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Atom Detection in Time-resolved TEM Image Series: Application of Computer Vision Techniques to Noise-degraded Frames

Published online by Cambridge University Press:  30 July 2021

Ramon Manzorro
Affiliation:
Arizona State University, United States
Yuchen Xu
Affiliation:
Cornell University, United States
Joshua Vincent
Affiliation:
Arizona State University, United States
Roberto Rivera
Affiliation:
University of Puerto Rico-Mayaguez, United States
David Matteson
Affiliation:
Cornell University, United States
Peter Crozier
Affiliation:
Arizona State University, Tempe, Arizona, United States

Abstract

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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

Faruqi, A., et al. Nucl. Instrum. Methods Phys. Res, 2018. 878, p. 180-190.CrossRefGoogle Scholar
Lawrence, E. L., et al. Microscopy and Microanalysis, 2020. 26, p. 86-94.Google Scholar
Nord, M., et al. Adv. Struct. Chem. Imaging, 2017. 3, p. 9-20.CrossRefGoogle Scholar
Levin, B. D. A., et al. Ultramicroscopy, 2019. 213, 112978.Google Scholar
Lindeberg, T., et al. Image Vision Comput., 1997. 15, p. 415-434.CrossRefGoogle Scholar
Manzorro, R., et al. , manuscript in preparation.Google Scholar
We gratefully acknowledge support of NSF grant CBET-1604971, NRT-1922658, CCF-1934985, OAC-1940097, OAC-1940124 and OAC-1940276, and the facilities at ASU's John M. Cowley Center for High Resolution Electron Microscopy.Google Scholar