Live-cell tracking using SIFT features in DIC microscopic videos

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 9, 2010, Pages 2219-2228

  Jiang, Richard M ^a   Crookes, Danny ^b   Luo, Nie ^c   Davidson, Michael W ^d  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

^b QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^d FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Laplacian eigenmap; live cell motion tracking; microscopic cell imaging; principal component analysis (PCA); scale invariant feature transform (SIFT)

Indexed keywords

LAPLACIANS; LIVE-CELL MOTION TRACKING; MICROSCOPIC CELL IMAGING; PRINCIPAL COMPONENT ANALYSIS (PCA); SCALE INVARIANT FEATURE TRANSFORMS;

CELL CULTURE; CELLS; LAPLACE TRANSFORMS;

PRINCIPAL COMPONENT ANALYSIS;

ARTICLE; CELL MOTILITY; MICROSCOPY; VIDEORECORDING;

ALGORITHMS; ANIMALS; CELL LINE; CELL MOVEMENT; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY, INTERFERENCE; MICROSCOPY, PHASE-CONTRAST; MICROSCOPY, VIDEO; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS;

EID: 77955888813     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2045376     Document Type: Article

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