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.

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.

Resources for computational imaging

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).

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.

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

Data reconstruction and analysis tools for tomography data acquired at the P05 Imaging Beamline (IBL) and the P07 High-Energy Material Science (HEMS) beamline at PETRA III at DESY, both operated by Helmholtz-Zentrum Hereon.

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

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

Iterative Projection Algorithms for protein crystallography

reference implementation of contemporary "forward-reverse" or "iterative transform" phase retrieval algorithms

A Special Nash Equilibrium

MATLAB ptychography engines from Sheffield University