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.

This is the open source repository for our SIGGRAPH 2018 paper "Megapixel Adaptive Optics: Towards Correcting Large-scale Distortions in Computational Cameras".

Tools for Optical Simulations

Python tools for JWST Wavefront Sensing Software

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

Phase diversity method for atmospheric wavefront sensing from a pair of images (in focus and out of focus).

Graphical user interface for wavefront measurement using spatial-carrier fringe-pattern analysis.

Orthogonal polynomials for optics analysis

SW for Nature Photonics publication on Wavefront shaping in complex media with a 350 kHz modulator via a 1D-to-2D transform

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

MAO wavefront sensor

Analyze and visualize wavefront shifts from Shack-Hartmann sensor images with arrow plots for clear, intuitive insight into optical distortions.

Implements a diffuser-based wavefront sensor

Utility functions for image-based phase retrieval

Python toolkit for synchronized SLM pupil segmentation and image acquisition.