Software tools for single-cell tracking and quantification of cellular and molecular properties

Nature Biotechnology

Volumn 34, Issue 7, 2016, Pages 703-706

  Hilsenbeck, Oliver ^a,b   Schwarzfischer, Michael ^b   Skylaki, Stavroula ^a   Schauberger, Bernhard ^b   Hoppe, Philipp S ^a,b   Loeffler, Dirk ^a,b   Kokkaliaris, Konstantinos D ^a,b   Hastreiter, Simon ^a,b   Skylaki, Eleni ^a   Filipczyk, Adam ^b   Strasser, Michael ^b   Buggenthin, Felix ^b   Feigelman, Justin S ^b   Krumsiek, Jan ^b   Van Den Berg, Adrianus J J ^b   Endele, Max ^a,b   Etzrodt, Martin ^a   Marr, Carsten ^b   Theis, Fabian J ^b,c   Schroeder, Timm ^a,b  

^a ETH ZURICH   (Switzerland)

^b INSTITUTE OF EPIDEMIOLOGY   (Germany)

^c TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; CELL TRACKING; COMPUTER PROGRAM; FLOW CYTOMETRY; FLUORESCENCE IMAGING; LETTER; LIMIT OF QUANTITATION; MONITORING; NONHUMAN; PRIORITY JOURNAL; SINGLE CELL ANALYSIS; TIME LAPSE IMAGING; ALGORITHM; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; MACHINE LEARNING; MOLECULAR IMAGING; PROCEDURES; SOFTWARE; VIDEO MICROSCOPY;

ALGORITHMS; CELL TRACKING; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MACHINE LEARNING; MICROSCOPY, VIDEO; MOLECULAR IMAGING; PATTERN RECOGNITION, AUTOMATED; SOFTWARE;

EID: 84978402847     PISSN: 10870156     EISSN: 15461696     Source Type: Journal    
DOI: 10.1038/nbt.3626     Document Type: Letter

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