Analysis of flow cytometric data

John Quinn, Li Hsin Loo, Renold Capocasale, Peter Bugelski, Moshe Kam, Leonid Hrebien

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)244-245
Number of pages2
JournalBioengineering, Proceedings of the Northeast Conference
StatePublished - Jan 1 2003
Externally publishedYes
EventProceedings of the IEEE 29th Annual Northeast Bioengineering Conference - Newark, NJ, United States
Duration: Mar 22 2003Mar 23 2003

All Science Journal Classification (ASJC) codes

  • Bioengineering

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