A novel method for fast and statistically verified morphological characterization of filamentous fungi

Fungal Genetics and Biology

Volumn 49, Issue 7, 2012, Pages 499-510

  Posch, Andreas E ^a   Spadiut, Oliver ^a   Herwig, Christoph ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Automated image analysis; Fungal morphology; High throughput microscopy; Statistical data analysis

Indexed keywords

ARTICLE; AUTOMATION; BOOTSTRAPPING; FUNGAL STRUCTURES; IMAGE ANALYSIS; MICROSCOPY; NONHUMAN; PENICILLIUM CHRYSOGENUM; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; STATISTICAL ANALYSIS; VALIDITY;

FUNGI; HIGH-THROUGHPUT SCREENING ASSAYS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY; MODELS, STATISTICAL; MYCOLOGY;

FUNGI; PENICILLIUM CHRYSOGENUM;

EID: 84862894084     PISSN: 10871845     EISSN: 10960937     Source Type: Journal    
DOI: 10.1016/j.fgb.2012.05.003     Document Type: Article

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