Conference proceeding
Determining regions of interest in flow cytornetric data: A NEW BEGINNING FOR HUMAN HEALTH
PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4, Vol.25, pp.1307-1310
PROCEEDINGS OF ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY
01 Jan 2003
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Determining regions of interest in flow cytornetric data
- Creators
- J QuinnL H LooR AchuthanandanP BugelskiR CapocasaleM KamL HrebienIEEE
- Publication Details
- PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4, Vol.25, pp.1307-1310
- Series
- PROCEEDINGS OF ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY
- Publisher
- IEEE
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; Microbiology and Immunology
- Identifiers
- 991019170387304721
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- Web of Science research areas
- Cardiac & Cardiovascular Systems
- Computer Science, Interdisciplinary Applications
- Engineering, Biomedical
- Medicine, Research & Experimental
- Neurosciences
- Radiology, Nuclear Medicine & Medical Imaging