Introduction to the quantitative analysis of two-dimensional fluorescence microscopy images for cell-based screening

PLoS Computational Biology

Volumn 5, Issue 12, 2009, Pages

  Ljosa, Vebjorn ^a   Carpenter, Anne E ^a  

^a BROAD INSTITUTE OF MIT AND HARVARD   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CELL-BASED; FLUORESCENCE MICROSCOPY IMAGES; TWO-DIMENSIONAL;

FLUORESCENCE MICROSCOPY;

AUTOMATION; CELL COMPARTMENTALIZATION; CELL SCREENING; COMPUTER PROGRAM; FLUORESCENCE MICROSCOPY; HIGH THROUGHPUT SCREENING; IMAGE ANALYSIS; MACHINE LEARNING; QUANTITATIVE ANALYSIS; REVIEW; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOASSAY; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; METHODOLOGY; MULTIPHOTON MICROSCOPY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOLOGICAL ASSAY; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICROSCOPY, FLUORESCENCE, MULTIPHOTON; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOFTWARE;

EID: 74549174645     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000603     Document Type: Review

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