diff --git a/docs/source/conf.py b/docs/source/conf.py
index 38133c901..4d94ec7e7 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -2,7 +2,24 @@
 #
 # For the full list of built-in configuration values, see the documentation:
 # https://www.sphinx-doc.org/en/master/usage/configuration.html
+
+import os
+
+# need to force offscreen rendering before importing fpl
+# otherwise fpl tries to select glfw canvas
+os.environ["WGPU_FORCE_OFFSCREEN"] = "1"
+
 import fastplotlib
+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
+
+ROOT_DIR = Path(__file__).parents[1].parents[0]  # repo root
+EXAMPLES_DIR = Path.joinpath(ROOT_DIR, "examples", "desktop")
+
+sys.path.insert(0, str(ROOT_DIR))
 
 # -- Project information -----------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
@@ -23,8 +40,40 @@
     "sphinx.ext.viewcode",
     "sphinx_copybutton",
     "sphinx_design",
+    "sphinx_gallery.gen_gallery"
 ]
 
+sphinx_gallery_conf = {
+    "gallery_dirs": "_gallery",
+    "backreferences_dir": "_gallery/backreferences",
+    "doc_module": ("fastplotlib",),
+    "image_scrapers": ("pygfx",),
+    "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"
+        ]
+    ),
+    "ignore_pattern": r'__init__\.py',
+    "nested_sections": False,
+    "thumbnail_size": (250, 250)
+}
+
+extra_conf = find_examples_for_gallery(EXAMPLES_DIR)
+sphinx_gallery_conf.update(extra_conf)
+
+# download imageio examples for the gallery
+iio.imread("imageio:clock.png")
+iio.imread("imageio:astronaut.png")
+iio.imread("imageio:coffee.png")
+iio.imread("imageio:hubble_deep_field.png")
+
 autosummary_generate = True
 
 templates_path = ["_templates"]
@@ -56,7 +105,7 @@
 }
 
 html_theme_options = {
-    "source_repository": "https://github.com/kushalkolar/fastplotlib",
+    "source_repository": "https://github.com/fastplotlib/fastplotlib",
     "source_branch": "main",
     "source_directory": "docs/",
 }
diff --git a/docs/source/index.rst b/docs/source/index.rst
index e99e38c52..6385c2aee 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -20,6 +20,12 @@ Welcome to fastplotlib's documentation!
    Utils <api/utils>
    GPU <api/gpu>
 
+.. toctree::
+   :caption: Gallery
+   :maxdepth:  1
+
+   Gallery <_gallery/index>
+
 Summary
 =======
 
diff --git a/examples/README.rst b/examples/README.rst
new file mode 100644
index 000000000..138ec748b
--- /dev/null
+++ b/examples/README.rst
@@ -0,0 +1,2 @@
+Examples that use fastplotlib
+=============================
diff --git a/examples/desktop/gridplot/__init__.py b/examples/desktop/README.rst
similarity index 100%
rename from examples/desktop/gridplot/__init__.py
rename to examples/desktop/README.rst
diff --git a/examples/desktop/gridplot/README.rst b/examples/desktop/gridplot/README.rst
new file mode 100644
index 000000000..486e708e7
--- /dev/null
+++ b/examples/desktop/gridplot/README.rst
@@ -0,0 +1,2 @@
+GridPlot Examples
+=================
diff --git a/examples/desktop/gridplot/gridplot.py b/examples/desktop/gridplot/gridplot.py
index 2669dd49b..044adae80 100644
--- a/examples/desktop/gridplot/gridplot.py
+++ b/examples/desktop/gridplot/gridplot.py
@@ -1,34 +1,37 @@
 """
 GridPlot Simple
-============
+===============
+
 Example showing simple 2x2 GridPlot with Standard images from imageio.
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import fastplotlib as fpl
 import imageio.v3 as iio
 
-
-fig = fpl.Figure(shape=(2, 2))
+figure = fpl.Figure(shape=(2, 2))
 
 im = iio.imread("imageio:clock.png")
 im2 = iio.imread("imageio:astronaut.png")
 im3 = iio.imread("imageio:coffee.png")
 im4 = iio.imread("imageio:hubble_deep_field.png")
 
-fig[0, 0].add_image(data=im)
-fig[0, 1].add_image(data=im2)
-fig[1, 0].add_image(data=im3)
-fig[1, 1].add_image(data=im4)
+figure[0, 0].add_image(data=im)
+figure[0, 1].add_image(data=im2)
+figure[1, 0].add_image(data=im3)
+figure[1, 1].add_image(data=im4)
 
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(800, 800)
+figure.canvas.set_logical_size(700, 560)
 
-for subplot in fig:
+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()
diff --git a/examples/desktop/gridplot/gridplot_non_square.py b/examples/desktop/gridplot/gridplot_non_square.py
index ea93096dc..c8a68cc85 100644
--- a/examples/desktop/gridplot/gridplot_non_square.py
+++ b/examples/desktop/gridplot/gridplot_non_square.py
@@ -1,32 +1,35 @@
 """
-GridPlot Simple
-============
+GridPlot Non-Square Example
+===========================
+
 Example showing simple 2x2 GridPlot with Standard images from imageio.
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import fastplotlib as fpl
 import imageio.v3 as iio
 
-
-fig = fpl.Figure(shape=(2, 2), controller_ids="sync")
+figure = fpl.Figure(shape=(2, 2), controller_ids="sync")
 
 im = iio.imread("imageio:clock.png")
 im2 = iio.imread("imageio:astronaut.png")
 im3 = iio.imread("imageio:coffee.png")
 
-fig[0, 0].add_image(data=im)
-fig[0, 1].add_image(data=im2)
-fig[1, 0].add_image(data=im3)
+figure[0, 0].add_image(data=im)
+figure[0, 1].add_image(data=im2)
+figure[1, 0].add_image(data=im3)
 
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(800, 800)
+figure.canvas.set_logical_size(700, 560)
 
-for subplot in fig:
+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()
diff --git a/examples/desktop/gridplot/multigraphic_gridplot.py b/examples/desktop/gridplot/multigraphic_gridplot.py
new file mode 100644
index 000000000..3d8dbe4a8
--- /dev/null
+++ b/examples/desktop/gridplot/multigraphic_gridplot.py
@@ -0,0 +1,116 @@
+"""
+Multi-Graphic GridPlot
+======================
+
+Example showing a Figure with multiple subplots and multiple graphic types.
+"""
+
+# test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+import fastplotlib as fpl
+import numpy as np
+import imageio.v3 as iio
+from itertools import product
+
+# define figure
+figure = fpl.Figure(shape=(2, 2), names=[["image-overlay", "circles"], ["line-stack", "scatter"]])
+
+img = iio.imread("imageio:coffee.png")
+
+# add image to subplot
+figure["image-overlay"].add_image(data=img)
+
+# generate overlay
+
+# empty array for overlay, shape is [nrows, ncols, RGBA]
+overlay = np.zeros(shape=(*img.shape[:2], 4), dtype=np.float32)
+
+# set the blue values of some pixels with an alpha > 1
+overlay[img[:, :, -1] > 200] = np.array([0.0, 0.0, 1.0, 0.6]).astype(np.float32)
+
+# add overlay to image
+figure["image-overlay"].add_image(data=overlay)
+
+# 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
+
+
+spatial_dims = (50, 50)
+
+# this makes 16 circles, so we can create 16 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_transform
+circles = list()
+for center in product(range(0, spatial_dims[0], 15), range(0, spatial_dims[1], 15)):
+    circles.append(make_circle(center, 5, n_points=75))
+
+# things like class labels, cluster labels, etc.
+cmap_transform = [
+    0, 1, 1, 2,
+    0, 0, 1, 1,
+    2, 2, 8, 3,
+    1, 9, 1, 5
+]
+
+# add an image to overlay the circles on
+img2 = np.ones((60, 60))
+
+figure["circles"].add_image(data=img2)
+
+# add the circles to the figure
+figure["circles"].add_line_collection(
+    circles,
+    cmap="tab10",
+    cmap_transform=cmap_transform,
+    thickness=3,
+    alpha=0.5,
+    name="circles-graphic"
+)
+
+# move the circles graphic so that it is centered over the image
+figure["circles"]["circles-graphic"].offset = np.array([7, 7, 2])
+
+# generate some sine data
+# linspace, create 100 evenly spaced x values from -10 to 10
+xs = np.linspace(-10, 10, 100)
+# sine wave
+ys = np.sin(xs)
+sine = np.dstack([xs, ys])[0]
+
+# make 10 identical waves
+sine_waves = 10 * [sine]
+
+# add the line stack to the figure
+figure["line-stack"].add_line_stack(data=sine_waves, cmap="Wistia", separation=1)
+
+figure["line-stack"].auto_scale(maintain_aspect=True)
+
+# generate some scatter data
+# create a gaussian cloud of 500 points
+n_points = 500
+
+mean = [0, 0]  # mean of the Gaussian distribution
+covariance = [[1, 0], [0, 1]]  # covariance matrix
+
+gaussian_cloud = np.random.multivariate_normal(mean, covariance, n_points)
+gaussian_cloud2 = np.random.multivariate_normal(mean, covariance, n_points)
+
+# add the scatter graphics to the figure
+figure["scatter"].add_scatter(data=gaussian_cloud, sizes=1, cmap="jet")
+figure["scatter"].add_scatter(data=gaussian_cloud2, colors="r", sizes=1)
+
+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()
+
diff --git a/examples/desktop/heatmap/README.rst b/examples/desktop/heatmap/README.rst
new file mode 100644
index 000000000..64294f46f
--- /dev/null
+++ b/examples/desktop/heatmap/README.rst
@@ -0,0 +1,2 @@
+Heatmap Examples
+================
diff --git a/examples/desktop/heatmap/__init__.py b/examples/desktop/heatmap/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/examples/desktop/heatmap/heatmap.py b/examples/desktop/heatmap/heatmap.py
index f3a1bf460..08b284749 100644
--- a/examples/desktop/heatmap/heatmap.py
+++ b/examples/desktop/heatmap/heatmap.py
@@ -5,12 +5,12 @@
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import fastplotlib as fpl
 import numpy as np
 
-
-fig = fpl.Figure()
+figure = fpl.Figure()
 
 xs = np.linspace(0, 1_000, 10_000, dtype=np.float32)
 
@@ -19,14 +19,16 @@
 data = np.vstack([sine * i for i in range(20_000)])
 
 # plot the image data
-img = fig[0, 0].add_image(data=data, name="heatmap")
+img = figure[0, 0].add_image(data=data, name="heatmap")
 
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(1500, 1500)
+figure.canvas.set_logical_size(700, 560)
 
-fig[0, 0].auto_scale()
+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()
diff --git a/examples/desktop/heatmap/heatmap_cmap.py b/examples/desktop/heatmap/heatmap_cmap.py
index 39e697c93..f51981bed 100644
--- a/examples/desktop/heatmap/heatmap_cmap.py
+++ b/examples/desktop/heatmap/heatmap_cmap.py
@@ -4,13 +4,14 @@
 Change the cmap of a heatmap
 """
 
+
 # test_example = false
+# sphinx_gallery_pygfx_docs = 'hidden'
 
 import fastplotlib as fpl
 import numpy as np
 
-
-fig = fpl.Figure()
+figure = fpl.Figure()
 
 xs = np.linspace(0, 1_000, 10_000, dtype=np.float32)
 
@@ -19,16 +20,18 @@
 data = np.vstack([sine * i for i in range(20_000)])
 
 # plot the image data
-img = fig[0, 0].add_image(data=data, name="heatmap")
+img = figure[0, 0].add_image(data=data, name="heatmap")
 
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(1500, 1500)
+figure.canvas.set_logical_size(700, 560)
 
-fig[0, 0].auto_scale()
+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
index 75ef3ce41..9334ea4d7 100644
--- a/examples/desktop/heatmap/heatmap_data.py
+++ b/examples/desktop/heatmap/heatmap_data.py
@@ -5,12 +5,12 @@
 """
 
 # test_example = false
+# sphinx_gallery_pygfx_docs = 'hidden'
 
 import fastplotlib as fpl
 import numpy as np
 
-
-fig = fpl.Figure()
+figure = fpl.Figure()
 
 xs = np.linspace(0, 1_000, 9_000, dtype=np.float32)
 
@@ -19,18 +19,20 @@
 data = np.vstack([sine * i for i in range(9_000)])
 
 # plot the image data
-img = fig[0, 0].add_image(data=data, name="heatmap")
+img = figure[0, 0].add_image(data=data, name="heatmap")
 
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(1500, 1500)
+figure.canvas.set_logical_size(700, 560)
 
-fig[0, 0].auto_scale()
+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
index f776b74e1..51e71695a 100644
--- a/examples/desktop/heatmap/heatmap_square.py
+++ b/examples/desktop/heatmap/heatmap_square.py
@@ -5,12 +5,13 @@
 """
 
 # test_example = false
+# sphinx_gallery_pygfx_docs = 'hidden'
 
 import fastplotlib as fpl
 import numpy as np
 
 
-fig = fpl.Figure()
+figure = fpl.Figure()
 
 xs = np.linspace(0, 1_000, 20_000, dtype=np.float32)
 
@@ -19,14 +20,14 @@
 data = np.vstack([sine * i for i in range(20_000)])
 
 # plot the image data
-img = fig[0, 0].add_image(data=data, name="heatmap")
+img = figure[0, 0].add_image(data=data, name="heatmap")
 
 del data  # data no longer needed after given to graphic
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(1500, 1500)
+figure.canvas.set_logical_size(1500, 1500)
 
-fig[0, 0].auto_scale()
+figure[0, 0].auto_scale()
 
 if __name__ == "__main__":
     print(__doc__)
diff --git a/examples/desktop/heatmap/heatmap_vmin_vmax.py b/examples/desktop/heatmap/heatmap_vmin_vmax.py
index 75b6b7b68..45c960fd8 100644
--- a/examples/desktop/heatmap/heatmap_vmin_vmax.py
+++ b/examples/desktop/heatmap/heatmap_vmin_vmax.py
@@ -5,12 +5,12 @@
 """
 
 # test_example = false
+# sphinx_gallery_pygfx_docs = 'hidden'
 
 import fastplotlib as fpl
 import numpy as np
 
-
-fig = fpl.Figure()
+figure = fpl.Figure()
 
 xs = np.linspace(0, 1_000, 10_000, dtype=np.float32)
 
@@ -19,17 +19,19 @@
 data = np.vstack([sine * i for i in range(20_000)])
 
 # plot the image data
-img = fig[0, 0].add_image(data=data, name="heatmap")
+img = figure[0, 0].add_image(data=data, name="heatmap")
 
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(1500, 1500)
+figure.canvas.set_logical_size(700, 560)
 
-fig[0, 0].auto_scale()
+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
index 251c25fa4..dccf531e2 100644
--- a/examples/desktop/heatmap/heatmap_wide.py
+++ b/examples/desktop/heatmap/heatmap_wide.py
@@ -5,12 +5,13 @@
 """
 
 # test_example = false
+# sphinx_gallery_pygfx_docs = 'hidden'
 
 import fastplotlib as fpl
 import numpy as np
 
 
-fig = fpl.Figure()
+figure = fpl.Figure()
 
 xs = np.linspace(0, 1_000, 20_000, dtype=np.float32)
 
@@ -19,13 +20,13 @@
 data = np.vstack([sine * i for i in range(10_000)])
 
 # plot the image data
-img = fig[0, 0].add_image(data=data, name="heatmap")
+img = figure[0, 0].add_image(data=data, name="heatmap")
 
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(1500, 1500)
+figure.canvas.set_logical_size(1500, 1500)
 
-fig[0, 0].auto_scale()
+figure[0, 0].auto_scale()
 
 if __name__ == "__main__":
     print(__doc__)
diff --git a/examples/desktop/image/README.rst b/examples/desktop/image/README.rst
new file mode 100644
index 000000000..028e85ec5
--- /dev/null
+++ b/examples/desktop/image/README.rst
@@ -0,0 +1,2 @@
+Image Examples
+==============
diff --git a/examples/desktop/image/__init__.py b/examples/desktop/image/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/examples/desktop/image/image_cmap.py b/examples/desktop/image/image_cmap.py
index bb8e9f9d8..c70af7346 100644
--- a/examples/desktop/image/image_cmap.py
+++ b/examples/desktop/image/image_cmap.py
@@ -1,29 +1,33 @@
 """
-Simple Plot
-============
+Image Colormap
+==============
+
 Example showing simple plot creation and subsequent cmap change with Standard image from imageio.
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import fastplotlib as fpl
 import imageio.v3 as iio
 
 im = iio.imread("imageio:camera.png")
 
-fig = fpl.Figure()
+figure = fpl.Figure()
 
 # plot the image data
-image_graphic = fig[0, 0].add_image(data=im, name="random-image")
+image_graphic = figure[0, 0].add_image(data=im, name="random-image")
 
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(800, 800)
+figure.canvas.set_logical_size(700, 560)
 
-fig[0, 0].auto_scale()
+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()
diff --git a/examples/desktop/image/image_rgb.py b/examples/desktop/image/image_rgb.py
index ce7e151d0..951142fd7 100644
--- a/examples/desktop/image/image_rgb.py
+++ b/examples/desktop/image/image_rgb.py
@@ -1,29 +1,31 @@
 """
-Simple Plot
-============
+RGB Image
+=========
+
 Example showing the simple plot creation with 512 x 512 2D RGB image.
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import fastplotlib as fpl
 import imageio.v3 as iio
 
-
 im = iio.imread("imageio:astronaut.png")
 
-fig = fpl.Figure()
+figure = fpl.Figure()
 
 # plot the image data
-image_graphic = fig[0, 0].add_image(data=im, name="iio astronaut")
-
-fig.show()
+image_graphic = figure[0, 0].add_image(data=im, name="iio astronaut")
 
-fig.canvas.set_logical_size(800, 800)
+figure.show()
 
-fig[0, 0].auto_scale()
+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()
diff --git a/examples/desktop/image/image_rgbvminvmax.py b/examples/desktop/image/image_rgbvminvmax.py
index 56114e1e3..25d3904e8 100644
--- a/examples/desktop/image/image_rgbvminvmax.py
+++ b/examples/desktop/image/image_rgbvminvmax.py
@@ -1,32 +1,34 @@
 """
-Simple Plot
-============
+RGB Image Vmin/Vmax
+===================
+
 Example showing the simple plot followed by changing the vmin/vmax with 512 x 512 2D RGB image.
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import fastplotlib as fpl
 import imageio.v3 as iio
 
-
 im = iio.imread("imageio:astronaut.png")
 
-fig = fpl.Figure()
+figure = fpl.Figure()
 
 # plot the image data
-image_graphic = fig[0, 0].add_image(data=im, name="iio astronaut")
+image_graphic = figure[0, 0].add_image(data=im, name="iio astronaut")
 
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(800, 800)
+figure.canvas.set_logical_size(700, 560)
 
-fig[0, 0].auto_scale()
+figure[0, 0].auto_scale()
 
 image_graphic.vmin = 0.5
 image_graphic.vmax = 0.75
 
-
+# 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/image/image_simple.py b/examples/desktop/image/image_simple.py
index a640974ed..dab5188a1 100644
--- a/examples/desktop/image/image_simple.py
+++ b/examples/desktop/image/image_simple.py
@@ -1,28 +1,31 @@
 """
-Simple Plot
+Simple Image
 ============
+
 Example showing the simple plot creation with Standard imageio image.
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import fastplotlib as fpl
 import imageio.v3 as iio
 
-
-fig = fpl.Figure()
+figure = fpl.Figure()
 
 data = iio.imread("imageio:camera.png")
 
 # plot the image data
-image_graphic = fig[0, 0].add_image(data=data, name="iio camera")
+image_graphic = figure[0, 0].add_image(data=data, name="iio camera")
 
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(800, 800)
+figure.canvas.set_logical_size(700, 560)
 
-fig[0, 0].auto_scale()
+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()
diff --git a/examples/desktop/image/image_vminvmax.py b/examples/desktop/image/image_vminvmax.py
index d24d1f18c..d9e49b18e 100644
--- a/examples/desktop/image/image_vminvmax.py
+++ b/examples/desktop/image/image_vminvmax.py
@@ -1,32 +1,34 @@
 """
-Simple Plot
-============
+Image Vmin/Vmax
+===============
+
 Example showing the simple plot creation followed by changing the vmin/vmax with Standard imageio image.
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import fastplotlib as fpl
 import imageio.v3 as iio
 
-
-fig = fpl.Figure()
+figure = fpl.Figure()
 
 data = iio.imread("imageio:astronaut.png")
 
 # plot the image data
-image_graphic = fig[0, 0].add_image(data=data, name="iio astronaut")
+image_graphic = figure[0, 0].add_image(data=data, name="iio astronaut")
 
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(800, 800)
+figure.canvas.set_logical_size(700, 560)
 
-fig[0, 0].auto_scale()
+figure[0, 0].auto_scale()
 
 image_graphic.vmin = 0.5
 image_graphic.vmax = 0.75
 
-
+# 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/image/image_widget.py b/examples/desktop/image/image_widget.py
index 80aafe0b1..de1d27de1 100644
--- a/examples/desktop/image/image_widget.py
+++ b/examples/desktop/image/image_widget.py
@@ -1,19 +1,22 @@
 """
 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/line/README.rst b/examples/desktop/line/README.rst
new file mode 100644
index 000000000..b9970c543
--- /dev/null
+++ b/examples/desktop/line/README.rst
@@ -0,0 +1,2 @@
+Line Examples
+=============
diff --git a/examples/desktop/line/__init__.py b/examples/desktop/line/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/examples/desktop/line/line.py b/examples/desktop/line/line.py
index 56575a810..cd661da1e 100644
--- a/examples/desktop/line/line.py
+++ b/examples/desktop/line/line.py
@@ -1,16 +1,17 @@
 """
-Line Plot
-============
+Simple Line Plot
+================
+
 Example showing cosine, sine, sinc lines.
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import fastplotlib as fpl
 import numpy as np
 
-
-fig = fpl.Figure()
+figure = fpl.Figure()
 
 xs = np.linspace(-10, 10, 100)
 # sine wave
@@ -26,22 +27,23 @@
 ys = np.sinc(xs) * 3 + 8
 sinc = np.dstack([xs, ys])[0]
 
-sine_graphic = fig[0, 0].add_line(data=sine, thickness=5, colors="magenta")
+sine_graphic = figure[0, 0].add_line(data=sine, thickness=5, colors="magenta")
 
 # you can also use colormaps for lines!
-cosine_graphic = fig[0, 0].add_line(data=cosine, thickness=12, cmap="autumn")
+cosine_graphic = figure[0, 0].add_line(data=cosine, thickness=12, cmap="autumn")
 
 # or a list of colors for each datapoint
 colors = ["r"] * 25 + ["purple"] * 25 + ["y"] * 25 + ["b"] * 25
-sinc_graphic = fig[0, 0].add_line(data=sinc, thickness=5, colors=colors)
-
-fig.show()
+sinc_graphic = figure[0, 0].add_line(data=sinc, thickness=5, colors=colors)
 
-fig.canvas.set_logical_size(800, 800)
+figure.show()
 
-fig[0, 0].auto_scale()
+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()
diff --git a/examples/desktop/line/line_cmap.py b/examples/desktop/line/line_cmap.py
index f18ceb201..5ffea6fef 100644
--- a/examples/desktop/line/line_cmap.py
+++ b/examples/desktop/line/line_cmap.py
@@ -1,16 +1,17 @@
 """
-Line Plot
-============
+Line Plot Colormap
+==================
+
 Example showing cosine, sine, sinc lines.
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import fastplotlib as fpl
 import numpy as np
 
-
-fig = fpl.Figure()
+figure = fpl.Figure()
 
 xs = np.linspace(-10, 10, 100)
 # sine wave
@@ -22,7 +23,7 @@
 cosine = np.dstack([xs, ys])[0]
 
 # cmap_transform from an array, so the colors on the sine line will be based on the sine y-values
-sine_graphic = fig[0, 0].add_line(
+sine_graphic = figure[0, 0].add_line(
     data=sine,
     thickness=10,
     cmap="plasma",
@@ -31,17 +32,19 @@
 
 # qualitative colormaps, useful for cluster labels or other types of categorical labels
 labels = [0] * 25 + [5] * 10 + [1] * 35 + [2] * 30
-cosine_graphic = fig[0, 0].add_line(
+cosine_graphic = figure[0, 0].add_line(
     data=cosine,
     thickness=10,
     cmap="tab10",
     cmap_transform=labels
 )
 
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(800, 800)
+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()
diff --git a/examples/desktop/line/line_colorslice.py b/examples/desktop/line/line_colorslice.py
index 28b877793..3d18d74b7 100644
--- a/examples/desktop/line/line_colorslice.py
+++ b/examples/desktop/line/line_colorslice.py
@@ -1,16 +1,17 @@
 """
-Line Plot
-=========
+Line Plot Color Slicing
+=======================
+
 Example showing color slicing with cosine, sine, sinc lines.
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import fastplotlib as fpl
 import numpy as np
 
-
-fig = fpl.Figure()
+figure = fpl.Figure()
 
 xs = np.linspace(-10, 10, 100)
 # sine wave
@@ -26,14 +27,14 @@
 ys = np.sinc(xs) * 3
 sinc = np.column_stack([xs, ys])
 
-sine_graphic = fig[0, 0].add_line(
+sine_graphic = figure[0, 0].add_line(
     data=sine,
     thickness=5,
     colors="magenta"
 )
 
 # you can also use colormaps for lines!
-cosine_graphic = fig[0, 0].add_line(
+cosine_graphic = figure[0, 0].add_line(
     data=cosine,
     thickness=12,
     cmap="autumn",
@@ -42,7 +43,7 @@
 
 # or a list of colors for each datapoint
 colors = ["r"] * 25 + ["purple"] * 25 + ["y"] * 25 + ["b"] * 25
-sinc_graphic = fig[0, 0].add_line(
+sinc_graphic = figure[0, 0].add_line(
     data=sinc,
     thickness=5,
     colors=colors,
@@ -51,14 +52,14 @@
 
 zeros = np.zeros(xs.size)
 zeros_data = np.column_stack([xs, zeros])
-zeros_graphic = fig[0, 0].add_line(
+zeros_graphic = figure[0, 0].add_line(
     data=zeros_data,
     thickness=8,
     colors="w",
     offset=(0, 10, 0)
 )
 
-fig.show()
+figure.show()
 
 # indexing of colors
 cosine_graphic.colors[:15] = "magenta"
@@ -81,11 +82,12 @@
 zeros_graphic.cmap[50:75] = "jet"
 zeros_graphic.cmap[75:] = "viridis"
 
-fig.canvas.set_logical_size(800, 800)
-
-fig[0, 0].auto_scale()
+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()
diff --git a/examples/desktop/line/line_dataslice.py b/examples/desktop/line/line_dataslice.py
index c2c6b9d36..eac765c68 100644
--- a/examples/desktop/line/line_dataslice.py
+++ b/examples/desktop/line/line_dataslice.py
@@ -1,16 +1,17 @@
 """
-Line Plot
-============
+Line Plot Data Slicing
+======================
+
 Example showing data slicing with cosine, sine, sinc lines.
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import fastplotlib as fpl
 import numpy as np
 
-
-fig = fpl.Figure()
+figure = fpl.Figure()
 
 xs = np.linspace(-10, 10, 100)
 # sine wave
@@ -26,16 +27,16 @@
 ys = np.sinc(xs) * 3 + 8
 sinc = np.dstack([xs, ys])[0]
 
-sine_graphic = fig[0, 0].add_line(data=sine, thickness=5, colors="magenta")
+sine_graphic = figure[0, 0].add_line(data=sine, thickness=5, colors="magenta")
 
 # you can also use colormaps for lines!
-cosine_graphic = fig[0, 0].add_line(data=cosine, thickness=12, cmap="autumn")
+cosine_graphic = figure[0, 0].add_line(data=cosine, thickness=12, cmap="autumn")
 
 # or a list of colors for each datapoint
 colors = ["r"] * 25 + ["purple"] * 25 + ["y"] * 25 + ["b"] * 25
-sinc_graphic = fig[0, 0].add_line(data=sinc, thickness=5, colors=colors)
+sinc_graphic = figure[0, 0].add_line(data=sinc, thickness=5, colors=colors)
 
-fig.show()
+figure.show()
 
 cosine_graphic.data[10:50:5, :2] = sine[10:50:5]
 cosine_graphic.data[90:, 1] = 7
@@ -45,11 +46,12 @@
 bool_key = [True, True, True, False, False] * 20
 sinc_graphic.data[bool_key, 1] = 7  # y vals to 1
 
-fig.canvas.set_logical_size(800, 800)
-
-fig[0, 0].auto_scale()
+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()
diff --git a/examples/desktop/line_collection/README.rst b/examples/desktop/line_collection/README.rst
new file mode 100644
index 000000000..3dbe05f7f
--- /dev/null
+++ b/examples/desktop/line_collection/README.rst
@@ -0,0 +1,2 @@
+LineCollection Examples
+=======================
diff --git a/examples/desktop/line_collection/__init__.py b/examples/desktop/line_collection/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/examples/desktop/line_collection/line_collection.py b/examples/desktop/line_collection/line_collection.py
index db99e32ed..44b765319 100644
--- a/examples/desktop/line_collection/line_collection.py
+++ b/examples/desktop/line_collection/line_collection.py
@@ -1,10 +1,12 @@
 """
-Line collection
-===============
+Line Collection Simple
+======================
+
 Example showing how to plot line collections
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 from itertools import product
 import numpy as np
@@ -27,14 +29,16 @@ def make_circle(center, radius: float, n_points: int = 75) -> np.ndarray:
 
 pos_xy = np.vstack(circles)
 
-fig = fpl.Figure()
+figure = fpl.Figure()
 
-fig[0, 0].add_line_collection(circles, cmap="jet", thickness=5)
+figure[0, 0].add_line_collection(circles, cmap="jet", thickness=5)
 
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(800, 800)
+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()
diff --git a/examples/desktop/line_collection/line_collection_cmap_values.py b/examples/desktop/line_collection/line_collection_cmap_values.py
index 5ffc032e9..e94a161ad 100644
--- a/examples/desktop/line_collection/line_collection_cmap_values.py
+++ b/examples/desktop/line_collection/line_collection_cmap_values.py
@@ -1,16 +1,17 @@
 """
 Line collections quantitative cmap
 ==================================
+
 Example showing a line collection with a quantitative cmap
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 from itertools import product
 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)
@@ -33,16 +34,18 @@ 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
 
-fig = fpl.Figure()
+figure = fpl.Figure()
 
-fig[0, 0].add_line_collection(
+figure[0, 0].add_line_collection(
     circles, cmap="bwr", cmap_transform=cmap_values, thickness=10
 )
 
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(800, 800)
+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()
diff --git a/examples/desktop/line_collection/line_collection_cmap_values_qualitative.py b/examples/desktop/line_collection/line_collection_cmap_values_qualitative.py
index f96fd3aac..5f9ea0000 100644
--- a/examples/desktop/line_collection/line_collection_cmap_values_qualitative.py
+++ b/examples/desktop/line_collection/line_collection_cmap_values_qualitative.py
@@ -1,16 +1,17 @@
 """
-Line collections qualitative cmaps
-==================================
+Line Collection Qualitative Colormap
+====================================
+
 Example showing a line collection with a qualitative cmap
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 from itertools import product
 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)
@@ -39,19 +40,21 @@ def make_circle(center, radius: float, n_points: int = 75) -> np.ndarray:
     1, 1, 1, 5
 ]
 
-fig = fpl.Figure()
+figure = fpl.Figure()
 
-fig[0, 0].add_line_collection(
+figure[0, 0].add_line_collection(
     circles,
     cmap="tab10",
     cmap_transform=cmap_values,
     thickness=10
 )
 
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(800, 800)
+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()
diff --git a/examples/desktop/line_collection/line_collection_colors.py b/examples/desktop/line_collection/line_collection_colors.py
index 3ee561d8f..bf3e818cd 100644
--- a/examples/desktop/line_collection/line_collection_colors.py
+++ b/examples/desktop/line_collection/line_collection_colors.py
@@ -1,10 +1,12 @@
 """
-Line collection colors
+Line Collection Colors
 ======================
+
 Example showing one way ot setting colors for individual lines in a collection
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 from itertools import product
 import numpy as np
@@ -31,14 +33,16 @@ 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
 
-fig = fpl.Figure()
+figure = fpl.Figure()
 
-fig[0, 0].add_line_collection(circles, colors=colors, thickness=10)
+figure[0, 0].add_line_collection(circles, colors=colors, thickness=10)
 
-fig.show()
+figure.show()
 
-fig.canvas.set_logical_size(800, 800)
+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()
diff --git a/examples/desktop/line_collection/line_collection_slicing.py b/examples/desktop/line_collection/line_collection_slicing.py
index 9eaebdd7e..a7525f7ba 100644
--- a/examples/desktop/line_collection/line_collection_slicing.py
+++ b/examples/desktop/line_collection/line_collection_slicing.py
@@ -1,10 +1,12 @@
 """
 Line collection slicing
 =======================
+
 Example showing how to slice a line collection
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import numpy as np
 import fastplotlib as fpl
@@ -18,9 +20,9 @@
 multi_data = np.stack([data] * 15)
 
 
-fig = fpl.Figure()
+figure = fpl.Figure()
 
-lines = fig[0, 0].add_line_stack(
+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,
@@ -59,9 +61,9 @@
 lines[::2].colors[::5] = "magenta"  # set every 5th point of every other line to magenta
 lines[3:6].colors[50:, -1] = 0.6  # set half the points alpha to 0.6
 
-fig.show(maintain_aspect=False)
+figure.show(maintain_aspect=False)
 
-fig.canvas.set_logical_size(900, 600)
+figure.canvas.set_logical_size(700, 580)
 
 if __name__ == "__main__":
     print(__doc__)
diff --git a/examples/desktop/line_collection/line_stack.py b/examples/desktop/line_collection/line_stack.py
index 676e6e5c2..e7f7125e1 100644
--- a/examples/desktop/line_collection/line_stack.py
+++ b/examples/desktop/line_collection/line_stack.py
@@ -1,10 +1,12 @@
 """
-Line stack
+Line Stack
 ==========
+
 Example showing how to plot a stack of lines
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import numpy as np
 import fastplotlib as fpl
@@ -17,19 +19,21 @@
 data = np.column_stack([xs, ys])
 multi_data = np.stack([data] * 10)
 
-fig = fpl.Figure()
+figure = fpl.Figure()
 
-line_stack = fig[0, 0].add_line_stack(
+line_stack = figure[0, 0].add_line_stack(
     multi_data,  # shape: (10, 100, 2), i.e. [n_lines, n_points, xy]
     cmap="jet",  # applied along n_lines
     thickness=5,
     separation=1,  # spacing between lines along the separation axis, default separation along "y" axis
 )
 
-fig.show(maintain_aspect=False)
+figure.show(maintain_aspect=False)
 
-fig.canvas.set_logical_size(900, 600)
+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()
diff --git a/examples/desktop/line_collection/line_stack_3d.py b/examples/desktop/line_collection/line_stack_3d.py
index 41914e2d2..314a97ff2 100644
--- a/examples/desktop/line_collection/line_stack_3d.py
+++ b/examples/desktop/line_collection/line_stack_3d.py
@@ -1,10 +1,12 @@
 """
 Line stack 3D
 =============
+
 Example showing a 3D stack of lines with animations
 """
 
 # test_example = false
+# sphinx_gallery_pygfx_docs = 'animate'
 
 import numpy as np
 import fastplotlib as fpl
@@ -19,9 +21,9 @@
 multi_data = np.stack([data] * 10)
 
 # create figure to plot lines and use an orbit controller in 3D
-fig = fpl.Figure(cameras="3d", controller_types="orbit")
+figure = fpl.Figure(cameras="3d", controller_types="orbit")
 
-line_stack = fig[0, 0].add_line_stack(
+line_stack = figure[0, 0].add_line_stack(
     multi_data,  # shape: (10, 100, 2), i.e. [n_lines, n_points, xy]
     cmap="jet",  # applied along n_lines
     thickness=3,
@@ -75,7 +77,7 @@ def animate_colors(subplot):
     colors_iteration += 1
 
 
-fig[0, 0].add_animations(animate_data, animate_colors)
+figure[0, 0].add_animations(animate_data, animate_colors)
 
 # just a pre-saved camera state
 camera_state = {
@@ -91,13 +93,14 @@ def animate_colors(subplot):
     "depth_range": None,
 }
 
-fig.show(maintain_aspect=False)
-
-fig[0, 0].camera.set_state(camera_state)
+figure.show(maintain_aspect=False)
 
-fig.canvas.set_logical_size(500, 500)
+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()
diff --git a/examples/desktop/misc/README.rst b/examples/desktop/misc/README.rst
new file mode 100644
index 000000000..cc51fd686
--- /dev/null
+++ b/examples/desktop/misc/README.rst
@@ -0,0 +1,2 @@
+Other Examples
+==============
diff --git a/examples/desktop/misc/cycle_animation.py b/examples/desktop/misc/cycle_animation.py
new file mode 100644
index 000000000..bb402a1f7
--- /dev/null
+++ b/examples/desktop/misc/cycle_animation.py
@@ -0,0 +1,62 @@
+"""
+Scatter Animation Colors
+========================
+
+Example showing animation with a scatter plot.
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'animate'
+
+import fastplotlib as fpl
+import numpy as np
+
+# create a random distribution of 10,000 xyz coordinates
+n_points = 10_000
+
+# dimensions always have to be [n_points, xyz]
+dims = (n_points, 3)
+
+clouds_offset = 15
+
+# create some random clouds
+normal = np.random.normal(size=dims, scale=5)
+# stack the data into a single array
+cloud = np.vstack(
+    [
+        normal - clouds_offset,
+        normal,
+        normal + clouds_offset,
+    ]
+)
+
+# color each of them separately
+colors = ["yellow"] * n_points + ["cyan"] * n_points + ["magenta"] * n_points
+
+# create plot
+figure = fpl.Figure()
+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)
+
+
+i = 0.05
+def cycle_colors(subplot):
+    global i
+    # cycle the red values
+    scatter_graphic.colors[n_points * 2:, 0] = np.abs(np.sin(i))
+    scatter_graphic.colors[n_points * 2:, 1] = np.abs(np.sin(i + (np.pi / 4)))
+    scatter_graphic.colors[n_points * 2:, 2] = np.abs(np.cos(i))
+    i += 0.05
+
+subplot_scatter.add_animations(cycle_colors)
+
+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
diff --git a/examples/desktop/misc/em_wave_animation.py b/examples/desktop/misc/em_wave_animation.py
new file mode 100644
index 000000000..50ab27ed6
--- /dev/null
+++ b/examples/desktop/misc/em_wave_animation.py
@@ -0,0 +1,105 @@
+"""
+Electromagnetic Wave Animation
+==============================
+
+Example showing animation of an electromagnetic wave.
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'animate'
+
+import fastplotlib as fpl
+import numpy as np
+
+figure = fpl.Figure(
+    cameras="3d",
+    controller_types="orbit",
+    size=(700, 400)
+)
+
+start, stop = 0, 4 * np.pi
+
+# let's define the x, y and z axes for each with direction of wave propogation along the z-axis
+# electric field in the xz plane travelling along
+zs = np.linspace(start, stop, 200)
+e_ys = np.zeros(200)
+e_xs = np.sin(zs)
+electric = np.column_stack([e_xs, e_ys, zs])
+
+# magnetic field in the yz plane
+zs = np.linspace(start, stop, 200)
+m_ys = np.sin(zs)
+m_xs = np.zeros(200)
+magnetic = np.column_stack([m_xs, m_ys, zs])
+
+# add the lines
+figure[0, 0].add_line(electric, colors="blue", thickness=2, name="e")
+figure[0, 0].add_line(magnetic, colors="red", thickness=2, name="m")
+
+# draw vector line at every 10th position
+electric_vectors = [np.array([[0, 0, z], [x, 0, z]]) for (x, z) in zip(e_xs[::10], zs[::10])]
+magnetic_vectors = [np.array([[0, 0, z], [0, y, z]]) for (y, z) in zip(m_ys[::10], zs[::10])]
+
+# add as a line collection
+figure[0, 0].add_line_collection(electric_vectors, colors="blue", thickness=1.5, name="e-vec")
+figure[0, 0].add_line_collection(magnetic_vectors, colors="red", thickness=1.5, name="m-vec")
+# note that the z_offset in `add_line_collection` is not data-related
+# 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]),
+    'rotation': np.array([0.09,  0.9 ,  0.2, -0.5]),
+    'scale': np.array([1., 1., 1.]),
+    'reference_up': np.array([0., 1., 0.]),
+    'fov': 50.0,
+    'width': 12,
+    'height': 12,
+    'zoom': 1.35,
+    'maintain_aspect': True,
+    'depth_range': None
+}
+
+
+figure[0, 0].camera.set_state(state)
+
+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):
+    global increment, start, stop, zs
+    new_zs = np.linspace(start, stop, 200)
+    new_data = np.sin(new_zs)
+
+    # just change the x-axis vals for the electric field
+    subplot["e"].data[:, 0] = new_data
+    # and y-axis vals for magnetic field
+    subplot["m"].data[:, 1] = new_data
+
+    # update the vector lines
+    for i, (value, z) in enumerate(zip(new_data[::10], 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]])
+
+    start += increment
+    stop += increment
+
+
+figure[0, 0].add_animations(tick)
+
+# 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
diff --git a/examples/desktop/misc/image_animation.py b/examples/desktop/misc/image_animation.py
new file mode 100644
index 000000000..df84f3c5a
--- /dev/null
+++ b/examples/desktop/misc/image_animation.py
@@ -0,0 +1,38 @@
+"""
+Simple Image Update
+===================
+
+Example showing updating a single plot with new random 512x512 data.
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'animate'
+
+import fastplotlib as fpl
+import numpy as np
+
+data = np.random.rand(512, 512)
+
+figure = fpl.Figure()
+
+# plot the image data
+image_graphic = figure[0, 0].add_image(data=data, name="random-image")
+
+
+# a function to update the image_graphic
+# a figure-level animation function will optionally take the figure as an argument
+def update_data(figure_instance):
+    new_data = np.random.rand(512, 512)
+    figure_instance[0, 0]["random-image"].data = new_data
+
+figure.add_animations(update_data)
+
+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()
diff --git a/examples/desktop/misc/line3d_animation.py b/examples/desktop/misc/line3d_animation.py
new file mode 100644
index 000000000..27d22c78a
--- /dev/null
+++ b/examples/desktop/misc/line3d_animation.py
@@ -0,0 +1,59 @@
+"""
+Simple 3D Line Animation
+========================
+
+Example showing animation with 3D lines.
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'animate 5s'
+
+import numpy as np
+import fastplotlib as fpl
+
+# create data in the shape of a spiral
+phi = np.linspace(0, 30, 200)
+
+xs = phi * np.cos(phi)
+ys = phi * np.sin(phi)
+zs = phi
+
+# make data 3d, with shape [<n_vertices>, 3]
+spiral = np.dstack([xs, ys, zs])[0]
+
+figure = fpl.Figure(cameras="3d")
+
+line_graphic = figure[0,0].add_line(data=spiral, thickness=3, cmap='jet')
+
+marker = figure[0,0].add_scatter(data=spiral[0], sizes=10, name="marker")
+
+marker_index = 0
+
+
+# a function to move the ball along the spiral
+def move_marker():
+    global marker_index
+
+    marker_index += 1
+
+    if marker_index == spiral.shape[0]:
+        marker_index = 0
+
+    for subplot in figure:
+        subplot["marker"].data = spiral[marker_index]
+
+
+# add `move_marker` to the animations
+figure.add_animations(move_marker)
+
+figure.show()
+
+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()
diff --git a/examples/desktop/misc/line_animation.py b/examples/desktop/misc/line_animation.py
new file mode 100644
index 000000000..50faad5c7
--- /dev/null
+++ b/examples/desktop/misc/line_animation.py
@@ -0,0 +1,53 @@
+"""
+Simple Line Animation
+=====================
+
+Example showing animation with lines.
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'animate'
+
+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()
+
+# 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()
+
+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
diff --git a/examples/desktop/misc/multiplot_animation.py b/examples/desktop/misc/multiplot_animation.py
new file mode 100644
index 000000000..a712ce9ef
--- /dev/null
+++ b/examples/desktop/misc/multiplot_animation.py
@@ -0,0 +1,49 @@
+"""
+Multi-Subplot Image Update
+==========================
+
+Example showing updating a single plot with new random 512x512 data.
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'animate'
+
+import fastplotlib as fpl
+import numpy as np
+
+# Figure of shape 2 x 3 with all controllers synced
+figure = fpl.Figure(shape=(2, 3), controller_ids="sync")
+
+# Make a random image graphic for each subplot
+for subplot in figure:
+    # create image data
+    data = np.random.rand(512, 512)
+    # add an image to the subplot
+    subplot.add_image(data, name="rand-img")
+
+figure[0,1]["rand-img"].cmap = "viridis"
+figure[1,0]["rand-img"].cmap = "Wistia"
+figure[0,2]["rand-img"].cmap = "gray"
+figure[1,1]["rand-img"].cmap = "spring"
+
+# Define a function to update the image graphics with new data
+# add_animations will pass the gridplot to the animation function
+def update_data(f):
+    for subplot in f:
+        new_data = np.random.rand(512, 512)
+        # index the image graphic by name and set the data
+        subplot["rand-img"].data = new_data
+
+# add the animation function
+figure.add_animations(update_data)
+
+# 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
diff --git a/examples/desktop/misc/scatter_animation.py b/examples/desktop/misc/scatter_animation.py
new file mode 100644
index 000000000..aa1495dd9
--- /dev/null
+++ b/examples/desktop/misc/scatter_animation.py
@@ -0,0 +1,59 @@
+"""
+Scatter Animation Data
+======================
+
+Example showing animation with a scatter plot.
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'animate'
+
+import fastplotlib as fpl
+import numpy as np
+
+# create a random distribution of 10,000 xyz coordinates
+n_points = 10_000
+
+# dimensions always have to be [n_points, xyz]
+dims = (n_points, 3)
+
+clouds_offset = 15
+
+# create some random clouds
+normal = np.random.normal(size=dims, scale=5)
+# stack the data into a single array
+cloud = np.vstack(
+    [
+        normal - clouds_offset,
+        normal,
+        normal + clouds_offset,
+    ]
+)
+
+# color each of them separately
+colors = ["yellow"] * n_points + ["cyan"] * n_points + ["magenta"] * n_points
+
+# create plot
+figure = fpl.Figure()
+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)
+
+
+def update_points(subplot):
+    # move every point by a small amount
+    deltas = np.random.normal(size=scatter_graphic.data.value.shape, loc=0, scale=0.15)
+    scatter_graphic.data = scatter_graphic.data.value + deltas
+
+
+subplot_scatter.add_animations(update_points)
+
+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
diff --git a/examples/desktop/misc/simple_event.py b/examples/desktop/misc/simple_event.py
new file mode 100644
index 000000000..b6d408862
--- /dev/null
+++ b/examples/desktop/misc/simple_event.py
@@ -0,0 +1,56 @@
+"""
+Simple Event
+============
+
+Example showing how to add a simple callback event.
+"""
+
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+import fastplotlib as fpl
+import imageio.v3 as iio
+
+data = iio.imread("imageio:camera.png")
+
+# Create a figure
+figure = fpl.Figure()
+
+# plot sine wave, use a single color
+image_graphic = figure[0,0].add_image(data=data)
+
+# show the plot
+figure.show()
+
+
+# define callback function to print the event data
+def callback_func(event_data):
+    print(event_data.info)
+
+
+# Will print event data when the color changes
+image_graphic.add_event_handler(callback_func, "cmap")
+
+image_graphic.cmap = "viridis"
+
+
+# adding a click event, we can also use decorators to add event handlers
+@image_graphic.add_event_handler("click")
+def click_event(event_data):
+    # get the click location in screen coordinates
+    xy = (event_data.x, event_data.y)
+
+    # map the screen coordinates to world coordinates
+    xy = figure[0,0].map_screen_to_world(xy)[:-1]
+
+    # print the click location
+    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()
diff --git a/examples/desktop/scatter/README.rst b/examples/desktop/scatter/README.rst
new file mode 100644
index 000000000..278170fb4
--- /dev/null
+++ b/examples/desktop/scatter/README.rst
@@ -0,0 +1,2 @@
+Scatter Examples
+================
diff --git a/examples/desktop/scatter/__init__.py b/examples/desktop/scatter/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/examples/desktop/scatter/scatter.py b/examples/desktop/scatter/scatter.py
index c47306722..05dd7a99b 100644
--- a/examples/desktop/scatter/scatter.py
+++ b/examples/desktop/scatter/scatter.py
@@ -1,32 +1,54 @@
 """
 Scatter Plot
 ============
+
 Example showing scatter plot.
 """
 
-# test_example = true
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import fastplotlib as fpl
 import numpy as np
-from pathlib import Path
 
-fig = fpl.Figure()
+figure = fpl.Figure()
+
+# create a random distribution of 10,000 xyz coordinates
+n_points = 5_000
+
+# dimensions always have to be [n_points, xyz]
+dims = (n_points, 3)
+
+clouds_offset = 15
 
-data_path = Path(__file__).parent.parent.joinpath("data", "iris.npy")
-data = np.load(data_path)
+# create some random clouds
+normal = np.random.normal(size=dims, scale=5)
+# stack the data into a single array
+cloud = np.vstack(
+    [
+        normal - clouds_offset,
+        normal,
+        normal + clouds_offset,
+    ]
+)
 
-n_points = 50
+# color each of them separately
 colors = ["yellow"] * n_points + ["cyan"] * n_points + ["magenta"] * n_points
 
-scatter_graphic = fig[0, 0].add_scatter(data=data[:, :-1], sizes=6, alpha=0.7, colors=colors)
+# create plot
+figure = fpl.Figure()
 
-fig.show()
+# 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)
 
-fig.canvas.set_logical_size(800, 800)
+figure.show()
 
-fig[0, 0].auto_scale()
+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()
diff --git a/examples/desktop/scatter/scatter_cmap.py b/examples/desktop/scatter/scatter_cmap.py
index 58c43c0ea..0adf72509 100644
--- a/examples/desktop/scatter/scatter_cmap.py
+++ b/examples/desktop/scatter/scatter_cmap.py
@@ -1,42 +1,53 @@
 """
-Scatter Plot
-============
+Scatter Colormap
+================
+
 Example showing cmap change for scatter plot.
 """
 
-# test_example = true
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import fastplotlib as fpl
 import numpy as np
-from pathlib import Path
-from sklearn.cluster import AgglomerativeClustering
 
+figure = fpl.Figure()
 
-fig = fpl.Figure()
+# create a random distribution of 10,000 xyz coordinates
+n_points = 5_000
 
-data_path = Path(__file__).parent.parent.joinpath("data", "iris.npy")
-data = np.load(data_path)
+# dimensions always have to be [n_points, xyz]
+dims = (n_points, 3)
 
-agg = AgglomerativeClustering(n_clusters=3)
-agg.fit_predict(data)
+clouds_offset = 15
 
-scatter_graphic = fig[0, 0].add_scatter(
-    data=data[:, :-1],  # use only xy data
-    sizes=15,
-    alpha=0.7,
-    cmap="Set1",
-    cmap_transform=agg.labels_  # use the labels as a transform to map colors from the colormap
+# create some random clouds
+normal = np.random.normal(size=dims, scale=5)
+# stack the data into a single array
+cloud = np.vstack(
+    [
+        normal - clouds_offset,
+        normal,
+        normal + clouds_offset,
+    ]
 )
 
-fig.show()
+# color each of them separately
+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)
 
-fig.canvas.set_logical_size(800, 800)
+figure.show()
 
-fig[0, 0].auto_scale()
+figure[0,0].graphics[0].cmap = "viridis"
 
-scatter_graphic.cmap = "tab10"
+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()
diff --git a/examples/desktop/scatter/scatter_cmap_iris.py b/examples/desktop/scatter/scatter_cmap_iris.py
new file mode 100644
index 000000000..700f5c136
--- /dev/null
+++ b/examples/desktop/scatter/scatter_cmap_iris.py
@@ -0,0 +1,42 @@
+"""
+Iris Scatter Colormap
+=====================
+
+Example showing cmap change for scatter plot.
+"""
+
+# test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+import fastplotlib as fpl
+from sklearn.cluster import AgglomerativeClustering
+from sklearn import datasets
+
+
+figure = fpl.Figure()
+
+data = datasets.load_iris()["data"]
+
+agg = AgglomerativeClustering(n_clusters=3)
+agg.fit_predict(data)
+
+scatter_graphic = figure[0, 0].add_scatter(
+    data=data[:, :-1],  # use only xy data
+    sizes=15,
+    alpha=0.7,
+    cmap="Set1",
+    cmap_transform=agg.labels_  # use the labels as a transform to map colors from the colormap
+)
+
+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()
diff --git a/examples/desktop/scatter/scatter_colorslice.py b/examples/desktop/scatter/scatter_colorslice.py
index 60433b5f5..3d3a3fa26 100644
--- a/examples/desktop/scatter/scatter_colorslice.py
+++ b/examples/desktop/scatter/scatter_colorslice.py
@@ -1,42 +1,60 @@
 """
-Scatter Plot
-============
+Scatter Plot Color Slicing
+==========================
+
 Example showing color slice for scatter plot.
 """
 
-# test_example = true
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import fastplotlib as fpl
 import numpy as np
-from pathlib import Path
 
+figure = fpl.Figure()
 
-fig = fpl.Figure()
+# create a random distribution of 10,000 xyz coordinates
+n_points = 5_000
 
-data_path = Path(__file__).parent.parent.joinpath("data", "iris.npy")
-data = np.load(data_path)
+# dimensions always have to be [n_points, xyz]
+dims = (n_points, 3)
 
-n_points = 50
-colors = ["yellow"] * n_points + ["cyan"] * n_points + ["magenta"] * n_points
+clouds_offset = 30
 
-scatter_graphic = fig[0, 0].add_scatter(
-    data=data[:, :-1],
-    sizes=6,
-    alpha=0.7,
-    colors=colors  # use colors from the list of strings
+# create some random clouds
+normal = np.random.normal(size=dims, scale=5)
+# stack the data into a single array
+cloud = np.vstack(
+    [
+        normal - clouds_offset,
+        normal,
+        normal + clouds_offset,
+    ]
 )
 
-fig.show()
+# color each of them separately
+colors = ["yellow"] * n_points + ["cyan"] * n_points + ["magenta"] * n_points
+
+# create plot
+figure = fpl.Figure()
 
-fig.canvas.set_logical_size(800, 800)
+# 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)
 
-fig[0, 0].auto_scale()
+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"
 
-
+# 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/scatter/scatter_colorslice_iris.py b/examples/desktop/scatter/scatter_colorslice_iris.py
new file mode 100644
index 000000000..a1e6d5318
--- /dev/null
+++ b/examples/desktop/scatter/scatter_colorslice_iris.py
@@ -0,0 +1,42 @@
+"""
+Iris Scatter Plot Color Slicing
+===============================
+
+Example showing color slice for scatter plot.
+"""
+
+# test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+import fastplotlib as fpl
+from sklearn import datasets
+
+
+figure = fpl.Figure()
+
+data = datasets.load_iris()["data"]
+
+n_points = 50
+colors = ["yellow"] * n_points + ["cyan"] * n_points + ["magenta"] * n_points
+
+scatter_graphic = figure[0, 0].add_scatter(
+    data=data[:, :-1],
+    sizes=6,
+    alpha=0.7,
+    colors=colors  # use colors from the list of strings
+)
+
+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"
+
+
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.run()
diff --git a/examples/desktop/scatter/scatter_dataslice.py b/examples/desktop/scatter/scatter_dataslice.py
index 989b7c21c..af2fffebd 100644
--- a/examples/desktop/scatter/scatter_dataslice.py
+++ b/examples/desktop/scatter/scatter_dataslice.py
@@ -1,40 +1,46 @@
 """
-Scatter Plot
-============
+Scatter Plot Data Slicing
+=========================
+
 Example showing data slice for scatter plot.
 """
 
-# test_example = true
+# test_example = false
+# sphinx_gallery_pygfx_docs = 'screenshot'
 
 import fastplotlib as fpl
 import numpy as np
-from pathlib import Path
 
 
-fig = fpl.Figure()
+figure = fpl.Figure()
 
-data_path = Path(__file__).parent.parent.joinpath("data", "iris.npy")
-data = np.load(data_path)
+# create a gaussian cloud of 5_000 points
+n_points = 1_000
 
-n_points = 50
-colors = ["yellow"] * n_points + ["cyan"] * n_points + ["magenta"] * n_points
+mean = [0, 0]  # mean of the Gaussian distribution
+covariance = [[1, 0], [0, 1]]  # covariance matrix
 
-scatter_graphic = fig[0, 0].add_scatter(data=data[:, :-1], sizes=6, alpha=0.7, colors=colors)
+gaussian_cloud = np.random.multivariate_normal(mean, covariance, n_points)
+gaussian_cloud2 = np.random.multivariate_normal(mean, covariance, n_points)
 
-fig.show()
+# create plot
+figure = fpl.Figure()
 
-fig.canvas.set_logical_size(800, 800)
+# 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)
 
-fig[0, 0].auto_scale()
+figure.show()
 
-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]])
+figure.canvas.set_logical_size(700, 560)
 
-scatter_graphic.data[10:15] = scatter_graphic.data[0:5] + np.array([1, 1, 1])
-scatter_graphic.data[50:100:2] = scatter_graphic.data[100:150:2] + np.array([1, 1, 0])
+figure[0, 0].auto_scale()
 
+scatter1.data[:500] = np.array([0 , 0, 0])
+scatter2.data[500:] = np.array([0 , 0, 0])
 
+# 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/scatter/scatter_dataslice_iris.py b/examples/desktop/scatter/scatter_dataslice_iris.py
new file mode 100644
index 000000000..0d47c6efd
--- /dev/null
+++ b/examples/desktop/scatter/scatter_dataslice_iris.py
@@ -0,0 +1,41 @@
+"""
+Iris Scatter Plot Data Slicing
+==============================
+
+Example showing data slice for scatter plot.
+"""
+
+# test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
+import fastplotlib as fpl
+import numpy as np
+from sklearn import datasets
+
+
+figure = fpl.Figure()
+
+data = datasets.load_iris()["data"]
+
+n_points = 50
+colors = ["yellow"] * n_points + ["cyan"] * n_points + ["magenta"] * n_points
+
+scatter_graphic = figure[0, 0].add_scatter(data=data[:, :-1], sizes=6, alpha=0.7, colors=colors)
+
+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]])
+
+scatter_graphic.data[10:15] = scatter_graphic.data[0:5] + np.array([1, 1, 1])
+scatter_graphic.data[50:100:2] = scatter_graphic.data[100:150:2] + np.array([1, 1, 0])
+
+
+if __name__ == "__main__":
+    print(__doc__)
+    fpl.run()
diff --git a/examples/desktop/scatter/scatter_iris.py b/examples/desktop/scatter/scatter_iris.py
new file mode 100644
index 000000000..c16a4b135
--- /dev/null
+++ b/examples/desktop/scatter/scatter_iris.py
@@ -0,0 +1,38 @@
+"""
+Iris Scatter Plot
+=================
+
+Example showing scatter plot using sklearn iris dataset.
+"""
+
+# test_example = true
+# sphinx_gallery_pygfx_docs = 'hidden'
+
+import fastplotlib as fpl
+import numpy as np
+from pathlib import Path
+import sys
+
+figure = fpl.Figure()
+
+current_file = Path(sys.argv[0]).resolve()
+
+data_path = Path(__file__).parent.parent.joinpath("data", "iris.npy")
+data = np.load(data_path)
+
+n_points = 50
+colors = ["yellow"] * n_points + ["cyan"] * n_points + ["magenta"] * n_points
+
+scatter_graphic = figure[0, 0].add_scatter(data=data[:, :-1], sizes=6, alpha=0.7, colors=colors)
+
+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
diff --git a/examples/desktop/scatter/scatter_size.py b/examples/desktop/scatter/scatter_size.py
index 41a97ad53..bd4e2db2b 100644
--- a/examples/desktop/scatter/scatter_size.py
+++ b/examples/desktop/scatter/scatter_size.py
@@ -1,10 +1,13 @@
 """
-Scatter Plot
-============
+Scatter Plot Size
+=================
+
 Example showing point size change for scatter plot.
 """
 
 # test_example = true
+# sphinx_gallery_pygfx_docs = 'screenshot'
+
 import numpy as np
 import fastplotlib as fpl
 
@@ -15,7 +18,7 @@
 names = [["scalar_size"], ["array_size"]]
 
 # Create the grid plot
-fig = fpl.Figure(shape=shape, names=names, size=(1000, 1000))
+figure = fpl.Figure(shape=shape, names=names, size=(1000, 1000))
 
 # get y_values using sin function
 angles = np.arange(0, 20 * np.pi + 0.001, np.pi / 20)
@@ -24,18 +27,22 @@
 
 data = np.column_stack([x_values, y_values])
 
-fig["scalar_size"].add_scatter(
+figure["scalar_size"].add_scatter(
     data=data, sizes=5, colors="blue"
 )  # add a set of scalar sizes
 
 non_scalar_sizes = np.abs((y_values / np.pi))  # ensure minimum size of 5
-fig["array_size"].add_scatter(data=data, sizes=non_scalar_sizes, colors="red")
+figure["array_size"].add_scatter(data=data, sizes=non_scalar_sizes, colors="red")
 
-for graph in fig:
+for graph in figure:
     graph.auto_scale(maintain_aspect=True)
 
-fig.show()
+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()
diff --git a/examples/desktop/screenshots/gridplot.png b/examples/desktop/screenshots/gridplot.png
index 9e81fe8c6..6567c57da 100644
--- a/examples/desktop/screenshots/gridplot.png
+++ b/examples/desktop/screenshots/gridplot.png
@@ -1,3 +1,3 @@
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-oid sha256:462a06e9c74dc9f0958aa265349dfac9c31d77a3ab3915f85596c85f2e7a6f3a
-size 266056
+oid sha256:6499a000911de783b69a7958a1bf2b0290b5a3117fe14ade792baca95557b2a7
+size 263883
diff --git a/examples/desktop/screenshots/gridplot_non_square.png b/examples/desktop/screenshots/gridplot_non_square.png
index b74be7065..847ed65cb 100644
--- a/examples/desktop/screenshots/gridplot_non_square.png
+++ b/examples/desktop/screenshots/gridplot_non_square.png
@@ -1,3 +1,3 @@
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-size 174978
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+size 173182
diff --git a/examples/desktop/screenshots/heatmap.png b/examples/desktop/screenshots/heatmap.png
index ec6cf9955..1adcc1e1d 100644
--- a/examples/desktop/screenshots/heatmap.png
+++ b/examples/desktop/screenshots/heatmap.png
@@ -1,3 +1,3 @@
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+size 40051
diff --git a/examples/desktop/screenshots/heatmap_cmap.png b/examples/desktop/screenshots/heatmap_cmap.png
index c495cf72c..cee81dd30 100644
--- a/examples/desktop/screenshots/heatmap_cmap.png
+++ b/examples/desktop/screenshots/heatmap_cmap.png
@@ -1,3 +1,3 @@
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+oid sha256:8863461569f5b89d1443e3051a5512f3987487fcb9e057215d2f030a180fa09f
+size 97996
diff --git a/examples/desktop/screenshots/heatmap_data.png b/examples/desktop/screenshots/heatmap_data.png
index 229d6c2cc..316a73753 100644
--- a/examples/desktop/screenshots/heatmap_data.png
+++ b/examples/desktop/screenshots/heatmap_data.png
@@ -1,3 +1,3 @@
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+size 19084
diff --git a/examples/desktop/screenshots/heatmap_square.png b/examples/desktop/screenshots/heatmap_square.png
deleted file mode 100644
index 00a01133e..000000000
--- a/examples/desktop/screenshots/heatmap_square.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
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diff --git a/examples/desktop/screenshots/heatmap_vmin_vmax.png b/examples/desktop/screenshots/heatmap_vmin_vmax.png
index b028291f7..357683d82 100644
--- a/examples/desktop/screenshots/heatmap_vmin_vmax.png
+++ b/examples/desktop/screenshots/heatmap_vmin_vmax.png
@@ -1,3 +1,3 @@
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diff --git a/examples/desktop/screenshots/heatmap_wide.png b/examples/desktop/screenshots/heatmap_wide.png
deleted file mode 100644
index 927b933d6..000000000
--- a/examples/desktop/screenshots/heatmap_wide.png
+++ /dev/null
@@ -1,3 +0,0 @@
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diff --git a/examples/desktop/screenshots/image_cmap.png b/examples/desktop/screenshots/image_cmap.png
index be16ba213..9ad74e927 100644
--- a/examples/desktop/screenshots/image_cmap.png
+++ b/examples/desktop/screenshots/image_cmap.png
@@ -1,3 +1,3 @@
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+size 187517
diff --git a/examples/desktop/screenshots/image_rgb.png b/examples/desktop/screenshots/image_rgb.png
index 8d391f07c..50dfe6761 100644
--- a/examples/desktop/screenshots/image_rgb.png
+++ b/examples/desktop/screenshots/image_rgb.png
@@ -1,3 +1,3 @@
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+size 216191
diff --git a/examples/desktop/screenshots/image_rgbvminvmax.png b/examples/desktop/screenshots/image_rgbvminvmax.png
index eabe85d28..73707177c 100644
--- a/examples/desktop/screenshots/image_rgbvminvmax.png
+++ b/examples/desktop/screenshots/image_rgbvminvmax.png
@@ -1,3 +1,3 @@
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diff --git a/examples/desktop/screenshots/image_simple.png b/examples/desktop/screenshots/image_simple.png
index 853eb2f01..3857baf9d 100644
--- a/examples/desktop/screenshots/image_simple.png
+++ b/examples/desktop/screenshots/image_simple.png
@@ -1,3 +1,3 @@
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index eabe85d28..73707177c 100644
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+++ b/examples/desktop/screenshots/image_vminvmax.png
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diff --git a/examples/desktop/screenshots/line.png b/examples/desktop/screenshots/line.png
index 74cbae39a..c21a522e7 100644
--- a/examples/desktop/screenshots/line.png
+++ b/examples/desktop/screenshots/line.png
@@ -1,3 +1,3 @@
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diff --git a/examples/desktop/screenshots/line_cmap.png b/examples/desktop/screenshots/line_cmap.png
index 9cd93f05d..5e092c844 100644
--- a/examples/desktop/screenshots/line_cmap.png
+++ b/examples/desktop/screenshots/line_cmap.png
@@ -1,3 +1,3 @@
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diff --git a/examples/desktop/screenshots/line_collection.png b/examples/desktop/screenshots/line_collection.png
index bcfe85309..cc6bdcd72 100644
--- a/examples/desktop/screenshots/line_collection.png
+++ b/examples/desktop/screenshots/line_collection.png
@@ -1,3 +1,3 @@
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diff --git a/examples/desktop/screenshots/line_collection_cmap_values.png b/examples/desktop/screenshots/line_collection_cmap_values.png
index b7fcdbcae..5dbe1cfda 100644
--- a/examples/desktop/screenshots/line_collection_cmap_values.png
+++ b/examples/desktop/screenshots/line_collection_cmap_values.png
@@ -1,3 +1,3 @@
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diff --git a/examples/desktop/screenshots/line_collection_cmap_values_qualitative.png b/examples/desktop/screenshots/line_collection_cmap_values_qualitative.png
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+oid sha256:f62dc16cd1ea212cf29974a64e6ad2dd3d7ae10d7b3eef573c25316bbe89b097
+size 38740
diff --git a/examples/notebooks/screenshots/nb-lines-underlay.png b/examples/notebooks/screenshots/nb-lines-underlay.png
index e7f6aeb0c..f9650e253 100644
--- a/examples/notebooks/screenshots/nb-lines-underlay.png
+++ b/examples/notebooks/screenshots/nb-lines-underlay.png
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8ed174c362c7e7c491eba02b32102f59423af41537577c694fdcd54d69c065b3
-size 50422
+oid sha256:ec7881cc0084b0ea2182f8d4f6f23388a4d48b88dbbf9c06b9dc2fa8125989b7
+size 49553
diff --git a/examples/notebooks/screenshots/nb-lines.png b/examples/notebooks/screenshots/nb-lines.png
index 603f4a8fc..7df6ea14f 100644
--- a/examples/notebooks/screenshots/nb-lines.png
+++ b/examples/notebooks/screenshots/nb-lines.png
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:eeef2c47e7dde62038307fa7929a306801bf8b708fbcf1062ed9c751727bfb2b
-size 24300
+oid sha256:b925337438aa24f0179a8b5c1688e154679fa002402a16746b6bb3cd6684af1e
+size 24246
diff --git a/examples/tests/test_examples.py b/examples/tests/test_examples.py
index b8369e368..c08df9005 100644
--- a/examples/tests/test_examples.py
+++ b/examples/tests/test_examples.py
@@ -69,7 +69,7 @@ def test_example_screenshots(module, force_offscreen):
     example = importlib.import_module(module_name)
 
     # render a frame
-    img = np.asarray(example.fig.renderer.target.draw())
+    img = np.asarray(example.figure.renderer.target.draw())
 
     # check if _something_ was rendered
     assert img is not None and img.size > 0
diff --git a/examples/tests/testutils.py b/examples/tests/testutils.py
index f62ae7602..22747ce08 100644
--- a/examples/tests/testutils.py
+++ b/examples/tests/testutils.py
@@ -22,7 +22,8 @@
     "scatter/*.py",
     "line/*.py",
     "line_collection/*.py",
-    "gridplot/*.py"
+    "gridplot/*.py",
+    "misc/*.py"
 ]
 
 
diff --git a/fastplotlib/layouts/_figure.py b/fastplotlib/layouts/_figure.py
index 2c157db8f..17bb28095 100644
--- a/fastplotlib/layouts/_figure.py
+++ b/fastplotlib/layouts/_figure.py
@@ -475,11 +475,6 @@ def show(
                     _maintain_aspect = maintain_aspect
                 subplot.auto_scale(maintain_aspect=_maintain_aspect, zoom=0.95)
 
-        # used for generating images in docs using nbsphinx
-        if "NB_SNAPSHOT" in os.environ.keys():
-            if os.environ["NB_SNAPSHOT"] == "1":
-                return self.canvas.snapshot()
-
         # return the appropriate OutputContext based on the current canvas
         if self.canvas.__class__.__name__ == "JupyterWgpuCanvas":
             from .output.jupyter_output import (
diff --git a/setup.py b/setup.py
index 3ba77201d..503af8f99 100644
--- a/setup.py
+++ b/setup.py
@@ -12,6 +12,7 @@
 extras_require = {
     "docs": [
         "sphinx",
+        "sphinx-gallery",
         "furo",
         "glfw",
         "jupyter-rfb>=0.4.1",  # required so ImageWidget docs show up
@@ -21,6 +22,9 @@
         "pandoc",
         "jupyterlab",
         "sidecar",
+        "imageio",
+        "matplotlib",
+        "scikit-learn"
     ],
     "notebook": [
         "jupyterlab",

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