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Title: PtychoShelves , a versatile high-level framework for high-performance analysis of ptychographic data

Abstract

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.PtychoShelvesis 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.

Authors:
 [1];  [2];  [2]; ORCiD logo [2];  [2];  [2];  [2];  [2];  [2]; ORCiD logo [2]
  1. Paul Scherrer Inst. (PSI), Villigen (Switzerland); ETH and Univ. of Zürich (Switzerland)
  2. Paul Scherrer Inst. (PSI), Villigen (Switzerland)
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1607716
Report Number(s):
BNL-213759-2020-JAAM
Journal ID: ISSN 1600-5767; JACGAR
Grant/Contract Number:  
SC0012704
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Applied Crystallography (Online)
Additional Journal Information:
Journal Name: Journal of Applied Crystallography (Online); Journal Volume: 53; Journal Issue: 2; Journal ID: ISSN 1600-5767
Publisher:
International Union of Crystallography
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; ptychography; PtychoShelves; MATLAB; high-performance computing; phase retrieval; synchrotrons

Citation Formats

Wakonig, Klaus, Stadler, Hans-Christian, Odstrčil, Michal, Tsai, Esther H. R., Diaz, Ana, Holler, Mirko, Usov, Ivan, Raabe, Jörg, Menzel, Andreas, and Guizar-Sicairos, Manuel. PtychoShelves , a versatile high-level framework for high-performance analysis of ptychographic data. United States: N. p., 2020. Web. doi:10.1107/S1600576720001776.
Wakonig, Klaus, Stadler, Hans-Christian, Odstrčil, Michal, Tsai, Esther H. R., Diaz, Ana, Holler, Mirko, Usov, Ivan, Raabe, Jörg, Menzel, Andreas, & Guizar-Sicairos, Manuel. PtychoShelves , a versatile high-level framework for high-performance analysis of ptychographic data. United States. doi:https://doi.org/10.1107/S1600576720001776
Wakonig, Klaus, Stadler, Hans-Christian, Odstrčil, Michal, Tsai, Esther H. R., Diaz, Ana, Holler, Mirko, Usov, Ivan, Raabe, Jörg, Menzel, Andreas, and Guizar-Sicairos, Manuel. Fri . "PtychoShelves , a versatile high-level framework for high-performance analysis of ptychographic data". United States. doi:https://doi.org/10.1107/S1600576720001776. https://www.osti.gov/servlets/purl/1607716.
@article{osti_1607716,
title = {PtychoShelves , a versatile high-level framework for high-performance analysis of ptychographic data},
author = {Wakonig, Klaus and Stadler, Hans-Christian and Odstrčil, Michal and Tsai, Esther H. R. and Diaz, Ana and Holler, Mirko and Usov, Ivan and Raabe, Jörg and Menzel, Andreas and Guizar-Sicairos, Manuel},
abstractNote = {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.PtychoShelvesis 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.},
doi = {10.1107/S1600576720001776},
journal = {Journal of Applied Crystallography (Online)},
number = 2,
volume = 53,
place = {United States},
year = {2020},
month = {3}
}

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