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Real-time adaptive clustering of flow cytometric data

✍ Scribed by LiMin Fu; Mark Yang; Raul Braylan; Neal Benson

Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
659 KB
Volume
26
Category
Article
ISSN
0031-3203

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## Abstract ## Background Clinical flow cytometry typically involves the sequential interpretation of two‐dimensional histograms, usually culled from six or more cellular characteristics, following initial selection (gating) of cell populations based on a different subset of these characteristics.