From quantitative microscopy to automated image understanding

Journal of Biomedical Optics

Volumn 9, Issue 5, 2004, Pages 893-912

  Huang, Kai ^a   Murphy, Robert F ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Fluorescence microscopy; Location proteomics; Pattern recognition; Protein distribution comparison; Protein localization; Subcellular location features

Indexed keywords

ALGORITHM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FLUORESCENCE MICROSCOPY; IMAGE ENHANCEMENT; MATHEMATICAL COMPUTING; METHODOLOGY; REVIEW; SIGNAL PROCESSING; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MICROSCOPY, FLUORESCENCE; NEURAL NETWORKS (COMPUTER); NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED;

BIOMEDICAL ENGINEERING; CELLS; FLUORESCENCE; LIGHT ABSORPTION; LIGHT EMISSION; LIGHT REFLECTION; MEDICAL APPLICATIONS; NEURAL NETWORKS; OPTICAL MICROSCOPY; PATTERN RECOGNITION; TISSUE;

FLUORESCENCE MICROSCOPY; LOCATION PROTEOMICS; PROTEIN DISTRIBUTION COMPARISON; PROTEIN LOCALIZATION; SUBCELLULAR LOCATION FEATURES;

MEDICAL IMAGING;

EID: 13844300843     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.1779233     Document Type: Article

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