Automatic tracking of individual fluorescence particles: Application to the study of chromosome dynamics

IEEE Transactions on Image Processing

Volumn 14, Issue 9, 2005, Pages 1372-1383

  Sage, Daniel ^a   Neumann, Franck R ^b   Hediger, Florence ^b   Gasser, Susan M ^b,c   Unser, Michael ^a  

^a EPFL   (Switzerland)

^b UNIVERSITY OF GENEVA   (Switzerland)

^c FRIEDRICH MIESCHER INSTITUTE FOR BIOMEDICAL RESEARCH   (Switzerland)

Author keywords

Dynamic programming (DP); Fluorescence microscopy; Image sequence analysis; Living cell; Particle tracking

Indexed keywords

ALGORITHMS; CELLS; DYNAMIC PROGRAMMING; FLUORESCENCE; IMAGE ANALYSIS; MICROSCOPIC EXAMINATION; PARTICLES (PARTICULATE MATTER);

AUTOMATIC TRACKING; CHROMOSOME DYNAMICS; FLUORESCENCE MICROSCOPY; FLUORESCENE PARTICLES; IMAGE SEQUENCE ANALYSIS;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CHROMOSOME; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; FLUORESCENCE MICROSCOPY; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MICROSCOPY; MOTION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; ULTRASTRUCTURE; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CHROMOSOMES; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICROSCOPY, FLUORESCENCE; MICROSCOPY, VIDEO; MOTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 26444477373     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2005.852787     Document Type: Article

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