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Volumn 2015, Issue , 2015, Pages 14.17.1-14.17.13

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

Author keywords

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

Indexed keywords

ARTICLE; AUTOMATION; CFU COUNTING; COMPUTER PROGRAM; FUNGAL COLONIZATION; IMAGE ANALYSIS; IMAGING; MEASUREMENT; METHODOLOGY; NONHUMAN; ORGANISM COLONY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; YEAST; CHEMISTRY; CULTURE MEDIUM; GROWTH, DEVELOPMENT AND AGING; IMAGE PROCESSING; LABORATORY AUTOMATION; PROCEDURES; SACCHAROMYCES CEREVISIAE;

EID: 84947810434     PISSN: 19343639     EISSN: 19343647     Source Type: Journal    
DOI: 10.1002/0471142727.mb1417s109     Document Type: Article
Times cited : (52)

References (8)
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    • 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.
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    • Dahle, J.1    Kakar, M.2    Steen, H.B.3    Kaalhus, O.4
  • 5
    • 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
  • 7
    • 34248590377 scopus 로고    scopus 로고
    • The good, the bad and the ugly
    • Pearson, H. 2007. The good, the bad and the ugly. Nature 447:138-140.
    • (2007) Nature , vol.447 , pp. 138-140
    • Pearson, H.1
  • 8
    • 84907095419 scopus 로고    scopus 로고
    • R: A Language and Environment for Statistical Computing
    • Vienna, Austria
    • R Development Core Team. 2014. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. http://www. R-project.org/.
    • (2014) R Foundation for Statistical Computing


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.