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):
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