Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)

physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...

Python package for high-performance spatial light modulator (SLM) control and holography. Supports features from aberration-corrected 3D point clouds to automated Fourier-domain calibrations.

Extended Nijboer-Zernike (ENZ) theory toolbox for Python

A small library implementing phase retrieval algorithms for 2D images.

Resources for computational imaging

Software for frequency-resolved optical gating measurements of ultra-fast laser pulses.

CRIKit2 is a hyperspectral imaging toolkit formerly known as the coherent Raman imaging toolkit.

Implementation of extended ptychographical iterative engine (ePIE) with positional correction

A toolbox for optical simulation. The implementation of phase-retrieval algorithm is included.

PhaseRetrieval is a 'work-in-progress' Python-based framework for computational imaging in optics. This includes algorithms for image processing, phase retrieval and image registration.

Matlab simulation of Fourier ptychographic microscopy (FPM).

Code for "Physics-driven deep learning enables temporal compressive coherent diffraction imaging"

MATLAB ptychography engines from Sheffield University

[Nature Communications, 2025] In situ characterization of tightly focused fields

Pytorch implementation for Error Reduction algorithm and Hybrid input-output algorithm.

Pty-Chi is a Python library for ptychographic image reconstruction.

BCDI phase retrieval module written in Python 3.x. GPU implementation done using Tensorflow 2.1, with an older library available that uses Tensorflow 1.x.

AI-assisted rapid phase imaging for 4D-STEM

GPU-accelerated real-time reference-based dynamic phase retrieval G-LS3U