Code for "Physics-driven deep learning enables temporal compressive coherent diffraction imaging"
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Updated
Sep 18, 2022 - Jupyter Notebook
Code for "Physics-driven deep learning enables temporal compressive coherent diffraction imaging"
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.
A pair of deep convolutional enoder-decoder networks that take 2D diffraction data and output the corresponding structure and phase
Easy, fast, configurable version of phasor. Perfect for students who what to start with analyzing Coherent X-ray Diffraction Data.
PyWolf is a software to perform simulations of partially coherent light propagation using parallel computing devices through PyOpenCL
Barmherzig and Sun (2022) as a Stan model
Code to achieve the geometry-aware phase retrieval described in the paper "General approaches for shear-correcting coordinate transformations in Bragg coherent diffraction imaging: Part 2". Includes Matlab code for the geometry-aware 3D FFT and backprojection-based reconstruction.
Interactive phase retrieval software, optimized for transparency rather than efficiency.
For better understanding of far-field diffraction patterns obtained in coherent X-ray diffraction I wrote a simple stand-alone application for laptops with built-in web cams. It allows to see coherent effects from different systems, which can be simply exposed to the web camera being drawn on the paper. There is a number of similar applications …
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