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Real-time interactive ptychography from electron event representation data

Published online by Cambridge University Press:  30 July 2021

Philipp Pelz ,
Peter Ercius ,
Colin Ophus ,
Ian Johnson  and
Mary Scott
Philipp Pelz
Affiliation:
UC Berkeley, Berkeley, California, United States
Peter Ercius
Affiliation:
Lawrence Berkeley National Laboratory, United States
Colin Ophus
Affiliation:
Lawrence Berkeley National Laboratory, California, United States
Ian Johnson
Affiliation:
Lawrence Berkeley National Laboratory, United States
Mary Scott
Affiliation:
UC Berkeley, Berkeley, California, United States

Abstract

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Type
Diffraction Imaging Across Disciplines
Information
Microscopy and Microanalysis , Volume 27 , Supplement S1 , August 2021 , pp. 188 - 189
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

stempy: Toolkit for processing 4D STEM image data on HPCGoogle Scholar
Guo, H. et al. Electron-event representation data enable efficient cryoEM file storage with full preservation of spatial and temporal resolution. IUCrJ 7, (2020).Google ScholarPubMed
Datta, A. et al. A data reduction and compression description for high throughput time-resolved electron microscopy. Nature Communications 12, 664 (2021).CrossRefGoogle ScholarPubMed
Rodenburg, J. M., McCallum, B. C. & Nellist, P. D. Experimental tests on double-resolution coherent imaging via STEM. Ultramicroscopy 48, 304–314 (1993).CrossRefGoogle Scholar
Work at the Molecular Foundry was supported by the Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. CO acknowledges additional support from the U.S. Department of Energy Early Career Research Program. M. S. and P. P. acknowledge support from the STROBE NSF Science and Technology Center on Real-Time Functional Imaging.Google Scholar