Computational image analysis of colony and nuclear morphology to evaluate human induced pluripotent stem cells

Scientific Reports

Volumn 4, Issue , 2014, Pages

  Tokunaga, Kazuaki ^a,b   Saitoh, Noriko ^a,b   Goldberg, Ilya G ^c   Sakamoto, Chiyomi ^a   Yasuda, Yoko ^a   Yoshida, Yoshinori ^d   Yamanaka, Shinya ^d,e   Nakao, Mitsuyoshi ^a,b  

^a KUMAMOTO UNIVERSITY   (Japan)

^b JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

^c NATIONAL INSTITUTE ON AGING   (United States)

^d KYOTO UNIVERSITY   (Japan)

^e GLADSTONE INSTITUTE OF CARDIOVASCULAR DISEASE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CELL DIFFERENTIATION; CELL NUCLEUS; GENETICS; HUMAN; IMAGE PROCESSING; METABOLISM; MOLECULAR IMAGING; NUCLEAR REPROGRAMMING; PLURIPOTENT STEM CELL; STATISTICS AND NUMERICAL DATA; ULTRASTRUCTURE;

ARTIFICIAL INTELLIGENCE; CELL DIFFERENTIATION; CELL NUCLEUS; CELLULAR REPROGRAMMING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INDUCED PLURIPOTENT STEM CELLS; MOLECULAR IMAGING; PATTERN RECOGNITION, AUTOMATED;

EID: 84944448246     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep06996     Document Type: Article

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