Ptychopy: GPU framework for ptychographic data analysis

TL;DR

Ptychopy is a GPU-accelerated software framework designed for real-time data analysis and reconstruction in X-ray ptychography, handling large datasets efficiently at synchrotron facilities.

Contribution

It introduces a high-performance, user-friendly software framework that integrates visualization, workflow control, and GPU-accelerated reconstruction algorithms for ptychography.

Findings

Achieves real-time processing of large datasets

Implements three GPU-accelerated reconstruction algorithms

Enhances efficiency and robustness of ptychographic data analysis

Abstract

X-ray ptychography imaging at synchrotron facilities like the Advanced Photon Source (APS) involves controlling instrument hardwares to collect a set of diffraction patterns from overlapping coherent illumination spots on extended samples, managing data storage, reconstructing ptychographic images from acquired diffraction patterns, and providing the visualization of results and feedback. In addition to the complicated workflow, ptychography instrument could produce up to several TB's of data per second that is needed to be processed in real time. This brings up the need to develop a high performance, robust and user friendly processing software package for ptychographic data analysis. In this paper we present a software framework which provides functionality of visualization, work flow control, and data reconstruction. To accelerate the computation and large datasets process, the data reconstruction part is implemented with three algorithms, ePIE, DM and LSQML using CUDA-C on GPU.