Nuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images

Scientific Reports

Volumn 6, Issue , 2016, Pages

  Gross, Polina ^a   Honnorat, Nicolas ^b   Varol, Erdem ^b   Wallner, Markus ^a   Trappanese, Danielle M ^a   Sharp, Thomas E ^a   Starosta, Timothy ^a   Duran, Jason M ^a   Koller, Sarah ^a   Davatzikos, Christos ^b   Houser, Steven R ^a  

^a TEMPLE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; CARDIAC MUSCLE CELL; CELL NUCLEUS; CELL PROLIFERATION; CELL SURVIVAL; CONFOCAL MICROSCOPY; CYTOLOGY; FLUORESCENT ANTIBODY TECHNIQUE; HUMAN; IMAGE PROCESSING; MACHINE LEARNING; METABOLISM; PROCEDURES; SOFTWARE;

ANIMALS; CELL NUCLEUS; CELL PROLIFERATION; CELL SURVIVAL; FLUORESCENT ANTIBODY TECHNIQUE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACHINE LEARNING; MICROSCOPY, CONFOCAL; MYOCYTES, CARDIAC; SOFTWARE;

EID: 84961613316     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep23431     Document Type: Article

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