• DocumentCode
    1709577
  • 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
  • fYear
    2003
  • Firstpage
    244
  • Lastpage
    245
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of
  • Print_ISBN
    0-7803-7767-2
  • Type

    conf

  • DOI
    10.1109/NEBC.2003.1216084
  • Filename
    1216084