Tracking clathrin coated pits with a multiple hypothesis based method

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6362 LNCS, Issue PART 2, 2010, Pages 315-322

  Liang, Liang ^a   Shen, Hongying ^a   De Camilli, Pietro ^a   Duncan, James S ^a  

^a YALE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

2D IMAGES; CELLULAR PROCESS; CLATHRIN-MEDIATED ENDOCYTOSIS; CLATHRINS; GAUSSIAN MIXTURE MODEL; IMAGE DATA; IMAGE FILTERING; INITIAL PARAMETER; LIVE CELL MICROSCOPY; MANUAL TRACKING; MULTIPLE HYPOTHESIS; PARTICLE DETECTION; POISSON NOISE; SYNTHETIC DATA; THRESHOLDING METHODS; TRACKING METHOD; TRAJECTORY ESTIMATION; UNDERLYING MECHANISM;

IMAGE PROCESSING; MEDICAL COMPUTING; MOLECULAR BIOLOGY;

MEDICAL IMAGING;

ALGORITHM; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; CELL STRAIN COS1; CERCOPITHECUS; COATED VESICLE; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MICROSCOPY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ANIMALS; CERCOPITHECUS AETHIOPS; CLATHRIN-COATED VESICLES; COS CELLS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MICROSCOPY; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84883849388     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_39     Document Type: Conference Paper

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