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Volumn , Issue SUPPL. 82, 2008, Pages

Using CellProfiler for automatic identification and measurement of biological objects in images

Author keywords

Automatic image analysis; Colony counting; Morphology; Open source software; Yeast colonies

Indexed keywords

ACCURACY; AGAR MEDIUM; ANALYTIC METHOD; AUTOMATION; CLINICAL PROTOCOL; COLONY FORMATION; COMPUTER PROGRAM; FUNGAL COLONIZATION; IMAGE ANALYSIS; IMAGE DISPLAY; NONHUMAN; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; REVIEW; YEAST; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; MEDICAL RESEARCH; METHODOLOGY;

EID: 44249121081     PISSN: 19343639     EISSN: 19343647     Source Type: Journal    
DOI: 10.1002/0471142727.mb1417s82     Document Type: Review
Times cited : (38)

References (11)
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    • Bailey, S.N.1    Ali, S.M.2    Carpenter, A.E.3    Higgins, C.O.4    Sabatini, D.M.5
  • 2
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    • Data analysis: Extracting rich information from images
    • In press
    • Carpenter, A.E. 2008. Data analysis: Extracting rich information from images. Methods Mol. Biol. In press.
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    • Automated counting of mammalian cell colonies by means of a flat bed scanner and image processing
    • Dahle, J., Kakar, M., Steen, H.B., and Kaalhus, O. 2004. Automated counting of mammalian cell colonies by means of a flat bed scanner and image processing. Cytometry A 60:182-188.
    • (2004) Cytometry A , vol.60 , pp. 182-188
    • Dahle, J.1    Kakar, M.2    Steen, H.B.3    Kaalhus, O.4
  • 7
    • 33847710201 scopus 로고    scopus 로고
    • CellProfiler: Free, versatile software for automated biological image analysis
    • Lamprecht, M.R., Sabatini, D.M., and Carpenter, A.E. 2007. CellProfiler: Free, versatile software for automated biological image analysis. Biotechniques 42:71-75.
    • (2007) Biotechniques , vol.42 , pp. 71-75
    • Lamprecht, M.R.1    Sabatini, D.M.2    Carpenter, A.E.3
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    • The good, the bad and the ugly
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  • 11
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    • R Foundation for Statistical Computing, Vienna, Austria
    • R Development Core Team. 2007. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org.
    • (2007) R: A Language and Environment for Statistical Computing


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.