This article is a US government work and, as such, is in the public domain in the United States of America.
Data analysis in flow cytometry: The future just started†
Article first published online: 20 APR 2010
Published 2010 Wiley-Liss, Inc.
Cytometry Part A
Special Issue: CYTOMETRY - 30th Anniversary 1980 – 2010
Volume 77A, Issue 7, pages 705–713, July 2010
How to Cite
Lugli, E., Roederer, M. and Cossarizza, A. (2010), Data analysis in flow cytometry: The future just started. Cytometry, 77A: 705–713. doi: 10.1002/cyto.a.20901
- Issue published online: 25 JUN 2010
- Article first published online: 20 APR 2010
- Manuscript Accepted: 10 MAR 2010
- Manuscript Revised: 9 MAR 2010
- Manuscript Received: 18 JAN 2010
- polychromatic flow cytometry;
- data analysis;
- T cells;
- immune system
In the last 10 years, a tremendous progress characterized flow cytometry in its different aspects. In particular, major advances have been conducted regarding the hardware/instrumentation and reagent development, thus allowing fine cell analysis up to 20 parameters. As a result, this technology generates very complex datasets that demand for the development of optimal tools of analysis. Recently, many independent research groups approached the problem by using both supervised and unsupervised methods. In this article, we will review the new developments concerning the use of bioinformatics for polychromatic flow cytometry and propose what should be done to unravel the enormous heterogeneity of the cells we interrogate each day. Published 2010 Wiley-Liss,Inc.