Automated recognition system to classify subcellular protein localizations in images of different cell lines acquired by different imaging systems

Microscopy Research and Technique

Volumn 71, Issue 4, 2008, Pages 305-314

  Tsai, Yuh Show ^a   Chung, I Fang ^b   Simpson, Jeremy C ^c   Lee, Mei I ^a   Hsiung, Chia Cheng ^a   Chiu, Tai Yu ^b,d   Kao, Lung Sen ^b,e   Chiu, Te Cheng ^e,f   Lin, Chin Teng ^e,f   Lin, Wen Chieh ^e,f   Liang, Sheng Fu ^g   Lin, Chung Chih ^b,d,e  

^a CHUNG YUAN CHRISTIAN UNIVERSITY   (Taiwan)

^b NATIONAL YANG MING UNIVERSITY   (Taiwan)

^c EUROPEAN MOLECULAR BIOLOGY LABORATORY   (Germany)

^d CHUNG SHAN MEDICAL UNIVERSITY   (Taiwan)

^e University System of Taiwan   (Taiwan)

^f NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^g NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Automated recognition; CHO cells; GFP; Rejection rate; Subcellular features; Vero cells

Indexed keywords

AUTOMATION; CELL CULTURE; CELLS; IMAGE CLASSIFICATION; MOLECULAR BIOLOGY; PROTEINS;

AUTOMATED RECOGNITION; CELL IMAGES; CHO CELL; GFP; PROTEIN LOCALIZATION; REJECTION RATES; SUB-CELLULAR; SUBCELLULAR FEATURE; SUBCELLULAR STRUCTURE; VERO CELLS;

IMAGING SYSTEMS;

CELL PROTEIN; GREEN FLUORESCENT PROTEIN;

ACCURACY; ANIMAL CELL; ARTICLE; AUTOMATION; CELL LINE; CELL STRUCTURE; CHO CELL; CONTROLLED STUDY; GENETIC TRANSFECTION; IMAGING SYSTEM; NONHUMAN; PRIORITY JOURNAL; PROTEIN LOCALIZATION; PROTEOMICS; VERO CELL;

EID: 42049114520     PISSN: 1059910X     EISSN: 10970029     Source Type: Journal    
DOI: 10.1002/jemt.20555     Document Type: Article

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