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Implementing Sparse Sub-Sampling Methods for Low-Dose/High Speed STEM

Published online by Cambridge University Press:  01 August 2018

Nigel D. Browning
Affiliation:
Physical Sciences & Engineering, University of Liverpool, Liverpool, L69 3GQ, UK
Andrew Stevens
Affiliation:
OptimalSensing, Southlake, Texas 76092, USA Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, USA
Libor Kovarik
Affiliation:
Environmental Molecular Sciences Laboratory, PNNL, Richland, WA 99352, USA
Andrey Liyu
Affiliation:
Environmental Molecular Sciences Laboratory, PNNL, Richland, WA 99352, USA
B. Layla Mehdi
Affiliation:
Physical Sciences & Engineering, University of Liverpool, Liverpool, L69 3GQ, UK
Hao Yang
Affiliation:
Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
Michael E. Gehm
Affiliation:
Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, USA
Bryan Stanfill
Affiliation:
National Security Directorate, PNNL, Richland, WA 99352, USA
Sarah Reehl
Affiliation:
National Security Directorate, PNNL, Richland, WA 99352, USA
Lisa Bramer
Affiliation:
National Security Directorate, PNNL, Richland, WA 99352, USA

Abstract

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Type
Abstract
Copyright
© Microscopy Society of America 2018 

References

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[3] Stevens, A., Yang., H., Carin, L., Arslan, I. Browning, N. D. Microscopy 63, 4151, 2014.Google Scholar
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[7] This work was supported in part by the Chemical Imaging Initiative (CII) and the Analytics in Motion (AIM) Initiative, Laboratory Directed Research and Development (LDRD) Programs at the Pacific Northwest National Laboratory (PNNL). PNNL is a multi-program national laboratory operated by Battelle for the U.S. Department of Energy (DOE) under Contract DE-AC05-76RL01830. A portion of the research was performed in the Environmental Molecular Sciences Laboratory (EMSL), a national scientific user facility sponsored by the DOEs Office of Biological and Environmental Research.Google Scholar