| Data analysis in flow cytometry: the future just started. | |
| | |
MedLine Citation:
|
PMID: 20583274 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
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. |
| | |
Authors:
|
Enrico Lugli; Mario Roederer; Andrea Cossarizza |
Related Documents
:
|
188794 - Histochemical observations on chicken blood and bone marrow cells. 17661344 - Optimized isolation enables ex vivo analysis of microglia from various central nervous ... 476774 - Further studies on mobilization of cfus. 20875824 - Stability of immunophenotypic markers in fixed peripheral blood for extended analysis u... 3128964 - Ultra-high-frequency jet ventilation in a bronchopleural fistula model. 16899754 - Preferential flow estimates to an agricultural tile drain with implications for glyphos... |
Publication Detail:
|
Type: Journal Article; Review |
Journal Detail:
|
Title: Cytometry. Part A : the journal of the International Society for Analytical Cytology Volume: 77 ISSN: 1552-4930 ISO Abbreviation: Cytometry A Publication Date: 2010 Jul |
Date Detail:
|
Created Date: 2010-07-01 Completed Date: 2010-10-06 Revised Date: 2012-03-08 |
Medline Journal Info:
|
Nlm Unique ID: 101235694 Medline TA: Cytometry A Country: United States |
Other Details:
|
Languages: eng Pagination: 705-13 Citation Subset: IM |
Affiliation:
|
Immuno Technology Section, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland 20892, USA. luglie@mail.nih.gov |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Algorithms Animals Cells* / metabolism, ultrastructure Cluster Analysis Computational Biology / methods* Flow Cytometry* / instrumentation, methods, trends Humans Image Processing, Computer-Assisted* / instrumentation, methods, trends Principal Component Analysis Software |
| Grant Support | |
ID/Acronym/Agency:
|
Z99 AI999999/AI/NIAID NIH HHS |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Neuron tracing in perspective.
Next Document: Good cell, bad cell: flow cytometry reveals T-cell subsets important in HIV disease.