Overview of clinical flow cytometry data analysis: recent advances and future challenges

Highlights • Polychromatic flow cytometry generates increasingly complex n -dimensional data sets. • New tools are being created for objective flow cytometry data analysis/interpretation. • Full automation of data analysis remains a challenge.

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Bibliographic Details
Published in:Trends in biotechnology (Regular ed.) 2013-07, Vol.31 (7), p.415-425
Main Authors: Pedreira, Carlos E, Costa, Elaine S, Lecrevisse, Quentin, van Dongen, Jacques J.M, Orfao, Alberto
Format: Article
Language:English
Subjects:
algorithms
automation
Biological and medical sciences
biomedical research
Biomedical Research - methods
Biomedical Research - trends
Biotechnology
Clinical Laboratory Techniques - methods
Clinical Laboratory Techniques - trends
Computers
Data analysis
data visualization
Flow cytometry
Flow Cytometry - methods
Flow Cytometry - trends
Fundamental and applied biological sciences. Psychology
Humans
immunophenotype
instrumentation
Internal Medicine
Laboratories
Medical research
multiparameter flow cytometry
Principal components analysis
Statistical methods
Statistics as Topic - methods
Statistics as Topic - trends
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Description
Summary:Highlights • Polychromatic flow cytometry generates increasingly complex n -dimensional data sets. • New tools are being created for objective flow cytometry data analysis/interpretation. • Full automation of data analysis remains a challenge.
ISSN:0167-7799
1879-3096
DOI:10.1016/j.tibtech.2013.04.008