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Volumn 17, Issue 3, 2012, Pages 401-408

Automated analysis and classification of infected macrophages using bright-field amplitude contrast data

Author keywords

high content screening; image analysis; imaging technologies; microscopy

Indexed keywords

ARTICLE; AUTOANALYSIS; BRIGHT FIELD MICROSCOPY; CELL DENSITY; CELL VIABILITY; CONTROLLED STUDY; HIGH THROUGHPUT SCREENING; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE QUALITY; MACROPHAGE; PHENOTYPE; PRIORITY JOURNAL; TULAREMIA;

EID: 84859056832     PISSN: 10870571     EISSN: 1552454X     Source Type: Journal    
DOI: 10.1177/1087057111426902     Document Type: Article
Times cited : (6)

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    • Automatic Segmentation of Unstained Living Cells in Bright Field Microscope Images
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.