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Volumn 51, Issue 2, 2002, Pages 149-162

Fluorescence-assisted image analysis of freshwater microalgae

Author keywords

Classification; Cyanobacteria; Fluorescence; Image processing; Microalgae; Phytoplankton; Sediment analysis

Indexed keywords

ACCURACY; ALGA; ANABAENA; ARTICLE; AUTOFLUORESCENCE; AUTOMATION; COMPUTER; CONTROLLED STUDY; CYANOBACTERIUM; EPIFLUORESCENCE MICROSCOPY; EXCITATION; FLUORESCENCE ANALYSIS; IMAGE ANALYSIS; IMAGE PROCESSING; JAPAN; MICROCYSTIS; NONHUMAN; PRIORITY JOURNAL; QUANTITATIVE ASSAY; SPECIES DIFFERENTIATION; TRAINING; WATER SAMPLING;

EID: 0036066028     PISSN: 01677012     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-7012(02)00057-X     Document Type: Article
Times cited : (26)

References (22)
  • 9
  • 19
    • 0000636149 scopus 로고    scopus 로고
    • Image analysis as a tool for quantitative phycology: A computational approach to cyanobacterial taxa identification
    • (2000) Limnology , vol.1 , Issue.2 , pp. 107-115
    • Walker, R.F.1    Kumagai, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.