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Real-time, On-Microscope Automated Quantification of Features in Microcopy Experiments Using Machine Learning and Edge Computing

Published online by Cambridge University Press:  22 July 2022

Kevin G. Field ,
Priyam Patki ,
Nasir Sharaf ,
Kai Sun ,
Laura Hawkins ,
Matthew Lynch ,
Ryan Jacobs ,
Dane D. Morgan ,
Lingfeng He  and
Christopher R. Field
Kevin G. Field*
Affiliation:
University of Michigan – Ann Arbor, Ann Arbor, MI, United States Theia Scientific, LLC, Arlington, VA, United States
Priyam Patki
Affiliation:
University of Michigan – Ann Arbor, Ann Arbor, MI, United States
Nasir Sharaf
Affiliation:
Theia Scientific, LLC, Arlington, VA, United States
Kai Sun
Affiliation:
University of Michigan – Ann Arbor, Ann Arbor, MI, United States
Laura Hawkins
Affiliation:
Texas A&M University, College Station, TX, United States
Matthew Lynch
Affiliation:
University of Michigan – Ann Arbor, Ann Arbor, MI, United States
Ryan Jacobs
Affiliation:
University of Wisconsin – Madison, Madison, WI, United States
Dane D. Morgan
Affiliation:
University of Wisconsin – Madison, Madison, WI, United States
Lingfeng He
Affiliation:
Texas A&M University, College Station, TX, United States Idaho National Laboratory, Idaho Falls, ID, United States
Christopher R. Field
Affiliation:
Theia Scientific, LLC, Arlington, VA, United States
*
*Corresponding author: kgfield@umich.edu

Abstract

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Type
Correlative Microscopy and High-Throughput Characterization for Accelerated Development of Materials in Extreme Environments
Information
Microscopy and Microanalysis , Volume 28 , Supplement S1 , August 2022 , pp. 2046 - 2048
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Copyright
Copyright © Microscopy Society of America 2022

References

Li, W, Field, KG and Morgan, D., Npj Computational Materials 4 (2018) p. 36. https://doi.org/10.1038/s41524-018-0093-8.CrossRefGoogle Scholar
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This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under Award Number DE-SC0021529 and U.S. Department of Energy, Office of Science, Office of Nuclear Energy under Award Number DE-SC0021936. Additional support for K.G.F., D.M. and R.J. was provided by Idaho National Laboratory as part of the Department of Energy (DOE) Office of Nuclear Energy, Nuclear Materials Discovery and Qualification Initiative (NMDQi). The authors would like to thank Dr. Yukinori Yamamoto of Oak Ridge National Laboratory for provision of the bulk sample used to develop microscopy samples for Fig. 1b-c.Google Scholar