Single quantum dot tracking based on perceptual grouping using minimal paths in a spatiotemporal volume

IEEE Transactions on Image Processing

Volumn 14, Issue 9, 2005, Pages 1384-1395

  Bonneau, Stéphane ^a   Dahan, Maxime ^b   Cohen, Laurent D ^a  

^a UNIVERSITÉ PARIS DAUPHINE   (France)

^b ECOLE NORMALE SUPÉRIEURE   (France)

Author keywords

Active contours; Cellular imaging; Energy minimization; Group marching; Minimal paths; Perceptual grouping; Quantum dot; Single molecule tracking (SMT)

Indexed keywords

ALGORITHMS; CELL MEMBRANES; FEATURE EXTRACTION; FLUORESCENCE; IMAGE ANALYSIS; MOLECULES; OBJECT RECOGNITION; PATTERN MATCHING;

ACTIVE CONTOURS; CELLULAR IMAGING; GROUP MARCHING; PERCEPTUAL GROUPING; SINGLE-MOLECULE TRACKING (SMT); SPATIOTEMPORAL VOLUME;

MEDICAL IMAGING;

QUANTUM DOT;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; FLUORESCENCE MICROSCOPY; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MICROSCOPY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MICROSCOPY, FLUORESCENCE; MICROSCOPY, VIDEO; PATTERN RECOGNITION, AUTOMATED; QUANTUM DOTS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 26444459812     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2005.852794     Document Type: Article

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