Bayesian cluster identification in single-molecule localization microscopy data

Nature Methods

Volumn 12, Issue 11, 2015, Pages 1072-1076

  Rubin Delanchy, Patrick ^a   Burn, Garth L ^b   Griffié, Juliette ^b   Williamson, David J ^c   Heard, Nicholas A ^d   Cope, Andrew P ^e   Owen, Dylan M ^b  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b KING'S COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF MANCHESTER   (United Kingdom)

^d IMPERIAL COLLEGE LONDON   (United Kingdom)

^e KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CD3 ANTIGEN; CD3 ZETA ANTIGEN; UNCLASSIFIED DRUG; CD3 ANTIGEN, ZETA CHAIN;

ACCURACY; ARTICLE; BAYES THEOREM; CLUSTER ANALYSIS; CONTROLLED STUDY; HUMAN; HUMAN CELL; MOLECULE; PRIORITY JOURNAL; SIMULATION; SINGLE MOLECULE LOCALIZATION BASED SUPER RESOLUTION MICROSCOPY; ALGORITHM; BIOLOGY; CD4+ T LYMPHOCYTE; CELL MEMBRANE; CHEMISTRY; CYTOLOGY; FLUORESCENCE MICROSCOPY; IMMUNOLOGY; MARKOV CHAIN; METABOLISM; OPTICS; REPRODUCIBILITY; T LYMPHOCYTE;

ALGORITHMS; ANTIGENS, CD3; BAYES THEOREM; CD4-POSITIVE T-LYMPHOCYTES; CELL MEMBRANE; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; HUMANS; MICROSCOPY, FLUORESCENCE; OPTICS AND PHOTONICS; REPRODUCIBILITY OF RESULTS; STOCHASTIC PROCESSES; T-LYMPHOCYTES;

EID: 84945973075     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.3612     Document Type: Article

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