Tracking multiple particles in fluorescence microscopy images via probabilistic data association

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2011, Pages 1925-1928

  Godinez, W J ^a   Lampe, M ^a   Eils, R ^a   Muller, B ^a   Rohr, K ^a  

^a UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

Biomedical imaging; microscopy images; tracking; virus particles

Indexed keywords

ASSOCIATION PROBABILITY; BIOMEDICAL IMAGING; BOTTOM-UP STRATEGY; CLOSE PROXIMITY; DYNAMICAL PROCESS; FLUORESCENCE MICROSCOPY IMAGES; FLUORESCENT PARTICLE; LOCALIZATION ALGORITHM; LOCALIZATION SCHEMES; MICROSCOPY IMAGES; MULTIPLE PARTICLES; POSITION ESTIMATION; PROBABILISTIC DATA ASSOCIATION; QUANTITATIVE DESCRIPTION; SUBCELLULAR STRUCTURE; SYNTHETIC IMAGES; TOPDOWN;

FLUORESCENCE MICROSCOPY; KALMAN FILTERS; MEDICAL IMAGING; VIRUSES;

FLUORESCENCE;

EID: 80055046004     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2011.5872786     Document Type: Conference Paper

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