Automated in-silico detection of cell populations in flow cytometry readouts and its application to leukemia disease monitoring

URN to cite this document:: urn:nbn:de:bvb:355-epub-343903
DOI to cite this document:: 10.5283/epub.34390

Toedling, J. ; Rhein, P. ; Ratei, R. ; Karawajew, L. ; Spang, Rainer

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Date of publication of this fulltext: 19 Aug 2016 13:28

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Abstract

BACKGROUND: Identification of minor cell populations, e.g. leukemic blasts within blood samples, has become increasingly important in therapeutic disease monitoring. Modern flow cytometers enable researchers to reliably measure six and more variables, describing cellular size, granularity and expression of cell-surface and intracellular proteins, for thousands of cells per second. Currently, ...