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Expanding the Dimensions of a High Dynamic Range Detector with a Limited Number of Pixels via Scripting

Published online by Cambridge University Press:  05 August 2019

Xi Chen ,
Tim B. Eldred ,
Mostafa Abdelhamid  and
James M. LeBeau
Xi Chen
Affiliation:
Department of Materials Science and Engineering, North Carolina State University, Raleigh, NC, USA
Tim B. Eldred
Affiliation:
Department of Materials Science and Engineering, North Carolina State University, Raleigh, NC, USA
Mostafa Abdelhamid
Affiliation:
Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA
James M. LeBeau
Affiliation:
Department of Materials Science and Engineering, North Carolina State University, Raleigh, NC, USA

Abstract

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Type
Data Acquisition Schemes, Machine Learning Algorithms, and Open Source Software Development for Electron Microscopy
Information
Microscopy and Microanalysis , Volume 25 , Supplement S2 , August 2019 , pp. 212 - 213
Copyright
Copyright © Microscopy Society of America 2019 

References

[1]Ryll, H et al. , JINST 11 (2016), P04006Google Scholar
[2]Jiang, Y et al. , Nature 559 (2018), P343-349Google Scholar
[3]Chen, Z et al. , Ultramicroscopy 169 (2016), P107–121Google Scholar
[4]Tate, MW et al. , Microsc. Microanal 22 (2016), P237Google Scholar
[5]Yang, H et al. , J. Phys.: Conf. Ser. 644 (2015), P012032Google Scholar
[6]We acknowledge support for this work from the Air Force Office of Scientific Research (FA9550-17-1-0225. This work was performed in part at the Analytical Instrumentation Facility (AIF) at North Carolina State University, which is supported by the State of North Carolina and the National Science Foundation (award number ECCS-1542015). The AIF is a member of the North Carolina Research Triangle Nanotechnology Network (RTNN), a site in the National Nanotechnology Coordinated Infrastructure (NNCI).Google Scholar