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Phase-Contrast-Based Structure Retrieval Methods in Atomic Resolution Scanning Transmission Electron Microscopy – When They Hold and When They Don't

Published online by Cambridge University Press:  30 July 2020

Scott Findlay
Affiliation:
Monash University, Clayton, Victoria, Australia
Leslie Allen
Affiliation:
The University of Melbourne, Parkville, Victoria, Australia
Hamish Brown
Affiliation:
Lawrence Berkeley National Laboratory, Berkeley, California, United States
Zhen Chen
Affiliation:
Cornell University, Ithaca, New York, United States
Jim Ciston
Affiliation:
Lawrence Berkeley National Laboratory, Berkeley, California, United States
Yuichi Ikuhara
Affiliation:
University of Tokyo, Bunkyo-ku, Tokyo, Japan
Ryo Ishikawa
Affiliation:
University of Tokyo, Bunkyo-ku, Tokyo, Japan
Colin Ophus
Affiliation:
Lawrence Berkeley National Laboratory, Berkeley, California, United States
Gabriel Sánchez-Santolino
Affiliation:
Universidad Complutense de Madrid, Madrid, Madrid, Spain
Takehito Seki
Affiliation:
University of Tokyo, Bunkyo-ku, Tokyo, Japan
Naoya Shibata
Affiliation:
University of Tokyo, Bunkyo-ku, Tokyo, Japan
Matthew Weyland
Affiliation:
Monash University, Clayton, Victoria, Australia

Abstract

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Type
Advances in Modeling, Simulation, and Artificial Intelligence in Microscopy and Microanalysis for Physical and Biological Systems
Copyright
Copyright © Microscopy Society of America 2020

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This research was supported under the Australian Research Council Discovery Projects funding scheme (Projects No. DP160102338 and FT190100619). 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.Google Scholar