Automatic analysis of aqueous specimens for phytoplankton structure recognition and population estimation

Microscopy Research and Technique

Volumn 69, Issue 9, 2006, Pages 708-720

  Rodenacker, Karsten ^a   Hense, Burkhard ^a   Jütting, Uta ^a   Gais, Peter ^a  

^a INSTITUTE OF EPIDEMIOLOGY   (Germany)

Author keywords

Digital image analysis; Fluorescence analysis; Image archiving system; Quantification; Uterm hl plankton chambers

Indexed keywords

CLASSIFICATION (OF INFORMATION); FLUORESCENCE; IMAGE ANALYSIS; PLANKTON; STATISTICAL TESTS;

ARCHIVING SYSTEMS; AUTOMATIC ANALYSIS; DIGITAL IMAGE ANALYSIS; FLUORESCENCE ANALYSIS; IMAGE ARCHIVING SYSTEM; POPULATION ESTIMATIONS; QUANTIFICATION; STRUCTURE ANALYSIS; STRUCTURE RECOGNITION; UTERMÖHL PLANKTON CHAMBER;

PHYTOPLANKTON;

CAROTENOID; CHLOROPHYLL A; PHYCOERYTHRIN;

ALGAL BLOOM; ARTICLE; AUTOANALYSIS; CHLOROPHYLL FLUORESCENCE; ECOTOXICOLOGY; FLUORESCENCE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; IMAGE QUALITY; NONHUMAN; PHYTOPLANKTON; POPULATION DYNAMICS; PRIORITY JOURNAL; TAXONOMY;

ALGAE;

EID: 33748627689     PISSN: 1059910X     EISSN: 10970029     Source Type: Journal    
DOI: 10.1002/jemt.20338     Document Type: Article

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