Accession Number:

AD1003131

Title:

A Novel Statistical Analysis and Interpretation of Flow Cytometry Data

Descriptive Note:

Journal Article

Corporate Author:

North Carolina State University Raleigh United States

Personal Author(s):

• Banks,H. T.
• Kapraun,D. F.
• Thompson,W. C.
• Peligero,Cristina
• Argilaguet,Jordi
• Meyerhans,Andreas

Report Date:

2013-03-31

Pagination or Media Count:

39.0

Abstract:

A recently developed class of models incorporating the cyton model of population generation structure into a conservation-based model of intracellular label dynamics is reviewed. Statistical aspects of the data collection process are quantified and incorporated into a parameter estimation scheme. This scheme is then applied to experimental data for PHA-stimulated CD4 T and CD8 T cells collected from two healthy donors. This novel mathematical and statistical framework is shown to form the basis for accurate, meaningful analysis of cellular behavior for a population of cells labeled with the dye CFSE and stimulated to divide.

Descriptors:

• mathematical models
• FLUORESCENT DYES
• cell division
• DATA ACQUISITION
• CYTOLOGICAL TECHNIQUES
• Statistical Analysis

Subject Categories:

Distribution Statement:

APPROVED FOR PUBLIC RELEASE