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Customized Automation of Routine EPMA Analyses Using Vendor-Supplied APIs

Published online by Cambridge University Press:  30 July 2021

Daniel Ruscitto
Affiliation:
Materials Organization, GE Research, Niskayuna, New York, United States
Nathaniel McKeever
Affiliation:
Materials Organization, GE Research, United States
Alberto Santamaria-Pang
Affiliation:
Artificial Intelligence, GE Research, United States

Abstract

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Type
Full System and Workflow Automation for Enabling Big Data and Machine Learning in Electron Microscopy
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

Donovan, J.J. (2016), Remote Automation COM Server v. 11.7.1 User Guide and Reference. Eugene, OR, USA: Probe Software, Inc.Google Scholar
Thermo Fisher Scientific Inc. (2016), Microanalysis Portal Client Applications User Guide (v.4.0.70). Madison, WI, USA: Thermo Fisher Scientific.Google Scholar