Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-27T07:27:17.008Z Has data issue: false hasContentIssue false

Enabling Low-dose Liquid-phase TEM with Advanced Signal Processing, Machine Learning, and Molecular Simulation

Published online by Cambridge University Press:  30 July 2021

John Smith
Affiliation:
University of Illinois at Urbana-Champaign, United States
Qian Chen
Affiliation:
University of Illinois at Urbana-Champaign, Urbana, Illinois, United States

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
New Frontiers in In-Situ Electron Microscopy in Liquids and Gases (L&G EM FIG Sponsored)
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

Smith, JW and Chen, Q, J. Mater Chem. B 8 (2020), p. 8490.Google Scholar
Schneider, NM et al. , J. Phys. Chem. C 118 (2014), p. 22373.CrossRefGoogle Scholar
Kim, J et al. , ACS Nano 10 (2016), p. 9801.CrossRefGoogle Scholar
Kalman, RE, J. Basic Eng. 82 (1960), p. 35.Google Scholar
Stevens, A et al. , Microscopy 63 (2013), p. 41.Google Scholar
Rullgård, H, et al. J. Microsc. 243 (2011), p. 234.Google Scholar
The authors acknowledge funding from the Air Force Office of Scientific Research (AFOSR FA9550-20-1-0257)Google Scholar