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  A guide to automated apoptosis detection: How to make sense of imaging flow cytometry data

Pischel, D., Buchbinder, J., Sundmacher, K., Lavrik, I., & Flassig, R. (2018). A guide to automated apoptosis detection: How to make sense of imaging flow cytometry data. PLoS ONE, 13(5): e0197208. doi:10.1371/journal.pone.0197208.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-F048-F Version Permalink: http://hdl.handle.net/21.11116/0000-0002-B310-1
Genre: Journal Article

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flassig_2633708.pdf (Publisher version), 4MB
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© 2018 Pischel et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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 Creators:
Pischel, Dennis1, Author              
Buchbinder, Jörn2, Author
Sundmacher, K.1, 2, Author              
Lavrik, I.2, Author
Flassig, Robert1, Author              
Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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Language(s): eng - English
 Dates: 2018
 Publication Status: Published in print
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 Rev. Method: Peer
 Identifiers: DOI: 10.1371/journal.pone.0197208
Other: pubdata_escidoc:2633708
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Title: PLoS ONE
Source Genre: Journal
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Pages: - Volume / Issue: 13 (5) Sequence Number: e0197208 Start / End Page: - Identifier: -