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Pioneering the Use of Neural Network Architectures and Feature Engineering for Real-Time Augmented Microscopy and Analysis

Published online by Cambridge University Press:  01 August 2018

Matthew L. Gong
Affiliation:
University of Utah, Scientific Computing Imaging Institute, Department of Electrical and Computer Engineering, Salt Lake City, UT Idaho National Laboratory, Nuclear Science and Technology Division, Idaho Falls, ID
Su Jong Yoon
Affiliation:
Idaho National Laboratory, Nuclear Science and Technology Division, Idaho Falls, ID
Raymond R. Unocic
Affiliation:
Oak Ridge National Laboratory, Center for Nanophase Materials Science, Oak Ridge, TN
Hope Ishii
Affiliation:
University of Hawai’i at Manoa, School of Ocean and Earth Science and Technology, Honolulu, HI
John P. Bradley
Affiliation:
University of Hawai’i at Manoa, School of Ocean and Earth Science and Technology, Honolulu, HI
Brandon D. Miller
Affiliation:
Idaho National Laboratory, Nuclear Science and Technology Division, Idaho Falls, ID
Daniel Masiel
Affiliation:
Integrated Dynamic Electron Solutions, Pleasanton, CA
Bryan Reed
Affiliation:
Integrated Dynamic Electron Solutions, Pleasanton, CA
Tolga Tasdizen
Affiliation:
University of Utah, Scientific Computing Imaging Institute, Department of Electrical and Computer Engineering, Salt Lake City, UT
Jeffery A. Aguiar
Affiliation:
University of Utah, Scientific Computing Imaging Institute, Department of Electrical and Computer Engineering, Salt Lake City, UT University of Utah, Department of Materials Science and Engineering, Salt Lake City, UT

Abstract

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Type
Abstract
Copyright
© Microscopy Society of America 2018 

References

[1] Work supported through the INL Laboratory Directed Research& Development (LDRD) Program under DOE Idaho Operations Office Contract DE-AC07-05ID145142. Drs. Brian van Deevner and Ian Harvey are thanked for her many useful discussions and contributions to this work. Authors also acknowledge Sudhajit Misra, Dr. Jing Gu, and Robert Mariani for helpful discussions..Google Scholar