Determining Regions of Interest in Flow Cytometric Data

J. Quinn, L. H. Loo, R. Achuthanandam, P. Bugelski, R. Capocasale, M. Kam, L. Hrebien

Research output: Contribution to journalConference articlepeer-review

Abstract

Fluorescence Activated Cytometry, or Flow Cytometry is a standard research tool with a wide range of applications. Analysis of Flow data currently relies on expert decision-making based on heuristic rules. In this study, we automate the process and test our procedures on a commonly used hematopoietically active drug. The centerpiece of the automated method is common characteristic removal to identify cell populations of interest. The cell populations that are identified undergo statistical analysis to determine if there is a shift in population means, spreads, or enumeration across treatment groups. This information is used to identify populations that are affected by a treatment from those that are not, and make a quantitative characterization of the populations in which changes occur.

Original languageEnglish (US)
Pages (from-to)1307-1310
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
StatePublished - 2003
Externally publishedYes
EventA New Beginning for Human Health: Proceddings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: Sep 17 2003Sep 21 2003

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Keywords

  • Common Characteristic Removal
  • Flow Cytometry

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