraphicFeature, FeatureEvent, WGPU_MAX_TEXTURE_SIZE
+from ._base import GraphicFeature, FeatureEvent
 
 from ...utils import (
     make_colors,
@@ -20,6 +20,9 @@ def __init__(self, data, isolated_buffer: bool = True):
 
         data = self._fix_data(data)
 
+        shared = pygfx.renderers.wgpu.get_shared()
+        self._texture_limit_2d = shared.device.limits["max-texture-dimension-2d"]
+
         if isolated_buffer:
             # useful if data is read-only, example: memmaps
             self._value = np.zeros(data.shape, dtype=data.dtype)
@@ -31,13 +34,13 @@ def __init__(self, data, isolated_buffer: bool = True):
         # data start indices for each Texture
         self._row_indices = np.arange(
             0,
-            ceil(self.value.shape[0] / WGPU_MAX_TEXTURE_SIZE) * WGPU_MAX_TEXTURE_SIZE,
-            WGPU_MAX_TEXTURE_SIZE,
+            ceil(self.value.shape[0] / self._texture_limit_2d) * self._texture_limit_2d,
+            self._texture_limit_2d,
         )
         self._col_indices = np.arange(
             0,
-            ceil(self.value.shape[1] / WGPU_MAX_TEXTURE_SIZE) * WGPU_MAX_TEXTURE_SIZE,
-            WGPU_MAX_TEXTURE_SIZE,
+            ceil(self.value.shape[1] / self._texture_limit_2d) * self._texture_limit_2d,
+            self._texture_limit_2d,
         )
 
         # buffer will be an array of textures
@@ -91,7 +94,7 @@ def _fix_data(self, data):
         if data.ndim not in (2, 3):
             raise ValueError(
                 "image data must be 2D with or without an RGB(A) dimension, i.e. "
-                "it must be of shape [x, y], [x, y, 3] or [x, y, 4]"
+                "it must be of shape [rows, cols], [rows, cols, 3] or [rows, cols, 4]"
             )
 
         # let's just cast to float32 always
@@ -118,8 +121,8 @@ def __next__(self) -> tuple[pygfx.Texture, tuple[int, int], tuple[slice, slice]]
         chunk_index = (chunk_row, chunk_col)
 
         # stop indices of big data array for this chunk
-        row_stop = min(self.value.shape[0], data_row_start + WGPU_MAX_TEXTURE_SIZE)
-        col_stop = min(self.value.shape[1], data_col_start + WGPU_MAX_TEXTURE_SIZE)
+        row_stop = min(self.value.shape[0], data_row_start + self._texture_limit_2d)
+        col_stop = min(self.value.shape[1], data_col_start + self._texture_limit_2d)
 
         # row and column slices that slice the data for this chunk from the big data array
         data_slice = (slice(data_row_start, row_stop), slice(data_col_start, col_stop))
@@ -199,8 +202,8 @@ def value(self) -> str:
 
     def set_value(self, graphic, value: str):
         new_colors = make_colors(256, value)
-        graphic._material.map.data[:] = new_colors
-        graphic._material.map.update_range((0, 0, 0), size=(256, 1, 1))
+        graphic._material.map.texture.data[:] = new_colors
+        graphic._material.map.texture.update_range((0, 0, 0), size=(256, 1, 1))
 
         self._value = value
         event = FeatureEvent(type="cmap", info={"value": value})
@@ -255,7 +258,8 @@ def set_value(self, graphic, value: str):
         self._validate(value)
 
         # common material for all image tiles
-        graphic._material.map_interpolation = value
+        graphic._material.map.min_filter = value
+        graphic._material.map.mag_filter = value
 
         self._value = value
         event = FeatureEvent(type="cmap_interpolation", info={"value": value})
diff --git a/fastplotlib/graphics/_features/_positions_graphics.py b/fastplotlib/graphics/_features/_positions_graphics.py
index ee7927a36..c4e153a31 100644
--- a/fastplotlib/graphics/_features/_positions_graphics.py
+++ b/fastplotlib/graphics/_features/_positions_graphics.py
@@ -182,6 +182,27 @@ def set_value(self, graphic, value: float | int):
         self._call_event_handlers(event)
 
 
+# manages the coordinate space for scatter/line
+class SizeSpace(GraphicFeature):
+    def __init__(self, value: str):
+        self._value = value
+        super().__init__()
+
+    @property
+    def value(self) -> str:
+        return self._value
+
+    def set_value(self, graphic, value: str):
+        if "Line" in graphic.world_object.material.__class__.__name__:
+            graphic.world_object.material.thickness_space = value
+        else:
+            graphic.world_object.material.size_space = value
+        self._value = value
+
+        event = FeatureEvent(type="size_space", info={"value": value})
+        self._call_event_handlers(event)
+
+
 class VertexPositions(BufferManager):
     """
     +----------+----------------------------------------------------------+------------------------------------------------------------------------------------------+
diff --git a/fastplotlib/graphics/_features/_selection_features.py b/fastplotlib/graphics/_features/_selection_features.py
index 71ba53425..c385f820f 100644
--- a/fastplotlib/graphics/_features/_selection_features.py
+++ b/fastplotlib/graphics/_features/_selection_features.py
@@ -1,4 +1,4 @@
-from typing import Sequence
+from typing import Sequence, Tuple
 
 import numpy as np
 
@@ -48,7 +48,7 @@ def __init__(self, axis: str, value: float, limits: tuple[float, float]):
         self._value = value
 
     @property
-    def value(self) -> float:
+    def value(self) -> np.float32:
         """
         selection, data x or y value
         """
@@ -56,7 +56,7 @@ def value(self) -> float:
 
     def set_value(self, selector, value: float):
         # clip value between limits
-        value = np.clip(value, self._limits[0], self._limits[1])
+        value = np.clip(value, self._limits[0], self._limits[1], dtype=np.float32)
 
         # set position
         if self._axis == "x":
@@ -190,3 +190,153 @@ def set_value(self, selector, value: Sequence[float]):
         # TODO: user's selector event handlers can call event.graphic.get_selected_indices() to get the data index,
         #  and event.graphic.get_selected_data() to get the data under the selection
         #  this is probably a good idea so that the data isn't sliced until it's actually necessary
+
+
+class RectangleSelectionFeature(GraphicFeature):
+    """
+    **additional event attributes:**
+
+    +----------------------+----------+------------------------------------+
+    | attribute            | type     | description                        |
+    +======================+==========+====================================+
+    | get_selected_indices | callable | returns indices under the selector |
+    +----------------------+----------+------------------------------------+
+    | get_selected_data    | callable | returns data under the selector    |
+    +----------------------+----------+------------------------------------+
+
+    **info dict:**
+
+    +----------+------------+-------------------------------------------+
+    | dict key | value type | value description                         |
+    +==========+============+===========================================+
+    | value    | np.ndarray | new [xmin, xmax, ymin, ymax] of selection |
+    +----------+------------+-------------------------------------------+
+
+    """
+
+    def __init__(
+        self,
+        value: tuple[float, float, float, float],
+        limits: tuple[float, float, float, float],
+    ):
+        super().__init__()
+
+        self._limits = limits
+        self._value = tuple(int(v) for v in value)
+
+    @property
+    def value(self) -> np.ndarray[float]:
+        """
+        (xmin, xmax, ymin, ymax) of the selection, in data space
+        """
+        return self._value
+
+    def set_value(self, selector, value: Sequence[float]):
+        """
+        Set the selection of the rectangle selector.
+
+        Parameters
+        ----------
+        selector: RectangleSelector
+
+        value: (float, float, float, float)
+            new values (xmin, xmax, ymin, ymax) of the selection
+        """
+        if not len(value) == 4:
+            raise TypeError(
+                "Selection must be an array, tuple, list, or sequence in the form of `(xmin, xmax, ymin, ymax)`, "
+                "where `xmin`, `xmax`, `ymin`, `ymax` are numeric values."
+            )
+
+        # convert to array
+        value = np.asarray(value, dtype=np.float32)
+
+        # clip values if they are beyond the limits
+        value[:2] = value[:2].clip(self._limits[0], self._limits[1])
+        # clip y
+        value[2:] = value[2:].clip(self._limits[2], self._limits[3])
+
+        xmin, xmax, ymin, ymax = value
+
+        # make sure `selector width >= 2` and selector height >=2 , left edge must not move past right edge!
+        # or bottom edge must not move past top edge!
+        if not (xmax - xmin) >= 0 or not (ymax - ymin) >= 0:
+            return
+
+        # change fill mesh
+        # change left x position of the fill mesh
+        selector.fill.geometry.positions.data[mesh_masks.x_left] = xmin
+
+        # change right x position of the fill mesh
+        selector.fill.geometry.positions.data[mesh_masks.x_right] = xmax
+
+        # change bottom y position of the fill mesh
+        selector.fill.geometry.positions.data[mesh_masks.y_bottom] = ymin
+
+        # change top position of the fill mesh
+        selector.fill.geometry.positions.data[mesh_masks.y_top] = ymax
+
+        # change the edge lines
+
+        # each edge line is defined by two end points which are stored in the
+        # geometry.positions
+        # [x0, y0, z0]
+        # [x1, y1, z0]
+
+        # left line
+        z = selector.edges[0].geometry.positions.data[:, -1][0]
+        selector.edges[0].geometry.positions.data[:] = np.array(
+            [[xmin, ymin, z], [xmin, ymax, z]]
+        )
+
+        # right line
+        selector.edges[1].geometry.positions.data[:] = np.array(
+            [[xmax, ymin, z], [xmax, ymax, z]]
+        )
+
+        # bottom line
+        selector.edges[2].geometry.positions.data[:] = np.array(
+            [[xmin, ymin, z], [xmax, ymin, z]]
+        )
+
+        # top line
+        selector.edges[3].geometry.positions.data[:] = np.array(
+            [[xmin, ymax, z], [xmax, ymax, z]]
+        )
+
+        # change the vertex positions
+
+        # bottom left
+        selector.vertices[0].geometry.positions.data[:] = np.array([[xmin, ymin, 1]])
+
+        # bottom right
+        selector.vertices[1].geometry.positions.data[:] = np.array([[xmax, ymin, 1]])
+
+        # top left
+        selector.vertices[2].geometry.positions.data[:] = np.array([[xmin, ymax, 1]])
+
+        # top right
+        selector.vertices[3].geometry.positions.data[:] = np.array([[xmax, ymax, 1]])
+
+        self._value = value
+
+        # send changes to GPU
+        selector.fill.geometry.positions.update_range()
+
+        for edge in selector.edges:
+            edge.geometry.positions.update_range()
+
+        for vertex in selector.vertices:
+            vertex.geometry.positions.update_range()
+
+        # send event
+        if len(self._event_handlers) < 1:
+            return
+
+        event = FeatureEvent("selection", {"value": self.value})
+
+        event.get_selected_indices = selector.get_selected_indices
+        event.get_selected_data = selector.get_selected_data
+
+        # calls any events
+        self._call_event_handlers(event)
diff --git a/fastplotlib/graphics/_positions_base.py b/fastplotlib/graphics/_positions_base.py
index 3727087cc..565a4cd98 100644
--- a/fastplotlib/graphics/_positions_base.py
+++ b/fastplotlib/graphics/_positions_base.py
@@ -10,6 +10,7 @@
     UniformColor,
     VertexCmap,
     PointsSizesFeature,
+    SizeSpace,
 )
 
 
@@ -54,6 +55,19 @@ def cmap(self, name: str):
 
         self._cmap[:] = name
 
+    @property
+    def size_space(self):
+        """
+        The coordinate space in which the size is expressed (‘screen’, ‘world’, ‘model’)
+
+        See https://docs.pygfx.org/stable/_autosummary/utils/utils/enums/pygfx.utils.enums.CoordSpace.html#pygfx.utils.enums.CoordSpace for available options.
+        """
+        return self._size_space.value
+
+    @size_space.setter
+    def size_space(self, value: str):
+        self._size_space.set_value(self, value)
+
     def __init__(
         self,
         data: Any,
@@ -63,6 +77,7 @@ def __init__(
         cmap: str | VertexCmap = None,
         cmap_transform: np.ndarray = None,
         isolated_buffer: bool = True,
+        size_space: str = "screen",
         *args,
         **kwargs,
     ):
@@ -132,6 +147,7 @@ def __init__(
                         self._colors, cmap_name=None, transform=None, alpha=alpha
                     )
 
+        self._size_space = SizeSpace(size_space)
         super().__init__(*args, **kwargs)
 
     def unshare_property(self, property: str):
diff --git a/fastplotlib/graphics/image.py b/fastplotlib/graphics/image.py
index 5805804c7..8b937023b 100644
--- a/fastplotlib/graphics/image.py
+++ b/fastplotlib/graphics/image.py
@@ -1,11 +1,11 @@
+import math
 from typing import *
-import weakref
 
 import pygfx
 
 from ..utils import quick_min_max
 from ._base import Graphic
-from .selectors import LinearSelector, LinearRegionSelector
+from .selectors import LinearSelector, LinearRegionSelector, RectangleSelector
 from ._features import (
     TextureArray,
     ImageCmap,
@@ -91,7 +91,7 @@ def __init__(
         ----------
         data: array-like
             array-like, usually numpy.ndarray, must support ``memoryview()``
-            | shape must be ``[x_dim, y_dim]``
+            | shape must be ``[n_rows, n_cols]``, ``[n_rows, n_cols, 3]`` for RGB or ``[n_rows, n_cols, 4]`` for RGBA
 
         vmin: int, optional
             minimum value for color scaling, calculated from data if not provided
@@ -132,27 +132,28 @@ def __init__(
         self._vmin = ImageVmin(vmin)
         self._vmax = ImageVmax(vmax)
 
-        # set cmap to None for RGB images
-        if self._data.value.ndim == 3:
+        self._interpolation = ImageInterpolation(interpolation)
+
+        # set map to None for RGB images
+        if self._data.value.ndim > 2:
             self._cmap = None
+            _map = None
         else:
+            # use TextureMap for grayscale images
             self._cmap = ImageCmap(cmap)
+            self._cmap_interpolation = ImageCmapInterpolation(cmap_interpolation)
 
-        self._interpolation = ImageInterpolation(interpolation)
-        self._cmap_interpolation = ImageCmapInterpolation(cmap_interpolation)
-
-        # use cmap if not RGB
-        if self._data.value.ndim == 2:
-            _map = self._cmap.texture
-        else:
-            _map = None
+            _map = pygfx.TextureMap(
+                self._cmap.texture,
+                filter=self._cmap_interpolation.value,
+                wrap="clamp-to-edge",
+            )
 
         # one common material is used for every Texture chunk
         self._material = pygfx.ImageBasicMaterial(
             clim=(vmin, vmax),
             map=_map,
             interpolation=self._interpolation.value,
-            map_interpolation=self._cmap_interpolation.value,
             pick_write=True,
         )
 
@@ -193,14 +194,14 @@ def data(self, data):
     @property
     def cmap(self) -> str:
         """colormap name"""
-        if self.data.value.ndim == 3:
-            raise AttributeError("RGB images do not have a colormap property")
+        if self.data.value.ndim > 2:
+            raise AttributeError("RGB(A) images do not have a colormap property")
         return self._cmap.value
 
     @cmap.setter
     def cmap(self, name: str):
-        if self.data.value.ndim == 3:
-            raise AttributeError("RGB images do not have a colormap property")
+        if self.data.value.ndim > 2:
+            raise AttributeError("RGB(A) images do not have a colormap property")
         self._cmap.set_value(self, name)
 
     @property
@@ -307,7 +308,7 @@ def add_linear_selector(
             size=size,
             center=center,
             axis=axis,
-            parent=weakref.proxy(self),
+            parent=self,
             **kwargs,
         )
 
@@ -316,7 +317,7 @@ def add_linear_selector(
         # place selector above this graphic
         selector.offset = selector.offset + (0.0, 0.0, self.offset[-1] + 1)
 
-        return weakref.proxy(selector)
+        return selector
 
     def add_linear_region_selector(
         self,
@@ -384,7 +385,49 @@ def add_linear_region_selector(
             center=center,
             axis=axis,
             fill_color=fill_color,
-            parent=weakref.proxy(self),
+            parent=self,
+            **kwargs,
+        )
+
+        self._plot_area.add_graphic(selector, center=False)
+
+        # place above this graphic
+        selector.offset = selector.offset + (0.0, 0.0, self.offset[-1] + 1)
+
+        return selector
+
+    def add_rectangle_selector(
+        self,
+        selection: tuple[float, float, float, float] = None,
+        fill_color=(0, 0, 0.35, 0.2),
+        **kwargs,
+    ) -> RectangleSelector:
+        """
+        Add a :class:`.RectangleSelector`. Selectors are just ``Graphic`` objects, so you can manage,
+        remove, or delete them from a plot area just like any other ``Graphic``.
+
+        Parameters
+        ----------
+        selection: (float, float, float, float), optional
+            initial (xmin, xmax, ymin, ymax) of the selection
+        """
+        # default selection is 25% of the diagonal
+        if selection is None:
+            diagonal = math.sqrt(
+                self._data.value.shape[0] ** 2 + self._data.value.shape[1] ** 2
+            )
+
+            selection = (0, int(diagonal / 4), 0, int(diagonal / 4))
+
+        # min/max limits are image shape
+        # rows are ys, columns are xs
+        limits = (0, self._data.value.shape[1], 0, self._data.value.shape[0])
+
+        selector = RectangleSelector(
+            selection=selection,
+            limits=limits,
+            fill_color=fill_color,
+            parent=self,
             **kwargs,
         )
 
@@ -393,4 +436,4 @@ def add_linear_region_selector(
         # place above this graphic
         selector.offset = selector.offset + (0.0, 0.0, self.offset[-1] + 1)
 
-        return weakref.proxy(selector)
+        return selector
diff --git a/fastplotlib/graphics/line.py b/fastplotlib/graphics/line.py
index d0a8cc336..8fe505ba9 100644
--- a/fastplotlib/graphics/line.py
+++ b/fastplotlib/graphics/line.py
@@ -1,17 +1,16 @@
 from typing import *
-import weakref
 
 import numpy as np
 
 import pygfx
 
 from ._positions_base import PositionsGraphic
-from .selectors import LinearRegionSelector, LinearSelector
-from ._features import Thickness
+from .selectors import LinearRegionSelector, LinearSelector, RectangleSelector
+from ._features import Thickness, SizeSpace
 
 
 class LineGraphic(PositionsGraphic):
-    _features = {"data", "colors", "cmap", "thickness"}
+    _features = {"data", "colors", "cmap", "thickness", "size_space"}
 
     def __init__(
         self,
@@ -23,6 +22,7 @@ def __init__(
         cmap: str = None,
         cmap_transform: np.ndarray | Iterable = None,
         isolated_buffer: bool = True,
+        size_space: str = "screen",
         **kwargs,
     ):
         """
@@ -54,6 +54,9 @@ def __init__(
         cmap_transform: 1D array-like of numerical values, optional
             if provided, these values are used to map the colors from the cmap
 
+        size_space: str, default "screen"
+            coordinate space in which the size is expressed (‘screen’, ‘world’, ‘model’)
+
         **kwargs
             passed to Graphic
 
@@ -67,6 +70,7 @@ def __init__(
             cmap=cmap,
             cmap_transform=cmap_transform,
             isolated_buffer=isolated_buffer,
+            size_space=size_space,
             **kwargs,
         )
 
@@ -84,10 +88,14 @@ def __init__(
                 color_mode="uniform",
                 color=self.colors,
                 pick_write=True,
+                thickness_space=self.size_space,
             )
         else:
             material = MaterialCls(
-                thickness=self.thickness, color_mode="vertex", pick_write=True
+                thickness=self.thickness,
+                color_mode="vertex",
+                pick_write=True,
+                thickness_space=self.size_space,
             )
             geometry = pygfx.Geometry(
                 positions=self._data.buffer, colors=self._colors.buffer
@@ -147,7 +155,7 @@ def add_linear_selector(
             size=size,
             center=center,
             axis=axis,
-            parent=weakref.proxy(self),
+            parent=self,
             **kwargs,
         )
 
@@ -156,7 +164,7 @@ def add_linear_selector(
         # place selector above this graphic
         selector.offset = selector.offset + (0.0, 0.0, self.offset[-1] + 1)
 
-        return weakref.proxy(selector)
+        return selector
 
     def add_linear_region_selector(
         self,
@@ -204,7 +212,7 @@ def add_linear_region_selector(
             size=size,
             center=center,
             axis=axis,
-            parent=weakref.proxy(self),
+            parent=self,
             **kwargs,
         )
 
@@ -215,7 +223,52 @@ def add_linear_region_selector(
 
         # PlotArea manages this for garbage collection etc. just like all other Graphics
         # so we should only work with a proxy on the user-end
-        return weakref.proxy(selector)
+        return selector
+
+    def add_rectangle_selector(
+        self,
+        selection: tuple[float, float, float, float] = None,
+        **kwargs,
+    ) -> RectangleSelector:
+        """
+        Add a :class:`.RectangleSelector`. Selectors are just ``Graphic`` objects, so you can manage,
+        remove, or delete them from a plot area just like any other ``Graphic``.
+
+        Parameters
+        ----------
+        selection: (float, float, float, float), optional
+            initial (xmin, xmax, ymin, ymax) of the selection
+        """
+        # computes args to create selectors
+        n_datapoints = self.data.value.shape[0]
+        value_25p = int(n_datapoints / 4)
+
+        # remove any nans
+        data = self.data.value[~np.any(np.isnan(self.data.value), axis=1)]
+
+        x_axis_vals = data[:, 0]
+        y_axis_vals = data[:, 1]
+
+        ymin = np.floor(y_axis_vals.min()).astype(int)
+        ymax = np.ceil(y_axis_vals.max()).astype(int)
+
+        # default selection is 25% of the image
+        if selection is None:
+            selection = (x_axis_vals[0], x_axis_vals[value_25p], ymin, ymax)
+
+        # min/max limits
+        limits = (x_axis_vals[0], x_axis_vals[-1], ymin * 1.5, ymax * 1.5)
+
+        selector = RectangleSelector(
+            selection=selection,
+            limits=limits,
+            parent=self,
+            **kwargs,
+        )
+
+        self._plot_area.add_graphic(selector, center=False)
+
+        return selector
 
     # TODO: this method is a bit of a mess, can refactor later
     def _get_linear_selector_init_args(
diff --git a/fastplotlib/graphics/line_collection.py b/fastplotlib/graphics/line_collection.py
index 01faa9164..c4af5dddc 100644
--- a/fastplotlib/graphics/line_collection.py
+++ b/fastplotlib/graphics/line_collection.py
@@ -1,5 +1,4 @@
 from typing import *
-import weakref
 
 import numpy as np
 
@@ -8,7 +7,7 @@
 from ..utils import parse_cmap_values
 from ._collection_base import CollectionIndexer, GraphicCollection, CollectionFeature
 from .line import LineGraphic
-from .selectors import LinearRegionSelector, LinearSelector
+from .selectors import LinearRegionSelector, LinearSelector, RectangleSelector
 
 
 class _LineCollectionProperties:
@@ -378,7 +377,7 @@ def add_linear_selector(
             size=size,
             center=center,
             axis=axis,
-            parent=weakref.proxy(self),
+            parent=self,
             **kwargs,
         )
 
@@ -387,7 +386,7 @@ def add_linear_selector(
         # place selector above this graphic
         selector.offset = selector.offset + (0.0, 0.0, self.offset[-1] + 1)
 
-        return weakref.proxy(selector)
+        return selector
 
     def add_linear_region_selector(
         self,
@@ -435,7 +434,7 @@ def add_linear_region_selector(
             size=size,
             center=center,
             axis=axis,
-            parent=weakref.proxy(self),
+            parent=self,
             **kwargs,
         )
 
@@ -446,7 +445,48 @@ def add_linear_region_selector(
 
         # PlotArea manages this for garbage collection etc. just like all other Graphics
         # so we should only work with a proxy on the user-end
-        return weakref.proxy(selector)
+        return selector
+
+    def add_rectangle_selector(
+        self,
+        selection: tuple[float, float, float, float] = None,
+        **kwargs,
+    ) -> RectangleSelector:
+        """
+        Add a :class:`.RectangleSelector`. Selectors are just ``Graphic`` objects, so you can manage,
+        remove, or delete them from a plot area just like any other ``Graphic``.
+
+        Parameters
+        ----------
+        selection: (float, float, float, float), optional
+            initial (xmin, xmax, ymin, ymax) of the selection
+        """
+        bbox = self.world_object.get_world_bounding_box()
+
+        xdata = np.array(self.data[:, 0])
+        xmin, xmax = (np.nanmin(xdata), np.nanmax(xdata))
+        value_25px = (xmax - xmin) / 4
+
+        ydata = np.array(self.data[:, 1])
+        ymin = np.floor(ydata.min()).astype(int)
+
+        ymax = np.ptp(bbox[:, 1])
+
+        if selection is None:
+            selection = (xmin, value_25px, ymin, ymax)
+
+        limits = (xmin, xmax, ymin - (ymax * 1.5 - ymax), ymax * 1.5)
+
+        selector = RectangleSelector(
+            selection=selection,
+            limits=limits,
+            parent=self,
+            **kwargs,
+        )
+
+        self._plot_area.add_graphic(selector, center=False)
+
+        return selector
 
     def _get_linear_selector_init_args(self, axis, padding):
         # use bbox to get size and center
diff --git a/fastplotlib/graphics/scatter.py b/fastplotlib/graphics/scatter.py
index 39d815c95..8dad7cd43 100644
--- a/fastplotlib/graphics/scatter.py
+++ b/fastplotlib/graphics/scatter.py
@@ -4,11 +4,11 @@
 import pygfx
 
 from ._positions_base import PositionsGraphic
-from ._features import PointsSizesFeature, UniformSize
+from ._features import PointsSizesFeature, UniformSize, SizeSpace
 
 
 class ScatterGraphic(PositionsGraphic):
-    _features = {"data", "sizes", "colors", "cmap"}
+    _features = {"data", "sizes", "colors", "cmap", "size_space"}
 
     def __init__(
         self,
@@ -21,6 +21,7 @@ def __init__(
         isolated_buffer: bool = True,
         sizes: float | np.ndarray | Iterable[float] = 1,
         uniform_size: bool = False,
+        size_space: str = "screen",
         **kwargs,
     ):
         """
@@ -60,6 +61,9 @@ def __init__(
             if True, uses a uniform buffer for the scatter point sizes,
             basically saves GPU VRAM when all scatter points are the same size
 
+        size_space: str, default "screen"
+            coordinate space in which the size is expressed (‘screen’, ‘world’, ‘model’)
+
         kwargs
             passed to Graphic
 
@@ -73,6 +77,7 @@ def __init__(
             cmap=cmap,
             cmap_transform=cmap_transform,
             isolated_buffer=isolated_buffer,
+            size_space=size_space,
             **kwargs,
         )
 
@@ -80,6 +85,7 @@ def __init__(
 
         geo_kwargs = {"positions": self._data.buffer}
         material_kwargs = {"pick_write": True}
+        self._size_space = SizeSpace(size_space)
 
         if uniform_color:
             material_kwargs["color_mode"] = "uniform"
@@ -97,6 +103,7 @@ def __init__(
             self._sizes = PointsSizesFeature(sizes, n_datapoints=n_datapoints)
             geo_kwargs["sizes"] = self.sizes.buffer
 
+        material_kwargs["size_space"] = self.size_space
         world_object = pygfx.Points(
             pygfx.Geometry(**geo_kwargs),
             material=pygfx.PointsMaterial(**material_kwargs),
diff --git a/fastplotlib/graphics/selectors/__init__.py b/fastplotlib/graphics/selectors/__init__.py
index 4f28f571c..9133192e9 100644
--- a/fastplotlib/graphics/selectors/__init__.py
+++ b/fastplotlib/graphics/selectors/__init__.py
@@ -1,6 +1,7 @@
 from ._linear import LinearSelector
 from ._linear_region import LinearRegionSelector
 from ._polygon import PolygonSelector
+from ._rectangle import RectangleSelector
 
 
-__all__ = ["LinearSelector", "LinearRegionSelector"]
+__all__ = ["LinearSelector", "LinearRegionSelector", "RectangleSelector"]
diff --git a/fastplotlib/graphics/selectors/_base_selector.py b/fastplotlib/graphics/selectors/_base_selector.py
index 0fc48058d..5158a9239 100644
--- a/fastplotlib/graphics/selectors/_base_selector.py
+++ b/fastplotlib/graphics/selectors/_base_selector.py
@@ -1,9 +1,9 @@
 from typing import *
 from dataclasses import dataclass
 from functools import partial
-import weakref
 
 import numpy as np
+import pygfx
 
 from pygfx import WorldObject, Line, Mesh, Points
 
@@ -41,6 +41,70 @@ class BaseSelector(Graphic):
     def axis(self) -> str:
         return self._axis
 
+    @property
+    def fill_color(self) -> pygfx.Color:
+        """Returns the fill color of the selector, ``None`` if selector has no fill."""
+        return self._fill_color
+
+    @fill_color.setter
+    def fill_color(self, color: str | Sequence[float]):
+        """
+        Set the fill color of the selector.
+
+        Parameters
+        ----------
+        color : str | Sequence[float]
+            String or sequence of floats that gets converted into a ``pygfx.Color`` object.
+        """
+        color = pygfx.Color(color)
+        for fill in self._fill:
+            fill.material.color = color
+            self._original_colors[fill] = color
+        self._fill_color = color
+
+    @property
+    def vertex_color(self) -> pygfx.Color:
+        """Returns the vertex color of the selector, ``None`` if selector has no vertices."""
+        return self._vertex_color
+
+    @vertex_color.setter
+    def vertex_color(self, color: str | Sequence[float]):
+        """
+        Set the vertex color of the selector.
+
+        Parameters
+        ----------
+        color : str | Sequence[float]
+            String or sequence of floats that gets converted into a ``pygfx.Color`` object.
+        """
+        color = pygfx.Color(color)
+        for vertex in self._vertices:
+            vertex.material.color = color
+            vertex.material.edge_color = color
+            self._original_colors[vertex] = color
+        self._vertex_color = color
+
+    @property
+    def edge_color(self) -> pygfx.Color:
+        """Returns the edge color of the selector"""
+        return self._edge_color
+
+    @edge_color.setter
+    def edge_color(self, color: str | Sequence[float]):
+        """
+        Set the edge color of the selector.
+
+        Parameters
+        ----------
+        color : str | Sequence[float]
+            String or sequence of floats that gets converted into a ``pygfx.Color`` object.
+        """
+        color = pygfx.Color(color)
+        for edge in self._edges:
+            edge.material.color = color
+            self._original_colors[edge] = color
+        self._edge_color = color
+
     def __init__(
         self,
         edges: Tuple[Line, ...] = None,
@@ -69,6 +133,9 @@ def __init__(
             self._edges + self._fill + self._vertices
         )
 
+        for wo in self._world_objects:
+            wo.material.pick_write = True
+
         self._hover_responsive: Tuple[WorldObject, ...] = hover_responsive
 
         if hover_responsive is not None:
@@ -269,30 +336,44 @@ def _move_to_pointer(self, ev):
         """
         Calculates delta just using current world object position and calls self._move_graphic().
         """
-        current_position: np.ndarray = self.offset
-
-        # middle mouse button clicks
+        # check for middle mouse button click
         if ev.button != 3:
             return
 
+        if self.axis == "x":
+            offset = self.offset[0]
+        elif self.axis == "y":
+            offset = self.offset[1]
+
+        if self.selection.size > 1:
+            # linear region selectors
+            # TODO: get center for rectangle and polygon selectors
+            center = self.selection.mean(axis=0)
+
+        else:
+            # linear selectors
+            center = self.selection
+
+        current_pos_world: np.ndarray = center + offset
+
         world_pos = self._plot_area.map_screen_to_world(ev)
 
         # outside this viewport
         if world_pos is None:
             return
 
-        self.delta = world_pos - current_position
+        self.delta = world_pos - current_pos_world
         self._pygfx_event = ev
 
         # use fill by default as the source, such as in region selectors
         if len(self._fill) > 0:
             self._move_info = MoveInfo(
-                last_position=current_position, source=self._fill[0]
+                last_position=current_pos_world, source=self._fill[0]
             )
         # else use an edge, such as for linear selector
         else:
             self._move_info = MoveInfo(
-                last_position=current_position, source=self._edges[0]
+                last_position=current_pos_world, source=self._edges[0]
             )
 
         self._move_graphic(self.delta)
@@ -364,10 +445,10 @@ def _key_up(self, ev):
 
         self._move_info = None
 
-    def _fpl_cleanup(self):
+    def _fpl_prepare_del(self):
         if hasattr(self, "_pfunc_fill"):
             self._plot_area.renderer.remove_event_handler(
                 self._pfunc_fill, "pointer_down"
             )
             del self._pfunc_fill
-        super()._fpl_cleanup()
+        super()._fpl_prepare_del()
diff --git a/fastplotlib/graphics/selectors/_linear.py b/fastplotlib/graphics/selectors/_linear.py
index 22ba96a28..fe57036a3 100644
--- a/fastplotlib/graphics/selectors/_linear.py
+++ b/fastplotlib/graphics/selectors/_linear.py
@@ -1,22 +1,16 @@
-from typing import *
 import math
 from numbers import Real
+from typing import Sequence
 
 import numpy as np
 import pygfx
 
-from ...utils.gui import IS_JUPYTER
 from .._base import Graphic
 from .._collection_base import GraphicCollection
 from .._features._selection_features import LinearSelectionFeature
 from ._base_selector import BaseSelector
 
 
-if IS_JUPYTER:
-    # If using the jupyter backend, user has jupyter_rfb, and thus also ipywidgets
-    import ipywidgets
-
-
 class LinearSelector(BaseSelector):
     @property
     def parent(self) -> Graphic:
@@ -39,11 +33,11 @@ def selection(self, value: int):
         self._selection.set_value(self, value)
 
     @property
-    def limits(self) -> Tuple[float, float]:
+    def limits(self) -> tuple[float, float]:
         return self._limits
 
     @limits.setter
-    def limits(self, values: Tuple[float, float]):
+    def limits(self, values: tuple[float, float]):
         # check that `values` is an iterable of two real numbers
         # using `Real` here allows it to work with builtin `int` and `float` types, and numpy scaler types
         if len(values) != 2 or not all(map(lambda v: isinstance(v, Real), values)):
@@ -53,6 +47,27 @@ def limits(self, values: Tuple[float, float]):
         )  # if values are close to zero things get weird so round them
         self.selection._limits = self._limits
 
+    @property
+    def edge_color(self) -> pygfx.Color:
+        """Returns the color of the linear selector."""
+        return self._edge_color
+
+    @edge_color.setter
+    def edge_color(self, color: str | Sequence[float]):
+        """
+        Set the color of the linear selector.
+
+        Parameters
+        ----------
+        color : str | Sequence[float]
+            String or sequence of floats that gets converted into a ``pygfx.Color`` object.
+        """
+        color = pygfx.Color(color)
+        # only want to change inner line color
+        self._edges[0].material.color = color
+        self._original_colors[self._edges[0]] = color
+        self._edge_color = color
+
     # TODO: make `selection` arg in graphics data space not world space
     def __init__(
         self,
@@ -62,46 +77,53 @@ def __init__(
         center: float,
         axis: str = "x",
         parent: Graphic = None,
-        color: str | tuple = "w",
+        edge_color: str | Sequence[float] | np.ndarray = "w",
         thickness: float = 2.5,
         arrow_keys_modifier: str = "Shift",
         name: str = None,
     ):
         """
-        Create a horizontal or vertical line slider that is synced to an ipywidget IntSlider
+        Create a horizontal or vertical line that can be used to select a value along an axis.
 
         Parameters
         ----------
         selection: int
-            initial x or y selected position for the slider, in world space
+            initial x or y selected position for the selector, in data space
 
         limits: (int, int)
-            (min, max) limits along the x or y axis for the selector, in world space
+            (min, max) limits along the x or y-axis for the selector, in data space
 
-        axis: str, default "x"
-            "x" | "y", the axis which the slider can move along
+        size: float
+            size of the selector, usually the range of the data
 
         center: float
-            center offset of the selector on the orthogonal axis, by default the data mean
+            center offset of the selector on the orthogonal axis, usually the data mean
+
+        axis: str, default "x"
+            "x" | "y", the axis along which the selector can move
 
         parent: Graphic
-            parent graphic for this LineSelector
+            parent graphic for this LinearSelector
 
         arrow_keys_modifier: str
             modifier key that must be pressed to initiate movement using arrow keys, must be one of:
-            "Control", "Shift", "Alt" or ``None``. Double click on the selector first to enable the
+            "Control", "Shift", "Alt" or ``None``. Double-click the selector first to enable the
             arrow key movements, or set the attribute ``arrow_key_events_enabled = True``
 
         thickness: float, default 2.5
-            thickness of the slider
+            thickness of the selector
 
-        color: Any, default "w"
-            selection to set the color of the slider
+        edge_color: str | tuple | np.ndarray, default "w"
+            color of the selector
 
         name: str, optional
-            name of line slider
+            name of linear selector
 
         """
+        self._fill_color = None
+        self._edge_color = pygfx.Color(edge_color)
+        self._vertex_color = None
+
         if len(limits) != 2:
             raise ValueError("limits must be a tuple of 2 integers, i.e. (int, int)")
 
@@ -136,7 +158,7 @@ def __init__(
         line_inner = pygfx.Line(
             # self.data.feature_data because data is a Buffer
             geometry=pygfx.Geometry(positions=line_data),
-            material=material(thickness=thickness, color=color, pick_write=True),
+            material=material(thickness=thickness, color=edge_color, pick_write=True),
         )
 
         self.line_outer = pygfx.Line(
@@ -155,14 +177,10 @@ def __init__(
 
         self._move_info: dict = None
 
-        self._block_ipywidget_call = False
-
-        self._handled_widgets = list()
-
         if axis == "x":
-            offset = (parent.offset[0], center, 0)
+            offset = (parent.offset[0], center + parent.offset[1], 0)
         elif axis == "y":
-            offset = (center, parent.offset[1], 0)
+            offset = (center + parent.offset[0], parent.offset[1], 0)
 
         # init base selector
         BaseSelector.__init__(
@@ -187,149 +205,22 @@ def __init__(
         else:
             self._selection.set_value(self, selection)
 
-        # update any ipywidgets
-        self.add_event_handler(self._update_ipywidgets, "selection")
-
-    def _setup_ipywidget_slider(self, widget):
-        # setup an ipywidget slider with bidirectional callbacks to this LinearSelector
-        value = self.selection
-
-        if isinstance(widget, ipywidgets.IntSlider):
-            value = int(value)
-
-        widget.value = value
-
-        # user changes widget -> linear selection changes
-        widget.observe(self._ipywidget_callback, "value")
-
-        self._handled_widgets.append(widget)
-
-    def _update_ipywidgets(self, ev):
-        # update the ipywidget sliders when LinearSelector value changes
-        self._block_ipywidget_call = True  # prevent infinite recursion
-
-        value = ev.info["value"]
-        # update all the handled slider widgets
-        for widget in self._handled_widgets:
-            if isinstance(widget, ipywidgets.IntSlider):
-                widget.value = int(value)
-            else:
-                widget.value = value
-
-        self._block_ipywidget_call = False
-
-    def _ipywidget_callback(self, change):
-        # update the LinearSelector when the ipywidget value changes
-        if self._block_ipywidget_call or self._moving:
-            return
-
-        self.selection = change["new"]
-
-    def _fpl_add_plot_area_hook(self, plot_area):
-        super()._fpl_add_plot_area_hook(plot_area=plot_area)
-
-        # resize the slider widgets when the canvas is resized
-        self._plot_area.renderer.add_event_handler(self._set_slider_layout, "resize")
-
-    def _set_slider_layout(self, *args):
-        w, h = self._plot_area.renderer.logical_size
-
-        for widget in self._handled_widgets:
-            widget.layout = ipywidgets.Layout(width=f"{w}px")
-
-    def make_ipywidget_slider(self, kind: str = "IntSlider", **kwargs):
+    def get_selected_index(self, graphic: Graphic = None) -> int | list[int]:
         """
-        Makes and returns an ipywidget slider that is associated to this LinearSelector
+        Data index the selector is currently at w.r.t. the Graphic data.
 
-        Parameters
-        ----------
-        kind: str
-            "IntSlider", "FloatSlider" or "FloatLogSlider"
-
-        kwargs
-            passed to the ipywidget slider constructor
-
-        Returns
-        -------
-        ipywidgets.Intslider or ipywidgets.FloatSlider
-
-        """
-
-        if not IS_JUPYTER:
-            raise ImportError(
-                "Must installed `ipywidgets` to use `make_ipywidget_slider()`"
-            )
-
-        if kind not in ["IntSlider", "FloatSlider", "FloatLogSlider"]:
-            raise TypeError(
-                f"`kind` must be one of: 'IntSlider', 'FloatSlider' or 'FloatLogSlider'\n"
-                f"You have passed: '{kind}'"
-            )
-
-        cls = getattr(ipywidgets, kind)
-
-        value = self.selection
-        if "Int" in kind:
-            value = int(self.selection)
-
-        slider = cls(
-            min=self.limits[0],
-            max=self.limits[1],
-            value=value,
-            **kwargs,
-        )
-        self.add_ipywidget_handler(slider)
-
-        return slider
-
-    def add_ipywidget_handler(self, widget, step: Union[int, float] = None):
-        """
-        Bidirectionally connect events with a ipywidget slider
-
-        Parameters
-        ----------
-        widget: ipywidgets.IntSlider, ipywidgets.FloatSlider, or ipywidgets.FloatLogSlider
-            ipywidget slider to connect to
-
-        step: int or float, default ``None``
-            step size, if ``None`` 100 steps are created
-
-        """
-
-        if not isinstance(
-            widget,
-            (ipywidgets.IntSlider, ipywidgets.FloatSlider, ipywidgets.FloatLogSlider),
-        ):
-            raise TypeError(
-                f"`widget` must be one of: ipywidgets.IntSlider, ipywidgets.FloatSlider, or ipywidgets.FloatLogSlider\n"
-                f"You have passed a: <{type(widget)}"
-            )
-
-        if step is None:
-            step = (self.limits[1] - self.limits[0]) / 100
-
-        if isinstance(widget, ipywidgets.IntSlider):
-            step = int(step)
-
-        widget.step = step
-
-        self._setup_ipywidget_slider(widget)
-
-    def get_selected_index(self, graphic: Graphic = None) -> Union[int, List[int]]:
-        """
-        Data index the slider is currently at w.r.t. the Graphic data. With LineGraphic data, the geometry x or y
-        position is not always the data position, for example if plotting data using np.linspace. Use this to get
-        the data index of the slider.
+        With LineGraphic data, the geometry x or y position is not always the data position, for example if plotting
+        data using np.linspace. Use this to get the data index of the selector.
 
         Parameters
         ----------
         graphic: Graphic, optional
-            Graphic to get the selected data index from. Default is the parent graphic associated to the slider.
+            Graphic to get the selected data index from. Default is the parent graphic associated to the selector.
 
         Returns
         -------
         int or List[int]
-            data index the slider is currently at, list of ``int`` if a Collection
+            data index the selector is currently at, list of ``int`` if a Collection
         """
 
         source = self._get_source(graphic)
@@ -354,10 +245,10 @@ def _get_selected_index(self, graphic):
             "Line" in graphic.__class__.__name__
             or "Scatter" in graphic.__class__.__name__
         ):
-            # we want to find the index of the data closest to the slider position
+            # we want to find the index of the data closest to the selector position
             find_value = self.selection
 
-            # get closest data index to the world space position of the slider
+            # get closest data index to the world space position of the selector
             idx = np.searchsorted(data, find_value, side="left")
 
             if idx > 0 and (
@@ -372,7 +263,16 @@ def _get_selected_index(self, graphic):
         if "Image" in graphic.__class__.__name__:
             # indices map directly to grid geometry for image data buffer
             index = self.selection
-            return round(index)
+            shape = graphic.data[:].shape
+
+            if self.axis == "x":
+                # assume selecting columns
+                upper_bound = shape[1] - 1
+            elif self.axis == "y":
+                # assume selecting rows
+                upper_bound = shape[0] - 1
+
+            return min(round(index), upper_bound)
 
     def _move_graphic(self, delta: np.ndarray):
         """
@@ -389,9 +289,3 @@ def _move_graphic(self, delta: np.ndarray):
             self.selection = self.selection + delta[0]
         else:
             self.selection = self.selection + delta[1]
-
-    def _fpl_cleanup(self):
-        for widget in self._handled_widgets:
-            widget.unobserve(self._ipywidget_callback, "value")
-
-        super()._fpl_cleanup()
diff --git a/fastplotlib/graphics/selectors/_linear_region.py b/fastplotlib/graphics/selectors/_linear_region.py
index ecc67b885..c1e6095f8 100644
--- a/fastplotlib/graphics/selectors/_linear_region.py
+++ b/fastplotlib/graphics/selectors/_linear_region.py
@@ -1,21 +1,15 @@
-from typing import *
 from numbers import Real
+from typing import Sequence
 
 import numpy as np
 import pygfx
 
-from ...utils.gui import IS_JUPYTER
 from .._base import Graphic
 from .._collection_base import GraphicCollection
 from .._features._selection_features import LinearRegionSelectionFeature
 from ._base_selector import BaseSelector
 
 
-if IS_JUPYTER:
-    # If using the jupyter backend, user has jupyter_rfb, and thus also ipywidgets
-    import ipywidgets
-
-
 class LinearRegionSelector(BaseSelector):
     @property
     def parent(self) -> Graphic | None:
@@ -23,35 +17,31 @@ def parent(self) -> Graphic | None:
         return self._parent
 
     @property
-    def selection(self) -> Sequence[float] | List[Sequence[float]]:
+    def selection(self) -> np.ndarray[float]:
         """
-        (min, max) of data value along selector's axis
+        (min, max) of selector along selector's axis
         """
         # TODO: This probably does not account for rotation since world.position
         #  does not account for rotation, we can do this later
 
         return self._selection.value.copy()
 
-        # TODO: if no parent graphic is set, this just returns world positions
+        # TODO: if no parent graphic is set, this just returns values in world space
         #  but should we change it?
-        # return self._selection.value
 
     @selection.setter
     def selection(self, selection: Sequence[float]):
-        # set (xmin, xmax), or (ymin, ymax) of the selector in data space
+        # set (min, max) of the selector in data space
         graphic = self._parent
 
-        if isinstance(graphic, GraphicCollection):
-            pass
-
         self._selection.set_value(self, selection)
 
     @property
-    def limits(self) -> Tuple[float, float]:
+    def limits(self) -> tuple[float, float]:
         return self._limits
 
     @limits.setter
-    def limits(self, values: Tuple[float, float]):
+    def limits(self, values: tuple[float, float]):
         # check that `values` is an iterable of two real numbers
         # using `Real` here allows it to work with builtin `int` and `float` types, and numpy scaler types
         if len(values) != 2 or not all(map(lambda v: isinstance(v, Real), values)):
@@ -70,8 +60,8 @@ def __init__(
         axis: str = "x",
         parent: Graphic = None,
         resizable: bool = True,
-        fill_color=(0, 0, 0.35),
-        edge_color=(0.8, 0.6, 0),
+        fill_color: str | Sequence[float] = (0, 0, 0.35),
+        edge_color: str | Sequence[float] = (0.8, 0.6, 0),
         edge_thickness: float = 8,
         arrow_keys_modifier: str = "Shift",
         name: str = None,
@@ -82,7 +72,7 @@ def __init__(
 
         Assumes that the data under the selector is a function of the axis on which the selector moves
         along. Example: if the selector is along the x-axis, then there must be only one y-value for each
-        x-value, otherwise functions such as ``get_selected_data()`` do not make sense.
+        x-value, otherwise methods such as ``get_selected_data()`` do not make sense.
 
         Parameters
         ----------
@@ -93,19 +83,19 @@ def __init__(
             (min limit, max limit) within which the selector can move
 
         size: int
-            height or width of the selector
+            usually the data range, height or width of the selector
 
         center: float
-            center offset of the selector on the orthogonal axis, by default the data mean
+            usually the data mean, center offset of the selector on the orthogonal axis
 
         axis: str, default "x"
-            "x" | "y", axis the selected can move on
+            "x" | "y", axis along which the selector can move
 
-        parent: Graphic, default ``None``
-            associate this selector with a parent Graphic from which to fetch data or indices
+        parent: ``Graphic`` instance, default ``None``
+            associate this selector with a parent ``Graphic`` from which to fetch data or indices
 
         resizable: bool
-            if ``True``, the edges can be dragged to resize the width of the linear selection
+            if ``True``, the edges can be dragged to change the range of the selection
 
         fill_color: str, array, or tuple
             fill color for the selector, passed to pygfx.Color
@@ -120,10 +110,13 @@ def __init__(
             modifier key that must be pressed to initiate movement using arrow keys, must be one of:
             "Control", "Shift", "Alt" or ``None``
 
-        name: str
-            name for this selector graphic
+        name: str, optional
+            name of this selector graphic
 
         """
+        self._edge_color = pygfx.Color(edge_color)
+        self._fill_color = pygfx.Color(fill_color)
+        self._vertex_color = None
 
         # lots of very close to zero values etc. so round them, otherwise things get weird
         if not len(selection) == 2:
@@ -144,13 +137,17 @@ def __init__(
         if axis == "x":
             mesh = pygfx.Mesh(
                 pygfx.box_geometry(1, size, 1),
-                pygfx.MeshBasicMaterial(color=pygfx.Color(fill_color), pick_write=True),
+                pygfx.MeshBasicMaterial(
+                    color=pygfx.Color(self.fill_color), pick_write=True
+                ),
             )
 
         elif axis == "y":
             mesh = pygfx.Mesh(
                 pygfx.box_geometry(size, 1, 1),
-                pygfx.MeshBasicMaterial(color=pygfx.Color(fill_color), pick_write=True),
+                pygfx.MeshBasicMaterial(
+                    color=pygfx.Color(self.fill_color), pick_write=True
+                ),
             )
         else:
             raise ValueError("`axis` must be one of 'x' or 'y'")
@@ -189,7 +186,7 @@ def __init__(
                 positions=init_line_data.copy()
             ),  # copy so the line buffer is isolated
             pygfx.LineMaterial(
-                thickness=edge_thickness, color=edge_color, pick_write=True
+                thickness=edge_thickness, color=self.edge_color, pick_write=True
             ),
         )
         line1 = pygfx.Line(
@@ -197,23 +194,23 @@ def __init__(
                 positions=init_line_data.copy()
             ),  # copy so the line buffer is isolated
             pygfx.LineMaterial(
-                thickness=edge_thickness, color=edge_color, pick_write=True
+                thickness=edge_thickness, color=self.edge_color, pick_write=True
             ),
         )
 
-        self.edges: Tuple[pygfx.Line, pygfx.Line] = (line0, line1)
+        self.edges: tuple[pygfx.Line, pygfx.Line] = (line0, line1)
 
         # add the edge lines
         for edge in self.edges:
             edge.world.z = -0.5
             group.add(edge)
 
-        # TODO: if parent offset changes, we should set the selector offset too
+        # TODO: if parent offset changes, we should set the selector offset too, use offset evented property
         # TODO: add check if parent is `None`, will throw error otherwise
         if axis == "x":
-            offset = (parent.offset[0], center, 0)
+            offset = (parent.offset[0], center + parent.offset[1], 0)
         elif axis == "y":
-            offset = (center, parent.offset[1], 0)
+            offset = (center + parent.offset[1], parent.offset[1], 0)
 
         # set the initial bounds of the selector
         # compensate for any offset from the parent graphic
@@ -222,8 +219,6 @@ def __init__(
             selection, axis=axis, limits=self._limits
         )
 
-        self._handled_widgets = list()
-        self._block_ipywidget_call = False
         self._pygfx_event = None
 
         BaseSelector.__init__(
@@ -244,7 +239,7 @@ def __init__(
 
     def get_selected_data(
         self, graphic: Graphic = None
-    ) -> Union[np.ndarray, List[np.ndarray]]:
+    ) -> np.ndarray | list[np.ndarray]:
         """
         Get the ``Graphic`` data bounded by the current selection.
         Returns a view of the data array.
@@ -277,7 +272,7 @@ def get_selected_data(
                 # this will return a list of views of the arrays, therefore no copy operations occur
                 # it's fine and fast even as a list of views because there is no re-allocating of memory
                 # this is fast even for slicing a 10,000 x 5,000 LineStack
-                data_selections: List[np.ndarray] = list()
+                data_selections: list[np.ndarray] = list()
 
                 for i, g in enumerate(source.graphics):
                     if ixs[i].size == 0:
@@ -317,7 +312,7 @@ def get_selected_data(
 
     def get_selected_indices(
         self, graphic: Graphic = None
-    ) -> Union[np.ndarray, List[np.ndarray]]:
+    ) -> np.ndarray | list[np.ndarray]:
         """
         Returns the indices of the ``Graphic`` data bounded by the current selection.
 
@@ -371,128 +366,6 @@ def get_selected_indices(
             # indices map directly to grid geometry for image data buffer
             return np.arange(*bounds, dtype=int)
 
-    def make_ipywidget_slider(self, kind: str = "IntRangeSlider", **kwargs):
-        """
-        Makes and returns an ipywidget slider that is associated to this LinearSelector
-
-        Parameters
-        ----------
-        kind: str
-            "IntRangeSlider" or "FloatRangeSlider"
-
-        kwargs
-            passed to the ipywidget slider constructor
-
-        Returns
-        -------
-        ipywidgets.Intslider or ipywidgets.FloatSlider
-
-        """
-
-        if not IS_JUPYTER:
-            raise ImportError(
-                "Must installed `ipywidgets` to use `make_ipywidget_slider()`"
-            )
-
-        if kind not in ["IntRangeSlider", "FloatRangeSlider"]:
-            raise TypeError(
-                f"`kind` must be one of: 'IntRangeSlider', or 'FloatRangeSlider'\n"
-                f"You have passed: '{kind}'"
-            )
-
-        cls = getattr(ipywidgets, kind)
-
-        value = self.selection
-        if "Int" in kind:
-            value = tuple(map(int, self.selection))
-
-        slider = cls(
-            min=self.limits[0],
-            max=self.limits[1],
-            value=value,
-            **kwargs,
-        )
-        self.add_ipywidget_handler(slider)
-
-        return slider
-
-    def add_ipywidget_handler(self, widget, step: Union[int, float] = None):
-        """
-        Bidirectionally connect events with a ipywidget slider
-
-        Parameters
-        ----------
-        widget: ipywidgets.IntRangeSlider or ipywidgets.FloatRangeSlider
-            ipywidget slider to connect to
-
-        step: int or float, default ``None``
-            step size, if ``None`` 100 steps are created
-
-        """
-        if not isinstance(
-            widget, (ipywidgets.IntRangeSlider, ipywidgets.FloatRangeSlider)
-        ):
-            raise TypeError(
-                f"`widget` must be one of: ipywidgets.IntRangeSlider or ipywidgets.FloatRangeSlider\n"
-                f"You have passed a: <{type(widget)}"
-            )
-
-        if step is None:
-            step = (self.limits[1] - self.limits[0]) / 100
-
-        if isinstance(widget, ipywidgets.IntSlider):
-            step = int(step)
-
-        widget.step = step
-
-        self._setup_ipywidget_slider(widget)
-
-    def _setup_ipywidget_slider(self, widget):
-        # setup an ipywidget slider with bidirectional callbacks to this LinearSelector
-        value = self.selection
-
-        if isinstance(widget, ipywidgets.IntSlider):
-            value = tuple(map(int, value))
-
-        widget.value = value
-
-        # user changes widget -> linear selection changes
-        widget.observe(self._ipywidget_callback, "value")
-
-        # user changes linear selection -> widget changes
-        self.add_event_handler(self._update_ipywidgets, "selection")
-
-        self._plot_area.renderer.add_event_handler(self._set_slider_layout, "resize")
-
-        self._handled_widgets.append(widget)
-
-    def _update_ipywidgets(self, ev):
-        # update the ipywidget sliders when LinearSelector value changes
-        self._block_ipywidget_call = True  # prevent infinite recursion
-
-        value = ev.pick_info["new_data"]
-        # update all the handled slider widgets
-        for widget in self._handled_widgets:
-            if isinstance(widget, ipywidgets.IntSlider):
-                widget.value = tuple(map(int, value))
-            else:
-                widget.value = value
-
-        self._block_ipywidget_call = False
-
-    def _ipywidget_callback(self, change):
-        # update the LinearSelector if the ipywidget value changes
-        if self._block_ipywidget_call or self._moving:
-            return
-
-        self.selection = change["new"]
-
-    def _set_slider_layout(self, *args):
-        w, h = self._plot_area.renderer.logical_size
-
-        for widget in self._handled_widgets:
-            widget.layout = ipywidgets.Layout(width=f"{w}px")
-
     def _move_graphic(self, delta: np.ndarray):
         # add delta to current min, max to get new positions
         if self.axis == "x":
diff --git a/fastplotlib/graphics/selectors/_rectangle.py b/fastplotlib/graphics/selectors/_rectangle.py
new file mode 100644
index 000000000..51c3209b1
--- /dev/null
+++ b/fastplotlib/graphics/selectors/_rectangle.py
@@ -0,0 +1,527 @@
+import warnings
+from numbers import Real
+from typing import *
+import numpy as np
+
+import pygfx
+from .._collection_base import GraphicCollection
+
+from .._base import Graphic
+from .._features import RectangleSelectionFeature
+from ._base_selector import BaseSelector
+
+
+class RectangleSelector(BaseSelector):
+    @property
+    def parent(self) -> Graphic | None:
+        """Graphic that selector is associated with."""
+        return self._parent
+
+    @property
+    def selection(self) -> np.ndarray[float]:
+        """
+        (xmin, xmax, ymin, ymax) of the rectangle selection
+        """
+        return self._selection.value
+
+    @selection.setter
+    def selection(self, selection: Sequence[float]):
+        # set (xmin, xmax, ymin, ymax) of the selector in data space
+        graphic = self._parent
+
+        if isinstance(graphic, GraphicCollection):
+            pass
+
+        self._selection.set_value(self, selection)
+
+    @property
+    def limits(self) -> Tuple[float, float, float, float]:
+        """Return the limits of the selector."""
+        return self._limits
+
+    @limits.setter
+    def limits(self, values: Tuple[float, float, float, float]):
+        if len(values) != 4 or not all(map(lambda v: isinstance(v, Real), values)):
+            raise TypeError("limits must be an iterable of two numeric values")
+        self._limits = tuple(
+            map(round, values)
+        )  # if values are close to zero things get weird so round them
+        self._selection._limits = self._limits
+
+    def __init__(
+        self,
+        selection: Sequence[float],
+        limits: Sequence[float],
+        parent: Graphic = None,
+        resizable: bool = True,
+        fill_color=(0, 0, 0.35),
+        edge_color=(0.8, 0.6, 0),
+        edge_thickness: float = 8,
+        vertex_color=(0.7, 0.4, 0),
+        vertex_thickness: float = 8,
+        arrow_keys_modifier: str = "Shift",
+        name: str = None,
+    ):
+        """
+        Create a RectangleSelector graphic which can be used to select a rectangular region of data.
+        Allows sub-selecting data from a ``Graphic`` or from multiple Graphics.
+
+        Parameters
+        ----------
+        selection: (float, float, float, float)
+            the initial selection of the rectangle, ``(x_min, x_max, y_min, y_max)``
+
+        limits: (float, float, float, float)
+            limits of the selector, ``(x_min, x_max, y_min, y_max)``
+
+        parent: Graphic, default ``None``
+            associate this selector with a parent Graphic
+
+        resizable: bool, default ``True``
+            if ``True``, the edges can be dragged to resize the selection
+
+        fill_color: str, array, or tuple
+            fill color for the selector, passed to pygfx.Color
+
+        edge_color: str, array, or tuple
+            edge color for the selector, passed to pygfx.Color
+
+        edge_thickness: float, default 8
+            edge thickness
+
+        arrow_keys_modifier: str
+            modifier key that must be pressed to initiate movement using arrow keys, must be one of:
+            "Control", "Shift", "Alt" or ``None``
+
+        name: str
+            name for this selector graphic
+        """
+
+        if not len(selection) == 4 or not len(limits) == 4:
+            raise ValueError()
+
+        # lots of very close to zero values etc. so round them
+        selection = tuple(map(round, selection))
+        limits = tuple(map(round, limits))
+
+        self._parent = parent
+        self._limits = np.asarray(limits)
+        self._resizable = resizable
+
+        selection = np.asarray(selection)
+
+        # world object for this will be a group
+        # basic mesh for the fill area of the selector
+        # line for each edge of the selector
+        group = pygfx.Group()
+
+        xmin, xmax, ymin, ymax = selection
+
+        self._fill_color = pygfx.Color(fill_color)
+        self._edge_color = pygfx.Color(edge_color)
+        self._vertex_color = pygfx.Color(vertex_color)
+
+        width = xmax - xmin
+        height = ymax - ymin
+
+        if width < 0 or height < 0:
+            raise ValueError()
+
+        self.fill = pygfx.Mesh(
+            pygfx.box_geometry(width, height, 1),
+            pygfx.MeshBasicMaterial(
+                color=pygfx.Color(self.fill_color), pick_write=True
+            ),
+        )
+
+        self.fill.world.position = (0, 0, -2)
+
+        group.add(self.fill)
+
+        # position data for the left edge line
+        left_line_data = np.array(
+            [
+                [xmin, ymin, 0],
+                [xmin, ymax, 0],
+            ]
+        ).astype(np.float32)
+
+        left_line = pygfx.Line(
+            pygfx.Geometry(positions=left_line_data.copy()),
+            pygfx.LineMaterial(thickness=edge_thickness, color=self.edge_color),
+        )
+
+        # position data for the right edge line
+        right_line_data = np.array(
+            [
+                [xmax, ymin, 0],
+                [xmax, ymax, 0],
+            ]
+        ).astype(np.float32)
+
+        right_line = pygfx.Line(
+            pygfx.Geometry(positions=right_line_data.copy()),
+            pygfx.LineMaterial(thickness=edge_thickness, color=self.edge_color),
+        )
+
+        # position data for the left edge line
+        bottom_line_data = np.array(
+            [
+                [xmin, ymax, 0],
+                [xmax, ymax, 0],
+            ]
+        ).astype(np.float32)
+
+        bottom_line = pygfx.Line(
+            pygfx.Geometry(positions=bottom_line_data.copy()),
+            pygfx.LineMaterial(thickness=edge_thickness, color=self.edge_color),
+        )
+
+        # position data for the right edge line
+        top_line_data = np.array(
+            [
+                [xmin, ymin, 0],
+                [xmax, ymin, 0],
+            ]
+        ).astype(np.float32)
+
+        top_line = pygfx.Line(
+            pygfx.Geometry(positions=top_line_data.copy()),
+            pygfx.LineMaterial(thickness=edge_thickness, color=self.edge_color),
+        )
+
+        self.edges: Tuple[pygfx.Line, pygfx.Line, pygfx.Line, pygfx.Line] = (
+            left_line,
+            right_line,
+            bottom_line,
+            top_line,
+        )  # left line, right line, bottom line, top line
+
+        # add the edge lines
+        for edge in self.edges:
+            edge.world.z = -0.5
+            group.add(edge)
+
+        # vertices
+        top_left_vertex_data = (xmin, ymax, 1)
+        top_right_vertex_data = (xmax, ymax, 1)
+        bottom_left_vertex_data = (xmin, ymin, 1)
+        bottom_right_vertex_data = (xmax, ymin, 1)
+
+        top_left_vertex = pygfx.Points(
+            pygfx.Geometry(positions=[top_left_vertex_data], sizes=[vertex_thickness]),
+            pygfx.PointsMarkerMaterial(
+                marker="square",
+                size=vertex_thickness,
+                color=self.vertex_color,
+                size_mode="vertex",
+                edge_color=self.vertex_color,
+            ),
+        )
+
+        top_right_vertex = pygfx.Points(
+            pygfx.Geometry(positions=[top_right_vertex_data], sizes=[vertex_thickness]),
+            pygfx.PointsMarkerMaterial(
+                marker="square",
+                size=vertex_thickness,
+                color=self.vertex_color,
+                size_mode="vertex",
+                edge_color=self.vertex_color,
+            ),
+        )
+
+        bottom_left_vertex = pygfx.Points(
+            pygfx.Geometry(
+                positions=[bottom_left_vertex_data], sizes=[vertex_thickness]
+            ),
+            pygfx.PointsMarkerMaterial(
+                marker="square",
+                size=vertex_thickness,
+                color=self.vertex_color,
+                size_mode="vertex",
+                edge_color=self.vertex_color,
+            ),
+        )
+
+        bottom_right_vertex = pygfx.Points(
+            pygfx.Geometry(
+                positions=[bottom_right_vertex_data], sizes=[vertex_thickness]
+            ),
+            pygfx.PointsMarkerMaterial(
+                marker="square",
+                size=vertex_thickness,
+                color=self.vertex_color,
+                size_mode="vertex",
+                edge_color=self.vertex_color,
+            ),
+        )
+
+        self.vertices: Tuple[pygfx.Points, pygfx.Points, pygfx.Points, pygfx.Points] = (
+            bottom_left_vertex,
+            bottom_right_vertex,
+            top_left_vertex,
+            top_right_vertex,
+        )
+
+        for vertex in self.vertices:
+            vertex.world.z = -0.25
+            group.add(vertex)
+
+        self._selection = RectangleSelectionFeature(selection, limits=self._limits)
+
+        # include parent offset
+        if parent is not None:
+            offset = (parent.offset[0], parent.offset[1], 0)
+        else:
+            offset = (0, 0, 0)
+
+        BaseSelector.__init__(
+            self,
+            edges=self.edges,
+            fill=(self.fill,),
+            vertices=self.vertices,
+            hover_responsive=(*self.edges, *self.vertices),
+            arrow_keys_modifier=arrow_keys_modifier,
+            parent=parent,
+            name=name,
+            offset=offset,
+        )
+
+        self._set_world_object(group)
+
+        self.selection = selection
+
+    def get_selected_data(
+        self, graphic: Graphic = None, mode: str = "full"
+    ) -> Union[np.ndarray, List[np.ndarray]]:
+        """
+        Get the ``Graphic`` data bounded by the current selection.
+        Returns a view of the data array.
+
+        If the ``Graphic`` is a collection, such as a ``LineStack``, it returns a list of views of the full array.
+        Can be performed on the ``parent`` Graphic or on another graphic by passing to the ``graphic`` arg.
+
+        Parameters
+        ----------
+        graphic: Graphic, optional, default ``None``
+            if provided, returns the data selection from this graphic instead of the graphic set as ``parent``
+        mode: str, default 'full'
+            One of 'full', 'partial', or 'ignore'. Indicates how selected data should be returned based on the
+            selectors position over the graphic. Only used for ``LineGraphic``, ``LineCollection``, and ``LineStack``
+            | If 'full', will return all data bounded by the x and y limits of the selector even if partial indices
+            along one axis are not fully covered by the selector.
+            | If 'partial' will return only the data that is bounded by the selector, missing indices not bounded by the
+            selector will be set to NaNs
+            | If 'ignore', will only return data for graphics that have indices completely bounded by the selector
+
+        Returns
+        -------
+        np.ndarray or List[np.ndarray]
+            view or list of views of the full array, returns empty array if selection is empty
+        """
+        source = self._get_source(graphic)
+        ixs = self.get_selected_indices(source)
+
+        # do not need to check for mode for images, because the selector is bounded by the image shape
+        # will always be `full`
+        if "Image" in source.__class__.__name__:
+            row_ixs, col_ixs = ixs
+            row_slice = slice(row_ixs[0], row_ixs[-1] + 1)
+            col_slice = slice(col_ixs[0], col_ixs[-1] + 1)
+
+            return source.data[row_slice, col_slice]
+
+        if mode not in ["full", "partial", "ignore"]:
+            raise ValueError(
+                f"`mode` must be one of 'full', 'partial', or 'ignore', you have passed {mode}"
+            )
+        if "Line" in source.__class__.__name__:
+
+            if isinstance(source, GraphicCollection):
+                data_selections: List[np.ndarray] = list()
+
+                for i, g in enumerate(source.graphics):
+                    # want to keep same length as the original line collection
+                    if ixs[i].size == 0:
+                        data_selections.append(
+                            np.array([], dtype=np.float32).reshape(0, 3)
+                        )
+                    else:
+                        # s gives entire slice of data along the x
+                        s = slice(
+                            ixs[i][0], ixs[i][-1] + 1
+                        )  # add 1 because these are direct indices
+                        # slices n_datapoints dim
+
+                        # calculate missing ixs using set difference
+                        # then calculate shift
+                        missing_ixs = (
+                            np.setdiff1d(np.arange(ixs[i][0], ixs[i][-1] + 1), ixs[i])
+                            - ixs[i][0]
+                        )
+
+                        match mode:
+                            # take all ixs, ignore missing
+                            case "full":
+                                data_selections.append(g.data[s])
+                            # set missing ixs data to NaNs
+                            case "partial":
+                                if len(missing_ixs) > 0:
+                                    data = g.data[s].copy()
+                                    data[missing_ixs] = np.nan
+                                    data_selections.append(data)
+                                else:
+                                    data_selections.append(g.data[s])
+                            # ignore lines that do not have full ixs to start
+                            case "ignore":
+                                if len(missing_ixs) > 0:
+                                    data_selections.append(
+                                        np.array([], dtype=np.float32).reshape(0, 3)
+                                    )
+                                else:
+                                    data_selections.append(g.data[s])
+                return data_selections
+            else:  # for lines
+                if ixs.size == 0:
+                    # empty selection
+                    return np.array([], dtype=np.float32).reshape(0, 3)
+
+                s = slice(
+                    ixs[0], ixs[-1] + 1
+                )  # add 1 to end because these are direct indices
+                # slices n_datapoints dim
+                # slice with min, max is faster than using all the indices
+
+                # get missing ixs
+                missing_ixs = np.setdiff1d(np.arange(ixs[0], ixs[-1] + 1), ixs) - ixs[0]
+
+                match mode:
+                    # return all, do not care about missing
+                    case "full":
+                        return source.data[s]
+                    # set missing to NaNs
+                    case "partial":
+                        if len(missing_ixs) > 0:
+                            data = source.data[s].copy()
+                            data[missing_ixs] = np.nan
+                            return data
+                        else:
+                            return source.data[s]
+                    # missing means nothing will be returned even if selector is partially over data
+                    # warn the user and return empty
+                    case "ignore":
+                        if len(missing_ixs) > 0:
+                            warnings.warn(
+                                "You have selected 'ignore' mode. Selected graphic has incomplete indices. "
+                                "Move the selector or change the mode to one of `partial` or `full`."
+                            )
+                            return np.array([], dtype=np.float32)
+                        else:
+                            return source.data[s]
+
+    def get_selected_indices(
+        self, graphic: Graphic = None
+    ) -> np.ndarray | tuple[np.ndarray]:
+        """
+        Returns the indices of the ``Graphic`` data bounded by the current selection.
+
+        These are the data indices which correspond to the data under the selector.
+
+        Parameters
+        ----------
+        graphic: Graphic, default ``None``
+            If provided, returns the selection indices from this graphic instrad of the graphic set as ``parent``
+
+        Returns
+        -------
+        Union[np.ndarray, List[np.ndarray]]
+            data indicies of the selection
+            | tuple of [row_indices, col_indices] if the graphic is an image
+            | list of indices along the x-dimension for each line if graphic is a line collection
+            | array of indices along the x-dimension if graphic is a line
+        """
+        # get indices from source
+        source = self._get_source(graphic)
+
+        # selector (xmin, xmax, ymin, ymax) values
+        xmin, xmax, ymin, ymax = self.selection
+
+        # image data does not need to check for mode because the selector is always bounded
+        # to the image
+        if "Image" in source.__class__.__name__:
+            col_ixs = np.arange(xmin, xmax, dtype=int)
+            row_ixs = np.arange(ymin, ymax, dtype=int)
+            return row_ixs, col_ixs
+
+        if "Line" in source.__class__.__name__:
+            if isinstance(source, GraphicCollection):
+                ixs = list()
+                for g in source.graphics:
+                    data = g.data.value
+                    g_ixs = np.where(
+                        (data[:, 0] >= xmin - g.offset[0])
+                        & (data[:, 0] <= xmax - g.offset[0])
+                        & (data[:, 1] >= ymin - g.offset[1])
+                        & (data[:, 1] <= ymax - g.offset[1])
+                    )[0]
+                    ixs.append(g_ixs)
+            else:
+                # map only this graphic
+                data = source.data.value
+                ixs = np.where(
+                    (data[:, 0] >= xmin)
+                    & (data[:, 0] <= xmax)
+                    & (data[:, 1] >= ymin)
+                    & (data[:, 1] <= ymax)
+                )[0]
+
+            return ixs
+
+    def _move_graphic(self, delta: np.ndarray):
+
+        # new selection positions
+        xmin_new = self.selection[0] + delta[0]
+        xmax_new = self.selection[1] + delta[0]
+        ymin_new = self.selection[2] + delta[1]
+        ymax_new = self.selection[3] + delta[1]
+
+        # move entire selector if source is fill
+        if self._move_info.source == self.fill:
+            if self.selection[0] == self.limits[0] and xmin_new < self.limits[0]:
+                return
+            if self.selection[1] == self.limits[1] and xmax_new > self.limits[1]:
+                return
+            if self.selection[2] == self.limits[2] and ymin_new < self.limits[2]:
+                return
+            if self.selection[3] == self.limits[3] and ymax_new > self.limits[3]:
+                return
+            # set thew new bounds
+            self._selection.set_value(self, (xmin_new, xmax_new, ymin_new, ymax_new))
+            return
+
+        # if selector not resizable return
+        if not self._resizable:
+            return
+
+        xmin, xmax, ymin, ymax = self.selection
+
+        if self._move_info.source == self.vertices[0]:  # bottom left
+            self._selection.set_value(self, (xmin_new, xmax, ymin_new, ymax))
+        if self._move_info.source == self.vertices[1]:  # bottom right
+            self._selection.set_value(self, (xmin, xmax_new, ymin_new, ymax))
+        if self._move_info.source == self.vertices[2]:  # top left
+            self._selection.set_value(self, (xmin_new, xmax, ymin, ymax_new))
+        if self._move_info.source == self.vertices[3]:  # top right
+            self._selection.set_value(self, (xmin, xmax_new, ymin, ymax_new))
+        # if event source was an edge and selector is resizable, move the edge that caused the event
+        if self._move_info.source == self.edges[0]:
+            self._selection.set_value(self, (xmin_new, xmax, ymin, ymax))
+        if self._move_info.source == self.edges[1]:
+            self._selection.set_value(self, (xmin, xmax_new, ymin, ymax))
+        if self._move_info.source == self.edges[2]:
+            self._selection.set_value(self, (xmin, xmax, ymin_new, ymax))
+        if self._move_info.source == self.edges[3]:
+            self._selection.set_value(self, (xmin, xmax, ymin, ymax_new))
+
+    def _move_to_pointer(self, ev):
+        pass
diff --git a/fastplotlib/graphics/selectors/_rectangle_region.py b/fastplotlib/graphics/selectors/_rectangle_region.py
deleted file mode 100644
index bc2cad5b1..000000000
--- a/fastplotlib/graphics/selectors/_rectangle_region.py
+++ /dev/null
@@ -1,355 +0,0 @@
-from typing import *
-import numpy as np
-
-import pygfx
-
-from ...utils import mesh_masks
-from .._base import Graphic
-from .._features import GraphicFeature
-from ._base_selector import BaseSelector
-
-
-class RectangleBoundsFeature(GraphicFeature):
-    """
-    Feature for a linearly bounding region
-
-    **event pick info**
-
-    +--------------------+-------------------------------+--------------------------------------------------------------------------------------+
-    | key                | type                          | description                                                                          |
-    +====================+===============================+======================================================================================+
-    | "selected_indices" | ``numpy.ndarray`` or ``None`` | selected graphic data indices                                                        |
-    | "selected_data"    | ``numpy.ndarray`` or ``None`` | selected graphic data                                                                |
-    | "new_data"         | ``(float, float)``            | current bounds in world coordinates, NOT necessarily the same as "selected_indices". |
-    +--------------------+-------------------------------+--------------------------------------------------------------------------------------+
-
-    """
-
-    def __init__(
-        self, parent, bounds: Tuple[int, int], axis: str, limits: Tuple[int, int]
-    ):
-        super().__init__(parent, data=bounds)
-
-        self._axis = axis
-        self.limits = limits
-
-        self._set(bounds)
-
-    @property
-    def axis(self) -> str:
-        """one of "x" | "y" """
-        return self._axis
-
-    def _set(self, value: Tuple[float, float, float, float]):
-        """
-
-        Parameters
-        ----------
-        value: Tuple[float]
-            new values: (xmin, xmax, ymin, ymax)
-
-        Returns
-        -------
-
-        """
-        xmin, xmax, ymin, ymax = value
-
-        # TODO: make sure new values do not exceed limits
-
-        # change fill mesh
-        # change left x position of the fill mesh
-        self._parent.fill.geometry.positions.data[mesh_masks.x_left] = xmin
-
-        # change right x position of the fill mesh
-        self._parent.fill.geometry.positions.data[mesh_masks.x_right] = xmax
-
-        # change bottom y position of the fill mesh
-        self._parent.fill.geometry.positions.data[mesh_masks.y_bottom] = ymin
-
-        # change top position of the fill mesh
-        self._parent.fill.geometry.positions.data[mesh_masks.y_top] = ymax
-
-        # change the edge lines
-
-        # each edge line is defined by two end points which are stored in the
-        # geometry.positions
-        # [x0, y0, z0]
-        # [x1, y1, z0]
-
-        # left line
-        z = self._parent.edges[0].geometry.positions.data[:, -1][0]
-        self._parent.edges[0].geometry.positions.data[:] = np.array(
-            [[xmin, ymin, z], [xmin, ymax, z]]
-        )
-
-        # right line
-        self._parent.edges[1].geometry.positions.data[:] = np.array(
-            [[xmax, ymin, z], [xmax, ymax, z]]
-        )
-
-        # bottom line
-        self._parent.edges[2].geometry.positions.data[:] = np.array(
-            [[xmin, ymin, z], [xmax, ymin, z]]
-        )
-
-        # top line
-        self._parent.edges[3].geometry.positions.data[:] = np.array(
-            [[xmin, ymax, z], [xmax, ymax, z]]
-        )
-
-        self._data = value  # (value[0], value[1])
-
-        # send changes to GPU
-        self._parent.fill.geometry.positions.update_range()
-
-        for edge in self._parent.edges:
-            edge.geometry.positions.update_range()
-
-        # calls any events
-        self._feature_changed(key=None, new_data=value)
-
-    # TODO: feature_changed
-    def _feature_changed(self, key: Union[int, slice, Tuple[slice]], new_data: Any):
-        return
-        # if len(self._event_handlers) < 1:
-        #     return
-        #
-        # if self._parent.parent is not None:
-        #     selected_ixs = self._parent.get_selected_indices()
-        #     selected_data = self._parent.get_selected_data()
-        # else:
-        #     selected_ixs = None
-        #     selected_data = None
-        #
-        # pick_info = {
-        #     "index": None,
-        #     "collection-index": self._collection_index,
-        #     "world_object": self._parent.world_object,
-        #     "new_data": new_data,
-        #     "selected_indices": selected_ixs,
-        #     "selected_data": selected_data
-        #     "graphic",
-        #     "delta",
-        #     "pygfx_event"
-        # }
-        #
-        # event_data = FeatureEvent(type="bounds", pick_info=pick_info)
-        #
-        # self._call_event_handlers(event_data)
-
-
-class RectangleRegionSelector(Graphic, BaseSelector):
-    feature_events = "bounds"
-
-    def __init__(
-        self,
-        bounds: Tuple[int, int, int, int],
-        limits: Tuple[int, int],
-        origin: Tuple[int, int],
-        axis: str = "x",
-        parent: Graphic = None,
-        resizable: bool = True,
-        fill_color=(0, 0, 0.35),
-        edge_color=(0.8, 0.8, 0),
-        arrow_keys_modifier: str = "Shift",
-        name: str = None,
-    ):
-        """
-        Create a LinearRegionSelector graphic which can be moved only along either the x-axis or y-axis.
-        Allows sub-selecting data from a ``Graphic`` or from multiple Graphics.
-
-        bounds[0], limits[0], and position[0] must be identical
-
-        Parameters
-        ----------
-        bounds: (int, int, int, int)
-            the initial bounds of the rectangle, ``(x_min, x_max, y_min, y_max)``
-
-        limits: (int, int, int, int)
-            limits of the selector, ``(x_min, x_max, y_min, y_max)``
-
-        origin: (int, int)
-            initial position of the selector
-
-        axis: str, default ``None``
-            Restrict the selector to the "x" or "y" axis.
-            If the selector is restricted to an axis you cannot change the bounds along the other axis. For example,
-            if you set ``axis="x"``, then the ``y_min``, ``y_max`` values of the bounds will stay constant.
-
-        parent: Graphic, default ``None``
-            associate this selector with a parent Graphic
-
-        resizable: bool
-            if ``True``, the edges can be dragged to resize the selection
-
-        fill_color: str, array, or tuple
-            fill color for the selector, passed to pygfx.Color
-
-        edge_color: str, array, or tuple
-            edge color for the selector, passed to pygfx.Color
-
-        name: str
-            name for this selector graphic
-        """
-
-        # lots of very close to zero values etc. so round them
-        bounds = tuple(map(round, bounds))
-        limits = tuple(map(round, limits))
-        origin = tuple(map(round, origin))
-
-        Graphic.__init__(self, name=name)
-
-        self.parent = parent
-
-        # world object for this will be a group
-        # basic mesh for the fill area of the selector
-        # line for each edge of the selector
-        group = pygfx.Group()
-        self._set_world_object(group)
-
-        xmin, xmax, ymin, ymax = bounds
-
-        width = xmax - xmin
-        height = ymax - ymin
-
-        self.fill = pygfx.Mesh(
-            pygfx.box_geometry(width, height, 1),
-            pygfx.MeshBasicMaterial(color=pygfx.Color(fill_color), pick_write=True),
-        )
-
-        self.fill.position.set(*origin, -2)
-        self.world_object.add(self.fill)
-
-        # position data for the left edge line
-        left_line_data = np.array(
-            [
-                [origin[0], (-height / 2) + origin[1], 0.5],
-                [origin[0], (height / 2) + origin[1], 0.5],
-            ]
-        ).astype(np.float32)
-
-        left_line = pygfx.Line(
-            pygfx.Geometry(positions=left_line_data),
-            pygfx.LineMaterial(thickness=3, color=edge_color),
-        )
-
-        # position data for the right edge line
-        right_line_data = np.array(
-            [
-                [bounds[1], (-height / 2) + origin[1], 0.5],
-                [bounds[1], (height / 2) + origin[1], 0.5],
-            ]
-        ).astype(np.float32)
-
-        right_line = pygfx.Line(
-            pygfx.Geometry(positions=right_line_data),
-            pygfx.LineMaterial(thickness=3, color=edge_color),
-        )
-
-        # position data for the left edge line
-        bottom_line_data = np.array(
-            [
-                [(-width / 2) + origin[0], origin[1], 0.5],
-                [(width / 2) + origin[0], origin[1], 0.5],
-            ]
-        ).astype(np.float32)
-
-        bottom_line = pygfx.Line(
-            pygfx.Geometry(positions=bottom_line_data),
-            pygfx.LineMaterial(thickness=3, color=edge_color),
-        )
-
-        # position data for the right edge line
-        top_line_data = np.array(
-            [
-                [(-width / 2) + origin[0], bounds[1], 0.5],
-                [(width / 2) + origin[0], bounds[1], 0.5],
-            ]
-        ).astype(np.float32)
-
-        top_line = pygfx.Line(
-            pygfx.Geometry(positions=top_line_data),
-            pygfx.LineMaterial(thickness=3, color=edge_color),
-        )
-
-        self.edges: Tuple[pygfx.Line, ...] = (
-            left_line,
-            right_line,
-            bottom_line,
-            top_line,
-        )  # left line, right line, bottom line, top line
-
-        # add the edge lines
-        for edge in self.edges:
-            edge.position.set(*origin, -1)
-            self.world_object.add(edge)
-
-        self._resizable = resizable
-        self._bounds = RectangleBoundsFeature(self, bounds, axis=axis, limits=limits)
-
-        BaseSelector.__init__(
-            self,
-            edges=self.edges,
-            fill=(self.fill,),
-            hover_responsive=self.edges,
-            arrow_keys_modifier=arrow_keys_modifier,
-            axis=axis,
-        )
-
-    @property
-    def bounds(self) -> RectangleBoundsFeature:
-        """
-        (xmin, xmax, ymin, ymax) The current bounds of the selection in world space.
-
-        These bounds will NOT necessarily correspond to the indices of the data that are under the selection.
-        Use ``get_selected_indices()` which maps from world space to data indices.
-        """
-        return self._bounds
-
-    def _move_graphic(self, delta):
-        # new left bound position
-        xmin_new = Vector3(self.bounds()[0]).add(delta).x
-
-        # new right bound position
-        xmax_new = Vector3(self.bounds()[1]).add(delta).x
-
-        # new bottom bound position
-        ymin_new = Vector3(0, self.bounds()[2]).add(delta).y
-
-        # new top bound position
-        ymax_new = Vector3(0, self.bounds()[3]).add(delta).y
-
-        # move entire selector if source was fill
-        if self._move_info.source == self.fill:
-            # set the new bounds
-            self.bounds = (xmin_new, xmax_new, ymin_new, ymax_new)
-            return
-
-        # if selector is not resizable do nothing
-        if not self._resizable:
-            return
-
-        # if resizable, move edges
-
-        xmin, xmax, ymin, ymax = self.bounds()
-
-        # change only left bound
-        if self._move_info.source == self.edges[0]:
-            xmin = xmin_new
-
-        # change only right bound
-        elif self._move_info.source == self.edges[1]:
-            xmax = xmax_new
-
-        # change only bottom bound
-        elif self._move_info.source == self.edges[2]:
-            ymin = ymin_new
-
-        # change only top bound
-        elif self._move_info.source == self.edges[3]:
-            ymax = ymax_new
-        else:
-            return
-
-        # set the new bounds
-        self.bounds = (xmin, xmax, ymin, ymax)
diff --git a/fastplotlib/graphics/utils.py b/fastplotlib/graphics/utils.py
new file mode 100644
index 000000000..6be5aefc4
--- /dev/null
+++ b/fastplotlib/graphics/utils.py
@@ -0,0 +1,37 @@
+from contextlib import contextmanager
+
+from ._base import Graphic
+
+
+@contextmanager
+def pause_events(*graphics: Graphic):
+    """
+    Context manager for pausing Graphic events.
+
+    Examples
+    --------
+
+    .. code-block::
+
+        # pass in any number of graphics
+        with fpl.pause_events(graphic1, graphic2, graphic3):
+            # enter context manager
+            # all events are blocked from graphic1, graphic2, graphic3
+
+        # context manager exited, event states restored.
+
+    """
+    if not all([isinstance(g, Graphic) for g in graphics]):
+        raise TypeError(
+            f"`pause_events` only takes Graphic instances as arguments, "
+            f"you have passed the following types:\n{[type(g) for g in graphics]}"
+        )
+
+    original_vals = [g.block_events for g in graphics]
+
+    for g in graphics:
+        g.block_events = True
+    yield
+
+    for g, value in zip(graphics, original_vals):
+        g.block_events = value
diff --git a/fastplotlib/layouts/__init__.py b/fastplotlib/layouts/__init__.py
index 60111cabc..4a4f45174 100644
--- a/fastplotlib/layouts/__init__.py
+++ b/fastplotlib/layouts/__init__.py
@@ -1,3 +1,15 @@
 from ._figure import Figure
 
-__all__ = ["Figure"]
+try:
+    import imgui_bundle
+except ImportError:
+    IMGUI = False
+else:
+    IMGUI = True
+
+if IMGUI:
+    from ._imgui_figure import ImguiFigure
+
+    __all__ = ["Figure", "ImguiFigure"]
+else:
+    __all__ = ["Figure"]
diff --git a/fastplotlib/layouts/_figure.py b/fastplotlib/layouts/_figure.py
index d330c6928..70a4d41be 100644
--- a/fastplotlib/layouts/_figure.py
+++ b/fastplotlib/layouts/_figure.py
@@ -11,7 +11,7 @@
 
 import pygfx
 
-from wgpu.gui import WgpuCanvasBase
+from rendercanvas import BaseRenderCanvas
 
 from ._video_writer import VideoWriterAV
 from ._utils import make_canvas_and_renderer, create_controller, create_camera
@@ -41,7 +41,7 @@ def __init__(
             | Iterable[Iterable[str]]
         ) = None,
         controllers: pygfx.Controller | Iterable[Iterable[pygfx.Controller]] = None,
-        canvas: str | WgpuCanvasBase | pygfx.Texture = None,
+        canvas: str | BaseRenderCanvas | pygfx.Texture = None,
         renderer: pygfx.WgpuRenderer = None,
         size: tuple[int, int] = (500, 300),
         names: list | np.ndarray = None,
@@ -84,8 +84,8 @@ def __init__(
             plot/subplot. Other controller kwargs, i.e. ``controller_types`` and ``controller_ids`` are ignored if
             ``controllers`` are provided.
 
-        canvas: WgpuCanvas, optional
-            Canvas for drawing
+        canvas: str, BaseRenderCanvas, pygfx.Texture
+            Canvas to draw the figure onto, usually auto-selected based on running environment.
 
         renderer: pygfx.Renderer, optional
             pygfx renderer instance
@@ -109,7 +109,9 @@ def __init__(
         else:
             subplot_names = None
 
-        canvas, renderer = make_canvas_and_renderer(canvas, renderer)
+        canvas, renderer = make_canvas_and_renderer(
+            canvas, renderer, canvas_kwargs={"size": size}
+        )
 
         if isinstance(cameras, str):
             # create the array representing the views for each subplot in the grid
@@ -322,38 +324,23 @@ def __init__(
 
         self._current_iter = None
 
-        self._starting_size = size
+        self._sidecar = None
 
         self._output = None
 
-        if self.canvas.__class__.__name__ == "JupyterWgpuCanvas":
-            self.recorder = FigureRecorder(self)
-        else:
-            self.recorder = None
-
-    @property
-    def toolbar(self):
-        """ipywidget or QToolbar instance"""
-        return self._output.toolbar
-
-    @property
-    def output(self):
-        """ipywidget or QWidget that contains this plot"""
-        return self._output
-
     @property
     def shape(self) -> tuple[int, int]:
         """[n_rows, n_cols]"""
         return self._shape
 
     @property
-    def canvas(self) -> WgpuCanvasBase:
-        """The canvas associated to this Figure"""
+    def canvas(self) -> BaseRenderCanvas:
+        """The canvas this Figure is drawn onto"""
         return self._canvas
 
     @property
     def renderer(self) -> pygfx.WgpuRenderer:
-        """The renderer associated to this Figure"""
+        """The renderer that renders this Figure"""
         return self._renderer
 
     @property
@@ -390,7 +377,7 @@ def __getitem__(self, index: tuple[int, int] | str) -> Subplot:
         else:
             return self._subplots[index[0], index[1]]
 
-    def render(self):
+    def render(self, draw=True):
         # call the animation functions before render
         self._call_animate_functions(self._animate_funcs_pre)
 
@@ -398,7 +385,8 @@ def render(self):
             subplot.render()
 
         self.renderer.flush()
-        self.canvas.request_draw()
+        if draw:
+            self.canvas.request_draw()
 
         # call post-render animate functions
         self._call_animate_functions(self._animate_funcs_post)
@@ -406,19 +394,16 @@ def render(self):
     def start_render(self):
         """start render cycle"""
         self.canvas.request_draw(self.render)
-        self.canvas.set_logical_size(*self._starting_size)
 
     def show(
         self,
         autoscale: bool = True,
         maintain_aspect: bool = None,
-        toolbar: bool = True,
         sidecar: bool = False,
         sidecar_kwargs: dict = None,
-        add_widgets: list = None,
     ):
         """
-        Begins the rendering event loop and shows the plot in the desired output context (jupyter, qt or glfw).
+        Begins the rendering event loop and shows the Figure, returns the canvas
 
         Parameters
         ----------
@@ -428,29 +413,22 @@ def show(
         maintain_aspect: bool, default ``True``
             maintain aspect ratio
 
-        toolbar: bool, default ``True``
-            show toolbar
-
         sidecar: bool, default ``True``
-            display plot in a ``jupyterlab-sidecar``, only for jupyter output context
+            display plot in a ``jupyterlab-sidecar``, only in jupyter
 
         sidecar_kwargs: dict, default ``None``
             kwargs for sidecar instance to display plot
             i.e. title, layout
 
-        add_widgets: list of widgets
-            a list of ipywidgets or QWidget that are vertically stacked below the plot
-
         Returns
         -------
-        OutputContext
-            In jupyter, it will display the plot in the output cell or sidecar
-
-            In Qt, it will display the Plot, toolbar, etc. as stacked widget, use `Plot.widget` to access it.
+        BaseRenderCanvas
+            In Qt or GLFW, the canvas window containing the Figure will be shown.
+            In jupyter, it will display the plot in the output cell or sidecar.
         """
 
-        # show was already called, return existing output context
-        if self._output is not None:
+        # show was already called, return canvas
+        if self._output:
             return self._output
 
         self.start_render()
@@ -458,9 +436,6 @@ def show(
         if sidecar_kwargs is None:
             sidecar_kwargs = dict()
 
-        if add_widgets is None:
-            add_widgets = list()
-
         # flip y-axis if ImageGraphics are present
         for subplot in self:
             for g in subplot.graphics:
@@ -474,37 +449,50 @@ def show(
                     _maintain_aspect = subplot.camera.maintain_aspect
                 else:
                     _maintain_aspect = maintain_aspect
-                subplot.auto_scale(maintain_aspect=_maintain_aspect, zoom=0.95)
-
-        # return the appropriate OutputContext based on the current canvas
-        if self.canvas.__class__.__name__ == "JupyterWgpuCanvas":
-            from .output.jupyter_output import (
-                JupyterOutputContext,
-            )  # noqa - inline import
-
-            self._output = JupyterOutputContext(
-                frame=self,
-                make_toolbar=toolbar,
-                use_sidecar=sidecar,
-                sidecar_kwargs=sidecar_kwargs,
-                add_widgets=add_widgets,
-            )
-
-        elif self.canvas.__class__.__name__ == "QWgpuCanvas":
-            from .output.qt_output import QOutputContext  # noqa - inline import
+                subplot.auto_scale(maintain_aspect=maintain_aspect)
+
+        # parse based on canvas type
+        if self.canvas.__class__.__name__ == "JupyterRenderCanvas":
+            if sidecar:
+                from sidecar import Sidecar
+                from IPython.display import display
+
+                self._sidecar = Sidecar(**sidecar_kwargs)
+                self._output = self.canvas
+                with self._sidecar:
+                    return display(self.canvas)
+            self._output = self.canvas
+            return self._output
 
-            self._output = QOutputContext(
-                frame=self, make_toolbar=toolbar, add_widgets=add_widgets
-            )
+        elif self.canvas.__class__.__name__ == "QRenderCanvas":
+            self._output = self.canvas
+            self._output.show()
+            return self.canvas
 
-        else:  # assume GLFW, the output context is just the canvas
+        elif self.canvas.__class__.__name__ == "OffscreenRenderCanvas":
+            # for test and docs gallery screenshots
+            for subplot in self:
+                subplot.set_viewport_rect()
+                subplot.axes.update_using_camera()
+
+                # render call is blocking only on github actions for some reason,
+                # but not for rtd build, this is a workaround
+                # for CI tests, the render call works if it's in test_examples
+                # but it is necessary for the gallery images too so that's why this check is here
+                if "RTD_BUILD" in os.environ.keys():
+                    if os.environ["RTD_BUILD"] == "1":
+                        self.render()
+
+        else:  # assume GLFW
             self._output = self.canvas
 
-        # return the output context, this call is required for jupyter but not for Qt
+        # return the canvas
         return self._output
 
     def close(self):
-        self.output.close()
+        self._output.close()
+        if self._sidecar:
+            self._sidecar.close()
 
     def _call_animate_functions(self, funcs: list[callable]):
         for fn in funcs:
@@ -580,6 +568,37 @@ def clear(self):
         for subplot in self:
             subplot.clear()
 
+    def export_numpy(self, rgb: bool = False) -> np.ndarray:
+        """
+        Export a snapshot of the Figure as numpy array.
+
+        Parameters
+        ----------
+        rgb: bool, default ``False``
+            if True, use alpha blending to return an RGB image.
+            if False, returns an RGBA array
+
+        Returns
+        -------
+        np.ndarray
+            [n_rows, n_cols, 3] for RGB or [n_rows, n_cols, 4] for RGBA
+        """
+        snapshot = self.renderer.snapshot()
+
+        if rgb:
+            bg = np.zeros(snapshot.shape).astype(np.uint8)
+            bg[:, :, -1] = 255
+
+            img_alpha = snapshot[..., -1] / 255
+
+            rgb = snapshot[..., :-1] * img_alpha[..., None] + bg[..., :-1] * np.ones(
+                img_alpha.shape
+            )[..., None] * (1 - img_alpha[..., None])
+
+            return rgb.astype(np.uint8)
+
+        return snapshot
+
     def export(self, uri: str | Path | bytes, **kwargs):
         """
         Use ``imageio`` for writing the current Figure to a file, or return a byte string.
@@ -605,27 +624,40 @@ def export(self, uri: str | Path | bytes, **kwargs):
                 "conda install -c conda-forge imageio\n"
             )
         else:
-            snapshot = self.renderer.snapshot()
-            remove_alpha = True
-
             # image formats that support alpha channel:
             # https://en.wikipedia.org/wiki/Alpha_compositing#Image_formats_supporting_alpha_channels
             alpha_support = [".png", ".exr", ".tiff", ".tif", ".gif", ".jxl", ".svg"]
 
-            if isinstance(uri, str):
-                if any([uri.endswith(ext) for ext in alpha_support]):
-                    remove_alpha = False
+            uri = Path(uri)
 
-            elif isinstance(uri, Path):
-                if uri.suffix in alpha_support:
-                    remove_alpha = False
+            if uri.suffix in alpha_support:
+                rgb = False
+            else:
+                rgb = True
 
-            if remove_alpha:
-                # remove alpha channel if it's not supported
-                snapshot = snapshot[..., :-1].shape
+            snapshot = self.export_numpy(rgb=rgb)
 
             return iio.imwrite(uri, snapshot, **kwargs)
 
+    def open_popup(self, *args, **kwargs):
+        warn("popups only supported by ImguiFigure")
+
+    def get_pygfx_render_area(self, *args) -> tuple[int, int, int, int]:
+        """
+        Fet rect for the portion of the canvas that the pygfx renderer draws to,
+        i.e. non-imgui, part of canvas
+
+        Returns
+        -------
+        tuple[int, int, int, int]
+            x_pos, y_pos, width, height
+
+        """
+
+        width, height = self.canvas.get_logical_size()
+
+        return 0, 0, width, height
+
     def _get_iterator(self):
         return product(range(self.shape[0]), range(self.shape[1]))
 
@@ -653,157 +685,3 @@ def __repr__(self):
             f"\t{newline.join(subplot.__str__() for subplot in self)}"
             f"\n"
         )
-
-
-class FigureRecorder:
-    def __init__(self, figure: Figure):
-        self._figure = figure
-        self._video_writer: VideoWriterAV = None
-        self._video_writer_queue = Queue()
-        self._record_fps = 25
-        self._record_timer = 0
-        self._record_start_time = 0
-
-    def _record(self):
-        """
-        Sends frame to VideoWriter through video writer queue
-        """
-        # current time
-        t = time()
-
-        # put frame in queue only if enough time as passed according to the desired framerate
-        # otherwise it tries to record EVERY frame on every rendering cycle, which just blocks the rendering
-        if t - self._record_timer < (1 / self._record_fps):
-            return
-
-        # reset timer
-        self._record_timer = t
-
-        if self._video_writer is not None:
-            ss = self._figure.canvas.snapshot()
-            # exclude alpha channel
-            self._video_writer_queue.put(ss.data[..., :-1])
-
-    def start(
-        self,
-        path: str | Path,
-        fps: int = 25,
-        codec: str = "mpeg4",
-        pixel_format: str = "yuv420p",
-        options: dict = None,
-    ):
-        """
-        Start a recording, experimental. Call ``record_end()`` to end a recording.
-        Note: playback duration does not exactly match recording duration.
-
-        Requires PyAV: https://github.com/PyAV-Org/PyAV
-
-        **Do not resize canvas during a recording, the width and height must remain constant!**
-
-        Parameters
-        ----------
-        path: str or Path
-            path to save the recording
-
-        fps: int, default ``25``
-            framerate, do not use > 25 within jupyter
-
-        codec: str, default "mpeg4"
-            codec to use, see ``ffmpeg`` list: https://www.ffmpeg.org/ffmpeg-codecs.html .
-            In general, ``"mpeg4"`` should work on most systems. ``"libx264"`` is a
-            better option if you have it installed.
-
-        pixel_format: str, default "yuv420p"
-            pixel format
-
-        options: dict, optional
-            Codec options. For example, if using ``"mpeg4"`` you can use ``{"q:v": "20"}`` to set the quality between
-            1-31, where "1" is highest and "31" is lowest. If using ``"libx264"``` you can use ``{"crf": "30"}`` where
-            the "crf" value is between "0" (highest quality) and "50" (lowest quality). See ``ffmpeg`` docs for more
-            info on codec options
-
-        Examples
-        --------
-
-        With ``"mpeg4"``
-
-        .. code-block:: python
-
-            # start recording video
-            figure.recorder.start("./video.mp4", options={"q:v": "20"}
-
-            # do stuff like interacting with the plot, change things, etc.
-
-            # end recording
-            figure.recorder.stop()
-
-        With ``"libx264"``
-
-        .. code-block:: python
-
-            # start recording video
-            figure.recorder.start("./vid_x264.mp4", codec="libx264", options={"crf": "25"})
-
-            # do stuff like interacting with the plot, change things, etc.
-
-            # end recording
-            figure.recorder.stop()
-
-        """
-
-        if Path(path).exists():
-            raise FileExistsError(f"File already exists at given path: {path}")
-
-        # queue for sending frames to VideoWriterAV process
-        self._video_writer_queue = Queue()
-
-        # snapshot to get canvas width height
-        ss = self._figure.canvas.snapshot()
-
-        # writer process
-        self._video_writer = VideoWriterAV(
-            path=str(path),
-            queue=self._video_writer_queue,
-            fps=int(fps),
-            width=ss.width,
-            height=ss.height,
-            codec=codec,
-            pixel_format=pixel_format,
-            options=options,
-        )
-
-        # start writer process
-        self._video_writer.start()
-
-        # 1.3 seems to work well to reduce that difference between playback time and recording time
-        # will properly investigate later
-        self._record_fps = fps * 1.3
-        self._record_start_time = time()
-
-        # record timer used to maintain desired framerate
-        self._record_timer = time()
-
-        self._figure.add_animations(self._record)
-
-    def stop(self) -> float:
-        """
-        End a current recording. Returns the real duration of the recording
-
-        Returns
-        -------
-        float
-            recording duration
-        """
-
-        # tell video writer that recording has finished
-        self._video_writer_queue.put(None)
-
-        # wait for writer to finish
-        self._video_writer.join(timeout=5)
-
-        self._video_writer = None
-
-        # so self._record() is no longer called on every render cycle
-        self._figure.remove_animation(self._record)
-
-        return time() - self._record_start_time
diff --git a/fastplotlib/layouts/_graphic_methods_mixin.py b/fastplotlib/layouts/_graphic_methods_mixin.py
index 387549ade..ea553f119 100644
--- a/fastplotlib/layouts/_graphic_methods_mixin.py
+++ b/fastplotlib/layouts/_graphic_methods_mixin.py
@@ -3,7 +3,6 @@
 from typing import *
 
 import numpy
-import weakref
 
 from ..graphics import *
 from ..graphics._base import Graphic
@@ -25,8 +24,7 @@ def _create_graphic(self, graphic_class, *args, **kwargs) -> Graphic:
         graphic = graphic_class(*args, **kwargs)
         self.add_graphic(graphic, center=center)
 
-        # only return a proxy to the real graphic
-        return weakref.proxy(graphic)
+        return graphic
 
     def add_image(
         self,
diff --git a/fastplotlib/layouts/_imgui_figure.py b/fastplotlib/layouts/_imgui_figure.py
new file mode 100644
index 000000000..8621f4464
--- /dev/null
+++ b/fastplotlib/layouts/_imgui_figure.py
@@ -0,0 +1,243 @@
+from pathlib import Path
+from typing import Literal, Iterable
+
+import numpy as np
+
+import imgui_bundle
+from imgui_bundle import imgui, icons_fontawesome_6 as fa
+
+from wgpu.utils.imgui import ImguiRenderer
+from rendercanvas import BaseRenderCanvas
+
+import pygfx
+
+from ._figure import Figure
+from ._utils import make_canvas_and_renderer
+from ..ui import EdgeWindow, SubplotToolbar, StandardRightClickMenu, Popup, GUI_EDGES
+from ..ui import ColormapPicker
+
+
+class ImguiFigure(Figure):
+    def __init__(
+        self,
+        shape: tuple[int, int] = (1, 1),
+        cameras: (
+            Literal["2d", "3d"]
+            | Iterable[Iterable[Literal["2d", "3d"]]]
+            | pygfx.PerspectiveCamera
+            | Iterable[Iterable[pygfx.PerspectiveCamera]]
+        ) = "2d",
+        controller_types: (
+            Iterable[Iterable[Literal["panzoom", "fly", "trackball", "orbit"]]]
+            | Iterable[Literal["panzoom", "fly", "trackball", "orbit"]]
+        ) = None,
+        controller_ids: (
+            Literal["sync"]
+            | Iterable[int]
+            | Iterable[Iterable[int]]
+            | Iterable[Iterable[str]]
+        ) = None,
+        controllers: pygfx.Controller | Iterable[Iterable[pygfx.Controller]] = None,
+        canvas: str | BaseRenderCanvas | pygfx.Texture = None,
+        renderer: pygfx.WgpuRenderer = None,
+        size: tuple[int, int] = (500, 300),
+        names: list | np.ndarray = None,
+    ):
+        self._guis: dict[str, EdgeWindow] = {k: None for k in GUI_EDGES}
+
+        canvas, renderer = make_canvas_and_renderer(
+            canvas, renderer, canvas_kwargs={"size": size}
+        )
+        self._imgui_renderer = ImguiRenderer(renderer.device, canvas)
+
+        super().__init__(
+            shape=shape,
+            cameras=cameras,
+            controller_types=controller_types,
+            controller_ids=controller_ids,
+            controllers=controllers,
+            canvas=canvas,
+            renderer=renderer,
+            size=size,
+            names=names,
+        )
+
+        fronts_path = str(
+            Path(imgui_bundle.__file__).parent.joinpath(
+                "assets", "fonts", "Font_Awesome_6_Free-Solid-900.otf"
+            )
+        )
+
+        io = imgui.get_io()
+
+        self._fa_icons = io.fonts.add_font_from_file_ttf(
+            fronts_path, 16, glyph_ranges_as_int_list=[fa.ICON_MIN_FA, fa.ICON_MAX_FA]
+        )
+
+        io.fonts.build()
+        self.imgui_renderer.backend.create_fonts_texture()
+
+        self.imgui_renderer.set_gui(self._draw_imgui)
+
+        self._subplot_toolbars: np.ndarray[SubplotToolbar] = np.empty(
+            shape=self._subplots.shape, dtype=object
+        )
+
+        for subplot in self._subplots.ravel():
+            toolbar = SubplotToolbar(subplot=subplot, fa_icons=self._fa_icons)
+            self._subplot_toolbars[subplot.position] = toolbar
+
+        self._right_click_menu = StandardRightClickMenu(
+            figure=self, fa_icons=self._fa_icons
+        )
+
+        self._popups: dict[str, Popup] = {}
+
+        self.register_popup(ColormapPicker)
+
+    @property
+    def guis(self) -> dict[str, EdgeWindow]:
+        """GUI windows added to the Figure"""
+        return self._guis
+
+    @property
+    def imgui_renderer(self) -> ImguiRenderer:
+        """imgui renderer"""
+        return self._imgui_renderer
+
+    def render(self, draw=False):
+        super().render(draw)
+
+        self.imgui_renderer.render()
+        self.canvas.request_draw()
+
+    def _draw_imgui(self) -> imgui.ImDrawData:
+        imgui.new_frame()
+
+        for subplot, toolbar in zip(
+            self._subplots.ravel(), self._subplot_toolbars.ravel()
+        ):
+            if not subplot.toolbar:
+                # if subplot.toolbar is False
+                continue
+            toolbar.update()
+
+        for gui in self.guis.values():
+            if gui is not None:
+                gui.draw_window()
+
+        for popup in self._popups.values():
+            popup.update()
+
+        self._right_click_menu.update()
+
+        imgui.end_frame()
+
+        imgui.render()
+
+        return imgui.get_draw_data()
+
+    def add_gui(self, gui: EdgeWindow):
+        """
+        Add a GUI to the Figure. GUIs can be added to the top, bottom, left or right edge.
+
+        Parameters
+        ----------
+        gui: EdgeWindow
+            A GUI EdgeWindow instance
+
+        """
+        if not isinstance(gui, EdgeWindow):
+            raise TypeError(
+                f"GUI must be of type: {EdgeWindow} you have passed a {type(gui)}"
+            )
+
+        location = gui.location
+
+        if location not in GUI_EDGES:
+            raise ValueError(
+                f"GUI does not have a valid location, valid locations are: {GUI_EDGES}, you have passed: {location}"
+            )
+
+        if self.guis[location] is not None:
+            raise ValueError(f"GUI already exists in the desired location: {location}")
+
+        self.guis[location] = gui
+
+        self._reset_viewports()
+
+    def get_pygfx_render_area(self, *args) -> tuple[int, int, int, int]:
+        """
+        Fet rect for the portion of the canvas that the pygfx renderer draws to,
+        i.e. non-imgui, part of canvas
+
+        Returns
+        -------
+        tuple[int, int, int, int]
+            x_pos, y_pos, width, height
+
+        """
+
+        width, height = self.canvas.get_logical_size()
+
+        for edge in ["left", "right"]:
+            if self.guis[edge]:
+                width -= self._guis[edge].size
+
+        for edge in ["top", "bottom"]:
+            if self.guis[edge]:
+                height -= self._guis[edge].size
+
+        if self.guis["left"]:
+            xpos = self.guis["left"].size
+        else:
+            xpos = 0
+
+        if self.guis["top"]:
+            ypos = self.guis["top"].size
+        else:
+            ypos = 0
+
+        return xpos, ypos, max(1, width), max(1, height)
+
+    def _reset_viewports(self):
+        # TODO: think about moving this to Figure later,
+        #  maybe also refactor Subplot and PlotArea so that
+        #  the resize event is handled at the Figure level instead
+        for subplot in self:
+            subplot.set_viewport_rect()
+            for dock in subplot.docks.values():
+                dock.set_viewport_rect()
+
+    def register_popup(self, popup: Popup.__class__):
+        """
+        Register a popup class. Note that this takes the class, not an instance
+
+        Parameters
+        ----------
+        popup: Popup subclass
+
+        """
+        self._popups[popup.name] = popup(self)
+
+    def open_popup(self, name: str, pos: tuple[int, int], **kwargs):
+        """
+        Open a registered popup
+
+        Parameters
+        ----------
+        name: str
+            The registered name of the popup
+
+        pos: int, int
+            x_pos, y_pos for the popup
+
+        kwargs
+            any additional kwargs to pass to the Popup's open() method
+
+        """
+
+        if self._popups[name].is_open:
+            return
+
+        self._popups[name].open(pos, **kwargs)
diff --git a/fastplotlib/layouts/_plot_area.py b/fastplotlib/layouts/_plot_area.py
index d8e0adebc..e096a7f21 100644
--- a/fastplotlib/layouts/_plot_area.py
+++ b/fastplotlib/layouts/_plot_area.py
@@ -1,96 +1,30 @@
 from inspect import getfullargspec
-from sys import getrefcount
-from typing import TypeAlias, Literal, Union
-import weakref
+from typing import Literal, Union
 from warnings import warn
 
 import numpy as np
 
 import pygfx
 from pylinalg import vec_transform, vec_unproject
-from wgpu.gui import WgpuCanvasBase
+from rendercanvas import BaseRenderCanvas
 
 from ._utils import create_controller
 from ..graphics._base import Graphic
-from ..graphics._collection_base import GraphicCollection
 from ..graphics.selectors._base_selector import BaseSelector
 from ..legends import Legend
 
 
-HexStr: TypeAlias = str
-
-
-class References:
-    """
-    This is the only place where the real graphic objects are stored. Everywhere else gets a proxy.
-    """
-
-    _graphics: dict[HexStr, Graphic] = dict()
-    _selectors: dict[HexStr, BaseSelector] = dict()
-    _legends: dict[HexStr, Legend] = dict()
-
-    def add(self, graphic: Graphic | BaseSelector | Legend):
-        """Adds the real graphic to the dict"""
-        addr = graphic._fpl_address
-
-        if isinstance(graphic, BaseSelector):
-            self._selectors[addr] = graphic
-
-        elif isinstance(graphic, Legend):
-            self._legends[addr] = graphic
-
-        elif isinstance(graphic, Graphic):
-            self._graphics[addr] = graphic
-
-        else:
-            raise TypeError("Can only add Graphic, Selector or Legend types")
-
-    def remove(self, address):
-        if address in self._graphics.keys():
-            del self._graphics[address]
-        elif address in self._selectors.keys():
-            del self._selectors[address]
-        elif address in self._legends.keys():
-            del self._legends[address]
-        else:
-            raise KeyError(f"graphic with address not found: {address}")
-
-    def get_proxies(self, refs: list[HexStr]) -> tuple[weakref.proxy]:
-        proxies = list()
-        for key in refs:
-            if key in self._graphics.keys():
-                proxies.append(weakref.proxy(self._graphics[key]))
-
-            elif key in self._selectors.keys():
-                proxies.append(weakref.proxy(self._selectors[key]))
-
-            elif key in self._legends.keys():
-                proxies.append(weakref.proxy(self._legends[key]))
-
-            else:
-                raise KeyError(f"graphic object with address not found: {key}")
-
-        return tuple(proxies)
-
-    def get_refcounts(self) -> dict[HexStr:int]:
-        counts = dict()
-
-        for item in (self._graphics, self._selectors, self._legends):
-            for k in item.keys():
-                counts[(k, item[k].name, item[k].__class__.__name__)] = getrefcount(
-                    item[k]
-                )
-
-        return counts
-
-
-REFERENCES = References()
+try:
+    get_ipython()
+except NameError:
+    IS_IPYTHON = False
+    IPYTHON = None
+else:
+    IS_IPYTHON = True
+    IPYTHON = get_ipython()
 
 
 class PlotArea:
-    def get_refcounts(self):
-        return REFERENCES.get_refcounts()
-
     def __init__(
         self,
         parent: Union["PlotArea", "Figure"],
@@ -98,7 +32,7 @@ def __init__(
         camera: pygfx.PerspectiveCamera,
         controller: pygfx.Controller,
         scene: pygfx.Scene,
-        canvas: WgpuCanvasBase,
+        canvas: BaseRenderCanvas,
         renderer: pygfx.WgpuRenderer,
         name: str = None,
     ):
@@ -124,7 +58,7 @@ def __init__(
         scene: pygfx.Scene
             represents the root of a scene graph, will be viewed by the given ``camera``
 
-        canvas: WgpuCanvas
+        canvas: BaseRenderCanvas
             provides surface on which a scene will be rendered
 
         renderer: pygfx.WgpuRenderer
@@ -158,22 +92,49 @@ def __init__(
 
         # list of hex id strings for all graphics managed by this PlotArea
         # the real Graphic instances are managed by REFERENCES
-        self._graphics: list[HexStr] = list()
+        self._graphics: list[Graphic] = list()
 
         # selectors are in their own list so they can be excluded from scene bbox calculations
         # managed similar to GRAPHICS for garbage collection etc.
-        self._selectors: list[HexStr] = list()
+        self._selectors: list[BaseSelector] = list()
 
         # legends, managed just like other graphics as explained above
-        self._legends: list[HexStr] = list()
+        self._legends: list[Legend] = list()
+
+        # keep all graphics in a separate group, makes bbox calculations etc. easier
+        # this is the "real scene" excluding axes, selection tools etc.
+        self._fpl_graphics_scene = pygfx.Group()
+        self.scene.add(self._fpl_graphics_scene)
 
         self._name = name
 
         # need to think about how to deal with children better
         self.children = list()
 
+        self._background_material = pygfx.BackgroundMaterial(
+            (0.0, 0.0, 0.0, 1.0),
+            (0.0, 0.0, 0.0, 1.0),
+            (0.0, 0.0, 0.0, 1.0),
+            (0.0, 0.0, 0.0, 1.0),
+        )
+        self._background = pygfx.Background(None, self._background_material)
+        self.scene.add(self._background)
+
         self.set_viewport_rect()
 
+    def get_figure(self, obj=None):
+        """Get Figure instance that contains this plot area"""
+        if obj is None:
+            obj = self
+
+        if obj.parent.__class__.__name__.endswith("Figure"):
+            return obj.parent
+        else:
+            if obj.parent is None:
+                raise RecursionError
+
+            return self.get_figure(obj=obj.parent)
+
     # several read-only properties
     @property
     def parent(self):
@@ -191,7 +152,7 @@ def scene(self) -> pygfx.Scene:
         return self._scene
 
     @property
-    def canvas(self) -> WgpuCanvasBase:
+    def canvas(self) -> BaseRenderCanvas:
         """Canvas associated to the plot area"""
         return self._canvas
 
@@ -266,7 +227,7 @@ def controller(self, new_controller: str | pygfx.Controller):
         # TODO: monkeypatch until we figure out a better
         #  pygfx plans on refactoring viewports anyways
         if self.parent is not None:
-            if self.parent.__class__.__name__ == "Figure":
+            if self.parent.__class__.__name__.endswith("Figure"):
                 for subplot in self.parent:
                     if subplot.camera in cameras_list:
                         new_controller.register_events(subplot.viewport)
@@ -276,18 +237,18 @@ def controller(self, new_controller: str | pygfx.Controller):
 
     @property
     def graphics(self) -> tuple[Graphic, ...]:
-        """Graphics in the plot area. Always returns a proxy to the Graphic instances."""
-        return REFERENCES.get_proxies(self._graphics)
+        """Graphics in the plot area."""
+        return tuple(self._graphics)
 
     @property
     def selectors(self) -> tuple[BaseSelector, ...]:
-        """Selectors in the plot area. Always returns a proxy to the Graphic instances."""
-        return REFERENCES.get_proxies(self._selectors)
+        """Selectors in the plot area."""
+        return tuple(self._selectors)
 
     @property
     def legends(self) -> tuple[Legend, ...]:
         """Legends in the plot area."""
-        return REFERENCES.get_proxies(self._legends)
+        return tuple(self._legends)
 
     @property
     def objects(self) -> tuple[Graphic | BaseSelector | Legend, ...]:
@@ -308,6 +269,21 @@ def name(self, name: str):
             raise TypeError("PlotArea `name` must be of type <str>")
         self._name = name
 
+    @property
+    def background_color(self) -> tuple[pygfx.Color, ...]:
+        """background colors, (top left, top right, bottom right, bottom left)"""
+        return (
+            self._background_material.color_top_left,
+            self._background_material.color_top_right,
+            self._background_material.color_bottom_right,
+            self._background_material.color_bottom_left,
+        )
+
+    @background_color.setter
+    def background_color(self, colors: str | tuple[float]):
+        """1, 2, or 4 colors, each color must be acceptable by pygfx.Color"""
+        self._background_material.set_colors(*colors)
+
     def get_rect(self) -> tuple[float, float, float, float]:
         """
         Returns the viewport rect to define the rectangle
@@ -462,7 +438,7 @@ def add_graphic(self, graphic: Graphic, center: bool = True):
 
         if graphic in self:
             # graphic is already in this plot but was removed from the scene, add it back
-            self.scene.add(graphic.world_object)
+            self._fpl_graphics_scene.add(graphic.world_object)
             return
 
         self._add_or_insert_graphic(graphic=graphic, center=center, action="add")
@@ -531,35 +507,28 @@ def _add_or_insert_graphic(
         if graphic.name is not None:  # skip for those that have no name
             self._check_graphic_name_exists(graphic.name)
 
-        addr = graphic._fpl_address
-
         if isinstance(graphic, BaseSelector):
-            addr_list = self._selectors
+            obj_list = self._selectors
+            self.scene.add(graphic.world_object)
 
         elif isinstance(graphic, Legend):
-            addr_list = self._legends
+            obj_list = self._legends
+            self.scene.add(graphic.world_object)
 
         elif isinstance(graphic, Graphic):
-            addr_list = self._graphics
+            obj_list = self._graphics
+            self._fpl_graphics_scene.add(graphic.world_object)
 
         else:
             raise TypeError("graphic must be of type Graphic | BaseSelector | Legend")
 
         if action == "insert":
-            addr_list.insert(index, addr)
+            obj_list.insert(index, graphic)
         elif action == "add":
-            addr_list.append(addr)
+            obj_list.append(graphic)
         else:
             raise ValueError("valid actions are 'insert' | 'add'")
 
-        REFERENCES.add(graphic)
-
-        # now that it's in the dict, just use the weakref
-        graphic = weakref.proxy(graphic)
-
-        # add world object to scene
-        self.scene.add(graphic.world_object)
-
         if center:
             self.center_graphic(graphic)
 
@@ -573,7 +542,7 @@ def _check_graphic_name_exists(self, name):
                 f"All graphics within a subplot or plot area must have a unique name."
             )
 
-    def center_graphic(self, graphic: Graphic, zoom: float = 1.35):
+    def center_graphic(self, graphic: Graphic, zoom: float = 1.0):
         """
         Center the camera w.r.t. the passed graphic
 
@@ -582,7 +551,7 @@ def center_graphic(self, graphic: Graphic, zoom: float = 1.35):
         graphic: Graphic
             The graphic instance to center on
 
-        zoom: float, default 1.3
+        zoom: float
             zoom the camera after centering
 
         """
@@ -593,23 +562,24 @@ def center_graphic(self, graphic: Graphic, zoom: float = 1.35):
         # probably because camera.show_object uses bounding sphere
         self.camera.zoom = zoom
 
-    def center_scene(self, *, zoom: float = 1.35):
+    def center_scene(self, *, zoom: float = 1.0):
         """
         Auto-center the scene, does not scale.
 
         Parameters
         ----------
-        zoom: float, default 1.3
+        zoom: float
             apply a zoom after centering the scene
 
         """
-        if not len(self.scene.children) > 0:
+
+        if not len(self._fpl_graphics_scene.children) > 0:
             return
 
         # scale all cameras associated with this controller
         # else it looks wonky
         for camera in self.controller.cameras:
-            camera.show_object(self.scene)
+            camera.show_object(self._fpl_graphics_scene)
 
             # camera.show_object can cause the camera width and height to increase so apply a zoom to compensate
             # probably because camera.show_object uses bounding sphere
@@ -619,7 +589,7 @@ def auto_scale(
         self,
         *,  # since this is often used as an event handler, don't want to coerce maintain_aspect = True
         maintain_aspect: None | bool = None,
-        zoom: float = 0.8,
+        zoom: float = 0.75,
     ):
         """
         Auto-scale the camera w.r.t to the scene
@@ -630,16 +600,13 @@ def auto_scale(
             Maintain the camera aspect ratio for all dimensions. If ``None``, the aspect is left unchanged.
             if ``False`` the camera is scaled to the bounding box of the current scene.
 
-        zoom: float, default 0.8
-            zoom value for the camera after auto-scaling, if zoom = 1.0 then the graphics
-            in the scene will fill the entire canvas.
+        zoom: float
+            zoom value for the camera after auto-scaling
+
         """
-        if not len(self.scene.children) > 0:
+
+        if not len(self._fpl_graphics_scene.children) > 0:
             return
-        # hacky workaround for now until we decide if we want to put selectors in their own scene
-        # remove all selectors from a scene to calculate scene bbox
-        for selector in self.selectors:
-            self.scene.remove(selector.world_object)
 
         self.center_scene()
 
@@ -650,8 +617,10 @@ def auto_scale(
         for camera in self.controller.cameras:
             camera.maintain_aspect = maintain_aspect
 
-        if len(self.scene.children) > 0:
-            width, height, depth = np.ptp(self.scene.get_world_bounding_box(), axis=0)
+        if len(self._fpl_graphics_scene.children) > 0:
+            width, height, depth = np.ptp(
+                self._fpl_graphics_scene.get_world_bounding_box(), axis=0
+            )
         else:
             width, height, depth = (1, 1, 1)
 
@@ -661,9 +630,6 @@ def auto_scale(
         if height < 0.01:
             height = 1
 
-        for selector in self.selectors:
-            self.scene.add(selector.world_object)
-
         # scale all cameras associated with this controller else it looks wonky
         for camera in self.controller.cameras:
             camera.width = width
@@ -684,7 +650,11 @@ def remove_graphic(self, graphic: Graphic):
 
         """
 
-        self.scene.remove(graphic.world_object)
+        if isinstance(graphic, (BaseSelector, Legend)):
+            self.scene.remove(graphic.world_object)
+
+        elif isinstance(graphic, Graphic):
+            self._fpl_graphics_scene.remove(graphic.world_object)
 
     def delete_graphic(self, graphic: Graphic):
         """
@@ -696,29 +666,38 @@ def delete_graphic(self, graphic: Graphic):
             The graphic to delete
 
         """
-        # TODO: proper gc of selectors, RAM is freed for regular graphics but not selectors
-        # TODO: references to selectors must be lingering somewhere
-        # TODO: update March 2024, I think selectors are gc properly, should check
-        # get memory address
-        address = graphic._fpl_address
-
         if graphic not in self:
             raise KeyError(f"Graphic not found in plot area: {graphic}")
 
-        # check which type it is
-        for l in [self._graphics, self._selectors, self._legends]:
-            if address in l:
-                l.remove(address)
-                break
+        if isinstance(graphic, BaseSelector):
+            self._selectors.remove(graphic)
+
+        elif isinstance(graphic, Legend):
+            self._legends.remove(graphic)
+
+        elif isinstance(graphic, Graphic):
+            self._graphics.remove(graphic)
 
         # remove from scene if necessary
         if graphic.world_object in self.scene.children:
             self.scene.remove(graphic.world_object)
 
-        # cleanup
-        graphic._fpl_cleanup()
+        elif graphic.world_object in self._fpl_graphics_scene.children:
+            self._fpl_graphics_scene.remove(graphic.world_object)
 
-        REFERENCES.remove(address)
+        # cleanup
+        graphic._fpl_prepare_del()
+
+        if IS_IPYTHON:
+            # remove any references that ipython might have made
+            # check both namespaces
+            for namespace in [IPYTHON.user_ns, IPYTHON.user_ns_hidden]:
+                # find the reference
+                for ref, obj in namespace.items():
+                    if graphic is obj:
+                        # we found the reference, remove from ipython
+                        IPYTHON.del_var(ref)
+                        break
 
     def clear(self):
         """
diff --git a/fastplotlib/layouts/_subplot.py b/fastplotlib/layouts/_subplot.py
index 059307e6b..7d52ebab2 100644
--- a/fastplotlib/layouts/_subplot.py
+++ b/fastplotlib/layouts/_subplot.py
@@ -4,27 +4,28 @@
 
 import pygfx
 
-from wgpu.gui import WgpuCanvasBase
+from rendercanvas import BaseRenderCanvas
 
 from ..graphics import TextGraphic
-from ._utils import make_canvas_and_renderer, create_camera, create_controller
+from ._utils import create_camera, create_controller
 from ._plot_area import PlotArea
 from ._graphic_methods_mixin import GraphicMethodsMixin
+from ..graphics._axes import Axes
+
+
+# number of pixels taken by the imgui toolbar when present
+IMGUI_TOOLBAR_HEIGHT = 39
 
 
 class Subplot(PlotArea, GraphicMethodsMixin):
     def __init__(
         self,
-        parent: Union["Figure", None] = None,
-        position: tuple[int, int] = None,
-        parent_dims: tuple[int, int] = None,
-        camera: Literal["2d", "3d"] | pygfx.PerspectiveCamera = "2d",
-        controller: (
-            Literal["panzoom", "fly", "trackball", "orbit"] | pygfx.Controller
-        ) = None,
-        canvas: (
-            Literal["glfw", "jupyter", "qt", "wx"] | WgpuCanvasBase | pygfx.Texture
-        ) = None,
+        parent: Union["Figure"],
+        position: tuple[int, int],
+        parent_dims: tuple[int, int],
+        camera: Literal["2d", "3d"] | pygfx.PerspectiveCamera,
+        controller: pygfx.Controller,
+        canvas: BaseRenderCanvas | pygfx.Texture,
         renderer: pygfx.WgpuRenderer = None,
         name: str = None,
     ):
@@ -55,12 +56,10 @@ def __init__(
             | if ``str``, must be one of: `"panzoom", "fly", "trackball", or "orbit"`.
             | also accepts a pygfx.Controller instance
 
-        canvas: one of "jupyter", "glfw", "qt", "ex, a WgpuCanvas, or a pygfx.Texture, optional
-            Provides surface on which a scene will be rendered. Can optionally provide a WgpuCanvas instance or a str
-            to force the PlotArea to use a specific canvas from one of the following options: "jupyter", "glfw", "qt".
-            Can also provide a pygfx Texture to render to.
+        canvas: BaseRenderCanvas, or a pygfx.Texture
+            Provides surface on which a scene will be rendered.
 
-        renderer: WgpuRenderer, optional
+        renderer: WgpuRenderer
             object used to render scenes using wgpu
 
         name: str, optional
@@ -70,8 +69,6 @@ def __init__(
 
         super(GraphicMethodsMixin, self).__init__()
 
-        canvas, renderer = make_canvas_and_renderer(canvas, renderer)
-
         if position is None:
             position = (0, 0)
 
@@ -88,14 +85,10 @@ def __init__(
 
         self.spacing = 2
 
-        self._axes: pygfx.AxesHelper = pygfx.AxesHelper(size=100)
-        for arrow in self._axes.children:
-            self._axes.remove(arrow)
-
-        self._grid: pygfx.GridHelper = pygfx.GridHelper(size=100, thickness=1)
-
         self._title_graphic: TextGraphic = None
 
+        self._toolbar = True
+
         super(Subplot, self).__init__(
             parent=parent,
             position=position,
@@ -116,6 +109,13 @@ def __init__(
         if self.name is not None:
             self.set_title(self.name)
 
+        self._axes = Axes(self)
+        self.scene.add(self.axes.world_object)
+
+    @property
+    def axes(self) -> Axes:
+        return self._axes
+
     @property
     def name(self) -> str:
         return self._name
@@ -140,6 +140,20 @@ def docks(self) -> dict:
         """
         return self._docks
 
+    @property
+    def toolbar(self) -> bool:
+        """show/hide toolbar"""
+        return self._toolbar
+
+    @toolbar.setter
+    def toolbar(self, visible: bool):
+        self._toolbar = bool(visible)
+        self.set_viewport_rect()
+
+    def render(self):
+        self.axes.update_using_camera()
+        super().render()
+
     def set_title(self, text: str):
         """Sets the plot title, stored as a ``TextGraphic`` in the "top" dock area"""
         if text is None:
@@ -166,41 +180,54 @@ def center_title(self):
         self.docks["top"].center_graphic(self._title_graphic, zoom=1.5)
         self._title_graphic.world_object.position_y = -3.5
 
-    def get_rect(self):
-        """Returns the bounding box that defines the Subplot within the canvas."""
+    def get_rect(self) -> np.ndarray:
+        """
+        Returns the bounding box that defines the Subplot within the canvas.
+
+        Returns
+        -------
+        np.ndarray
+            x_position, y_position, width, height
+
+        """
         row_ix, col_ix = self.position
-        width_canvas, height_canvas = self.renderer.logical_size
+
+        x_start_render, y_start_render, width_canvas_render, height_canvas_render = (
+            self.parent.get_pygfx_render_area()
+        )
 
         x_pos = (
-            (width_canvas / self.ncols) + ((col_ix - 1) * (width_canvas / self.ncols))
-        ) + self.spacing
+            (
+                (width_canvas_render / self.ncols)
+                + ((col_ix - 1) * (width_canvas_render / self.ncols))
+            )
+            + self.spacing
+            + x_start_render
+        )
         y_pos = (
-            (height_canvas / self.nrows) + ((row_ix - 1) * (height_canvas / self.nrows))
-        ) + self.spacing
-        width_subplot = (width_canvas / self.ncols) - self.spacing
-        height_subplot = (height_canvas / self.nrows) - self.spacing
+            (
+                (height_canvas_render / self.nrows)
+                + ((row_ix - 1) * (height_canvas_render / self.nrows))
+            )
+            + self.spacing
+            + y_start_render
+        )
+        width_subplot = (width_canvas_render / self.ncols) - self.spacing
+        height_subplot = (height_canvas_render / self.nrows) - self.spacing
+
+        if self.parent.__class__.__name__ == "ImguiFigure" and self.toolbar:
+            # leave space for imgui toolbar
+            height_subplot -= IMGUI_TOOLBAR_HEIGHT
 
-        rect = np.array([x_pos, y_pos, width_subplot, height_subplot])
+        # clip so that min values are always 1, otherwise JupyterRenderCanvas causes issues because it
+        # initializes with a width of (0, 0)
+        rect = np.array([x_pos, y_pos, width_subplot, height_subplot]).clip(1)
 
         for dv in self.docks.values():
             rect = rect + dv.get_parent_rect_adjust()
 
         return rect
 
-    def set_axes_visibility(self, visible: bool):
-        """Toggles axes visibility."""
-        if visible:
-            self.scene.add(self._axes)
-        else:
-            self.scene.remove(self._axes)
-
-    def set_grid_visibility(self, visible: bool):
-        """Toggles grid visibility."""
-        if visible:
-            self.scene.add(self._grid)
-        else:
-            self.scene.remove(self._grid)
-
 
 class Dock(PlotArea):
     _valid_positions = ["right", "left", "top", "bottom"]
@@ -240,73 +267,93 @@ def size(self, s: int):
         self.set_viewport_rect()
 
     def get_rect(self, *args):
+        """
+        Returns the bounding box that defines this dock area within the canvas.
+
+        Returns
+        -------
+        np.ndarray
+            x_position, y_position, width, height
+        """
         if self.size == 0:
             self.viewport.rect = None
             return
 
         row_ix_parent, col_ix_parent = self.parent.position
-        width_canvas, height_canvas = self.parent.renderer.logical_size
+
+        x_start_render, y_start_render, width_render_canvas, height_render_canvas = (
+            self.parent.parent.get_pygfx_render_area()
+        )
 
         spacing = 2  # spacing in pixels
 
         if self.position == "right":
             x_pos = (
-                (width_canvas / self.parent.ncols)
-                + ((col_ix_parent - 1) * (width_canvas / self.parent.ncols))
-                + (width_canvas / self.parent.ncols)
+                (width_render_canvas / self.parent.ncols)
+                + ((col_ix_parent - 1) * (width_render_canvas / self.parent.ncols))
+                + (width_render_canvas / self.parent.ncols)
                 - self.size
             )
             y_pos = (
-                (height_canvas / self.parent.nrows)
-                + ((row_ix_parent - 1) * (height_canvas / self.parent.nrows))
+                (height_render_canvas / self.parent.nrows)
+                + ((row_ix_parent - 1) * (height_render_canvas / self.parent.nrows))
             ) + spacing
             width_viewport = self.size
-            height_viewport = (height_canvas / self.parent.nrows) - spacing
+            height_viewport = (height_render_canvas / self.parent.nrows) - spacing
 
         elif self.position == "left":
-            x_pos = (width_canvas / self.parent.ncols) + (
-                (col_ix_parent - 1) * (width_canvas / self.parent.ncols)
+            x_pos = (width_render_canvas / self.parent.ncols) + (
+                (col_ix_parent - 1) * (width_render_canvas / self.parent.ncols)
             )
             y_pos = (
-                (height_canvas / self.parent.nrows)
-                + ((row_ix_parent - 1) * (height_canvas / self.parent.nrows))
+                (height_render_canvas / self.parent.nrows)
+                + ((row_ix_parent - 1) * (height_render_canvas / self.parent.nrows))
             ) + spacing
             width_viewport = self.size
-            height_viewport = (height_canvas / self.parent.nrows) - spacing
+            height_viewport = (height_render_canvas / self.parent.nrows) - spacing
 
         elif self.position == "top":
             x_pos = (
-                (width_canvas / self.parent.ncols)
-                + ((col_ix_parent - 1) * (width_canvas / self.parent.ncols))
+                (width_render_canvas / self.parent.ncols)
+                + ((col_ix_parent - 1) * (width_render_canvas / self.parent.ncols))
                 + spacing
             )
             y_pos = (
-                (height_canvas / self.parent.nrows)
-                + ((row_ix_parent - 1) * (height_canvas / self.parent.nrows))
+                (height_render_canvas / self.parent.nrows)
+                + ((row_ix_parent - 1) * (height_render_canvas / self.parent.nrows))
             ) + spacing
-            width_viewport = (width_canvas / self.parent.ncols) - spacing
+            width_viewport = (width_render_canvas / self.parent.ncols) - spacing
             height_viewport = self.size
 
         elif self.position == "bottom":
             x_pos = (
-                (width_canvas / self.parent.ncols)
-                + ((col_ix_parent - 1) * (width_canvas / self.parent.ncols))
+                (width_render_canvas / self.parent.ncols)
+                + ((col_ix_parent - 1) * (width_render_canvas / self.parent.ncols))
                 + spacing
             )
             y_pos = (
                 (
-                    (height_canvas / self.parent.nrows)
-                    + ((row_ix_parent - 1) * (height_canvas / self.parent.nrows))
+                    (height_render_canvas / self.parent.nrows)
+                    + ((row_ix_parent - 1) * (height_render_canvas / self.parent.nrows))
                 )
-                + (height_canvas / self.parent.nrows)
+                + (height_render_canvas / self.parent.nrows)
                 - self.size
             )
-            width_viewport = (width_canvas / self.parent.ncols) - spacing
+            width_viewport = (width_render_canvas / self.parent.ncols) - spacing
             height_viewport = self.size
         else:
             raise ValueError("invalid position")
 
-        return [x_pos, y_pos, width_viewport, height_viewport]
+        if self.parent.__class__.__name__ == "ImguiFigure" and self.parent.toolbar:
+            # leave space for imgui toolbar
+            height_viewport -= IMGUI_TOOLBAR_HEIGHT
+
+        return [
+            x_pos + x_start_render,
+            y_pos + y_start_render,
+            width_viewport,
+            height_viewport,
+        ]
 
     def get_parent_rect_adjust(self):
         if self.position == "right":
diff --git a/fastplotlib/layouts/_utils.py b/fastplotlib/layouts/_utils.py
index 85c35532c..b42971570 100644
--- a/fastplotlib/layouts/_utils.py
+++ b/fastplotlib/layouts/_utils.py
@@ -2,13 +2,14 @@
 
 import pygfx
 from pygfx import WgpuRenderer, Texture, Renderer
-from wgpu.gui import WgpuCanvasBase
 
-from ..utils import gui
+from ..utils.gui import BaseRenderCanvas, RenderCanvas
 
 
 def make_canvas_and_renderer(
-    canvas: str | WgpuCanvasBase | Texture | None, renderer: Renderer | None
+    canvas: str | BaseRenderCanvas | Texture | None,
+    renderer: Renderer | None,
+    canvas_kwargs: dict,
 ):
     """
     Parses arguments and returns the appropriate canvas and renderer instances
@@ -16,14 +17,16 @@ def make_canvas_and_renderer(
     """
 
     if canvas is None:
-        canvas = gui.WgpuCanvas(max_fps=60)
+        canvas = RenderCanvas(max_fps=60, **canvas_kwargs)
     elif isinstance(canvas, str):
-        m = importlib.import_module("wgpu.gui." + canvas)
-        canvas = m.WgpuCanvas(max_fps=60)
-    elif not isinstance(canvas, (WgpuCanvasBase, Texture)):
+        import rendercanvas
+
+        m = importlib.import_module("rendercanvas." + canvas)
+        canvas = m.RenderCanvas(max_fps=60, **canvas_kwargs)
+    elif not isinstance(canvas, (BaseRenderCanvas, Texture)):
         raise TypeError(
-            f"canvas option must either be a valid WgpuCanvas implementation, a pygfx Texture"
-            f" or a str with the wgpu gui backend name."
+            f"canvas option must either be a valid BaseRenderCanvas implementation, a pygfx Texture"
+            f" or a str with the gui backend name, valid str are: 'qt', 'glfw', 'jupyter', 'wx', and 'offscreen'"
         )
 
     if renderer is None:
diff --git a/fastplotlib/layouts/output/__init__.py b/fastplotlib/layouts/output/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/fastplotlib/layouts/output/_ipywidget_toolbar.py b/fastplotlib/layouts/output/_ipywidget_toolbar.py
deleted file mode 100644
index 787c8d442..000000000
--- a/fastplotlib/layouts/output/_ipywidget_toolbar.py
+++ /dev/null
@@ -1,202 +0,0 @@
-import traceback
-from datetime import datetime
-from itertools import product
-from math import copysign
-from pathlib import Path
-
-from ipywidgets.widgets import (
-    HBox,
-    ToggleButton,
-    Dropdown,
-    Layout,
-    Button,
-    Image,
-)
-
-from ...graphics.selectors import PolygonSelector
-from ._toolbar import ToolBar
-from ...utils import config
-
-
-class IpywidgetToolBar(HBox, ToolBar):
-    """Basic toolbar using ipywidgets"""
-
-    def __init__(self, figure):
-        ToolBar.__init__(self, figure)
-
-        self._auto_scale_button = Button(
-            value=False,
-            disabled=False,
-            icon="expand-arrows-alt",
-            layout=Layout(width="auto"),
-            tooltip="auto-scale scene",
-        )
-        self._center_scene_button = Button(
-            value=False,
-            disabled=False,
-            icon="align-center",
-            layout=Layout(width="auto"),
-            tooltip="auto-center scene",
-        )
-        self._panzoom_controller_button = ToggleButton(
-            value=True,
-            disabled=False,
-            icon="hand-pointer",
-            layout=Layout(width="auto"),
-            tooltip="panzoom controller",
-        )
-        self._maintain_aspect_button = ToggleButton(
-            value=True,
-            disabled=False,
-            description="1:1",
-            layout=Layout(width="auto"),
-            tooltip="maintain aspect",
-        )
-        self._maintain_aspect_button.style.font_weight = "bold"
-
-        self._y_direction_button = Button(
-            value=False,
-            disabled=False,
-            icon="arrow-up",
-            layout=Layout(width="auto"),
-            tooltip="y-axis direction",
-        )
-
-        self._record_button = ToggleButton(
-            value=False,
-            disabled=False,
-            icon="video",
-            layout=Layout(width="auto"),
-            tooltip="record",
-        )
-
-        self._add_polygon_button = Button(
-            value=False,
-            disabled=False,
-            icon="draw-polygon",
-            layout=Layout(width="auto"),
-            tooltip="add PolygonSelector",
-        )
-
-        widgets = [
-            self._auto_scale_button,
-            self._center_scene_button,
-            self._panzoom_controller_button,
-            self._maintain_aspect_button,
-            self._y_direction_button,
-            self._add_polygon_button,
-            self._record_button,
-        ]
-
-        if config.party_parrot:
-            gif_path = Path(__file__).parent.parent.parent.joinpath("assets", "egg.gif")
-            with open(gif_path, "rb") as f:
-                gif = f.read()
-
-            image = Image(
-                value=gif,
-                format="png",
-                width=35,
-                height=25,
-            )
-            widgets.append(image)
-
-        positions = list(
-            product(range(self.figure.shape[0]), range(self.figure.shape[1]))
-        )
-        values = list()
-        for pos in positions:
-            if self.figure[pos].name is not None:
-                values.append(self.figure[pos].name)
-            else:
-                values.append(str(pos))
-
-        self._dropdown = Dropdown(
-            options=values,
-            disabled=False,
-            description="Subplots:",
-            layout=Layout(width="200px"),
-        )
-
-        self.figure.renderer.add_event_handler(self.update_current_subplot, "click")
-
-        widgets.append(self._dropdown)
-
-        self._panzoom_controller_button.observe(self.panzoom_handler, "value")
-        self._auto_scale_button.on_click(self.auto_scale_handler)
-        self._center_scene_button.on_click(self.center_scene_handler)
-        self._maintain_aspect_button.observe(self.maintain_aspect_handler, "value")
-        self._y_direction_button.on_click(self.y_direction_handler)
-        self._add_polygon_button.on_click(self.add_polygon)
-        self._record_button.observe(self.record_plot, "value")
-
-        # set initial values for some buttons
-        self._maintain_aspect_button.value = self.current_subplot.camera.maintain_aspect
-
-        if copysign(1, self.current_subplot.camera.local.scale_y) == -1:
-            self._y_direction_button.icon = "arrow-down"
-        else:
-            self._y_direction_button.icon = "arrow-up"
-
-        super().__init__(widgets)
-
-    def _get_subplot_dropdown_value(self) -> str:
-        return self._dropdown.value
-
-    def auto_scale_handler(self, obj):
-        self.current_subplot.auto_scale(
-            maintain_aspect=self.current_subplot.camera.maintain_aspect
-        )
-
-    def center_scene_handler(self, obj):
-        self.current_subplot.center_scene()
-
-    def panzoom_handler(self, obj):
-        self.current_subplot.controller.enabled = self._panzoom_controller_button.value
-
-    def maintain_aspect_handler(self, obj):
-        for camera in self.current_subplot.controller.cameras:
-            camera.maintain_aspect = self._maintain_aspect_button.value
-
-    def y_direction_handler(self, obj):
-        # flip every camera under the same controller
-        for camera in self.current_subplot.controller.cameras:
-            camera.local.scale_y *= -1
-
-        if copysign(1, self.current_subplot.camera.local.scale_y) == -1:
-            self._y_direction_button.icon = "arrow-down"
-        else:
-            self._y_direction_button.icon = "arrow-up"
-
-    def update_current_subplot(self, ev):
-        for subplot in self.figure:
-            pos = subplot.map_screen_to_world((ev.x, ev.y))
-            if pos is not None:
-                # update self.dropdown
-                if subplot.name is None:
-                    self._dropdown.value = str(subplot.position)
-                else:
-                    self._dropdown.value = subplot.name
-                self._panzoom_controller_button.value = subplot.controller.enabled
-                self._maintain_aspect_button.value = subplot.camera.maintain_aspect
-
-                if copysign(1, subplot.camera.local.scale_y) == -1:
-                    self._y_direction_button.icon = "arrow-down"
-                else:
-                    self._y_direction_button.icon = "arrow-up"
-
-    def record_plot(self, obj):
-        if self._record_button.value:
-            try:
-                self.figure.recorder.start(
-                    f"./{datetime.now().isoformat(timespec='seconds').replace(':', '_')}.mp4"
-                )
-            except Exception:
-                traceback.print_exc()
-                self._record_button.value = False
-        else:
-            self.figure.recorder.stop()
-
-    def add_polygon(self, obj):
-        ps = PolygonSelector(edge_width=3, edge_color="magenta")
-        self.current_subplot.add_graphic(ps, center=False)
diff --git a/fastplotlib/layouts/output/_qt_toolbar.py b/fastplotlib/layouts/output/_qt_toolbar.py
deleted file mode 100644
index 4334f1369..000000000
--- a/fastplotlib/layouts/output/_qt_toolbar.py
+++ /dev/null
@@ -1,125 +0,0 @@
-from datetime import datetime
-from math import copysign
-import traceback
-
-from ...utils.gui import QtWidgets
-from ...graphics.selectors import PolygonSelector
-from ._toolbar import ToolBar
-from ._qtoolbar_template import Ui_QToolbar
-
-
-class QToolbar(
-    ToolBar, QtWidgets.QWidget
-):  # inheritance order MUST be Toolbar first, QWidget second! Else breaks
-    """Toolbar for Qt context"""
-
-    def __init__(self, output_context, figure):
-        QtWidgets.QWidget.__init__(self, parent=output_context)
-        ToolBar.__init__(self, figure)
-
-        # initialize UI
-        self.ui = Ui_QToolbar()
-        self.ui.setupUi(self)
-
-        # connect button events
-        self.ui.auto_scale_button.clicked.connect(self.auto_scale_handler)
-        self.ui.center_button.clicked.connect(self.center_scene_handler)
-        self.ui.panzoom_button.toggled.connect(self.panzoom_handler)
-        self.ui.maintain_aspect_button.toggled.connect(self.maintain_aspect_handler)
-        self.ui.y_direction_button.clicked.connect(self.y_direction_handler)
-
-        # subplot labels update when a user click on subplots
-        subplot = self.figure[0, 0]
-        # set label from first subplot name
-        if subplot.name is not None:
-            name = subplot.name
-        else:
-            name = str(subplot.position)
-
-        # here we will just use a simple label, not a dropdown like ipywidgets
-        # the dropdown implementation is tedious with Qt
-        self.ui.current_subplot = QtWidgets.QLabel(parent=self)
-        self.ui.current_subplot.setText(name)
-        self.ui.horizontalLayout.addWidget(self.ui.current_subplot)
-
-        # update the subplot label when a subplot is clicked into
-        self.figure.renderer.add_event_handler(self.update_current_subplot, "click")
-
-        self.setMaximumHeight(35)
-
-        # set the initial values for buttons
-        self.ui.maintain_aspect_button.setChecked(
-            self.current_subplot.camera.maintain_aspect
-        )
-        self.ui.panzoom_button.setChecked(self.current_subplot.controller.enabled)
-
-        if copysign(1, self.current_subplot.camera.local.scale_y) == -1:
-            self.ui.y_direction_button.setText("v")
-        else:
-            self.ui.y_direction_button.setText("^")
-
-    def update_current_subplot(self, ev):
-        """update the text label for the current subplot"""
-        for subplot in self.figure:
-            pos = subplot.map_screen_to_world((ev.x, ev.y))
-            if pos is not None:
-                if subplot.name is not None:
-                    name = subplot.name
-                else:
-                    name = str(subplot.position)
-                self.ui.current_subplot.setText(name)
-
-                # set buttons w.r.t. current subplot
-                self.ui.panzoom_button.setChecked(subplot.controller.enabled)
-                self.ui.maintain_aspect_button.setChecked(
-                    subplot.camera.maintain_aspect
-                )
-
-                if copysign(1, subplot.camera.local.scale_y) == -1:
-                    self.ui.y_direction_button.setText("v")
-                else:
-                    self.ui.y_direction_button.setText("^")
-
-    def _get_subplot_dropdown_value(self) -> str:
-        return self.ui.current_subplot.text()
-
-    def auto_scale_handler(self, *args):
-        self.current_subplot.auto_scale(
-            maintain_aspect=self.current_subplot.camera.maintain_aspect
-        )
-
-    def center_scene_handler(self, *args):
-        self.current_subplot.center_scene()
-
-    def panzoom_handler(self, value: bool):
-        self.current_subplot.controller.enabled = value
-
-    def maintain_aspect_handler(self, value: bool):
-        for camera in self.current_subplot.controller.cameras:
-            camera.maintain_aspect = value
-
-    def y_direction_handler(self, *args):
-        # flip every camera under the same controller
-        for camera in self.current_subplot.controller.cameras:
-            camera.local.scale_y *= -1
-
-        if copysign(1, self.current_subplot.camera.local.scale_y) == -1:
-            self.ui.y_direction_button.setText("v")
-        else:
-            self.ui.y_direction_button.setText("^")
-
-    def record_handler(self, ev):
-        if self.ui.record_button.isChecked():
-            try:
-                self.figure.record_start(
-                    f"./{datetime.now().isoformat(timespec='seconds').replace(':', '_')}.mp4"
-                )
-            except Exception:
-                traceback.print_exc()
-                self.ui.record_button.setChecked(False)
-        else:
-            self.figure.record_stop()
-
-    def add_polygon(self, *args):
-        ps = PolygonSelector(edge_width=3, edge_color="mageneta")
-        self.current_subplot.add_graphic(ps, center=False)
diff --git a/fastplotlib/layouts/output/_qtoolbar_template.py b/fastplotlib/layouts/output/_qtoolbar_template.py
deleted file mode 100644
index d2311c595..000000000
--- a/fastplotlib/layouts/output/_qtoolbar_template.py
+++ /dev/null
@@ -1,61 +0,0 @@
-# Form implementation generated from reading ui file 'qtoolbar.ui'
-#
-# Created by: PyQt6 UI code generator 6.5.3
-#
-# WARNING: Any manual changes made to this file will be lost when pyuic6 is
-# run again.  Do not edit this file unless you know what you are doing.
-
-from ...utils.gui import QtGui, QtCore, QtWidgets
-
-
-class Ui_QToolbar(object):
-    def setupUi(self, QToolbar):
-        QToolbar.setObjectName("QToolbar")
-        QToolbar.resize(638, 48)
-        self.horizontalLayout_2 = QtWidgets.QHBoxLayout(QToolbar)
-        self.horizontalLayout_2.setObjectName("horizontalLayout_2")
-        self.horizontalLayout = QtWidgets.QHBoxLayout()
-        self.horizontalLayout.setObjectName("horizontalLayout")
-        self.auto_scale_button = QtWidgets.QPushButton(parent=QToolbar)
-        self.auto_scale_button.setObjectName("auto_scale_button")
-        self.horizontalLayout.addWidget(self.auto_scale_button)
-        self.center_button = QtWidgets.QPushButton(parent=QToolbar)
-        self.center_button.setObjectName("center_button")
-        self.horizontalLayout.addWidget(self.center_button)
-        self.panzoom_button = QtWidgets.QPushButton(parent=QToolbar)
-        self.panzoom_button.setCheckable(True)
-        self.panzoom_button.setObjectName("panzoom_button")
-        self.horizontalLayout.addWidget(self.panzoom_button)
-        self.maintain_aspect_button = QtWidgets.QPushButton(parent=QToolbar)
-        font = QtGui.QFont()
-        font.setBold(True)
-        font.setWeight(QtGui.QFont.Weight.Bold)
-        self.maintain_aspect_button.setFont(font)
-        self.maintain_aspect_button.setCheckable(True)
-        self.maintain_aspect_button.setObjectName("maintain_aspect_button")
-        self.horizontalLayout.addWidget(self.maintain_aspect_button)
-        self.y_direction_button = QtWidgets.QPushButton(parent=QToolbar)
-        self.y_direction_button.setObjectName("y_direction_button")
-        self.horizontalLayout.addWidget(self.y_direction_button)
-        self.add_polygon_button = QtWidgets.QPushButton(parent=QToolbar)
-        self.add_polygon_button.setObjectName("add_polygon_button")
-        self.horizontalLayout.addWidget(self.add_polygon_button)
-        self.record_button = QtWidgets.QPushButton(parent=QToolbar)
-        self.record_button.setCheckable(True)
-        self.record_button.setObjectName("record_button")
-        self.horizontalLayout.addWidget(self.record_button)
-        self.horizontalLayout_2.addLayout(self.horizontalLayout)
-
-        self.retranslateUi(QToolbar)
-        QtCore.QMetaObject.connectSlotsByName(QToolbar)
-
-    def retranslateUi(self, QToolbar):
-        _translate = QtCore.QCoreApplication.translate
-        QToolbar.setWindowTitle(_translate("QToolbar", "Form"))
-        self.auto_scale_button.setText(_translate("QToolbar", "autoscale"))
-        self.center_button.setText(_translate("QToolbar", "center"))
-        self.panzoom_button.setText(_translate("QToolbar", "panzoom"))
-        self.maintain_aspect_button.setText(_translate("QToolbar", "1:1"))
-        self.y_direction_button.setText(_translate("QToolbar", "^"))
-        self.add_polygon_button.setText(_translate("QToolbar", "polygon"))
-        self.record_button.setText(_translate("QToolbar", "record"))
diff --git a/fastplotlib/layouts/output/_toolbar.py b/fastplotlib/layouts/output/_toolbar.py
deleted file mode 100644
index 5edd201fa..000000000
--- a/fastplotlib/layouts/output/_toolbar.py
+++ /dev/null
@@ -1,45 +0,0 @@
-from .._subplot import Subplot
-
-
-class ToolBar:
-    def __init__(self, figure):
-        self.figure = figure
-
-    def _get_subplot_dropdown_value(self) -> str:
-        raise NotImplemented
-
-    @property
-    def current_subplot(self) -> Subplot:
-        """Returns current subplot"""
-        if hasattr(self.figure, "_subplots"):
-            # parses dropdown or label value as plot name or position
-            current = self._get_subplot_dropdown_value()
-            if current[0] == "(":
-                # str representation of int tuple to tuple of int
-                current = tuple(int(i) for i in current.strip("()").split(","))
-                return self.figure[current]
-            else:
-                return self.figure[current]
-        else:
-            return self.figure
-
-    def panzoom_handler(self, ev):
-        raise NotImplemented
-
-    def maintain_aspect_handler(self, ev):
-        raise NotImplemented
-
-    def y_direction_handler(self, ev):
-        raise NotImplemented
-
-    def auto_scale_handler(self, ev):
-        raise NotImplemented
-
-    def center_scene_handler(self, ev):
-        raise NotImplemented
-
-    def record_handler(self, ev):
-        raise NotImplemented
-
-    def add_polygon(self, ev):
-        raise NotImplemented
diff --git a/fastplotlib/layouts/output/jupyter_output.py b/fastplotlib/layouts/output/jupyter_output.py
deleted file mode 100644
index 9ebf0941d..000000000
--- a/fastplotlib/layouts/output/jupyter_output.py
+++ /dev/null
@@ -1,83 +0,0 @@
-from ipywidgets import VBox, Widget
-from sidecar import Sidecar
-from IPython.display import display
-
-from ._ipywidget_toolbar import IpywidgetToolBar
-
-
-class JupyterOutputContext(VBox):
-    """
-    Output context to display plots in jupyter. Inherits from ipywidgets.VBox
-
-    Basically vstacks plot canvas, toolbar, and other widgets. Uses sidecar if desired.
-    """
-
-    def __init__(
-        self,
-        frame,
-        make_toolbar: bool,
-        use_sidecar: bool,
-        sidecar_kwargs: dict,
-        add_widgets: list[Widget],
-    ):
-        """
-
-        Parameters
-        ----------
-        frame:
-            Plot frame for which to generate the output context
-
-        sidecar_kwargs: dict
-            optional kwargs passed to Sidecar
-
-        add_widgets: List[Widget]
-            list of ipywidgets to stack below the plot and toolbar
-        """
-        self.frame = frame
-        self.toolbar = None
-        self.sidecar = None
-
-        # verify they are all valid ipywidgets
-        if False in [isinstance(w, Widget) for w in add_widgets]:
-            raise TypeError(
-                f"add_widgets must be list of ipywidgets, you have passed:\n{add_widgets}"
-            )
-
-        self.use_sidecar = use_sidecar
-
-        if not make_toolbar:  # just stack canvas and the additional widgets, if any
-            self.output = (frame.canvas, *add_widgets)
-
-        if make_toolbar:  # make toolbar and stack canvas, toolbar, add_widgets
-            self.toolbar = IpywidgetToolBar(frame)
-            self.output = (frame.canvas, self.toolbar, *add_widgets)
-
-        if use_sidecar:  # instantiate sidecar if desired
-            self.sidecar = Sidecar(**sidecar_kwargs)
-
-        # stack all of these in the VBox
-        super().__init__(self.output)
-
-    def _repr_mimebundle_(self, *args, **kwargs):
-        """
-        This is what jupyter hook into when this output context instance is returned at the end of a cell.
-        """
-        if self.use_sidecar:
-            with self.sidecar:
-                # TODO: prints all the child widgets in the cell output, will figure out later, sidecar output works
-                return display(VBox(self.output))
-        else:
-            # just display VBox contents in cell output
-            return super()._repr_mimebundle_(*args, **kwargs)
-
-    def close(self):
-        """Closes the output context, cleanup all the stuff"""
-        self.frame.canvas.close()
-
-        if self.toolbar is not None:
-            self.toolbar.close()
-
-        if self.sidecar is not None:
-            self.sidecar.close()
-
-        super().close()  # ipywidget VBox cleanup
diff --git a/fastplotlib/layouts/output/qt_output.py b/fastplotlib/layouts/output/qt_output.py
deleted file mode 100644
index 20aaef2d1..000000000
--- a/fastplotlib/layouts/output/qt_output.py
+++ /dev/null
@@ -1,57 +0,0 @@
-from ...utils.gui import QtWidgets
-from ._qt_toolbar import QToolbar
-
-
-class QOutputContext(QtWidgets.QWidget):
-    """
-    Output context to display plots in Qt apps. Inherits from QtWidgets.QWidget
-
-    Basically vstacks plot canvas, toolbar, and other widgets.
-    """
-
-    def __init__(
-        self,
-        frame,
-        make_toolbar,
-        add_widgets,
-    ):
-        """
-
-        Parameters
-        ----------
-        frame:
-            Plot frame for which to generate the output context
-
-        add_widgets: List[Widget]
-            list of QWidget to stack below the plot and toolbar
-        """
-        # no parent, user can use Plot.widget.setParent(parent) if necessary to embed into other widgets
-        QtWidgets.QWidget.__init__(self, parent=None)
-        self.frame = frame
-        self.toolbar = None
-
-        # vertical layout used to stack plot canvas, toolbar, and add_widgets
-        self.vlayout = QtWidgets.QVBoxLayout(self)
-
-        # add canvas to layout
-        self.vlayout.addWidget(self.frame.canvas)
-
-        if make_toolbar:  # make toolbar and add to layout
-            self.toolbar = QToolbar(output_context=self, figure=frame)
-            self.vlayout.addWidget(self.toolbar)
-
-        for w in add_widgets:  # add any additional widgets to layout
-            w.setParent(self)
-            self.vlayout.addWidget(w)
-
-        self.setLayout(self.vlayout)
-
-        self.resize(*self.frame._starting_size)
-
-        self.show()
-
-    def close(self):
-        """Cleanup and close the output context"""
-        self.frame.canvas.close()
-        self.toolbar.close()
-        super().close()  # QWidget cleanup
diff --git a/fastplotlib/layouts/output/qtoolbar.ui b/fastplotlib/layouts/output/qtoolbar.ui
deleted file mode 100644
index 6c9aadae8..000000000
--- a/fastplotlib/layouts/output/qtoolbar.ui
+++ /dev/null
@@ -1,89 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<ui version="4.0">
- <class>QToolbar</class>
- <widget class="QWidget" name="QToolbar">
-  <property name="geometry">
-   <rect>
-    <x>0</x>
-    <y>0</y>
-    <width>638</width>
-    <height>48</height>
-   </rect>
-  </property>
-  <property name="windowTitle">
-   <string>Form</string>
-  </property>
-  <layout class="QHBoxLayout" name="horizontalLayout_2">
-   <item>
-    <layout class="QHBoxLayout" name="horizontalLayout">
-     <item>
-      <widget class="QPushButton" name="auto_scale_button">
-       <property name="text">
-        <string>autoscale</string>
-       </property>
-      </widget>
-     </item>
-     <item>
-      <widget class="QPushButton" name="center_button">
-       <property name="text">
-        <string>center</string>
-       </property>
-      </widget>
-     </item>
-     <item>
-      <widget class="QPushButton" name="panzoom_button">
-       <property name="text">
-        <string>panzoom</string>
-       </property>
-       <property name="checkable">
-        <bool>true</bool>
-       </property>
-      </widget>
-     </item>
-     <item>
-      <widget class="QPushButton" name="maintain_aspect_button">
-       <property name="font">
-        <font>
-         <weight>75</weight>
-         <bold>true</bold>
-        </font>
-       </property>
-       <property name="text">
-        <string>1:1</string>
-       </property>
-       <property name="checkable">
-        <bool>true</bool>
-       </property>
-      </widget>
-     </item>
-     <item>
-      <widget class="QPushButton" name="y_direction_button">
-       <property name="text">
-        <string>^</string>
-       </property>
-      </widget>
-     </item>
-     <item>
-      <widget class="QPushButton" name="add_polygon_button">
-       <property name="text">
-        <string>polygon</string>
-       </property>
-      </widget>
-     </item>
-     <item>
-      <widget class="QPushButton" name="record_button">
-       <property name="text">
-        <string>record</string>
-       </property>
-       <property name="checkable">
-        <bool>true</bool>
-       </property>
-      </widget>
-     </item>
-    </layout>
-   </item>
-  </layout>
- </widget>
- <resources/>
- <connections/>
-</ui>
diff --git a/fastplotlib/legends/legend.py b/fastplotlib/legends/legend.py
index 8ab3ddedb..df78d5662 100644
--- a/fastplotlib/legends/legend.py
+++ b/fastplotlib/legends/legend.py
@@ -56,10 +56,10 @@ def __init__(
             )
 
         # for now only support lines with a single color
-        if np.unique(graphic.colors(), axis=0).shape[0] > 1:
+        if np.unique(graphic.colors.value, axis=0).shape[0] > 1:
             raise ValueError("Use colorbars for multi-colored lines, not legends")
 
-        color = pygfx.Color(np.unique(graphic.colors(), axis=0).ravel())
+        color = pygfx.Color(np.unique(graphic.colors.value, axis=0).ravel())
 
         self._parent = parent
 
@@ -117,7 +117,7 @@ def label(self, text: str):
         self._label_world_object.geometry.set_text(text)
 
     def _update_color(self, ev: FeatureEvent):
-        new_color = ev.pick_info["new_data"]
+        new_color = ev.info["value"]
         if np.unique(new_color, axis=0).shape[0] > 1:
             raise ValueError(
                 "LegendError: LineGraphic colors no longer appropriate for legend"
@@ -126,8 +126,8 @@ def _update_color(self, ev: FeatureEvent):
         self._color = new_color[0]
         self._line_world_object.material.color = pygfx.Color(self._color)
 
-    def _highlight_graphic(self, graphic, ev):
-        graphic_color = pygfx.Color(np.unique(graphic.colors(), axis=0).ravel())
+    def _highlight_graphic(self, graphic: Graphic, ev):
+        graphic_color = pygfx.Color(np.unique(graphic.colors.value, axis=0).ravel())
 
         if graphic_color == self._parent.highlight_color:
             graphic.colors = self._color
@@ -270,7 +270,7 @@ def add_graphic(self, graphic: Graphic, label: str = None):
         self._graphics.append(graphic)
         self._items[graphic._fpl_address] = legend_item
 
-        graphic.deleted.add_event_handler(partial(self.remove_graphic, graphic))
+        graphic.add_event_handler(partial(self.remove_graphic, graphic), "deleted")
 
         self._col_counter = new_col_ix
         self._row_counter = new_row_ix
diff --git a/fastplotlib/tools/__init__.py b/fastplotlib/tools/__init__.py
new file mode 100644
index 000000000..80396c98d
--- /dev/null
+++ b/fastplotlib/tools/__init__.py
@@ -0,0 +1 @@
+from ._histogram_lut import HistogramLUTTool
diff --git a/fastplotlib/widgets/histogram_lut.py b/fastplotlib/tools/_histogram_lut.py
similarity index 60%
rename from fastplotlib/widgets/histogram_lut.py
rename to fastplotlib/tools/_histogram_lut.py
index 02c21aa38..b8c6633a8 100644
--- a/fastplotlib/widgets/histogram_lut.py
+++ b/fastplotlib/tools/_histogram_lut.py
@@ -1,16 +1,30 @@
+from math import ceil
 import weakref
 
 import numpy as np
 
-from pygfx import Group
+import pygfx
 
 from ..graphics import LineGraphic, ImageGraphic, TextGraphic
+from ..graphics.utils import pause_events
 from ..graphics._base import Graphic
 from ..graphics.selectors import LinearRegionSelector
 
 
+def _get_image_graphic_events(image_graphic: ImageGraphic) -> list[str]:
+    """Small helper function to return the relevant events for an ImageGraphic"""
+    events = ["vmin", "vmax"]
+
+    if not image_graphic.data.value.ndim > 2:
+        events.append("cmap")
+
+    # if RGB(A), do not add cmap
+
+    return events
+
+
 # TODO: This is a widget, we can think about a BaseWidget class later if necessary
-class HistogramLUT(Graphic):
+class HistogramLUTTool(Graphic):
     def __init__(
         self,
         data: np.ndarray,
@@ -25,9 +39,10 @@ def __init__(
         ----------
         data
         image_graphic
-        nbins
-        flank_divisor: float, default 5.0
-            set `np.inf` for no flanks
+        nbins: int, defaut 100.
+            Total number of bins used in the histogram
+        flank_divisor: float, default 5.0.
+            Fraction of empty histogram bins on the tails of the distribution set `np.inf` for no flanks
         kwargs
         """
         super().__init__(**kwargs)
@@ -46,7 +61,7 @@ def __init__(
 
         self._histogram_line = LineGraphic(line_data)
 
-        bounds = (edges[0], edges[-1])
+        bounds = (edges[0] * self._scale_factor, edges[-1] * self._scale_factor)
         limits = (edges_flanked[0], edges_flanked[-1])
         size = 120  # since it's scaled to 100
         origin = (hist_scaled.max() / 2, 0)
@@ -63,8 +78,8 @@ def __init__(
 
         # there will be a small difference with the histogram edges so this makes them both line up exactly
         self._linear_region_selector.selection = (
-            self._image_graphic.vmin,
-            self._image_graphic.vmax,
+            self._image_graphic.vmin * self._scale_factor,
+            self._image_graphic.vmax * self._scale_factor,
         )
 
         self._vmin = self.image_graphic.vmin
@@ -94,7 +109,7 @@ def __init__(
 
         self._text_vmax.world_object.material.pick_write = False
 
-        widget_wo = Group()
+        widget_wo = pygfx.Group()
         widget_wo.add(
             self._histogram_line.world_object,
             self._linear_region_selector.world_object,
@@ -114,7 +129,47 @@ def __init__(
             self._linear_region_handler, "selection"
         )
 
-        self.image_graphic.add_event_handler(self._image_cmap_handler, "vmin", "vmax")
+        ig_events = _get_image_graphic_events(self.image_graphic)
+
+        self.image_graphic.add_event_handler(self._image_cmap_handler, *ig_events)
+
+        # colorbar for grayscale images
+        if self.image_graphic.data.value.ndim != 3:
+            self._colorbar: ImageGraphic = self._make_colorbar(edges_flanked)
+            self._colorbar.add_event_handler(self._open_cmap_picker, "click")
+
+            self.world_object.add(self._colorbar.world_object)
+        else:
+            self._colorbar = None
+            self._cmap = None
+
+    def _make_colorbar(self, edges_flanked) -> ImageGraphic:
+        # use the histogram edge values as data for an
+        # image with 2 columns, this will be our colorbar!
+        colorbar_data = np.column_stack(
+            [
+                np.linspace(
+                    edges_flanked[0], edges_flanked[-1], ceil(np.ptp(edges_flanked))
+                )
+            ]
+            * 2
+        ).astype(np.float32)
+
+        colorbar_data /= self._scale_factor
+
+        cbar = ImageGraphic(
+            data=colorbar_data,
+            vmin=self.vmin,
+            vmax=self.vmax,
+            cmap=self.image_graphic.cmap,
+            interpolation="linear",
+            offset=(-55, edges_flanked[0], -1),
+        )
+
+        cbar.world_object.world.scale_x = 20
+        self._cmap = self.image_graphic.cmap
+
+        return cbar
 
     def _get_vmin_vmax_str(self) -> tuple[str, str]:
         if self.vmin < 0.001 or self.vmin > 99_999:
@@ -135,6 +190,7 @@ def _fpl_add_plot_area_hook(self, plot_area):
         self._histogram_line._fpl_add_plot_area_hook(plot_area)
 
         self._plot_area.auto_scale()
+        self._plot_area.controller.enabled = True
 
     def _calculate_histogram(self, data):
         if data.ndim > 2:
@@ -161,9 +217,10 @@ def _calculate_histogram(self, data):
             hist, edges = np.histogram(data_ss, bins=self._nbins)
 
         # used if data ptp <= 10 because event things get weird
-        # with tiny world objects due to  floating point error
+        # with tiny world objects due to floating point error
         # so if ptp <= 10, scale up by a factor
-        self._scale_factor: int = max(1, 100 * int(10 / np.ptp(data_ss)))
+        data_interval = edges[-1] - edges[0]
+        self._scale_factor: int = max(1, 100 * int(10 / data_interval))
 
         edges = edges * self._scale_factor
 
@@ -178,7 +235,6 @@ def _calculate_histogram(self, data):
         )
 
         edges_flanked = np.concatenate((flank_left, edges, flank_right))
-        np.unique(np.diff(edges_flanked))
 
         hist_flanked = np.concatenate(
             (np.zeros(flank_nbins), hist, np.zeros(flank_nbins))
@@ -186,7 +242,10 @@ def _calculate_histogram(self, data):
 
         # scale 0-100 to make it easier to see
         # float32 data can produce unnecessarily high values
-        hist_scaled = hist_flanked / (hist_flanked.max() / 100)
+        hist_scale_value = hist_flanked.max()
+        if np.allclose(hist_scale_value, 0):
+            hist_scale_value = 1
+        hist_scaled = hist_flanked / (hist_scale_value / 100)
 
         if edges_flanked.size > hist_scaled.size:
             # we don't care about accuracy here so if it's off by 1-2 bins that's fine
@@ -205,27 +264,39 @@ def _linear_region_handler(self, ev):
     def _image_cmap_handler(self, ev):
         setattr(self, ev.type, ev.info["value"])
 
+    @property
+    def cmap(self) -> str:
+        return self._cmap
+
+    @cmap.setter
+    def cmap(self, name: str):
+        if self._colorbar is None:
+            return
+
+        with pause_events(self.image_graphic):
+            self.image_graphic.cmap = name
+
+            self._cmap = name
+            self._colorbar.cmap = name
+
     @property
     def vmin(self) -> float:
         return self._vmin
 
     @vmin.setter
     def vmin(self, value: float):
-        self.image_graphic.block_events = True
-        self._linear_region_selector.block_events = True
-
-        # must use world coordinate values directly from selection()
-        # otherwise the linear region bounds jump to the closest bin edges
-        self._linear_region_selector.selection = (
-            value * self._scale_factor,
-            self._linear_region_selector.selection[1],
-        )
-        self.image_graphic.vmin = value
-
-        self.image_graphic.block_events = False
-        self._linear_region_selector.block_events = False
+        with pause_events(self.image_graphic, self._linear_region_selector):
+            # must use world coordinate values directly from selection()
+            # otherwise the linear region bounds jump to the closest bin edges
+            self._linear_region_selector.selection = (
+                value * self._scale_factor,
+                self._linear_region_selector.selection[1],
+            )
+            self.image_graphic.vmin = value
 
         self._vmin = value
+        if self._colorbar is not None:
+            self._colorbar.vmin = value
 
         vmin_str, vmax_str = self._get_vmin_vmax_str()
         self._text_vmin.offset = (-120, self._linear_region_selector.selection[0], 0)
@@ -237,22 +308,19 @@ def vmax(self) -> float:
 
     @vmax.setter
     def vmax(self, value: float):
-        self.image_graphic.block_events = True
-        self._linear_region_selector.block_events = True
-
-        # must use world coordinate values directly from selection()
-        # otherwise the linear region bounds jump to the closest bin edges
-        self._linear_region_selector.selection = (
-            self._linear_region_selector.selection[0],
-            value * self._scale_factor,
-        )
-
-        self.image_graphic.vmax = value
+        with pause_events(self.image_graphic, self._linear_region_selector):
+            # must use world coordinate values directly from selection()
+            # otherwise the linear region bounds jump to the closest bin edges
+            self._linear_region_selector.selection = (
+                self._linear_region_selector.selection[0],
+                value * self._scale_factor,
+            )
 
-        self.image_graphic.block_events = False
-        self._linear_region_selector.block_events = False
+            self.image_graphic.vmax = value
 
         self._vmax = value
+        if self._colorbar is not None:
+            self._colorbar.vmax = value
 
         vmin_str, vmax_str = self._get_vmin_vmax_str()
         self._text_vmax.offset = (-120, self._linear_region_selector.selection[1], 0)
@@ -275,15 +343,25 @@ def set_data(self, data, reset_vmin_vmax: bool = True):
             self._linear_region_selector.limits = limits
             self._linear_region_selector.selection = bounds
         else:
-            # don't change the current selection
-            self.image_graphic.block_events = True
-            self._linear_region_selector.block_events = True
-            self._linear_region_selector.limits = limits
-            self.image_graphic.block_events = False
-            self._linear_region_selector.block_events = False
+            with pause_events(self.image_graphic, self._linear_region_selector):
+                # don't change the current selection
+                self._linear_region_selector.limits = limits
 
         self._data = weakref.proxy(data)
 
+        if self._colorbar is not None:
+            self._colorbar.clear_event_handlers()
+            self.world_object.remove(self._colorbar.world_object)
+
+        if self.image_graphic.data.value.ndim != 3:
+            self._colorbar: ImageGraphic = self._make_colorbar(edges_flanked)
+            self._colorbar.add_event_handler(self._open_cmap_picker, "click")
+
+            self.world_object.add(self._colorbar.world_object)
+        else:
+            self._colorbar = None
+            self._cmap = None
+
         # reset plotarea dims
         self._plot_area.auto_scale()
 
@@ -295,24 +373,39 @@ def image_graphic(self) -> ImageGraphic:
     def image_graphic(self, graphic):
         if not isinstance(graphic, ImageGraphic):
             raise TypeError(
-                f"HistogramLUT can only use ImageGraphic types, you have passed: {type(graphic)}"
+                f"HistogramLUTTool can only use ImageGraphic types, you have passed: {type(graphic)}"
             )
 
         if self._image_graphic is not None:
             # cleanup events from current image graphic
-            self._image_graphic.remove_event_handler(self._image_cmap_handler)
+            ig_events = _get_image_graphic_events(self._image_graphic)
+            self._image_graphic.remove_event_handler(
+                self._image_cmap_handler, *ig_events
+            )
 
         self._image_graphic = graphic
 
-        self.image_graphic.add_event_handler(self._image_cmap_handler)
+        ig_events = _get_image_graphic_events(self._image_graphic)
+
+        self.image_graphic.add_event_handler(self._image_cmap_handler, *ig_events)
 
     def disconnect_image_graphic(self):
-        self._image_graphic.remove_event_handler(self._image_cmap_handler)
+        ig_events = _get_image_graphic_events(self._image_graphic)
+        self._image_graphic.remove_event_handler(self._image_cmap_handler, *ig_events)
         del self._image_graphic
         # self._image_graphic = None
 
-    def _fpl_cleanup(self):
-        self._linear_region_selector._fpl_cleanup()
-        self._histogram_line._fpl_cleanup()
+    def _open_cmap_picker(self, ev):
+        # check if right click
+        if ev.button != 2:
+            return
+
+        pos = ev.x, ev.y
+
+        self._plot_area.get_figure().open_popup("colormap-picker", pos, lut_tool=self)
+
+    def _fpl_prepare_del(self):
+        self._linear_region_selector._fpl_prepare_del()
+        self._histogram_line._fpl_prepare_del()
         del self._histogram_line
         del self._linear_region_selector
diff --git a/fastplotlib/ui/__init__.py b/fastplotlib/ui/__init__.py
new file mode 100644
index 000000000..a1e57a9c5
--- /dev/null
+++ b/fastplotlib/ui/__init__.py
@@ -0,0 +1,3 @@
+from ._base import BaseGUI, Window, EdgeWindow, Popup, GUI_EDGES
+from ._subplot_toolbar import SubplotToolbar
+from .right_click_menus import StandardRightClickMenu, ColormapPicker
diff --git a/fastplotlib/ui/_base.py b/fastplotlib/ui/_base.py
new file mode 100644
index 000000000..6c134d415
--- /dev/null
+++ b/fastplotlib/ui/_base.py
@@ -0,0 +1,255 @@
+from typing import Literal
+import numpy as np
+
+from imgui_bundle import imgui
+
+from ..layouts._figure import Figure
+
+
+GUI_EDGES = ["top", "right", "bottom", "left"]
+
+
+class BaseGUI:
+    """
+    Base class for all ImGUI based GUIs, windows and popups
+
+    The main purpose of this base is for setting a unique ID between multiple figs with identical UI elements
+
+    This ID can be pushed in subclasses within the `update()` method
+    """
+
+    ID_COUNTER: int = 0
+
+    def __init__(self):
+        BaseGUI.ID_COUNTER += 1
+        self._id_counter = BaseGUI.ID_COUNTER
+
+    def update(self):
+        """must be implemented in subclass"""
+        raise NotImplementedError
+
+
+class Window(BaseGUI):
+    """Base class for imgui windows drawn within Figures"""
+
+    pass
+
+
+class EdgeWindow(Window):
+    def __init__(
+        self,
+        figure: Figure,
+        size: int,
+        location: Literal["top", "bottom", "left", "right"],
+        title: str,
+        window_flags: int = imgui.WindowFlags_.no_collapse
+        | imgui.WindowFlags_.no_resize,
+        *args,
+        **kwargs,
+    ):
+        """
+        A base class for imgui windows displayed at one of the four edges of a Figure
+
+        Parameters
+        ----------
+        figure: Figure
+            Figure instance that this window will be placed in
+
+        size: int
+            width or height of the window, depending on its location
+
+        location: str, "top" | "bottom" | "left" | "right"
+            location of the window
+
+        title: str
+            window title
+
+        window_flags: int
+            window flag enum, valid flags are:
+
+            .. code-block:: py
+
+                imgui.WindowFlags_.no_title_bar
+                imgui.WindowFlags_.no_resize
+                imgui.WindowFlags_.no_move
+                imgui.WindowFlags_.no_scrollbar
+                imgui.WindowFlags_.no_scroll_with_mouse
+                imgui.WindowFlags_.no_collapse
+                imgui.WindowFlags_.always_auto_resize
+                imgui.WindowFlags_.no_background
+                imgui.WindowFlags_.no_saved_settings
+                imgui.WindowFlags_.no_mouse_inputs
+                imgui.WindowFlags_.menu_bar
+                imgui.WindowFlags_.horizontal_scrollbar
+                imgui.WindowFlags_.no_focus_on_appearing
+                imgui.WindowFlags_.no_bring_to_front_on_focus
+                imgui.WindowFlags_.always_vertical_scrollbar
+                imgui.WindowFlags_.always_horizontal_scrollbar
+                imgui.WindowFlags_.no_nav_inputs
+                imgui.WindowFlags_.no_nav_focus
+                imgui.WindowFlags_.unsaved_document
+                imgui.WindowFlags_.no_docking
+                imgui.WindowFlags_.no_nav
+                imgui.WindowFlags_.no_decoration
+                imgui.WindowFlags_.no_inputs
+
+        *args
+            additional args for the GUI
+
+        **kwargs
+            additional kwargs for teh GUI
+        """
+        super().__init__()
+
+        if location not in GUI_EDGES:
+            f"GUI does not have a valid location, valid locations are: {GUI_EDGES}, you have passed: {location}"
+
+        self._figure = figure
+        self._size = size
+        self._location = location
+        self._title = title
+        self._window_flags = window_flags
+        self._fa_icons = self._figure._fa_icons
+
+        self._x, self._y, self._width, self._height = self.get_rect()
+
+        self._figure.canvas.add_event_handler(self._set_rect, "resize")
+
+    @property
+    def size(self) -> int | None:
+        """width or height of the edge window"""
+        return self._size
+
+    @size.setter
+    def size(self, value):
+        if not isinstance(value, int):
+            raise TypeError
+        self._size = value
+
+    @property
+    def location(self) -> str:
+        """location of the window"""
+        return self._location
+
+    @property
+    def x(self) -> int:
+        """canvas x position of the window"""
+        return self._x
+
+    @property
+    def y(self) -> int:
+        """canvas y position of the window"""
+        return self._y
+
+    @property
+    def width(self) -> int:
+        """with the window"""
+        return self._width
+
+    @property
+    def height(self) -> int:
+        """height of the window"""
+        return self._height
+
+    def _set_rect(self, *args):
+        self._x, self._y, self._width, self._height = self.get_rect()
+
+    def get_rect(self) -> tuple[int, int, int, int]:
+        """
+        Compute the rect that defines the area this GUI is drawn to
+
+        Returns
+        -------
+        int, int, int, int
+            x_pos, y_pos, width, height
+
+        """
+
+        width_canvas, height_canvas = self._figure.canvas.get_logical_size()
+
+        match self._location:
+            case "top":
+                x_pos, y_pos = (0, 0)
+                width, height = (width_canvas, self.size)
+
+            case "bottom":
+                x_pos = 0
+                y_pos = height_canvas - self.size
+                width, height = (width_canvas, self.size)
+
+            case "right":
+                x_pos, y_pos = (width_canvas - self.size, 0)
+
+                if self._figure.guis["top"]:
+                    # if there is a GUI in the top edge, make this one below
+                    y_pos += self._figure.guis["top"].size
+
+                width, height = (self.size, height_canvas)
+                if self._figure.guis["bottom"] is not None:
+                    height -= self._figure.guis["bottom"].size
+
+            case "left":
+                x_pos, y_pos = (0, 0)
+                if self._figure.guis["top"]:
+                    # if there is a GUI in the top edge, make this one below
+                    y_pos += self._figure.guis["top"].size
+
+                width, height = (self.size, height_canvas)
+                if self._figure.guis["bottom"] is not None:
+                    height -= self._figure.guis["bottom"].size
+
+        return x_pos, y_pos, width, height
+
+    def draw_window(self):
+        """helps simplify using imgui by managing window creation & position, and pushing/popping the ID"""
+        # window position & size
+        imgui.set_next_window_size((self.width, self.height))
+        imgui.set_next_window_pos((self.x, self.y))
+        flags = self._window_flags
+
+        # begin window
+        imgui.begin(self._title, p_open=None, flags=flags)
+
+        # push ID to prevent conflict between multiple figs with same UI
+        imgui.push_id(self._id_counter)
+
+        # draw stuff from subclass into window
+        self.update()
+
+        # pop ID
+        imgui.pop_id()
+
+        # end the window
+        imgui.end()
+
+    def update(self):
+        """Implement your GUI here and it will be drawn within the window. See the GUI examples"""
+        raise NotImplementedError
+
+
+class Popup(BaseGUI):
+    def __init__(self, figure: Figure, *args, **kwargs):
+        """
+        Base class for creating ImGUI popups within Figures
+
+        Parameters
+        ----------
+        figure: Figure
+            Figure instance
+        *args
+            any args to pass to subclass constructor
+
+        **kwargs
+            any kwargs to pass to subclass constructor
+        """
+
+        super().__init__()
+
+        self._figure = figure
+        self._fa_icons = self._figure._fa_icons
+
+        self.is_open = False
+
+    def open(self, pos: tuple[int, int], *args, **kwargs):
+        """implement in subclass"""
+        raise NotImplementedError
diff --git a/fastplotlib/ui/_subplot_toolbar.py b/fastplotlib/ui/_subplot_toolbar.py
new file mode 100644
index 000000000..6c1a81f73
--- /dev/null
+++ b/fastplotlib/ui/_subplot_toolbar.py
@@ -0,0 +1,73 @@
+from imgui_bundle import imgui, icons_fontawesome_6 as fa, imgui_ctx
+
+from ..layouts._subplot import Subplot
+from ._base import Window
+
+
+class SubplotToolbar(Window):
+    def __init__(self, subplot: Subplot, fa_icons: imgui.ImFont):
+        """
+        Subplot toolbar shown below all subplots
+        """
+        super().__init__()
+
+        self._subplot = subplot
+        self._fa_icons = fa_icons
+
+    def update(self):
+        # get subplot rect
+        x, y, width, height = self._subplot.get_rect()
+
+        # place the toolbar window below the subplot
+        pos = (x, y + height)
+
+        imgui.set_next_window_size((width, 0))
+        imgui.set_next_window_pos(pos)
+        flags = imgui.WindowFlags_.no_collapse | imgui.WindowFlags_.no_title_bar
+
+        imgui.begin(f"Toolbar-{self._subplot.position}", p_open=None, flags=flags)
+
+        # icons for buttons
+        imgui.push_font(self._fa_icons)
+
+        # push ID to prevent conflict between multiple figs with same UI
+        imgui.push_id(self._id_counter)
+        with imgui_ctx.begin_horizontal(f"toolbar-{self._subplot.position}"):
+            # autoscale button
+            if imgui.button(fa.ICON_FA_MAXIMIZE):
+                self._subplot.auto_scale()
+            imgui.pop_font()
+            if imgui.is_item_hovered(0):
+                imgui.set_tooltip("autoscale scene")
+
+            # center scene
+            imgui.push_font(self._fa_icons)
+            if imgui.button(fa.ICON_FA_ALIGN_CENTER):
+                self._subplot.center_scene()
+            imgui.pop_font()
+            if imgui.is_item_hovered(0):
+                imgui.set_tooltip("center scene")
+
+            imgui.push_font(self._fa_icons)
+            # checkbox controller
+            _, self._subplot.controller.enabled = imgui.checkbox(
+                fa.ICON_FA_COMPUTER_MOUSE, self._subplot.controller.enabled
+            )
+            imgui.pop_font()
+            if imgui.is_item_hovered(0):
+                imgui.set_tooltip("enable/disable controller")
+
+            imgui.push_font(self._fa_icons)
+            # checkbox maintain_apsect
+            _, self._subplot.camera.maintain_aspect = imgui.checkbox(
+                fa.ICON_FA_EXPAND, self._subplot.camera.maintain_aspect
+            )
+            imgui.pop_font()
+            if imgui.is_item_hovered(0):
+                imgui.set_tooltip("maintain aspect")
+
+        # pop id when all UI has been written to window
+        imgui.pop_id()
+
+        # end window
+        imgui.end()
diff --git a/fastplotlib/ui/right_click_menus/__init__.py b/fastplotlib/ui/right_click_menus/__init__.py
new file mode 100644
index 000000000..6ccc50646
--- /dev/null
+++ b/fastplotlib/ui/right_click_menus/__init__.py
@@ -0,0 +1,2 @@
+from ._colormap_picker import ColormapPicker
+from ._standard_menu import StandardRightClickMenu
diff --git a/fastplotlib/ui/right_click_menus/_colormap_picker.py b/fastplotlib/ui/right_click_menus/_colormap_picker.py
new file mode 100644
index 000000000..3c48bd4d8
--- /dev/null
+++ b/fastplotlib/ui/right_click_menus/_colormap_picker.py
@@ -0,0 +1,175 @@
+import ctypes
+
+import numpy as np
+import cmap
+
+import wgpu
+from imgui_bundle import imgui
+from wgpu import GPUTexture
+
+from .. import Popup
+from ...utils.functions import (
+    COLORMAP_NAMES,
+    SEQUENTIAL_CMAPS,
+    CYCLIC_CMAPS,
+    DIVERGING_CMAPS,
+    MISC_CMAPS,
+)
+
+all_cmaps = [*SEQUENTIAL_CMAPS, *CYCLIC_CMAPS, *DIVERGING_CMAPS, *MISC_CMAPS]
+
+
+class ColormapPicker(Popup):
+    """Colormap picker menu popup tool"""
+
+    # name used to trigger this popup after it has been registered with a Figure
+    name = "colormap-picker"
+
+    def __init__(self, figure):
+        super().__init__(figure=figure, fa_icons=None)
+
+        self.renderer = self._figure.renderer
+        self.imgui_renderer = self._figure.imgui_renderer
+
+        # maps str cmap names -> int texture IDs
+        self._texture_ids: dict[str, int] = {}
+        self._textures = list()
+
+        # make all colormaps and upload representative texture for each cmap to the GPU
+        for name in all_cmaps:
+            # get data that represents cmap
+            colormap = cmap.Colormap(name)
+            data = colormap(np.linspace(0, 1)) * 255
+
+            # needs to be 2D to create a texture
+            data = np.vstack([[data]] * 2).astype(np.uint8)
+
+            # upload the texture to the GPU, get the texture ID and texture
+            self._texture_ids[name], texture = self._create_texture_and_upload(data)
+            self._textures.append(texture)
+
+        # used to set the states of the UI
+        self._lut_tool = None
+        self._pos: tuple[int, int] = -1, -1
+        self._open_new: bool = False
+
+        self.is_open = False
+
+        self._popup_state = "never-opened"
+
+        self._texture_height = None
+
+    def _create_texture_and_upload(self, data: np.ndarray) -> tuple[int, GPUTexture]:
+        """crates a GPUTexture from the 2D data and uploads it"""
+
+        # create a GPUTexture
+        texture = self.renderer.device.create_texture(
+            size=(data.shape[1], data.shape[0], 4),
+            usage=wgpu.TextureUsage.COPY_DST | wgpu.TextureUsage.TEXTURE_BINDING,
+            dimension=wgpu.TextureDimension.d2,
+            format=wgpu.TextureFormat.rgba8unorm,
+            mip_level_count=1,
+            sample_count=1,
+        )
+
+        # upload to the GPU
+        self.renderer.device.queue.write_texture(
+            {"texture": texture, "mip_level": 0, "origin": (0, 0, 0)},
+            data,
+            {"offset": 0, "bytes_per_row": data.shape[1] * 4},
+            (data.shape[1], data.shape[0], 1),
+        )
+
+        # get a view
+        texture_view = texture.create_view()
+
+        # get the id so that imgui can display it
+        id_texture = ctypes.c_int32(id(texture_view)).value
+        # add texture view to the backend so that it can be retrieved for rendering
+        self.imgui_renderer.backend._texture_views[id_texture] = texture_view
+
+        return id_texture, texture
+
+    def open(self, pos: tuple[int, int], lut_tool):
+        """
+        Request that the popup be opened on the next render cycle
+
+        Parameters
+        ----------
+        pos: int, int
+            (x, y) position
+
+        lut_tool: HistogramLUTTool
+            instance of the LUT tool
+
+        Returns
+        -------
+
+        """
+        self._lut_tool = lut_tool
+
+        self._pos = pos
+
+        self._open_new = True
+
+    def close(self):
+        """cleanup after popup has closed"""
+        self._lut_tool = None
+        self._open_new = False
+        self._pos = -1, -1
+
+        self.is_open = False
+
+    def _add_cmap_menu_item(self, cmap_name: str):
+        texture_id = self._texture_ids[cmap_name]
+        imgui.image(
+            texture_id, image_size=(50, self._texture_height), border_col=(1, 1, 1, 1)
+        )
+
+        imgui.same_line()
+
+        clicked, selected = imgui.selectable(
+            label=cmap_name,
+            p_selected=cmap_name == self._lut_tool.cmap,
+        )
+
+        if clicked and selected:
+            self._lut_tool.cmap = cmap_name
+
+    def update(self):
+        if self._open_new:
+            # new popup has been triggered by a LUT tool
+            self._open_new = False
+
+            imgui.set_next_window_pos(self._pos)
+            imgui.open_popup("cmap-picker")
+
+        if imgui.begin_popup("cmap-picker"):
+            self.is_open = True
+
+            # make the cmap image height the same as the text height
+            self._texture_height = (
+                self.imgui_renderer.backend.io.font_global_scale
+                * imgui.get_font().font_size
+            ) - 2
+
+            if imgui.menu_item("Reset vmin-vmax", "", False)[0]:
+                self._lut_tool.image_graphic.reset_vmin_vmax()
+
+            # add all the cmap options
+            for cmap_type in COLORMAP_NAMES.keys():
+                if cmap_type == "qualitative":
+                    continue
+
+                imgui.separator()
+                imgui.text(cmap_type.capitalize())
+
+                for cmap_name in COLORMAP_NAMES[cmap_type]:
+                    self._add_cmap_menu_item(cmap_name)
+
+            imgui.end_popup()
+
+        else:
+            # popup went from open to closed
+            if self.is_open == True:
+                self.close()
diff --git a/fastplotlib/ui/right_click_menus/_standard_menu.py b/fastplotlib/ui/right_click_menus/_standard_menu.py
new file mode 100644
index 000000000..9a584043c
--- /dev/null
+++ b/fastplotlib/ui/right_click_menus/_standard_menu.py
@@ -0,0 +1,178 @@
+from imgui_bundle import imgui
+
+from ...layouts._utils import controller_types
+from ...layouts._plot_area import PlotArea
+from ...ui import Popup
+
+
+def flip_axis(subplot: PlotArea, axis: str, flip: bool):
+    camera = subplot.camera
+    axis_attr = f"scale_{axis}"
+    scale = getattr(camera.local, axis_attr)
+
+    if flip and scale > 0:
+        # flip is checked and axis is not already flipped
+        setattr(camera.local, axis_attr, scale * -1)
+
+    elif not flip and scale < 0:
+        # flip not checked and axis is flipped
+        setattr(camera.local, axis_attr, scale * -1)
+
+
+class StandardRightClickMenu(Popup):
+    """Right click menu that is shown on subplots"""
+
+    def __init__(self, figure, fa_icons):
+        super().__init__(figure=figure, fa_icons=fa_icons)
+
+        self._last_right_click_pos = None
+        self._mouse_down: bool = False
+
+        # whether the right click menu is currently open or not
+        self.is_open: bool = False
+
+    def get_subplot(self) -> PlotArea | bool:
+        """get the subplot that a click occurred in"""
+        if self._last_right_click_pos is None:
+            return False
+
+        for subplot in self._figure:
+            if subplot.viewport.is_inside(*self._last_right_click_pos):
+                return subplot
+
+    def cleanup(self):
+        """called when the popup disappears"""
+        self.is_open = False
+
+    def update(self):
+        if imgui.is_mouse_down(1) and not self._mouse_down:
+            # mouse button was pressed down, store this position
+            self._mouse_down = True
+            self._last_right_click_pos = imgui.get_mouse_pos()
+
+        if imgui.is_mouse_released(1) and self._mouse_down:
+            self._mouse_down = False
+
+            # open popup only if mouse was not moved between mouse_down and mouse_up events
+            if self._last_right_click_pos == imgui.get_mouse_pos():
+                if self.get_subplot():
+                    # open only if right click was inside a subplot
+                    imgui.open_popup(f"right-click-menu")
+
+        # TODO: call this just once when going from open -> closed state
+        if not imgui.is_popup_open("right-click-menu"):
+            self.cleanup()
+
+        if imgui.begin_popup(f"right-click-menu"):
+            if not self.get_subplot():
+                # for some reason it will still trigger at certain locations
+                # despite open_popup() only being called when an actual
+                # subplot is returned
+                imgui.end_popup()
+                imgui.close_current_popup()
+                self.cleanup()
+                return
+
+            name = self.get_subplot().name
+            if name is None:
+                name = self.get_subplot().position
+
+            # text label at the top of the menu
+            imgui.text(f"subplot: {name}")
+            imgui.separator()
+
+            # autoscale, center, maintain aspect
+            if imgui.menu_item(f"Autoscale", "", False)[0]:
+                self.get_subplot().auto_scale()
+
+            if imgui.menu_item(f"Center", "", False)[0]:
+                self.get_subplot().center_scene()
+
+            _, maintain_aspect = imgui.menu_item(
+                "Maintain Aspect", "", self.get_subplot().camera.maintain_aspect
+            )
+            self.get_subplot().camera.maintain_aspect = maintain_aspect
+
+            imgui.separator()
+
+            # toggles to flip axes cameras
+            for axis in ["x", "y", "z"]:
+                scale = getattr(self.get_subplot().camera.local, f"scale_{axis}")
+                changed, flip = imgui.menu_item(
+                    f"Flip {axis} axis", "", bool(scale < 0)
+                )
+
+                if changed:
+                    flip_axis(self.get_subplot(), axis, flip)
+
+            imgui.separator()
+
+            # toggles to show/hide the grid
+            for plane in ["xy", "xz", "yz"]:
+                grid = getattr(self.get_subplot().axes.grids, plane)
+                visible = grid.visible
+                changed, new_visible = imgui.menu_item(f"Grid {plane}", "", visible)
+
+                if changed:
+                    grid.visible = new_visible
+
+            imgui.separator()
+
+            # camera FOV
+            changed, fov = imgui.slider_float(
+                "FOV", v=self.get_subplot().camera.fov, v_min=0.0, v_max=180.0
+            )
+
+            imgui.separator()
+
+            if changed:
+                # FOV between 0 and 1 is numerically unstable
+                if 0 < fov < 1:
+                    fov = 1
+
+                # need to update FOV via controller, if FOV is directly set
+                # on the camera the controller will immediately set it back
+                self.get_subplot().controller.update_fov(
+                    fov - self.get_subplot().camera.fov,
+                    animate=False,
+                )
+
+            imgui.separator()
+
+            # controller options
+            if imgui.begin_menu("Controller"):
+                _, enabled = imgui.menu_item(
+                    "Enabled", "", self.get_subplot().controller.enabled
+                )
+
+                self.get_subplot().controller.enabled = enabled
+
+                changed, damping = imgui.slider_float(
+                    "Damping",
+                    v=self.get_subplot().controller.damping,
+                    v_min=0.0,
+                    v_max=10.0,
+                )
+
+                if changed:
+                    self.get_subplot().controller.damping = damping
+
+                imgui.separator()
+                imgui.text("Controller type:")
+                # switching between different controllers
+                for name, controller_type_iter in controller_types.items():
+                    current_type = type(self.get_subplot().controller)
+
+                    clicked, _ = imgui.menu_item(
+                        label=name,
+                        shortcut="",
+                        p_selected=current_type is controller_type_iter,
+                    )
+
+                    if clicked and (current_type is not controller_type_iter):
+                        # menu item was clicked and the desired controller isn't the current one
+                        self.get_subplot().controller = name
+
+                imgui.end_menu()
+
+            imgui.end_popup()
diff --git a/fastplotlib/utils/__init__.py b/fastplotlib/utils/__init__.py
index 3ae83fb6b..dce4d96f9 100644
--- a/fastplotlib/utils/__init__.py
+++ b/fastplotlib/utils/__init__.py
@@ -1,6 +1,7 @@
 from dataclasses import dataclass
 
-
+# this MUST be imported as early as possible in fpl.__init__ before any other wgpu stuff
+from .gui import loop
 from .functions import *
 from .gpu import enumerate_adapters, select_adapter, print_wgpu_report
 from ._plot_helpers import *
diff --git a/fastplotlib/utils/colormaps/Accent b/fastplotlib/utils/colormaps/Accent
deleted file mode 100644
index 3bc12ed62..000000000
--- a/fastplotlib/utils/colormaps/Accent
+++ /dev/null
@@ -1,8 +0,0 @@
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-2.196078449487686157e-01 4.235294163227081299e-01 6.901960968971252441e-01 1.000000000000000000e+00
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-4.000000059604644775e-01 4.000000059604644775e-01 4.000000059604644775e-01 1.000000000000000000e+00
diff --git a/fastplotlib/utils/colormaps/Blues b/fastplotlib/utils/colormaps/Blues
deleted file mode 100644
index e1684d87a..000000000
--- a/fastplotlib/utils/colormaps/Blues
+++ /dev/null
@@ -1,256 +0,0 @@
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diff --git a/fastplotlib/utils/colormaps/BrBG b/fastplotlib/utils/colormaps/BrBG
deleted file mode 100644
index b737a5d04..000000000
--- a/fastplotlib/utils/colormaps/BrBG
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/BuGn b/fastplotlib/utils/colormaps/BuGn
deleted file mode 100644
index e7d2c33a6..000000000
--- a/fastplotlib/utils/colormaps/BuGn
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/BuPu b/fastplotlib/utils/colormaps/BuPu
deleted file mode 100644
index bfdac03b4..000000000
--- a/fastplotlib/utils/colormaps/BuPu
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/CMRmap b/fastplotlib/utils/colormaps/CMRmap
deleted file mode 100644
index a5fb9dac1..000000000
--- a/fastplotlib/utils/colormaps/CMRmap
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/Dark2 b/fastplotlib/utils/colormaps/Dark2
deleted file mode 100644
index 08f686764..000000000
--- a/fastplotlib/utils/colormaps/Dark2
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diff --git a/fastplotlib/utils/colormaps/GnBu b/fastplotlib/utils/colormaps/GnBu
deleted file mode 100644
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diff --git a/fastplotlib/utils/colormaps/Greens b/fastplotlib/utils/colormaps/Greens
deleted file mode 100644
index 7e1a8733a..000000000
--- a/fastplotlib/utils/colormaps/Greens
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/Greys b/fastplotlib/utils/colormaps/Greys
deleted file mode 100644
index d00696898..000000000
--- a/fastplotlib/utils/colormaps/Greys
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/OrRd b/fastplotlib/utils/colormaps/OrRd
deleted file mode 100644
index 898a6d7c4..000000000
--- a/fastplotlib/utils/colormaps/OrRd
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/Oranges b/fastplotlib/utils/colormaps/Oranges
deleted file mode 100644
index 26534a14b..000000000
--- a/fastplotlib/utils/colormaps/Oranges
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/PRGn b/fastplotlib/utils/colormaps/PRGn
deleted file mode 100644
index 33b818b35..000000000
--- a/fastplotlib/utils/colormaps/PRGn
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/Paired b/fastplotlib/utils/colormaps/Paired
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diff --git a/fastplotlib/utils/colormaps/PiYG b/fastplotlib/utils/colormaps/PiYG
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diff --git a/fastplotlib/utils/colormaps/PuBu b/fastplotlib/utils/colormaps/PuBu
deleted file mode 100644
index 92c3dd7e9..000000000
--- a/fastplotlib/utils/colormaps/PuBu
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/PuBuGn b/fastplotlib/utils/colormaps/PuBuGn
deleted file mode 100644
index 1c70e5147..000000000
--- a/fastplotlib/utils/colormaps/PuBuGn
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/PuOr b/fastplotlib/utils/colormaps/PuOr
deleted file mode 100644
index 9f95d83c9..000000000
--- a/fastplotlib/utils/colormaps/PuOr
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/PuRd b/fastplotlib/utils/colormaps/PuRd
deleted file mode 100644
index 0c5014f78..000000000
--- a/fastplotlib/utils/colormaps/PuRd
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/Purples b/fastplotlib/utils/colormaps/Purples
deleted file mode 100644
index 3d6079876..000000000
--- a/fastplotlib/utils/colormaps/Purples
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/RdBu b/fastplotlib/utils/colormaps/RdBu
deleted file mode 100644
index 6482fa00f..000000000
--- a/fastplotlib/utils/colormaps/RdBu
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/RdGy b/fastplotlib/utils/colormaps/RdGy
deleted file mode 100644
index a6f80f093..000000000
--- a/fastplotlib/utils/colormaps/RdGy
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/RdPu b/fastplotlib/utils/colormaps/RdPu
deleted file mode 100644
index 9c6375b05..000000000
--- a/fastplotlib/utils/colormaps/RdPu
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/RdYlBu b/fastplotlib/utils/colormaps/RdYlBu
deleted file mode 100644
index 9323fe0b1..000000000
--- a/fastplotlib/utils/colormaps/RdYlBu
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/RdYlGn b/fastplotlib/utils/colormaps/RdYlGn
deleted file mode 100644
index bfe5c3ef1..000000000
--- a/fastplotlib/utils/colormaps/RdYlGn
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/Reds b/fastplotlib/utils/colormaps/Reds
deleted file mode 100644
index daaee20b6..000000000
--- a/fastplotlib/utils/colormaps/Reds
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/Wistia b/fastplotlib/utils/colormaps/Wistia
deleted file mode 100644
index e21659ece..000000000
--- a/fastplotlib/utils/colormaps/Wistia
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/YlGn b/fastplotlib/utils/colormaps/YlGn
deleted file mode 100644
index 74f49a080..000000000
--- a/fastplotlib/utils/colormaps/YlGn
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/YlGnBu b/fastplotlib/utils/colormaps/YlGnBu
deleted file mode 100644
index fc81887cc..000000000
--- a/fastplotlib/utils/colormaps/YlGnBu
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/YlOrBr b/fastplotlib/utils/colormaps/YlOrBr
deleted file mode 100644
index f23bd5af1..000000000
--- a/fastplotlib/utils/colormaps/YlOrBr
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/YlOrRd b/fastplotlib/utils/colormaps/YlOrRd
deleted file mode 100644
index 84c507f5c..000000000
--- a/fastplotlib/utils/colormaps/YlOrRd
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/__init__.py b/fastplotlib/utils/colormaps/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/fastplotlib/utils/colormaps/afmhot b/fastplotlib/utils/colormaps/afmhot
deleted file mode 100644
index 41158d67c..000000000
--- a/fastplotlib/utils/colormaps/afmhot
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diff --git a/fastplotlib/utils/colormaps/autumn b/fastplotlib/utils/colormaps/autumn
deleted file mode 100644
index b6c4be628..000000000
--- a/fastplotlib/utils/colormaps/autumn
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/binary b/fastplotlib/utils/colormaps/binary
deleted file mode 100644
index 19ae9bd30..000000000
--- a/fastplotlib/utils/colormaps/binary
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/bone b/fastplotlib/utils/colormaps/bone
deleted file mode 100644
index 4dea86b82..000000000
--- a/fastplotlib/utils/colormaps/bone
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/brg b/fastplotlib/utils/colormaps/brg
deleted file mode 100644
index 8ff668122..000000000
--- a/fastplotlib/utils/colormaps/brg
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/bwr b/fastplotlib/utils/colormaps/bwr
deleted file mode 100644
index 5cfe14afb..000000000
--- a/fastplotlib/utils/colormaps/bwr
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/cividis b/fastplotlib/utils/colormaps/cividis
deleted file mode 100644
index 30005ec22..000000000
--- a/fastplotlib/utils/colormaps/cividis
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/cool b/fastplotlib/utils/colormaps/cool
deleted file mode 100644
index 4af027533..000000000
--- a/fastplotlib/utils/colormaps/cool
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/coolwarm b/fastplotlib/utils/colormaps/coolwarm
deleted file mode 100644
index fc1d170e9..000000000
--- a/fastplotlib/utils/colormaps/coolwarm
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/copper b/fastplotlib/utils/colormaps/copper
deleted file mode 100644
index aad93521a..000000000
--- a/fastplotlib/utils/colormaps/copper
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/cubehelix b/fastplotlib/utils/colormaps/cubehelix
deleted file mode 100644
index 58103ea52..000000000
--- a/fastplotlib/utils/colormaps/cubehelix
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/flag b/fastplotlib/utils/colormaps/flag
deleted file mode 100644
index 0b54453c0..000000000
--- a/fastplotlib/utils/colormaps/flag
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/gist_earth b/fastplotlib/utils/colormaps/gist_earth
deleted file mode 100644
index 86667b3f7..000000000
--- a/fastplotlib/utils/colormaps/gist_earth
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/gist_gray b/fastplotlib/utils/colormaps/gist_gray
deleted file mode 100644
index 42b875285..000000000
--- a/fastplotlib/utils/colormaps/gist_gray
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/gist_heat b/fastplotlib/utils/colormaps/gist_heat
deleted file mode 100644
index 9e17b7574..000000000
--- a/fastplotlib/utils/colormaps/gist_heat
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/gist_ncar b/fastplotlib/utils/colormaps/gist_ncar
deleted file mode 100644
index 333046723..000000000
--- a/fastplotlib/utils/colormaps/gist_ncar
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/gist_rainbow b/fastplotlib/utils/colormaps/gist_rainbow
deleted file mode 100644
index fb672f385..000000000
--- a/fastplotlib/utils/colormaps/gist_rainbow
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/gist_stern b/fastplotlib/utils/colormaps/gist_stern
deleted file mode 100644
index 797229f41..000000000
--- a/fastplotlib/utils/colormaps/gist_stern
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/gist_yarg b/fastplotlib/utils/colormaps/gist_yarg
deleted file mode 100644
index 19ae9bd30..000000000
--- a/fastplotlib/utils/colormaps/gist_yarg
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/gnuplot b/fastplotlib/utils/colormaps/gnuplot
deleted file mode 100644
index 481a27626..000000000
--- a/fastplotlib/utils/colormaps/gnuplot
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diff --git a/fastplotlib/utils/colormaps/gnuplot2 b/fastplotlib/utils/colormaps/gnuplot2
deleted file mode 100644
index 6c9146d47..000000000
--- a/fastplotlib/utils/colormaps/gnuplot2
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diff --git a/fastplotlib/utils/colormaps/gray b/fastplotlib/utils/colormaps/gray
deleted file mode 100644
index 42b875285..000000000
--- a/fastplotlib/utils/colormaps/gray
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diff --git a/fastplotlib/utils/colormaps/hot b/fastplotlib/utils/colormaps/hot
deleted file mode 100644
index a85a40219..000000000
--- a/fastplotlib/utils/colormaps/hot
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/hsv b/fastplotlib/utils/colormaps/hsv
deleted file mode 100644
index 126d76f39..000000000
--- a/fastplotlib/utils/colormaps/hsv
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/inferno b/fastplotlib/utils/colormaps/inferno
deleted file mode 100644
index dc84e7b0e..000000000
--- a/fastplotlib/utils/colormaps/inferno
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/jet b/fastplotlib/utils/colormaps/jet
deleted file mode 100644
index 9ca10bb71..000000000
--- a/fastplotlib/utils/colormaps/jet
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diff --git a/fastplotlib/utils/colormaps/magma b/fastplotlib/utils/colormaps/magma
deleted file mode 100644
index 674bb9963..000000000
--- a/fastplotlib/utils/colormaps/magma
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/nipy_spectral b/fastplotlib/utils/colormaps/nipy_spectral
deleted file mode 100644
index ff914a0fe..000000000
--- a/fastplotlib/utils/colormaps/nipy_spectral
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/ocean b/fastplotlib/utils/colormaps/ocean
deleted file mode 100644
index e42719b48..000000000
--- a/fastplotlib/utils/colormaps/ocean
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diff --git a/fastplotlib/utils/colormaps/pink b/fastplotlib/utils/colormaps/pink
deleted file mode 100644
index bf4d1310f..000000000
--- a/fastplotlib/utils/colormaps/pink
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/plasma b/fastplotlib/utils/colormaps/plasma
deleted file mode 100644
index 3675e89ce..000000000
--- a/fastplotlib/utils/colormaps/plasma
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/prism b/fastplotlib/utils/colormaps/prism
deleted file mode 100644
index 2fa55cbc4..000000000
--- a/fastplotlib/utils/colormaps/prism
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diff --git a/fastplotlib/utils/colormaps/rainbow b/fastplotlib/utils/colormaps/rainbow
deleted file mode 100644
index f90067236..000000000
--- a/fastplotlib/utils/colormaps/rainbow
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/seismic b/fastplotlib/utils/colormaps/seismic
deleted file mode 100644
index d66ad3a88..000000000
--- a/fastplotlib/utils/colormaps/seismic
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diff --git a/fastplotlib/utils/colormaps/spring b/fastplotlib/utils/colormaps/spring
deleted file mode 100644
index fcec30dc6..000000000
--- a/fastplotlib/utils/colormaps/spring
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/summer b/fastplotlib/utils/colormaps/summer
deleted file mode 100644
index 6fab4e585..000000000
--- a/fastplotlib/utils/colormaps/summer
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/tab10 b/fastplotlib/utils/colormaps/tab10
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diff --git a/fastplotlib/utils/colormaps/terrain b/fastplotlib/utils/colormaps/terrain
deleted file mode 100644
index fd79cbfa7..000000000
--- a/fastplotlib/utils/colormaps/terrain
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/turbo b/fastplotlib/utils/colormaps/turbo
deleted file mode 100644
index bf6090ac4..000000000
--- a/fastplotlib/utils/colormaps/turbo
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/twilight b/fastplotlib/utils/colormaps/twilight
deleted file mode 100644
index c148a835c..000000000
--- a/fastplotlib/utils/colormaps/twilight
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/twilight_shifted b/fastplotlib/utils/colormaps/twilight_shifted
deleted file mode 100644
index b57b2270b..000000000
--- a/fastplotlib/utils/colormaps/twilight_shifted
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/viridis b/fastplotlib/utils/colormaps/viridis
deleted file mode 100644
index 4666f6e38..000000000
--- a/fastplotlib/utils/colormaps/viridis
+++ /dev/null
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diff --git a/fastplotlib/utils/colormaps/winter b/fastplotlib/utils/colormaps/winter
deleted file mode 100644
index d97346bbe..000000000
--- a/fastplotlib/utils/colormaps/winter
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-0.000000000000000000e+00 9.568627476692199707e-01 5.215686559677124023e-01 1.000000000000000000e+00
-0.000000000000000000e+00 9.607843160629272461e-01 5.196078419685363770e-01 1.000000000000000000e+00
-0.000000000000000000e+00 9.647058844566345215e-01 5.176470875740051270e-01 1.000000000000000000e+00
-0.000000000000000000e+00 9.686274528503417969e-01 5.156862735748291016e-01 1.000000000000000000e+00
-0.000000000000000000e+00 9.725490212440490723e-01 5.137255191802978516e-01 1.000000000000000000e+00
-0.000000000000000000e+00 9.764705896377563477e-01 5.117647051811218262e-01 1.000000000000000000e+00
-0.000000000000000000e+00 9.803921580314636230e-01 5.098039507865905762e-01 1.000000000000000000e+00
-0.000000000000000000e+00 9.843137264251708984e-01 5.078431367874145508e-01 1.000000000000000000e+00
-0.000000000000000000e+00 9.882352948188781738e-01 5.058823823928833008e-01 1.000000000000000000e+00
-0.000000000000000000e+00 9.921568632125854492e-01 5.039215683937072754e-01 1.000000000000000000e+00
-0.000000000000000000e+00 9.960784316062927246e-01 5.019608139991760254e-01 1.000000000000000000e+00
-0.000000000000000000e+00 1.000000000000000000e+00 5.000000000000000000e-01 1.000000000000000000e+00
diff --git a/fastplotlib/utils/functions.py b/fastplotlib/utils/functions.py
index 73752ba5e..02dcd0572 100644
--- a/fastplotlib/utils/functions.py
+++ b/fastplotlib/utils/functions.py
@@ -1,30 +1,144 @@
 from collections import OrderedDict
-from pathlib import Path
+from typing import *
 
 import numpy as np
+import cmap as cmap_lib
 
 from pygfx import Texture, Color
 
-# some funcs adapted from mesmerize
 
-
-QUALITATIVE_CMAPS = [
-    "Pastel1",
-    "Pastel2",
-    "Paired",
-    "Accent",
-    "Dark2",
-    "Set1",
-    "Set2",
-    "Set3",
-    "tab10",
-    "tab20",
-    "tab20b",
-    "tab20c",
-]
-
-
-def get_cmap(name: str, alpha: float = 1.0) -> np.ndarray:
+cmap_catalog = cmap_lib.Catalog()
+
+COLORMAPS = sorted(
+    [
+        "viridis",
+        "plasma",
+        "inferno",
+        "magma",
+        "cividis",
+        "Greys",
+        "Purples",
+        "Blues",
+        "Greens",
+        "Oranges",
+        "Reds",
+        "tol:YlOrBr",
+        "YlOrRd",
+        "OrRd",
+        "PuRd",
+        "RdPu",
+        "BuPu",
+        "GnBu",
+        "PuBu",
+        "YlGnBu",
+        "PuBuGn",
+        "BuGn",
+        "YlGn",
+        "binary",
+        "gist_yarg",
+        "gist_gray",
+        "gray",
+        "bone",
+        "pink",
+        "spring",
+        "summer",
+        "autumn",
+        "winter",
+        "cool",
+        "Wistia",
+        "hot",
+        "afmhot",
+        "gist_heat",
+        "matlab:copper",
+        "PiYG",
+        "tol:PRGn",
+        "BrBG",
+        "PuOr",
+        "RdGy",
+        "vispy:RdBu",
+        "RdYlBu",
+        "RdYlGn",
+        "Spectral",
+        "coolwarm",
+        "bwr",
+        "seismic",
+        "berlin",
+        "vanimo",
+        "twilight",
+        "twilight_shifted",
+        "hsv",
+        "Pastel1",
+        "Pastel2",
+        "Paired",
+        "Accent",
+        "Dark2",
+        "Set1",
+        "Set2",
+        "Set3",
+        "tab10",
+        "tab20",
+        "tab20b",
+        "tab20c",
+        "flag",
+        "prism",
+        "gnuplot:ocean",
+        "gist_earth",
+        "terrain",
+        "gist_stern",
+        "gnuplot",
+        "gnuplot2",
+        "CMRmap",
+        "cubehelix",
+        "brg",
+        "gist_rainbow",
+        "yorick:rainbow",
+        "jet",
+        "turbo",
+        "nipy_spectral",
+        "gist_ncar",
+    ]
+)
+
+SEQUENTIAL_CMAPS = list()
+QUALITATIVE_CMAPS = list()
+CYCLIC_CMAPS = list()
+DIVERGING_CMAPS = list()
+MISC_CMAPS = list()
+
+
+for name in COLORMAPS:
+    _colormap = cmap_lib.Colormap(name)
+    match _colormap.category:
+        case "sequential":
+            if _colormap.interpolation == "nearest":
+                continue
+            SEQUENTIAL_CMAPS.append(name)
+        case "cyclic":
+            if _colormap.interpolation == "nearest":
+                continue
+            CYCLIC_CMAPS.append(name)
+        case "diverging":
+            if _colormap.interpolation == "nearest":
+                continue
+            DIVERGING_CMAPS.append(name)
+        case "qualitative":
+            QUALITATIVE_CMAPS.append(name)
+        case "miscellaneous":
+            if _colormap.interpolation == "nearest":
+                continue
+            MISC_CMAPS.append(name)
+
+
+COLORMAP_NAMES = {
+    "sequential": sorted(SEQUENTIAL_CMAPS),
+    "cyclic": sorted(CYCLIC_CMAPS),
+    "diverging": sorted(DIVERGING_CMAPS),
+    "qualitative": sorted(QUALITATIVE_CMAPS),
+    "miscellaneous": sorted(MISC_CMAPS),
+}
+
+
+def get_cmap(name: str, alpha: float = 1.0, gamma: float = 1.0) -> np.ndarray:
     """
     Get a colormap as numpy array
 
@@ -34,6 +148,8 @@ def get_cmap(name: str, alpha: float = 1.0) -> np.ndarray:
         name of colormap
     alpha: float
         alpha, 0.0 - 1.0
+    gamma: float
+        gamma, 0.0 - 1.0
 
     Returns
     -------
@@ -42,23 +158,8 @@ def get_cmap(name: str, alpha: float = 1.0) -> np.ndarray:
 
     """
 
-    cmap_path = Path(__file__).absolute().parent.joinpath("colormaps", name)
-    if cmap_path.is_file():
-        cmap = np.loadtxt(cmap_path)
-
-    else:
-        try:
-            from .generate_colormaps import make_cmap
-
-            cmap = make_cmap(name, alpha)
-        except (ImportError, ModuleNotFoundError):
-            raise ModuleNotFoundError(
-                "Couldn't find colormap files, matplotlib is required to generate them "
-                "if they aren't found. Please install `matplotlib`"
-            )
-
+    cmap = cmap_lib.Colormap(name).lut(256, gamma=gamma)
     cmap[:, -1] = alpha
-
     return cmap.astype(np.float32)
 
 
@@ -84,34 +185,36 @@ def make_colors(n_colors: int, cmap: str, alpha: float = 1.0) -> np.ndarray:
         shape is [n_colors, 4], where the last dimension is RGBA
 
     """
-    name = cmap
-    cmap = get_cmap(name, alpha)
 
-    if name in QUALITATIVE_CMAPS:
-        max_colors = cmap.shape[0]
-        if n_colors > cmap.shape[0]:
+    cm = cmap_lib.Colormap(cmap)
+
+    # can also use cm.category == "qualitative", but checking for non-interpolated
+    # colormaps is a bit more general.  (and not all "custom" colormaps will be
+    # assigned a category)
+    if cm.interpolation == "nearest":
+        max_colors = len(cm.color_stops)
+        if n_colors > max_colors:
             raise ValueError(
                 f"You have requested <{n_colors}> colors but only <{max_colors}> exist for the "
-                f"chosen cmap: <{name}>"
+                f"chosen cmap: <{cmap}>"
             )
-        return cmap[:n_colors]
+        return np.asarray(cm.color_stops, dtype=np.float32)[:n_colors, 1:]
 
     cm_ixs = np.linspace(0, 255, n_colors, dtype=int)
-    return np.take(cmap, cm_ixs, axis=0).astype(np.float32)
+    return cm(cm_ixs).astype(np.float32)
 
 
 def get_cmap_texture(name: str, alpha: float = 1.0) -> Texture:
-    cmap = get_cmap(name)
-    return Texture(cmap, dim=1)
+    return cmap_lib.Colormap(name).to_pygfx()
 
 
-def make_colors_dict(labels: iter, cmap: str, **kwargs) -> OrderedDict:
+def make_colors_dict(labels: Sequence, cmap: str, **kwargs) -> OrderedDict:
     """
     Get a dict for mapping labels onto colors.
 
     Parameters
     ----------
-    labels: Iterable[Any]
+    labels: Sequence[Any]
         labels for creating a colormap. Order is maintained if it is a list of unique elements.
 
     cmap: str
@@ -276,8 +379,11 @@ def parse_cmap_values(
 
         n_colors = colormap.shape[0] - 1
 
-        if cmap_name in QUALITATIVE_CMAPS:
-            # check that cmap_transform are <int> and within the number of colors `n_colors`
+        # can also use cm.category == "qualitative"
+        if cmap_lib.Colormap(cmap_name).interpolation == "nearest":
+
+            # check that cmap_values are <int> and within the number of colors `n_colors`
+
             # do not scale, use directly
             if not np.issubdtype(transform.dtype, np.integer):
                 raise TypeError(
diff --git a/fastplotlib/utils/generate_colormaps.py b/fastplotlib/utils/generate_colormaps.py
deleted file mode 100644
index e56a9f226..000000000
--- a/fastplotlib/utils/generate_colormaps.py
+++ /dev/null
@@ -1,126 +0,0 @@
-import numpy as np
-from matplotlib import cm
-
-
-class ColormapNames:
-    perceptually_uniform = ["viridis", "plasma", "inferno", "magma", "cividis"]
-    sequential = [
-        "Greys",
-        "Purples",
-        "Blues",
-        "Greens",
-        "Oranges",
-        "Reds",
-        "YlOrBr",
-        "YlOrRd",
-        "OrRd",
-        "PuRd",
-        "RdPu",
-        "BuPu",
-        "GnBu",
-        "PuBu",
-        "YlGnBu",
-        "PuBuGn",
-        "BuGn",
-        "YlGn",
-    ]
-
-    sequential2 = [
-        "binary",
-        "gist_yarg",
-        "gist_gray",
-        "gray",
-        "bone",
-        "pink",
-        "spring",
-        "summer",
-        "autumn",
-        "winter",
-        "cool",
-        "Wistia",
-        "hot",
-        "afmhot",
-        "gist_heat",
-        "copper",
-    ]
-
-    diverging = [
-        "PiYG",
-        "PRGn",
-        "BrBG",
-        "PuOr",
-        "RdGy",
-        "RdBu",
-        "RdYlBu",
-        "RdYlGn",
-        "Spectral",
-        "coolwarm",
-        "bwr",
-        "seismic",
-    ]
-
-    cyclic = ["twilight", "twilight_shifted", "hsv"]
-
-    qualitative = [
-        "Pastel1",
-        "Pastel2",
-        "Paired",
-        "Accent",
-        "Dark2",
-        "Set1",
-        "Set2",
-        "Set3",
-        "tab10",
-        "tab20",
-        "tab20b",
-        "tab20c",
-    ]
-
-    miscellaneous = [
-        "flag",
-        "prism",
-        "ocean",
-        "gist_earth",
-        "terrain",
-        "gist_stern",
-        "gnuplot",
-        "gnuplot2",
-        "CMRmap",
-        "cubehelix",
-        "brg",
-        "gist_rainbow",
-        "rainbow",
-        "jet",
-        "turbo",
-        "nipy_spectral",
-        "gist_ncar",
-    ]
-
-    all = (
-        perceptually_uniform
-        + sequential
-        + sequential2
-        + diverging
-        + cyclic
-        + qualitative
-        + miscellaneous
-    )
-
-
-def make_cmap(name: str, alpha: float = 1.0) -> np.ndarray:
-    _cm = getattr(cm, name)
-
-    if name in ColormapNames.qualitative:
-        n_colors = getattr(_cm, "N")
-    else:
-        n_colors = 256
-
-    cmap = np.vstack([_cm(i) for i in range(n_colors)])
-    cmap[:, -1] = alpha
-
-    return cmap.astype(np.float32)
-
-
-if __name__ == "__main__":
-    for name in ColormapNames().all:
-        np.savetxt(f"./colormaps/{name}", make_cmap(name))
diff --git a/fastplotlib/utils/gpu.py b/fastplotlib/utils/gpu.py
index 72d303d23..912cf0935 100644
--- a/fastplotlib/utils/gpu.py
+++ b/fastplotlib/utils/gpu.py
@@ -4,10 +4,10 @@
 
 
 def enumerate_adapters() -> list[wgpu.GPUAdapter]:
-    return wgpu.gpu.enumerate_adapters()
+    return wgpu.gpu.enumerate_adapters_sync()
 
 
-enumerate_adapters.__doc__ = wgpu.gpu.enumerate_adapters.__doc__
+enumerate_adapters.__doc__ = wgpu.gpu.enumerate_adapters_async.__doc__
 
 
 def select_adapter(adapter: wgpu.GPUAdapter):
diff --git a/fastplotlib/utils/gui.py b/fastplotlib/utils/gui.py
index 1941674ee..6a0d8dfdc 100644
--- a/fastplotlib/utils/gui.py
+++ b/fastplotlib/utils/gui.py
@@ -33,10 +33,11 @@
 
 
 # Let wgpu do the auto gui selection
-from wgpu.gui.auto import WgpuCanvas, run
+from rendercanvas import BaseRenderCanvas
+from rendercanvas.auto import RenderCanvas, loop
 
 # Get the name of the backend ('qt', 'glfw', 'jupyter')
-GUI_BACKEND = WgpuCanvas.__module__.split(".")[-1]
+GUI_BACKEND = RenderCanvas.__module__.split(".")[-1]
 IS_JUPYTER = GUI_BACKEND == "jupyter"
 
 
@@ -45,7 +46,7 @@
 
 def _notebook_print_banner():
     from ipywidgets import Image
-    from IPython.display import display
+    from IPython.display import display, HTML
 
     logo_path = Path(__file__).parent.parent.joinpath(
         "assets", "fastplotlib_face_logo.png"
@@ -54,50 +55,76 @@ def _notebook_print_banner():
     with open(logo_path, "rb") as f:
         logo_data = f.read()
 
+    # get small logo image
     image = Image(value=logo_data, format="png", width=300, height=55)
 
-    display(image)
-
-    # print logo and adapter info
-    adapters = [a for a in wgpu.gpu.enumerate_adapters()]
-    adapters_info = [a.request_adapter_info() for a in adapters]
+    # get adapters and info
+    adapters = [a for a in wgpu.gpu.enumerate_adapters_sync()]
+    adapters_info = [a.info for a in adapters]
 
-    default_adapter_info = wgpu.gpu.request_adapter().request_adapter_info()
+    default_adapter_info = wgpu.gpu.request_adapter_sync().info
     default_ix = adapters_info.index(default_adapter_info)
 
-    if len(adapters) > 0:
-        print("Available devices:")
+    if len(adapters) < 1:
+        return
+
+    # start HTML table
+    table_str = (
+        "<b>Available devices:</b>"
+        "<table>"
+        "<tr>"
+        "<th>Valid</th>"
+        "<th>Device</th>"
+        "<th>Type</th>"
+        "<th>Backend</th>"
+        "<th>Driver</th>"
+        "</tr>"
+    )
 
+    # parse each adapter that WGPU found
     for ix, adapter in enumerate(adapters_info):
         atype = adapter["adapter_type"]
         backend = adapter["backend_type"]
         driver = adapter["description"]
         device = adapter["device"]
 
-        if atype == "DiscreteGPU" and backend != "OpenGL":
-            charactor = chr(0x2705)
-        elif atype == "IntegratedGPU" and backend != "OpenGL":
-            charactor = chr(0x0001FBC4)
+        if atype in ("DiscreteGPU", "IntegratedGPU") and backend != "OpenGL":
+            charactor = chr(0x2705)  # green checkmark
+            tooltip = "This adapter can be used with fastplotlib"
+        elif backend == "OpenGL":
+            charactor = chr(0x0000274C)  # red x
+            tooltip = "This adapter cannot be used with fastplotlib"
+        elif device.startswith("llvmpipe") or atype == "CPU":
+            charactor = f"{chr(0x00002757)} limited"  # red !
+            tooltip = "CPU rendering support is limited and mainly for testing purposes"
         else:
-            charactor = chr(0x2757)
+            charactor = f"{chr(0x00002757)} unknown"  # red !
+            tooltip = "Unknown adapter type and backend"
 
         if ix == default_ix:
             default = " (default) "
         else:
-            default = " "
+            default = ""
 
-        output_str = f"{charactor}{default}| {device} | {atype} | {backend} | {driver}"
-        print(output_str)
+        # add row to HTML table
+        table_str += f'<tr title="{tooltip}">'
+        # add each element to this row
+        for s in [f"{charactor}{default}", device, atype, backend, driver]:
+            table_str += f"<td>{s}</td>"
+        table_str += "</tr>"
+
+    table_str += "</table>"
+
+    # display logo and adapters table
+    display(image)
+    display(HTML(table_str))
 
 
 if GUI_BACKEND == "jupyter":
     _notebook_print_banner()
 
 elif GUI_BACKEND == "qt":
-    from wgpu.gui.qt import get_app, libname
-
-    # create and store ref to qt app
-    _qt_app = get_app()
+    from rendercanvas.qt import libname
 
     # Import submodules of PySide6/PyQt6/PySid2/PyQt5
     # For the way that fpl uses Qt, the supported Qt libs seems compatible enough.
diff --git a/fastplotlib/widgets/__init__.py b/fastplotlib/widgets/__init__.py
index 30a68d672..766620ea6 100644
--- a/fastplotlib/widgets/__init__.py
+++ b/fastplotlib/widgets/__init__.py
@@ -1,3 +1,3 @@
-from .image import ImageWidget
+from .image_widget import ImageWidget
 
 __all__ = ["ImageWidget"]
diff --git a/fastplotlib/widgets/_image_widget_ipywidget_toolbar.py b/fastplotlib/widgets/_image_widget_ipywidget_toolbar.py
deleted file mode 100644
index 24f7a6279..000000000
--- a/fastplotlib/widgets/_image_widget_ipywidget_toolbar.py
+++ /dev/null
@@ -1,135 +0,0 @@
-from functools import partial
-
-from ipywidgets import (
-    VBox,
-    Button,
-    Layout,
-    IntSlider,
-    BoundedIntText,
-    Play,
-    jslink,
-    HBox,
-)
-
-
-class IpywidgetImageWidgetToolbar(VBox):
-    def __init__(self, iw):
-        """
-        Basic toolbar for a ImageWidget instance.
-
-        Parameters
-        ----------
-        plot:
-        """
-        self.iw = iw
-
-        self.reset_vminvmax_button = Button(
-            value=False,
-            disabled=False,
-            icon="adjust",
-            layout=Layout(width="auto"),
-            tooltip="reset vmin/vmax",
-        )
-
-        self.reset_vminvmax_hlut_button = Button(
-            value=False,
-            icon="adjust",
-            description="reset",
-            layout=Layout(width="auto"),
-            tooltip="reset vmin/vmax and reset histogram using current frame",
-        )
-
-        self.sliders: dict[str, IntSlider] = dict()
-
-        # only for xy data, no time point slider needed
-        if self.iw.ndim == 2:
-            widgets = [self.reset_vminvmax_button]
-        # for txy, tzxy, etc. data
-        else:
-            for dim in self.iw.slider_dims:
-                slider = IntSlider(
-                    min=0,
-                    max=self.iw._dims_max_bounds[dim] - 1,
-                    step=1,
-                    value=0,
-                    description=f"dimension: {dim}",
-                    orientation="horizontal",
-                )
-
-                slider.observe(
-                    partial(self.iw._slider_value_changed, dim), names="value"
-                )
-
-                self.sliders[dim] = slider
-
-            self.step_size_setter = BoundedIntText(
-                value=1,
-                min=1,
-                max=self.sliders["t"].max,
-                step=1,
-                description="Step Size:",
-                disabled=False,
-                description_tooltip="set slider step",
-                layout=Layout(width="150px"),
-            )
-            self.speed_text = BoundedIntText(
-                value=100,
-                min=1,
-                max=1_000,
-                step=50,
-                description="Speed",
-                disabled=False,
-                description_tooltip="Playback speed, this is NOT framerate.\nArbitrary units between 1 - 1,000",
-                layout=Layout(width="150px"),
-            )
-            self.play_button = Play(
-                value=0,
-                min=self.sliders["t"].min,
-                max=self.sliders["t"].max,
-                step=self.sliders["t"].step,
-                description="play/pause",
-                disabled=False,
-            )
-            widgets = [
-                self.reset_vminvmax_button,
-                self.reset_vminvmax_hlut_button,
-                self.play_button,
-                self.step_size_setter,
-                self.speed_text,
-            ]
-
-            self.play_button.interval = 10
-
-            self.step_size_setter.observe(self._change_stepsize, "value")
-            self.speed_text.observe(self._change_framerate, "value")
-            jslink((self.play_button, "value"), (self.sliders["t"], "value"))
-            jslink((self.play_button, "max"), (self.sliders["t"], "max"))
-
-        self.reset_vminvmax_button.on_click(self._reset_vminvmax)
-        self.reset_vminvmax_hlut_button.on_click(self._reset_vminvmax_frame)
-
-        self.iw.figure.renderer.add_event_handler(self._set_slider_layout, "resize")
-
-        # the buttons
-        self.hbox = HBox(widgets)
-
-        super().__init__((self.hbox, *list(self.sliders.values())))
-
-    def _reset_vminvmax(self, obj):
-        self.iw.reset_vmin_vmax()
-
-    def _reset_vminvmax_frame(self, obj):
-        self.iw.reset_vmin_vmax_frame()
-
-    def _change_stepsize(self, obj):
-        self.sliders["t"].step = self.step_size_setter.value
-
-    def _change_framerate(self, change):
-        interval = int(1000 / change["new"])
-        self.play_button.interval = interval
-
-    def _set_slider_layout(self, *args):
-        w, h = self.iw.figure.renderer.logical_size
-
-        for k, v in self.sliders.items():
-            v.layout = Layout(width=f"{w}px")
diff --git a/fastplotlib/widgets/_image_widget_qt_toolbar.py b/fastplotlib/widgets/_image_widget_qt_toolbar.py
deleted file mode 100644
index 2117f95ab..000000000
--- a/fastplotlib/widgets/_image_widget_qt_toolbar.py
+++ /dev/null
@@ -1,127 +0,0 @@
-from functools import partial
-from typing import Dict
-
-from fastplotlib.utils.gui import QtWidgets, QtCore
-
-
-# TODO: There must be a better way to do this
-# TODO: Check if an interface exists between ipywidgets and Qt
-# TODO: Or we won't need it anyways once we have UI in pygfx
-class SliderInterface:
-    """
-    This exists so that ImageWidget has a common interface for Sliders.
-
-    This interface makes a QSlider behave somewhat like a ipywidget IntSlider, enough for ImageWidget to function.
-    """
-
-    def __init__(self, qslider):
-        self.qslider = qslider
-
-    @property
-    def value(self) -> int:
-        return self.qslider.value()
-
-    @value.setter
-    def value(self, value: int):
-        self.qslider.setValue(value)
-
-    @property
-    def max(self) -> int:
-        return self.qslider.maximum()
-
-    @max.setter
-    def max(self, value: int):
-        self.qslider.setMaximum(value)
-
-    @property
-    def min(self):
-        return self.qslider.minimum()
-
-    @min.setter
-    def min(self, value: int):
-        self.qslider.setMinimum(value)
-
-
-class QToolbarImageWidget(QtWidgets.QWidget):
-    """Toolbar for ImageWidget"""
-
-    def __init__(self, image_widget):
-        QtWidgets.QWidget.__init__(self)
-
-        # vertical layout
-        self.vlayout = QtWidgets.QVBoxLayout(self)
-
-        self.image_widget = image_widget
-
-        hlayout_buttons = QtWidgets.QHBoxLayout()
-
-        self.reset_vmin_vmax_button = QtWidgets.QPushButton(self)
-        self.reset_vmin_vmax_button.setText("auto-contrast")
-        self.reset_vmin_vmax_button.clicked.connect(self.image_widget.reset_vmin_vmax)
-        hlayout_buttons.addWidget(self.reset_vmin_vmax_button)
-
-        self.reset_vmin_vmax_hlut_button = QtWidgets.QPushButton(self)
-        self.reset_vmin_vmax_hlut_button.setText("reset histogram-lut")
-        self.reset_vmin_vmax_hlut_button.clicked.connect(
-            self.image_widget.reset_vmin_vmax_frame
-        )
-        hlayout_buttons.addWidget(self.reset_vmin_vmax_hlut_button)
-
-        self.vlayout.addLayout(hlayout_buttons)
-
-        self.sliders: Dict[str, SliderInterface] = dict()
-
-        # has time and/or z-volume
-        if self.image_widget.ndim > 2:
-            # create a slider, spinbox and dimension label for each dimension in the ImageWidget
-            for dim in self.image_widget.slider_dims:
-                hlayout = (
-                    QtWidgets.QHBoxLayout()
-                )  # horizontal stack for label, slider, spinbox
-
-                # max value for current dimension
-                max_val = self.image_widget._dims_max_bounds[dim] - 1
-
-                # make slider
-                slider = QtWidgets.QSlider(self)
-                slider.setOrientation(QtCore.Qt.Orientation.Horizontal)
-                slider.setMinimum(0)
-                slider.setMaximum(max_val)
-                slider.setValue(0)
-                slider.setSingleStep(1)
-                slider.setPageStep(10)
-
-                # make spinbox
-                spinbox = QtWidgets.QSpinBox(self)
-                spinbox.setMinimum(0)
-                spinbox.setMaximum(max_val)
-                spinbox.setValue(0)
-                spinbox.setSingleStep(1)
-
-                # link slider and spinbox
-                slider.valueChanged.connect(spinbox.setValue)
-                spinbox.valueChanged.connect(slider.setValue)
-
-                # connect slider to change the index within the dimension
-                slider.valueChanged.connect(
-                    partial(self.image_widget._slider_value_changed, dim)
-                )
-
-                # slider dimension label
-                slider_label = QtWidgets.QLabel(self)
-                slider_label.setText(dim)
-
-                # add the widgets to the horizontal layout
-                hlayout.addWidget(slider_label)
-                hlayout.addWidget(slider)
-                hlayout.addWidget(spinbox)
-
-                # add horizontal layout to the vertical layout
-                self.vlayout.addLayout(hlayout)
-
-                # add to sliders dict for easier access to users
-                self.sliders[dim] = SliderInterface(slider)
-
-        max_height = 35 + (35 * len(self.sliders.keys()))
-
-        self.setMaximumHeight(max_height)
diff --git a/fastplotlib/widgets/image_widget/__init__.py b/fastplotlib/widgets/image_widget/__init__.py
new file mode 100644
index 000000000..70a1aa8ae
--- /dev/null
+++ b/fastplotlib/widgets/image_widget/__init__.py
@@ -0,0 +1,13 @@
+from ...layouts import IMGUI
+
+if IMGUI:
+    from ._widget import ImageWidget
+
+else:
+
+    class ImageWidget:
+        def __init__(self, *args, **kwargs):
+            raise ModuleNotFoundError(
+                "ImageWidget requires `imgui-bundle` to be installed.\n"
+                "pip install imgui-bundle"
+            )
diff --git a/fastplotlib/widgets/image_widget/_sliders.py b/fastplotlib/widgets/image_widget/_sliders.py
new file mode 100644
index 000000000..c8ad67f39
--- /dev/null
+++ b/fastplotlib/widgets/image_widget/_sliders.py
@@ -0,0 +1,177 @@
+import os
+from time import perf_counter
+
+from imgui_bundle import imgui, icons_fontawesome_6 as fa
+
+from ...ui import EdgeWindow
+
+
+class ImageWidgetSliders(EdgeWindow):
+    def __init__(self, figure, size, location, title, image_widget):
+        super().__init__(figure=figure, size=size, location=location, title=title)
+        self._image_widget = image_widget
+
+        # whether or not a dimension is in play mode
+        self._playing: dict[str, bool] = {"t": False, "z": False}
+
+        # approximate framerate for playing
+        self._fps: dict[str, int] = {"t": 20, "z": 20}
+        # framerate converted to frame time
+        self._frame_time: dict[str, float] = {"t": 1 / 20, "z": 1 / 20}
+
+        # last timepoint that a frame was displayed from a given dimension
+        self._last_frame_time: dict[str, float] = {"t": 0, "z": 0}
+
+        self._loop = False
+
+        if "RTD_BUILD" in os.environ.keys():
+            if os.environ["RTD_BUILD"] == "1":
+                self._playing["t"] = True
+                self._loop = True
+
+    def set_index(self, dim: str, index: int):
+        """set the current_index of the ImageWidget"""
+
+        # make sure the max index for this dim is not exceeded
+        max_index = self._image_widget._dims_max_bounds[dim] - 1
+        if index > max_index:
+            if self._loop:
+                # loop back to index zero if looping is enabled
+                index = 0
+            else:
+                # if looping not enabled, stop playing this dimension
+                self._playing[dim] = False
+                return
+
+        # set current_index
+        self._image_widget.current_index = {dim: min(index, max_index)}
+
+    def update(self):
+        """called on every render cycle to update the GUI elements"""
+
+        # store the new index of the image widget ("t" and "z")
+        new_index = dict()
+
+        # flag if the index changed
+        flag_index_changed = False
+
+        # reset vmin-vmax using full orig data
+        imgui.push_font(self._fa_icons)
+        if imgui.button(label=fa.ICON_FA_CIRCLE_HALF_STROKE + fa.ICON_FA_FILM):
+            self._image_widget.reset_vmin_vmax()
+        imgui.pop_font()
+        if imgui.is_item_hovered(0):
+            imgui.set_tooltip("reset contrast limits using full movie/stack")
+
+        # reset vmin-vmax using currently displayed ImageGraphic data
+        imgui.push_font(self._fa_icons)
+        imgui.same_line()
+        if imgui.button(label=fa.ICON_FA_CIRCLE_HALF_STROKE):
+            self._image_widget.reset_vmin_vmax_frame()
+        imgui.pop_font()
+        if imgui.is_item_hovered(0):
+            imgui.set_tooltip("reset contrast limits using current frame")
+
+        # time now
+        now = perf_counter()
+
+        # buttons and slider UI elements for each dim
+        for dim in self._image_widget.slider_dims:
+            imgui.push_id(f"{self._id_counter}_{dim}")
+            imgui.push_font(self._fa_icons)
+
+            if self._playing[dim]:
+                # show pause button if playing
+                if imgui.button(label=fa.ICON_FA_PAUSE):
+                    # if pause button clicked, then set playing to false
+                    self._playing[dim] = False
+
+                # if in play mode and enough time has elapsed w.r.t. the desired framerate, increment the index
+                if now - self._last_frame_time[dim] >= self._frame_time[dim]:
+                    self.set_index(dim, self._image_widget.current_index[dim] + 1)
+                    self._last_frame_time[dim] = now
+
+            else:
+                # we are not playing, so display play button
+                if imgui.button(label=fa.ICON_FA_PLAY):
+                    # if play button is clicked, set last frame time to 0 so that index increments on next render
+                    self._last_frame_time[dim] = 0
+                    # set playing to True since play button was clicked
+                    self._playing[dim] = True
+
+            imgui.same_line()
+            # step back one frame button
+            if imgui.button(label=fa.ICON_FA_BACKWARD_STEP) and not self._playing[dim]:
+                self.set_index(dim, self._image_widget.current_index[dim] - 1)
+
+            imgui.same_line()
+            # step forward one frame button
+            if imgui.button(label=fa.ICON_FA_FORWARD_STEP) and not self._playing[dim]:
+                self.set_index(dim, self._image_widget.current_index[dim] + 1)
+
+            imgui.same_line()
+            # stop button
+            if imgui.button(label=fa.ICON_FA_STOP):
+                self._playing[dim] = False
+                self._last_frame_time[dim] = 0
+                self.set_index(dim, 0)
+
+            imgui.same_line()
+            # loop checkbox
+            _, self._loop = imgui.checkbox(label=fa.ICON_FA_ROTATE, v=self._loop)
+            imgui.pop_font()
+            if imgui.is_item_hovered(0):
+                imgui.set_tooltip("loop playback")
+
+            imgui.same_line()
+            imgui.text("framerate :")
+            imgui.same_line()
+            imgui.set_next_item_width(100)
+            # framerate int entry
+            fps_changed, value = imgui.input_int(
+                label="fps", v=self._fps[dim], step_fast=5
+            )
+            if imgui.is_item_hovered(0):
+                imgui.set_tooltip(
+                    "framerate is approximate and less reliable as it approaches your monitor refresh rate"
+                )
+            if fps_changed:
+                if value < 1:
+                    value = 1
+                if value > 50:
+                    value = 50
+                self._fps[dim] = value
+                self._frame_time[dim] = 1 / value
+
+            val = self._image_widget.current_index[dim]
+            vmax = self._image_widget._dims_max_bounds[dim] - 1
+
+            imgui.text(f"{dim}: ")
+            imgui.same_line()
+            # so that slider occupies full width
+            imgui.set_next_item_width(self.width * 0.85)
+
+            if "Jupyter" in self._image_widget.figure.canvas.__class__.__name__:
+                # until https://github.com/pygfx/wgpu-py/issues/530
+                flags = imgui.SliderFlags_.no_input
+            else:
+                # clamps to min, max if user inputs value outside these bounds
+                flags = imgui.SliderFlags_.always_clamp
+
+            # slider for this dimension
+            changed, index = imgui.slider_int(
+                f"{dim}", v=val, v_min=0, v_max=vmax, flags=flags
+            )
+
+            new_index[dim] = index
+
+            # if the slider value changed for this dimension
+            flag_index_changed |= changed
+
+            imgui.pop_id()
+
+        if flag_index_changed:
+            # if any slider dim changed set the new index of the image widget
+            self._image_widget.current_index = new_index
+
+        self.size = int(imgui.get_window_height())
diff --git a/fastplotlib/widgets/image.py b/fastplotlib/widgets/image_widget/_widget.py
similarity index 82%
rename from fastplotlib/widgets/image.py
rename to fastplotlib/widgets/image_widget/_widget.py
index df9b46b55..31a8176e5 100644
--- a/fastplotlib/widgets/image.py
+++ b/fastplotlib/widgets/image_widget/_widget.py
@@ -1,16 +1,21 @@
-from typing import Any, Literal, Callable
+from copy import deepcopy
+from typing import Callable
 from warnings import warn
 
 import numpy as np
 
-from ..layouts import Figure
-from ..graphics import ImageGraphic
-from ..utils import calculate_figure_shape
-from .histogram_lut import HistogramLUT
+from rendercanvas import BaseRenderCanvas
 
+from ...layouts import ImguiFigure as Figure
+from ...graphics import ImageGraphic
+from ...utils import calculate_figure_shape, quick_min_max
+from ...tools import HistogramLUTTool
+from ._sliders import ImageWidgetSliders
 
-# Number of dimensions that represent one image/one frame. For grayscale shape will be [x, y], i.e. 2 dims, for RGB(A)
-# shape will be [x, y, c] where c is of size 3 (RGB) or 4 (RGBA)
+
+# Number of dimensions that represent one image/one frame
+# For grayscale shape will be [n_rows, n_cols], i.e. 2 dims
+# For RGB(A) shape will be [n_rows, n_cols, c] where c is of size 3 (RGB) or 4 (RGBA)
 IMAGE_DIM_COUNTS = {"gray": 2, "rgb": 3}
 
 # Map boolean (indicating whether we use RGB or grayscale) to the string. Used to index RGB_DIM_MAP
@@ -105,13 +110,6 @@ def figure(self) -> Figure:
         """
         return self._figure
 
-    @property
-    def widget(self):
-        """
-        Output context, either an ipywidget or QWidget
-        """
-        return self._output
-
     @property
     def managed_graphics(self) -> list[ImageGraphic]:
         """List of ``ImageWidget`` managed graphics."""
@@ -126,7 +124,7 @@ def managed_graphics(self) -> list[ImageGraphic]:
     def cmap(self) -> list[str]:
         cmaps = list()
         for g in self.managed_graphics:
-            cmaps.append(g.cmap.name)
+            cmaps.append(g.cmap)
 
         return cmaps
 
@@ -166,15 +164,10 @@ def ndim(self) -> int:
     def n_scrollable_dims(self) -> list[int]:
         """
         list indicating the number of dimenensions that are scrollable for each data array
-        All other dimensions are frame/image data, i.e. [x, y] or [x, y, c]
+        All other dimensions are frame/image data, i.e. [rows, cols] or [rows, cols, rgb(a)]
         """
         return self._n_scrollable_dims
 
-    @property
-    def sliders(self) -> dict[str, Any]:
-        """the ipywidget IntSlider or QSlider instances used by the widget for indexing the desired dimensions"""
-        return self._image_widget_toolbar.sliders
-
     @property
     def slider_dims(self) -> list[str]:
         """the dimensions that the sliders index"""
@@ -197,6 +190,39 @@ def current_index(self) -> dict[str, int]:
         """
         return self._current_index
 
+    @current_index.setter
+    def current_index(self, index: dict[str, int]):
+        if not self._initialized:
+            return
+
+        if not set(index.keys()).issubset(set(self._current_index.keys())):
+            raise KeyError(
+                f"All dimension keys for setting `current_index` must be present in the widget sliders. "
+                f"The dimensions currently used for sliders are: {list(self.current_index.keys())}"
+            )
+
+        for k, val in index.items():
+            if not isinstance(val, int):
+                raise TypeError("Indices for all dimensions must be int")
+            if val < 0:
+                raise IndexError("negative indexing is not supported for ImageWidget")
+            if val > self._dims_max_bounds[k]:
+                raise IndexError(
+                    f"index {val} is out of bounds for dimension '{k}' "
+                    f"which has a max bound of: {self._dims_max_bounds[k]}"
+                )
+
+        self._current_index.update(index)
+
+        for i, (ig, data) in enumerate(zip(self.managed_graphics, self.data)):
+            frame = self._process_indices(data, self._current_index)
+            frame = self._process_frame_apply(frame, i)
+            ig.data = frame
+
+        # call any event handlers
+        for handler in self._current_index_changed_handlers:
+            handler(self.current_index)
+
     @property
     def n_img_dims(self) -> list[int]:
         """
@@ -247,42 +273,6 @@ def _get_n_scrollable_dims(self, curr_arr: np.ndarray, rgb: bool) -> list[int]:
 
         return n_scrollable_dims
 
-    @current_index.setter
-    def current_index(self, index: dict[str, int]):
-        # ignore if output context has not been created yet
-        if self.widget is None:
-            return
-
-        if not set(index.keys()).issubset(set(self._current_index.keys())):
-            raise KeyError(
-                f"All dimension keys for setting `current_index` must be present in the widget sliders. "
-                f"The dimensions currently used for sliders are: {list(self.current_index.keys())}"
-            )
-
-        for k, val in index.items():
-            if not isinstance(val, int):
-                raise TypeError("Indices for all dimensions must be int")
-            if val < 0:
-                raise IndexError("negative indexing is not supported for ImageWidget")
-            if val > self._dims_max_bounds[k]:
-                raise IndexError(
-                    f"index {val} is out of bounds for dimension '{k}' "
-                    f"which has a max bound of: {self._dims_max_bounds[k]}"
-                )
-
-        self._current_index.update(index)
-
-        # can make a callback_block decorator later
-        self.block_sliders = True
-        for k in index.keys():
-            self.sliders[k].value = index[k]
-        self.block_sliders = False
-
-        for i, (ig, data) in enumerate(zip(self.managed_graphics, self.data)):
-            frame = self._process_indices(data, self._current_index)
-            frame = self._process_frame_apply(frame, i)
-            ig.data = frame
-
     def __init__(
         self,
         data: np.ndarray | list[np.ndarray],
@@ -292,7 +282,7 @@ def __init__(
         names: list[str] = None,
         figure_kwargs: dict = None,
         histogram_widget: bool = True,
-        rgb: list[bool] = None,
+        rgb: bool | list[bool] = None,
         cmap: str = "plasma",
         graphic_kwargs: dict = None,
     ):
@@ -348,17 +338,19 @@ def __init__(
             make histogram LUT widget for each subplot
 
         rgb: bool | list[bool], default None
-            Includes a True or False for each ``array`` in the ImageWidget, indicating whether images are displayed as
-            grayscale or RGB(A).
+            bool or list of bool for each input data array in the ImageWidget, indicating whether the corresponding
+            data arrays are grayscale or RGB(A).
 
         graphic_kwargs: Any
             passed to each ImageGraphic in the ImageWidget figure subplots
 
         """
+        self._initialized = False
+
         self._names = None
 
-        # output context
-        self._output = None
+        if figure_kwargs is None:
+            figure_kwargs = dict()
 
         if _is_arraylike(data):
             data = [data]
@@ -368,13 +360,20 @@ def __init__(
             if all([_is_arraylike(d) for d in data]):
                 # Grid computations
                 if figure_shape is None:
-                    figure_shape = calculate_figure_shape(len(data))
+                    if "shape" in figure_kwargs:
+                        figure_shape = figure_kwargs["shape"]
+                    else:
+                        figure_shape = calculate_figure_shape(len(data))
 
-                # verify that user-specified figure shape is large enough for the number of image arrays passed
-                elif figure_shape[0] * figure_shape[1] < len(data):
+                # Regardless of how figure_shape is computed, below code
+                # verifies that figure shape is large enough for the number of image arrays passed
+                if figure_shape[0] * figure_shape[1] < len(data):
+                    original_shape = (figure_shape[0], figure_shape[1])
                     figure_shape = calculate_figure_shape(len(data))
                     warn(
-                        f"Invalid `figure_shape` passed, setting figure shape to: {figure_shape}"
+                        f"Original `figure_shape` was: {original_shape} "
+                        f" but data length is {len(data)}"
+                        f" Resetting figure shape to: {figure_shape}"
                     )
 
                 self._data: list[np.ndarray] = data
@@ -382,15 +381,15 @@ def __init__(
                 # Establish number of image dimensions and number of scrollable dimensions for each array
                 if rgb is None:
                     rgb = [False] * len(self.data)
-                if rgb is bool:
-                    rgb = [rgb]
+                if isinstance(rgb, bool):
+                    rgb = [rgb] * len(self.data)
                 if not isinstance(rgb, list):
                     raise TypeError(
-                        f"rgb_disp parameter must be a list, a {type(rgb)} was provided"
+                        f"`rgb` parameter must be a bool or list of bool, a <{type(rgb)}> was provided"
                     )
                 if not len(rgb) == len(self.data):
                     raise ValueError(
-                        f"rgb had length {len(rgb)} but there are {len(self.data)} data arrays; these must be equal"
+                        f"len(rgb) != len(data), {len(rgb)} != {len(self.data)}. These must be equal"
                     )
 
                 self._rgb = rgb
@@ -483,8 +482,6 @@ def __init__(
         self._window_funcs = None
         self.window_funcs = window_funcs
 
-        self._sliders: dict[str, Any] = dict()
-
         # get max bound for all data arrays for all slider dimensions and ensure compatibility across slider dims
         self._dims_max_bounds: dict[str, int] = {k: 0 for k in self.slider_dims}
         for i, _dim in enumerate(list(self._dims_max_bounds.keys())):
@@ -500,19 +497,24 @@ def __init__(
                         )
 
         figure_kwargs_default = {"controller_ids": "sync"}
-        if figure_kwargs is None:
-            figure_kwargs = dict()
 
         # update the default kwargs with any user-specified kwargs
         # user specified kwargs will overwrite the defaults
         figure_kwargs_default.update(figure_kwargs)
+        figure_kwargs_default["shape"] = figure_shape
 
         if graphic_kwargs is None:
             graphic_kwargs = dict()
 
         graphic_kwargs.update({"cmap": cmap})
 
-        self._figure: Figure = Figure(shape=figure_shape, **figure_kwargs_default)
+        vmin_specified, vmax_specified = None, None
+        if "vmin" in graphic_kwargs.keys():
+            vmin_specified = graphic_kwargs.pop("vmin")
+        if "vmax" in graphic_kwargs.keys():
+            vmax_specified = graphic_kwargs.pop("vmax")
+
+        self._figure: Figure = Figure(**figure_kwargs_default)
 
         self._histogram_widget = histogram_widget
         for data_ix, (d, subplot) in enumerate(zip(self.data, self.figure)):
@@ -523,21 +525,67 @@ def __init__(
 
             frame = self._process_indices(d, slice_indices=self._current_index)
             frame = self._process_frame_apply(frame, data_ix)
-            ig = ImageGraphic(frame, name="image_widget_managed", **graphic_kwargs)
+
+            if (vmin_specified is None) or (vmax_specified is None):
+                # if either vmin or vmax are not specified, calculate an estimate by subsampling
+                vmin_estimate, vmax_estimate = quick_min_max(d)
+
+                # decide vmin, vmax passed to ImageGraphic constructor based on whether it's user specified or now
+                if vmin_specified is None:
+                    # user hasn't specified vmin, use estimated value
+                    vmin = vmin_estimate
+                else:
+                    # user has provided a specific value, use that
+                    vmin = vmin_specified
+
+                if vmax_specified is None:
+                    vmax = vmax_estimate
+                else:
+                    vmax = vmax_specified
+            else:
+                # both vmin and vmax are specified
+                vmin, vmax = vmin_specified, vmax_specified
+
+            ig = ImageGraphic(
+                frame,
+                name="image_widget_managed",
+                vmin=vmin,
+                vmax=vmax,
+                **graphic_kwargs,
+            )
             subplot.add_graphic(ig)
             subplot.name = name
             subplot.set_title(name)
 
             if self._histogram_widget:
-                hlut = HistogramLUT(data=d, image_graphic=ig, name="histogram_lut")
+                hlut = HistogramLUTTool(data=d, image_graphic=ig, name="histogram_lut")
 
                 subplot.docks["right"].add_graphic(hlut)
                 subplot.docks["right"].size = 80
                 subplot.docks["right"].auto_scale(maintain_aspect=False)
                 subplot.docks["right"].controller.enabled = False
 
-        self.block_sliders = False
-        self._image_widget_toolbar = None
+        # hard code the expected height so that the first render looks right in tests, docs etc.
+        if len(self.slider_dims) == 0:
+            ui_size = 57
+        if len(self.slider_dims) == 1:
+            ui_size = 106
+        elif len(self.slider_dims) == 2:
+            ui_size = 155
+
+        self._image_widget_sliders = ImageWidgetSliders(
+            figure=self.figure,
+            size=ui_size,
+            location="bottom",
+            title="ImageWidget Controls",
+            image_widget=self,
+        )
+
+        self.figure.add_gui(self._image_widget_sliders)
+
+        self._initialized = True
+
+        self._current_index_changed_handlers = set()
 
     @property
     def frame_apply(self) -> dict | None:
@@ -740,21 +788,62 @@ def _process_frame_apply(self, array, data_ix) -> np.ndarray:
 
         return array
 
-    def _slider_value_changed(self, dimension: str, change: dict | int):
-        if self.block_sliders:
-            return
-        if isinstance(change, dict):
-            value = change["new"]
-        else:
-            value = change
-        self.current_index = {dimension: value}
+    def add_event_handler(self, handler: callable, event: str = "current_index"):
+        """
+        Register an event handler.
+
+        Currently the only event that ImageWidget supports is "current_index". This event is
+        emitted whenever the index of the ImageWidget changes.
+
+        Parameters
+        ----------
+        handler: callable
+            callback function, must take a dict as the only argument. This dict will be the `current_index`
+
+        event: str, "current_index"
+            the only supported event is "current_index"
+
+        Example
+        -------
+
+        .. code-block:: py
+
+            def my_handler(index):
+                print(index)
+                # example prints: {"t": 100} if data has only time dimension
+                # "z" index will be another key if present in the data, ex: {"t": 100, "z": 5}
+
+            # create an image widget
+            iw = ImageWidget(...)
+
+            # add event handler
+            iw.add_event_handler(my_handler)
+
+        """
+        if event != "current_index":
+            raise ValueError(
+                "`current_index` is the only event supported by `ImageWidget`"
+            )
+
+        self._current_index_changed_handlers.add(handler)
+
+    def remove_event_handler(self, handler: callable):
+        """Remove a registered event handler"""
+        self._current_index_changed_handlers.remove(handler)
+
+    def clear_event_handlers(self):
+        """Clear all registered event handlers"""
+        self._current_index_changed_handlers.clear()
 
     def reset_vmin_vmax(self):
         """
         Reset the vmin and vmax w.r.t. the full data
         """
-        for ig in self.managed_graphics:
-            ig.reset_vmin_vmax()
+        for data, subplot in zip(self.data, self.figure):
+            if "histogram_lut" not in subplot.docks["right"]:
+                continue
+            hlut = subplot.docks["right"]["histogram_lut"]
+            hlut.set_data(data, reset_vmin_vmax=True)
 
     def reset_vmin_vmax_frame(self):
         """
@@ -799,8 +888,6 @@ def set_data(
         if reset_indices:
             for key in self.current_index:
                 self.current_index[key] = 0
-            for key in self.sliders:
-                self.sliders[key].value = 0
 
         # set slider max according to new data
         max_lengths = dict()
@@ -871,50 +958,36 @@ def set_data(
                             f"New arrays have differing values along dim {scroll_dim}"
                         )
 
+                    self._dims_max_bounds[scroll_dim] = max_lengths[scroll_dim]
+
             # set histogram widget
             if self._histogram_widget:
                 subplot.docks["right"]["histogram_lut"].set_data(
                     new_array, reset_vmin_vmax=reset_vmin_vmax
                 )
 
-        # set slider maxes
-        # TODO: maybe make this stuff a property, like ndims, n_frames etc. and have it set the sliders
-        for key in self.sliders.keys():
-            self.sliders[key].max = max_lengths[key]
-            self._dims_max_bounds[key] = max_lengths[key]
-
         # force graphics to update
         self.current_index = self.current_index
 
-    def show(
-        self, toolbar: bool = True, sidecar: bool = False, sidecar_kwargs: dict = None
-    ):
+    def show(self, **kwargs):
         """
         Show the widget.
 
-        Returns
-        -------
-        OutputContext
-            ImageWidget just uses the Gridplot output context
-        """
-        if self.figure.canvas.__class__.__name__ == "JupyterWgpuCanvas":
-            from ._image_widget_ipywidget_toolbar import IpywidgetImageWidgetToolbar
-
-            self._image_widget_toolbar = IpywidgetImageWidgetToolbar(self)
+        Parameters
+        ----------
 
-        elif self.figure.canvas.__class__.__name__ == "QWgpuCanvas":
-            from ._image_widget_qt_toolbar import QToolbarImageWidget
+        kwargs: Any
+            passed to `Figure.show()`
 
-            self._image_widget_toolbar = QToolbarImageWidget(self)
+        Returns
+        -------
+        BaseRenderCanvas
+            In Qt or GLFW, the canvas window containing the Figure will be shown.
+            In jupyter, it will display the plot in the output cell or sidecar.
 
-        self._output = self.figure.show(
-            toolbar=toolbar,
-            sidecar=sidecar,
-            sidecar_kwargs=sidecar_kwargs,
-            add_widgets=[self._image_widget_toolbar],
-        )
+        """
 
-        return self._output
+        return self.figure.show(**kwargs)
 
     def close(self):
         """Close Widget"""
diff --git a/scripts/generate_add_graphic_methods.py b/scripts/generate_add_graphic_methods.py
index 3f45d9007..d69185521 100644
--- a/scripts/generate_add_graphic_methods.py
+++ b/scripts/generate_add_graphic_methods.py
@@ -29,8 +29,7 @@ def generate_add_graphics_methods():
     f.write("# This is an auto-generated file and should not be modified directly\n\n")
 
     f.write("from typing import *\n\n")
-    f.write("import numpy\n")
-    f.write("import weakref\n\n")
+    f.write("import numpy\n\n")
     f.write("from ..graphics import *\n")
     f.write("from ..graphics._base import Graphic\n\n")
 
@@ -49,8 +48,7 @@ def generate_add_graphics_methods():
     f.write("            self._check_graphic_name_exists(kwargs['name'])\n\n")
     f.write("        graphic = graphic_class(*args, **kwargs)\n")
     f.write("        self.add_graphic(graphic, center=center)\n\n")
-    f.write("        # only return a proxy to the real graphic\n")
-    f.write("        return weakref.proxy(graphic)\n\n")
+    f.write("        return graphic\n\n")
 
     for m in modules:
         class_name = m
diff --git a/setup.py b/setup.py
index 7229dcf25..14d0f0c5b 100644
--- a/setup.py
+++ b/setup.py
@@ -4,8 +4,9 @@
 
 install_requires = [
     "numpy>=1.23.0",
-    "wgpu<0.16.0",
-    "pygfx>=0.1.14,<=0.2.0",
+    "pygfx~=0.7.0",
+    "wgpu>=0.18.1",
+    "cmap>=0.1.3",
 ]
 
 
@@ -13,45 +14,32 @@
     "docs": [
         "sphinx",
         "sphinx-gallery",
-        "furo",
+        "pydata-sphinx-theme",
         "glfw",
-        "jupyter-rfb>=0.4.1",  # required so ImageWidget docs show up
         "ipywidgets>=8.0.0,<9",
         "sphinx-copybutton",
         "sphinx-design",
         "pandoc",
-        "jupyterlab",
-        "sidecar",
-        "imageio",
+        "imageio[ffmpeg]",
         "matplotlib",
-        "scikit-learn"
+        "scikit-learn",
     ],
     "notebook": [
         "jupyterlab",
-        "jupyter-rfb>=0.4.1",
+        "jupyter-rfb>=0.5.1",
         "ipywidgets>=8.0.0,<9",
         "sidecar",
     ],
     "tests": [
-        "pytest<8.0.0",
+        "pytest",
         "nbmake",
         "black",
         "scipy",
-        "imageio[pyav]",
-        "jupyterlab",
-        "jupyter-rfb>=0.4.1",
-        "ipywidgets>=8.0.0,<9",
-        "scikit-learn",
-        "tqdm",
-        "sidecar",
-    ],
-    "tests-desktop": [
-        "pytest<8.0.0",
-        "scipy",
-        "imageio",
+        "imageio[ffmpeg]",
         "scikit-learn",
         "tqdm",
     ],
+    "imgui": ["imgui-bundle"],
 }
 
 
diff --git a/tests/conftest.py b/tests/conftest.py
new file mode 100644
index 000000000..3f5414a71
--- /dev/null
+++ b/tests/conftest.py
@@ -0,0 +1,8 @@
+import pygfx
+
+
+MAX_TEXTURE_SIZE = 1024
+
+
+def pytest_sessionstart(session):
+    pygfx.renderers.wgpu.set_wgpu_limits(**{"max-texture-dimension-2d": MAX_TEXTURE_SIZE})
diff --git a/tests/test_colors_buffer_manager.py b/tests/test_colors_buffer_manager.py
index 252c6e5c3..8a6c5700f 100644
--- a/tests/test_colors_buffer_manager.py
+++ b/tests/test_colors_buffer_manager.py
@@ -8,7 +8,6 @@
 from fastplotlib.graphics._features import VertexColors, FeatureEvent
 from .utils import (
     generate_slice_indices,
-    assert_pending_uploads,
     generate_color_inputs,
     generate_positions_spiral_data,
 )
@@ -61,11 +60,8 @@ def test_int(test_graphic):
         colors = make_colors_buffer()
 
     # TODO: placeholder until I make a testing figure where we draw frames only on call
-    colors.buffer._gfx_pending_uploads.clear()
-
     colors[3] = "r"
     npt.assert_almost_equal(colors[3], [1.0, 0.0, 0.0, 1.0])
-    assert colors.buffer._gfx_pending_uploads[-1] == (3, 1)
 
     if test_graphic:
         # test event
@@ -206,9 +202,6 @@ def test_slice(color_input, slice_method: dict, test_graphic: bool):
     else:
         colors = make_colors_buffer()
 
-    # TODO: placeholder until I make a testing figure where we draw frames only on call
-    colors.buffer._gfx_pending_uploads.clear()
-
     s = slice_method["slice"]
     indices = slice_method["indices"]
     offset = slice_method["offset"]
@@ -238,9 +231,6 @@ def test_slice(color_input, slice_method: dict, test_graphic: bool):
         else:
             npt.assert_almost_equal(EVENT_RETURN_VALUE.info["user_value"], color_input)
 
-    # make sure correct offset and size marked for pending upload
-    assert_pending_uploads(colors.buffer, offset, size)
-
     # check that others are not touched
     others_truth = np.repeat([[1.0, 1.0, 1.0, 1.0]], repeats=len(others), axis=0)
     npt.assert_almost_equal(colors[others], others_truth)
diff --git a/tests/test_image_graphic.py b/tests/test_image_graphic.py
index 541129079..0ea9979a6 100644
--- a/tests/test_image_graphic.py
+++ b/tests/test_image_graphic.py
@@ -92,14 +92,14 @@ def test_gray():
 
     new_colors = make_colors(256, "viridis")
     for child in ig.world_object.children:
-        npt.assert_almost_equal(child.material.map.data, new_colors)
+        npt.assert_almost_equal(child.material.map.texture.data, new_colors)
 
     ig.cmap = "jet"
     assert ig.cmap == "jet"
 
     new_colors = make_colors(256, "jet")
     for child in ig.world_object.children:
-        npt.assert_almost_equal(child.material.map.data, new_colors)
+        npt.assert_almost_equal(child.material.map.texture.data, new_colors)
 
     assert ig.interpolation == "nearest"
     for child in ig.world_object.children:
@@ -113,12 +113,15 @@ def test_gray():
 
     assert ig.cmap_interpolation == "linear"
     for child in ig.world_object.children:
-        assert child.material.map_interpolation == "linear"
+        assert child.material.map.min_filter == "linear"
+        assert child.material.map.mag_filter == "linear"
 
     ig.cmap_interpolation = "nearest"
     assert ig.cmap_interpolation == "nearest"
     for child in ig.world_object.children:
-        assert child.material.map_interpolation == "nearest"
+        assert child.material.map.min_filter == "nearest"
+        assert child.material.map.mag_filter == "nearest"
+
     check_event(graphic=ig, feature="cmap_interpolation", value="nearest")
 
     npt.assert_almost_equal(ig.vmin, GRAY_IMAGE.min())
diff --git a/tests/test_positions_data_buffer_manager.py b/tests/test_positions_data_buffer_manager.py
index de9d179d8..77d049ab5 100644
--- a/tests/test_positions_data_buffer_manager.py
+++ b/tests/test_positions_data_buffer_manager.py
@@ -6,7 +6,6 @@
 from fastplotlib.graphics._features import VertexPositions, FeatureEvent
 from .utils import (
     generate_slice_indices,
-    assert_pending_uploads,
     generate_positions_spiral_data,
 )
 
@@ -134,9 +133,6 @@ def test_slice(test_graphic, slice_method: dict, test_axis: str):
     size = slice_method["size"]
     others = slice_method["others"]
 
-    # TODO: placeholder until I make a testing figure where we draw frames only on call
-    points.buffer._gfx_pending_uploads.clear()
-
     match test_axis:
         case "y":
             points[s, 1] = -data[s, 1]
@@ -203,6 +199,3 @@ def test_slice(test_graphic, slice_method: dict, test_axis: str):
                 else:
                     npt.assert_almost_equal(EVENT_RETURN_VALUE.info["key"], s)
                 npt.assert_almost_equal(EVENT_RETURN_VALUE.info["value"], -data[s])
-
-    # make sure correct offset and size marked for pending upload
-    assert_pending_uploads(points.buffer, offset, size)
diff --git a/tests/test_positions_graphics.py b/tests/test_positions_graphics.py
index d9c3a4871..b76ece2ca 100644
--- a/tests/test_positions_graphics.py
+++ b/tests/test_positions_graphics.py
@@ -21,7 +21,6 @@
     generate_color_inputs,
     MULTI_COLORS_TRUTH,
     generate_slice_indices,
-    assert_pending_uploads,
 )
 
 
@@ -444,3 +443,45 @@ def test_thickness(thickness):
 
     else:
         assert isinstance(graphic.world_object.material, pygfx.LineMaterial)
+
+
+@pytest.mark.parametrize("graphic_type", ["line", "scatter"])
+@pytest.mark.parametrize("size_space", ["screen", "world", "model"])
+def test_size_space(graphic_type, size_space):
+    fig = fpl.Figure()
+
+    kwargs = dict()
+    for kwarg in ["size_space"]:
+        if locals()[kwarg] is not None:
+            # add to dict of arguments that will be passed
+            kwargs[kwarg] = locals()[kwarg]
+
+    data = generate_positions_spiral_data("xy")
+
+    if size_space is None:
+        size_space = "screen"  # default space
+
+    # size_space is really an alias for pygfx.utils.enums.CoordSpace
+    if graphic_type == "line":
+        graphic = fig[0, 0].add_line(data=data, **kwargs)
+
+        # test getter
+        assert graphic.world_object.material.thickness_space == size_space
+        assert graphic.size_space == size_space
+
+        # test setter
+        graphic.size_space = "world"
+        assert graphic.size_space == "world"
+        assert graphic.world_object.material.thickness_space == "world"
+
+    elif graphic_type == "scatter":
+
+        # test getter
+        graphic = fig[0, 0].add_scatter(data=data, **kwargs)
+        assert graphic.world_object.material.size_space == size_space
+        assert graphic.size_space == size_space
+
+        # test setter
+        graphic.size_space = "world"
+        assert graphic.size_space == "world"
+        assert graphic.world_object.material.size_space == "world"
diff --git a/tests/test_sizes_buffer_manager.py b/tests/test_sizes_buffer_manager.py
index 0b34f9588..1d0a17f3d 100644
--- a/tests/test_sizes_buffer_manager.py
+++ b/tests/test_sizes_buffer_manager.py
@@ -3,7 +3,7 @@
 import pytest
 
 from fastplotlib.graphics._features import PointsSizesFeature
-from .utils import generate_slice_indices, assert_pending_uploads
+from .utils import generate_slice_indices
 
 
 def generate_data(input_type: str) -> np.ndarray | float:
@@ -52,9 +52,6 @@ def test_slice(slice_method: dict, user_input: str):
 
     sizes = PointsSizesFeature(data, n_datapoints=10)
 
-    # TODO: placeholder until I make a testing figure where we draw frames only on call
-    sizes.buffer._gfx_pending_uploads.clear()
-
     match user_input:
         case "float":
             sizes[s] = 20.0
@@ -71,6 +68,3 @@ def test_slice(slice_method: dict, user_input: str):
             npt.assert_almost_equal(sizes[indices], cosine[s])
             # make sure other sizes not modified
             npt.assert_almost_equal(sizes[others], data[others])
-
-    # make sure correct offset and size marked for pending upload
-    assert_pending_uploads(sizes.buffer, offset, size)
diff --git a/tests/test_texture_array.py b/tests/test_texture_array.py
index e1a6a1753..c85fc7652 100644
--- a/tests/test_texture_array.py
+++ b/tests/test_texture_array.py
@@ -5,10 +5,13 @@
 import pygfx
 
 import fastplotlib as fpl
-from fastplotlib.graphics._features import TextureArray, WGPU_MAX_TEXTURE_SIZE
+from fastplotlib.graphics._features import TextureArray
 from fastplotlib.graphics.image import _ImageTile
 
 
+MAX_TEXTURE_SIZE = 1024
+
+
 def make_data(n_rows: int, n_cols: int) -> np.ndarray:
     """
     Makes a 2D array where the amplitude of the sine wave
@@ -50,14 +53,14 @@ def check_texture_array(
         assert ta.buffer[chunk_index] is texture
         chunk_row, chunk_col = chunk_index
 
-        data_row_start_index = chunk_row * WGPU_MAX_TEXTURE_SIZE
-        data_col_start_index = chunk_col * WGPU_MAX_TEXTURE_SIZE
+        data_row_start_index = chunk_row * MAX_TEXTURE_SIZE
+        data_col_start_index = chunk_col * MAX_TEXTURE_SIZE
 
         data_row_stop_index = min(
-            data.shape[0], data_row_start_index + WGPU_MAX_TEXTURE_SIZE
+            data.shape[0], data_row_start_index + MAX_TEXTURE_SIZE
         )
         data_col_stop_index = min(
-            data.shape[1], data_col_start_index + WGPU_MAX_TEXTURE_SIZE
+            data.shape[1], data_col_start_index + MAX_TEXTURE_SIZE
         )
 
         row_slice = slice(data_row_start_index, data_row_stop_index)
@@ -96,7 +99,7 @@ def check_image_graphic(texture_array, graphic):
 @pytest.mark.parametrize("test_graphic", [False, True])
 def test_small_texture(test_graphic):
     # tests TextureArray with dims that requires only 1 texture
-    data = make_data(1_000, 1_000)
+    data = make_data(500, 500)
 
     if test_graphic:
         graphic = make_image_graphic(data)
@@ -118,13 +121,13 @@ def test_small_texture(test_graphic):
     if test_graphic:
         check_image_graphic(ta, graphic)
 
-    check_set_slice(data, ta, slice(50, 200), slice(600, 800))
+    check_set_slice(data, ta, slice(50, 200), slice(200, 400))
 
 
 @pytest.mark.parametrize("test_graphic", [False, True])
 def test_texture_at_limit(test_graphic):
-    # tests TextureArray with data that is 8192 x 8192
-    data = make_data(WGPU_MAX_TEXTURE_SIZE, WGPU_MAX_TEXTURE_SIZE)
+    # tests TextureArray with data that is 1024 x 1024
+    data = make_data(MAX_TEXTURE_SIZE, MAX_TEXTURE_SIZE)
 
     if test_graphic:
         graphic = make_image_graphic(data)
@@ -146,12 +149,12 @@ def test_texture_at_limit(test_graphic):
     if test_graphic:
         check_image_graphic(ta, graphic)
 
-    check_set_slice(data, ta, slice(5000, 8000), slice(2000, 3000))
+    check_set_slice(data, ta, slice(500, 800), slice(200, 300))
 
 
 @pytest.mark.parametrize("test_graphic", [False, True])
 def test_wide(test_graphic):
-    data = make_data(10_000, 20_000)
+    data = make_data(1_200, 2_200)
 
     if test_graphic:
         graphic = make_image_graphic(data)
@@ -166,19 +169,19 @@ def test_wide(test_graphic):
         buffer_shape=(2, 3),
         row_indices_size=2,
         col_indices_size=3,
-        row_indices_values=np.array([0, 8192]),
-        col_indices_values=np.array([0, 8192, 16384]),
+        row_indices_values=np.array([0, MAX_TEXTURE_SIZE]),
+        col_indices_values=np.array([0, MAX_TEXTURE_SIZE, 2 * MAX_TEXTURE_SIZE]),
     )
 
     if test_graphic:
         check_image_graphic(ta, graphic)
 
-    check_set_slice(data, ta, slice(6_000, 9_000), slice(12_000, 18_000))
+    check_set_slice(data, ta, slice(600, 1_100), slice(100, 2_100))
 
 
 @pytest.mark.parametrize("test_graphic", [False, True])
 def test_tall(test_graphic):
-    data = make_data(20_000, 10_000)
+    data = make_data(2_200, 1_200)
 
     if test_graphic:
         graphic = make_image_graphic(data)
@@ -193,19 +196,19 @@ def test_tall(test_graphic):
         buffer_shape=(3, 2),
         row_indices_size=3,
         col_indices_size=2,
-        row_indices_values=np.array([0, 8192, 16384]),
-        col_indices_values=np.array([0, 8192]),
+        row_indices_values=np.array([0, MAX_TEXTURE_SIZE, 2 * MAX_TEXTURE_SIZE]),
+        col_indices_values=np.array([0, MAX_TEXTURE_SIZE]),
     )
 
     if test_graphic:
         check_image_graphic(ta, graphic)
 
-    check_set_slice(data, ta, slice(12_000, 18_000), slice(6_000, 9_000))
+    check_set_slice(data, ta, slice(100, 2_100), slice(600, 1_100))
 
 
 @pytest.mark.parametrize("test_graphic", [False, True])
 def test_square(test_graphic):
-    data = make_data(20_000, 20_000)
+    data = make_data(2_200, 2_200)
 
     if test_graphic:
         graphic = make_image_graphic(data)
@@ -220,11 +223,11 @@ def test_square(test_graphic):
         buffer_shape=(3, 3),
         row_indices_size=3,
         col_indices_size=3,
-        row_indices_values=np.array([0, 8192, 16384]),
-        col_indices_values=np.array([0, 8192, 16384]),
+        row_indices_values=np.array([0, MAX_TEXTURE_SIZE, 2 * MAX_TEXTURE_SIZE]),
+        col_indices_values=np.array([0, MAX_TEXTURE_SIZE, 2 * MAX_TEXTURE_SIZE]),
     )
 
     if test_graphic:
         check_image_graphic(ta, graphic)
 
-    check_set_slice(data, ta, slice(12_000, 18_000), slice(16_000, 19_000))
+    check_set_slice(data, ta, slice(100, 2_100), slice(100, 2_100))
diff --git a/tests/utils.py b/tests/utils.py
index 6a25968e1..bc9a092c8 100644
--- a/tests/utils.py
+++ b/tests/utils.py
@@ -106,17 +106,6 @@ def generate_slice_indices(kind: int):
     }
 
 
-def assert_pending_uploads(buffer: pygfx.Buffer, offset: int, size: int):
-    upload_offset, upload_size = buffer._gfx_pending_uploads[-1]
-    # sometimes when slicing with step, it  will over-estimate offset
-    # but it overestimates to upload 1 extra point so it's fine
-    assert (upload_offset == offset) or (upload_offset == offset - 1)
-
-    # sometimes when slicing with step, it  will over-estimate size
-    # but it overestimates to upload 1 extra point so it's fine
-    assert (upload_size == size) or (upload_size == size + 1)
-
-
 def generate_positions_spiral_data(inputs: str) -> np.ndarray:
     """
     Generates a spiral/spring

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