A regression model approach to enable cell morphology correction in high-throughput flow cytometry.

ABSTRACT: Cells exposed to stimuli exhibit a wide range of responses ensuring phenotypic variability across the population. Such single cell behavior is often examined by flow cytometry; however, gating procedures typically employed to select a small subpopulation of cells with similar morphological characteristics make it difficult, even impossible, to quantitatively compare cells across a large variety of experimental conditions because these conditions can lead to profound morphological variations. To overcome these limitations, we developed a regression approach to correct for variability in fluorescence intensity due to differences in cell size and granularity without discarding any of the cells, which gating ipso facto does. This approach enables quantitative studies of cellular heterogeneity

SUBMITTER: Knijnenburg TA 

PROVIDER: S-EPMC3202802 | biostudies-literature | 2011 Sep

REPOSITORIES: biostudies-literature