Tracking virus particles in fluorescence microscopy images using two-step multi-frame association

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2012, Pages 664-667

  Jaiswal, A ^a   Godinez, W J ^a   Eils, R ^a   Lehmann, M J ^b   Rohr, K ^a  

^a UNIVERSITY OF HEIDELBERG   (Germany)

^b HUMBOLDT UNIVERSITY   (Germany)

Author keywords

Kalman filter; multi frame association; Virus particle tracking

Indexed keywords

BIOLOGICAL STRUCTURES; FINDING ALGORITHM; FLUORESCENCE MICROSCOPY IMAGES; FLUORESCENT PARTICLE; LOCAL APPROACHES; MICROSCOPY IMAGES; MULTI-FRAME; PARTICLE TRACKING; SEMI-GLOBAL; SUB-CELLULAR;

FLUORESCENCE MICROSCOPY; KALMAN FILTERS; MEDICAL IMAGING;

VIRUSES;

EID: 84864863470     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2012.6235635     Document Type: Conference Paper

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