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.

Resources for computational imaging

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).

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

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.

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

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.

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

MATLAB ptychography engines from Sheffield University

Iterative Projection Algorithms for protein crystallography

Second order optimization with automatic differentiation