A high content imaging-based approach for classifying cellular phenotypes

Methods in Molecular Biology

Volumn 1052, Issue , 2013, Pages 41-48

  Kim, Joseph J ^a   Vega, Sebastián L ^b   Moghe, Prabhas V ^a  

^a RUTGERS UNIVERSITY   (United States)

^b The State University of New Jersey   (United States)

Author keywords

Bioimage informatics; High content image analysis; Immunocytochemistry; Phenotypic classification; Pluripotent stem cells

Indexed keywords

BIOMATERIAL;

ARTICLE; CELL FATE; CELL LINEAGE; CELL STRUCTURE; CELL SUBPOPULATION; CLASSIFICATION; HIGH CONTENT IMAGE ANALYSIS; HUMAN; HUMAN CELL; IMAGE ANALYSIS; IMMUNOCYTOCHEMISTRY; METHODOLOGY; MOLECULAR IMAGING; PHENOTYPE; PRIORITY JOURNAL; STEM CELL;

BIOCOMPATIBLE MATERIALS; BIOLOGICAL MARKERS; BONE MARROW CELLS; CELL CULTURE TECHNIQUES; CELL DIFFERENTIATION; CELLS, CULTURED; HUMANS; MESENCHYMAL STROMAL CELLS; OPTICAL IMAGING; PLURIPOTENT STEM CELLS;

EID: 84883252128     PISSN: 10643745     EISSN: None     Source Type: Book Series    
DOI: 10.1007/7651-2013-29     Document Type: Article

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