Data analysis in flow cytometry: The future just started

Enrico Lugli, Mario Roederer, Andrea Cossarizza

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)705-713
Number of pages9
JournalCytometry Part A
Volume77
Issue number7
DOIs
Publication statusPublished - Jul 2010

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Flow Cytometry
Computational Biology
Technology
Research
Datasets

Keywords

  • Data analysis
  • Immune system
  • Lymphocytes
  • Polychromatic flow cytometry
  • T cells

ASJC Scopus subject areas

  • Cell Biology
  • Histology
  • Pathology and Forensic Medicine
  • Medicine(all)

Cite this

Data analysis in flow cytometry : The future just started. / Lugli, Enrico; Roederer, Mario; Cossarizza, Andrea.

In: Cytometry Part A, Vol. 77, No. 7, 07.2010, p. 705-713.

Research output: Contribution to journalArticle

Lugli, Enrico ; Roederer, Mario ; Cossarizza, Andrea. / Data analysis in flow cytometry : The future just started. In: Cytometry Part A. 2010 ; Vol. 77, No. 7. pp. 705-713.
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