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

Paper ID Volume ID Publish Year Pages File Format Full-Text
36944 45288 2013 11 PDF Available
Title
Overview of clinical flow cytometry data analysis: recent advances and future challenges
Abstract

•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.

Major technological advances in flow cytometry (FC), both for instrumentation and reagents, have emerged over the past few decades. These advances facilitate simultaneous evaluation of more parameters in single cells analyzed at higher speed. Consequently, larger and more complex data files that contain information about tens of parameters for millions of cells are generated. This increasing complexity has challenged pre-existing data analysis tools and promoted the development of new algorithms and tools for data analysis and visualization. Here, we review the currently available (conventional and newly developed) data analysis and visualization strategies that aim for easier, more objective, and robust interpretation of FC data both in biomedical research and clinical diagnostic laboratories.

Keywords
multiparameter flow cytometry; data analysis; automation; data visualization; immunophenotype
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Publisher
Database: Elsevier - ScienceDirect
Journal: - Volume 31, Issue 7, July 2013, Pages 415–425
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us