The curvHDR method for gating flow cytometry samples

BioMed Central Ltd
Publication Type:
Journal Article
BMC Bioinformatics, 2010, 11 pp. 44 - 56
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Background High-throughput flow cytometry experiments produce hundreds of large multivariate samples of cellular characteristics. These samples require specialized processing to obtain clinically meaningful measurements. A major component of this processing is a form of cell subsetting known as gating. Manual gating is time-consuming and subjective. Good automatic and semi-automatic gating algorithms are very beneficial to high-throughput flow cytometry.
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