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- Title
Automated in-silico detection of cell populations in flow cytometry readouts and its application to leukemia disease monitoring.
- Authors
Toedling, Joern; Rhein, Peter; Ratei, Richard; Karawajew, Leonid; Spang, Rainer
- Abstract
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, analysis of cytometry readouts relies on visual inspection and manual gating of one- or two-dimensional projections of the data. This procedure, however, is labor-intensive and misses potential characteristic patterns in higher dimensions.
- Publication
BMC bioinformatics, 2006, Vol 7, p282
- ISSN
1471-2105
- Publication type
Journal Article
- DOI
10.1186/1471-2105-7-282