Utility functions for image-based phase retrieval

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

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

Iterative Projection Algorithms for protein crystallography

Este repositório contém os notebooks e simulações realizadas no projeto de iniciação científica.

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.

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.

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

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

Resources for computational imaging

Code implementation of Photonics Research paper on Local Stokes parameters of a higly focused light beam

MATLAB ptychography engines from Sheffield University

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

Second order optimization with automatic differentiation

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

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

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.

AI-assisted rapid phase imaging for 4D-STEM

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