Accession Number:

AD1016785

Title:

A Novel Statistical Analysis and Interpretation of Flow Cytometry Data

Descriptive Note:

Journal Article

Corporate Author:

NORTH CAROLINA STATE UNIV AT RALEIGH RALEIGH United States

Personal Author(s):

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

Report Date:

2013-07-05

Pagination or Media Count:

38.0

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 behaviour for a population of cells labeled with the dye carboxyfluorescein succinimidyl ester and stimulated to divide.

Descriptors:

• immunology
• Statistical analysis
• cells(biology)
• Fluorescence
• Biomedicine
• Mathematical analysis
• detection
• computational science
• differential equations
• mathematical models
• random variables
• experimental data
• immune system
• inverse problems
• probability density functions
• cell division
• convolution integrals

Subject Categories:

Distribution Statement:

APPROVED FOR PUBLIC RELEASE