Computer vision for image-based transcriptomics

Methods

Volumn 85, Issue , 2015, Pages 44-53

  Stoeger, Thomas ^a,b   Battich, Nico ^a,b   Herrmann, Markus D ^a,b   Yakimovich, Yauhen ^a   Pelkmans, Lucas ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

^b Life Science Zurich   (Switzerland)

Author keywords

FISH; High throughput; Image based transcriptomics; In situ hybridization; Localization; Segmentation; Single cell; Single molecule; Subcellular

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATION; CELL NUCLEUS; CELLULAR DISTRIBUTION; COMPUTER; COMPUTER VISION; GENE EXPRESSION; IMAGE ANALYSIS; PRIORITY JOURNAL; TRANSCRIPTOMICS; ANIMAL; ARTIFICIAL INTELLIGENCE; GENE EXPRESSION PROFILING; HUMAN; PHYSIOLOGY; PROCEDURES; SINGLE CELL ANALYSIS;

TRANSCRIPTOME;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; GENE EXPRESSION PROFILING; HUMANS; SINGLE-CELL ANALYSIS; TRANSCRIPTOME;

EID: 84939773907     PISSN: 10462023     EISSN: 10959130     Source Type: Journal    
DOI: 10.1016/j.ymeth.2015.05.016     Document Type: Article

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