Label-free detection of cellular drug responses by high-throughput bright-field imaging and machine learning

Scientific Reports

Volumn 7, Issue 1, 2017, Pages

  Kobayashi, Hirofumi ^a   Lei, Cheng ^a   Wu, Yi ^b   Mao, Ailin ^a   Jiang, Yiyue ^a   Guo, Baoshan ^a   Ozeki, Yasuyuki ^a   Goda, Keisuke ^a,c,d  

^a UNIVERSITY OF TOKYO   (Japan)

^b Carnegie Mellon University ^*  (United States)

^c JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTINEOPLASTIC AGENT; PACLITAXEL;

CELL SHAPE; DEVICES; DOSE RESPONSE; DRUG EFFECT; HIGH THROUGHPUT SCREENING; HUMAN; IMAGE PROCESSING; INTERFERENCE MICROSCOPY; MACHINE LEARNING; MCF-7 CELL LINE; MICROFLUIDICS; PROCEDURES; STATISTICS AND NUMERICAL DATA;

ANTINEOPLASTIC AGENTS, PHYTOGENIC; CELL SHAPE; DOSE-RESPONSE RELATIONSHIP, DRUG; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACHINE LEARNING; MCF-7 CELLS; MICROFLUIDICS; MICROSCOPY, INTERFERENCE; PACLITAXEL;

EID: 85030317641     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/s41598-017-12378-4     Document Type: Article

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