Ptychopy: GPU framework for ptychographic data analysis

Ke Yue; Junjing Deng; Yi Jiang; Youssef Nashed; David Vine; Stefan Vogt

doi:10.1117/12.2594281

8 September 2021 Ptychopy: GPU framework for ptychographic data analysis

Ke Yue, Junjing Deng, Yi Jiang, Youssef Nashed, David Vine, Stefan Vogt

Proceedings Volume 11839, X-Ray Nanoimaging: Instruments and Methods V; 118390F (2021) https://doi.org/10.1117/12.2594281
Event: SPIE Optical Engineering + Applications, 2021, San Diego, California, United States

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,¹ DM² and LSQML³ using CUDA-C on GPU.

Conference Presentation

Citation Download Citation

Ke Yue, Junjing Deng, Yi Jiang, Youssef Nashed, David Vine, and Stefan Vogt "Ptychopy: GPU framework for ptychographic data analysis", Proc. SPIE 11839, X-Ray Nanoimaging: Instruments and Methods V, 118390F (8 September 2021); https://doi.org/10.1117/12.2594281

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