Title :
Analysis of flow cytometric data
Author :
Quinn, John ; Loo, Li-Hsin ; Capocasale, Renold ; Bugelski, Peter ; Kam, Moshe ; Hrebien, Leonid
Author_Institution :
Drexel Univ., PA, USA
Abstract :
Fluorescence Activated Cytometry is a research tool whose potential has yet to be fully exploited. Currently it is used for cluster hunting and cell counting. In this study, we separate cell clusters by identifying local minima in the cell density gradient to identify boundaries between cell types. These clusters were then analyzed for changes in intensity of four parameters marked by fluorescent antibody labels. The results are a statistical analysis of differences in the cell clusters which can be interpreted to understand what changes are occurring in the various cell populations on many levels.
Keywords :
biological techniques; blood; cellular biophysics; fluorescence; statistical analysis; boundaries between cell types identification; cell counting; cell density gradient; cellular constituent; cluster hunting; flow cytometric data analysis; fluorescence activated cytometry; half-log dose steps; hematopoietically active compound; important research tool; local minima identification; quantitative phenotypic analysis; single cell suspension; Analysis of variance; Bones; Data analysis; Gaussian distribution; Mice; Microscopy; Particle measurements; Probability distribution; Strips; Testing;
Conference_Titel :
Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of
Print_ISBN :
0-7803-7767-2
DOI :
10.1109/NEBC.2003.1216084
