Cellular analysis by open-source software for affordable cytometry

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Volumn 33, Issue 1, 2011, Pages 33-40

  Mittag, Anja ^a,b   Pinto, Fernanda E ^c   Endringer, Denise C ^c   Tarnok, Attila ^b   Lenz, Dominik ^c  

^a Translational Centre for Regenerative Medicine   (Germany)

^b UNIVERSITY OF LEIPZIG   (Germany)

^c UNIVERSIDADE VILA VELHA   (Brazil)

Author keywords

Cell count; Fluorescence intensity; Image cytometry

Indexed keywords

CELL COUNT; CYTOMETRIC ANALYSIS; CYTOMETRY; FLUORESCENCE INTENSITIES; FLUORESCENCE INTENSITY; FLUORESCENCE MICROSCOPES; IMAGE CYTOMETRY; LASER SCANNING; OPEN-SOURCE; OPEN-SOURCE SOFTWARES; QUANTITATIVE ANALYSIS; SELF-ASSEMBLED; SOFTWARE ANALYSIS;

HEALTH CARE;

FLUORESCENCE;

ARTICLE; CELL COUNT; COMPUTER PROGRAM; FLUORESCENCE MICROSCOPY; IMAGE ANALYSIS; IMAGE CYTOMETRY; LASER SCANNING CYTOMETRY; PRIORITY JOURNAL;

IMAGE CYTOMETRY; IMAGE PROCESSING, COMPUTER-ASSISTED; SOFTWARE;

EID: 79953691804     PISSN: 01610457     EISSN: 19328745     Source Type: Journal    
DOI: 10.1002/sca.20220     Document Type: Article

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