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 language | English |
|---|---|
| Pages (from-to) | 705-713 |
| Number of pages | 9 |
| Journal | Cytometry Part A |
| Volume | 77 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - Jul 2010 |
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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 journal › Article
}
TY - JOUR
T1 - Data analysis in flow cytometry
T2 - The future just started
AU - Lugli, Enrico
AU - Roederer, Mario
AU - Cossarizza, Andrea
PY - 2010/7
Y1 - 2010/7
N2 - 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.
AB - 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.
KW - Data analysis
KW - Immune system
KW - Lymphocytes
KW - Polychromatic flow cytometry
KW - T cells
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UR - http://www.scopus.com/inward/citedby.url?scp=77954250303&partnerID=8YFLogxK
U2 - 10.1002/cyto.a.20901
DO - 10.1002/cyto.a.20901
M3 - Article
C2 - 20583274
AN - SCOPUS:77954250303
VL - 77
SP - 705
EP - 713
JO - Cytometry. Part A : the journal of the International Society for Analytical Cytology
JF - Cytometry. Part A : the journal of the International Society for Analytical Cytology
SN - 1552-4922
IS - 7
ER -