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PtychoShelves , a versatile high‐level framework for high‐performance analysis of ptychographic data
Author(s) -
Wakonig Klaus,
Stadler Hans-Christian,
Odstrčil Michal,
Tsai Esther H. R.,
Diaz Ana,
Holler Mirko,
Usov Ivan,
Raabe Jörg,
Menzel Andreas,
Guizar-Sicairos Manuel
Publication year - 2020
Publication title -
journal of applied crystallography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.429
H-Index - 162
ISSN - 1600-5767
DOI - 10.1107/s1600576720001776
Subject(s) - computer science , wavefront , pipeline (software) , ptychography , software , computational science , modularity (biology) , optics , physics , diffraction , biology , genetics , programming language
Over the past decade, ptychography has been proven to be a robust tool for non‐destructive high‐resolution quantitative electron, X‐ray and optical microscopy. It allows for quantitative reconstruction of the specimen's transmissivity, as well as recovery of the illuminating wavefront. Additionally, various algorithms have been developed to account for systematic errors and improved convergence. With fast ptychographic microscopes and more advanced algorithms, both the complexity of the reconstruction task and the data volume increase significantly. PtychoShelves is a software package which combines high‐level modularity for easy and fast changes to the data‐processing pipeline, and high‐performance computing on CPUs and GPUs.