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Towards Fast and Direct Memory Read-out by Multi-beam Scanning Electron Microscopy and Deep Learning Image Classification

Published online by Cambridge University Press:  05 August 2019

Kyle Crosby
Affiliation:
Carl Zeiss Microscopy LLC, Business Development mSEM, One Zeiss Drive, Thornwood, USA.
Tomasz Garbowski
Affiliation:
Carl Zeiss Microscopy GmbH, Business Development mSEM, Oberkochen, Germany.
Stephan Nickell*
Affiliation:
Carl Zeiss Microscopy GmbH, Business Development mSEM, Oberkochen, Germany.
*
*Corresponding author: [email protected]

Abstract

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Type
Data Acquisition Schemes, Machine Learning Algorithms, and Open Source Software Development for Electron Microscopy
Copyright
Copyright © Microscopy Society of America 2019 

References

[1]Rosenkranz, , J Mater Sci: Mater Electron 22 (2011), p. 1523.Google Scholar
[2]Courbon, et al. , Smart Card Research and Advanced Applications: 15th International Conference, CARDIS (2016) p. 57.Google Scholar
[3]Eberle, et al. , Journal of Microscopy 259 (2015), p. 114.Google Scholar
[4]Nickell, et al. , Journal of Structural Biology 149 (2005), p. 227.Google Scholar
[5]Krizhevsky, et al. , Advances in Neural Information Processing Systems 25 (2012), p. 1097.Google Scholar
[6]Cireşan, et al. , Computer Vision and Pattern Recognition (2012), p. 3642.Google Scholar