Hostname: page-component-78c5997874-xbtfd Total loading time: 0 Render date: 2024-11-10T06:17:29.902Z Has data issue: false hasContentIssue false

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: Stephan.Nickell@Zeiss.com

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
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