Intelligent acquisition and learning of fluorescence microscope data models

IEEE Transactions on Image Processing

Volumn 18, Issue 9, 2009, Pages 2071-2084

  Jackson, Charles ^a   Murphy, Robert F ^b   Kovačević, Jelena ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Active learning; Fluorescence microscopy; Image modeling; Intelligent acquisition; Particle filter

Indexed keywords

ACQUISITION STRATEGIES; ACQUISITION SYSTEMS; ACQUISITION TIME; ACTIVE LEARNING; DATA MODELS; EFFICIENCY GAIN; FLUORESCENCE MICROSCOPES; HIGH-THROUGHPUT; IMAGE DATA; IMAGE MODELING; INTELLIGENT ACQUISITION; MATHEMATICAL FRAMEWORKS; OBJECT MOTION; PARTICLE FILTER; PHOTO-TOXICITY; RAW IMAGE DATA; VISUAL INSPECTION;

AIR FILTERS; BIOLOGY; CELL MEMBRANES; EDUCATION; FLUORESCENCE; FLUORESCENCE MICROSCOPY; MODEL BUILDINGS; NONLINEAR FILTERING; PHOTOBLEACHING; THREE DIMENSIONAL; TIME SERIES; VISUAL COMMUNICATION;

MERGERS AND ACQUISITIONS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BLEACHING; FLUORESCENCE MICROSCOPY; METHODOLOGY; REPRODUCIBILITY; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; MICROSCOPY, FLUORESCENCE; MODELS, THEORETICAL; PHOTOBLEACHING; REPRODUCIBILITY OF RESULTS;

EID: 69349090795     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2009.2024580     Document Type: Article

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