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Volumn 7 VOLS, Issue , 2005, Pages 6305-6308

Reagent-free automatic cell viability determination using neural networks based machine vision and dark-field microscopy in Saccharomyces cerevisiae

Author keywords

Dark field; Machine vision; Neural networks; PCA; Reagent free; SVM; Time lapse image; Viability; Yeast

Indexed keywords

COMPUTER VISION; DECISION SUPPORT SYSTEMS; IMAGE ANALYSIS; MICROSCOPIC EXAMINATION; NEURAL NETWORKS; REAL TIME SYSTEMS;

EID: 33846922109     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2005.1615939     Document Type: Conference Paper
Times cited : (3)

References (11)
  • 1
    • 0034761208 scopus 로고    scopus 로고
    • M. Land, L. Anderson, et al., Am. Soc. Brew. Chem., 2001, 59, 232-33
    • M. Land, L. Anderson, et al., Am. Soc. Brew. Chem., 2001, 59, 232-33
  • 4
    • 0032989320 scopus 로고    scopus 로고
    • KA Smart, KM Chambers, et al., Am. Soc. Brew. Chem., 1999, 57, 18-23
    • KA Smart, KM Chambers, et al., Am. Soc. Brew. Chem., 1999, 57, 18-23
  • 6
    • 33846917699 scopus 로고    scopus 로고
    • Technical Report, 2, 1-5
    • D. McLean, J. Holcomb, et al., Technical Report, 2001, 2, 1-5
    • (2001)
    • McLean, D.1    Holcomb, J.2
  • 7
    • 0037024088 scopus 로고    scopus 로고
    • Oh KB, H. Matsuoka, Int. J. Food. Microbiol., 2002, 76, 47-53
    • Oh KB, H. Matsuoka, Int. J. Food. Microbiol., 2002, 76, 47-53


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.