SR-Tesseler: A method to segment and quantify localization-based super-resolution microscopy data

Nature Methods

Volumn 12, Issue 11, 2015, Pages 1065-1071

  Levet, Florian ^a,b,c   Hosy, Eric ^a,b   Kechkar, Adel ^a,b,d   Butler, Corey ^a,b,e   Beghin, Anne ^a,b   Choquet, Daniel ^a,b,c   Sibarita, Jean Baptiste ^a,b  

^a UNIVERSITÉ DE BORDEAUX   (France)

^b CNRS   (France)

^c University of Bordeaux   (France)

^d ville Universitaire Ali Mendjli   (Algeria)

^e Imagine Optic   (France)

Author keywords

[No Author keywords available]

Indexed keywords

GLUTAMATE RECEPTOR; PROTEIN; FLUORESCENT DYE; GLYCINE RECEPTOR;

ANIMAL CELL; ARTICLE; CELL ADHESION; CLUSTER ANALYSIS; COMPUTER INTERFACE; FIBROBLAST; HISTOGRAM; IMAGE PROCESSING; LOCALIZATION BASED SUPER RESOLUTION MICROSCOPY; MICROSCOPY; NONHUMAN; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; VISUAL FEEDBACK; XENOPUS LAEVIS; ALGORITHM; ANIMAL; AUTOMATED PATTERN RECOGNITION; BIOLOGY; CHEMISTRY; CHLOROCEBUS AETHIOPS; COMPUTER PROGRAM; COMPUTER SIMULATION; COS 1 CELL LINE; FLUORESCENCE MICROSCOPY; HUMAN; METABOLISM; NERVE CELL; OOCYTE; PHYSIOLOGY; PROCEDURES;

ALGORITHMS; ANIMALS; CERCOPITHECUS AETHIOPS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; COS CELLS; FLUORESCENT DYES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY, FLUORESCENCE; NEURONS; OOCYTES; PATTERN RECOGNITION, AUTOMATED; RECEPTORS, GLYCINE; SOFTWARE; XENOPUS LAEVIS;

EID: 84945893813     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.3579     Document Type: Article

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