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.

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

Extended Nijboer-Zernike (ENZ) theory toolbox for Python

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

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.

library of commonly used optical propagation functions

Fast Inertial Algorithm for Phase Retrieval

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

Library of phase imaging functions, classes, and methods.

Utility functions for image-based phase retrieval

Interactive phase retrieval software, optimized for transparency rather than efficiency.

Phase retrieval is an applied problem in the field of frame theory that describes recovering the phase of a signal given linear intensity measurements. We give examples of the codes for algorithmic phase retrieval, specifically the Gerchberg-Saxton and PhaseLift methods.

A Special Nash Equilibrium

Solutions to the Transport-of-Intensity Equation (Speckle-Tracking, Paganin Algorithm etc.,)

AI-assisted rapid phase imaging for 4D-STEM

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

Accurate solution to the phase retrieval problem for near-Schwarz objects.

Difference map phase retrieval from diffracted image