Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-24T20:38:46.193Z Has data issue: false hasContentIssue false

Towards Reproducible and Transparent Science of (Big) Electron Microscopy Data Using Version Control

Published online by Cambridge University Press:  05 August 2019

Magnus Nord*
Affiliation:
EMAT, University of Antwerp, Antwerp, Belgium.
Johan Verbeeck
Affiliation:
EMAT, University of Antwerp, Antwerp, Belgium.
*
*Corresponding author: [email protected]

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]McGrouther, D et al. , Microscopy and Microanalysis (2015), p. 1595.Google Scholar
[2]Blischak, J et al. , PLOS Computational Biology (2016), p. 1.Google Scholar
[3]git, https://git-scm.com/ (accessed February 21, 2019)Google Scholar