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ImageJ for the Next Generation of Scientific Image Data

Published online by Cambridge University Press:  05 August 2019

Curtis T. Rueden
Affiliation:
Laboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Madison, Wisconsin, USA.
Kevin W. Eliceiri*
Affiliation:
Laboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Madison, Wisconsin, USA. Morgridge Institute for Research, Madison, Wisconsin, USA.
*
*Corresponding author: eliceiri@wisc.edu

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]Schneider, CA, Rasband, WS and Eliceiri, KW. Nature Methods 9 (2012), p. 671.Google Scholar
[2]Arena, ET et al. , Wiley Interdiscip Rev Dev Biol. 6 (2017), p 260.Google Scholar
[3]Schindelin, J et al. , Nature Methods 9 (2012), p 676.Google Scholar
[4]Schindelin, J et al. , BMC Bioinformatics. 18 (2017), p 529.Google Scholar
[5]The authors acknowledge funding from NIH grants R03 EB008516 and RC2 GM092519 and from the Morgridge Institute for Research.Google Scholar