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

PLoS ONE

Volumn 13, Issue 5, 2018, Pages

  Pischel, Dennis ^a   Buchbinder, Jörn H ^a   Sundmacher, Kai ^a,b   Lavrik, Inna N ^a   Flassig, Robert J ^b  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

^b MAX PLANCK INSTITUTE FOR DYNAMICS OF COMPLEX TECHNICAL SYSTEMS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

APOPTOSIS; ARTICLE; AUTOMATION; CLASSIFICATION; CONTROLLED STUDY; DATA ANALYSIS; FLOW CYTOMETRY; HELA CELL LINE; HUMAN; HUMAN CELL; IMAGE ANALYSIS; IMAGING FLOW CYTOMETRY; INTERMETHOD COMPARISON; MACHINE LEARNING; SOFTWARE; ANIMAL; DEVICES; PROCEDURES;

ANIMALS; APOPTOSIS; FLOW CYTOMETRY; HELA CELLS; HUMANS;

EID: 85047213221     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0197208     Document Type: Article

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