A framework for image-based classification of mitotic cells in asynchronous populations

Assay and Drug Development Technologies

Volumn 10, Issue 2, 2012, Pages 161-178

  Slattery, Scott D ^a   Newberg, Justin Y ^a   Szafran, Adam T ^a   Hall, Rebecca M ^a   Brinkley, Bill R ^a   Mancini, Michael A ^a  

^a BAYLOR COLLEGE OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DNA; MITOTIC PHOSPHOPROTEIN MONOCLONAL 2; PHOSPHOPROTEIN; UNCLASSIFIED DRUG;

ANAPHASE; ARTICLE; AUTOMATION; CELL CYCLE; CELL POPULATION; CELL SYNCHRONIZATION; CLASSIFICATION; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; CYTOKINESIS; DECISION TREE; DNA CONTENT; HIGH THROUGHPUT SCREENING; IMAGE CYTOMETRY; IMAGE PROCESSING; INTERMETHOD COMPARISON; INTERPHASE; MACHINE LEARNING; MICROSCOPE; MITOSIS; MITOSIS INDEX; PROMETAPHASE; PROPHASE; SUPPORT VECTOR MACHINE; TELOPHASE;

ALGORITHMS; ANAPHASE; AUTOMATION; CELL CYCLE; CELL NUCLEUS; CELLS; COLORING AGENTS; CYTOKINESIS; CYTOLOGICAL TECHNIQUES; DNA; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMMUNOCHEMISTRY; MICROSCOPY; MITOSIS; PROTEIN-SERINE-THREONINE KINASES; REPRODUCIBILITY OF RESULTS; SUPPORT VECTOR MACHINES; TISSUE FIXATION;

EID: 84859809122     PISSN: 1540658X     EISSN: 15578127     Source Type: Journal    
DOI: 10.1089/adt.2011.0397     Document Type: Article

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