UNIT 10.4 Multidimensional Data Analysis in Immunophenotyping
Published Online: 1 MAY 2001
Copyright © 2003 by John Wiley and Sons, Inc.
Lab Protocol Title
Current Protocols in Cytometry
How to Cite
Loken, M. R. 2001. Multidimensional Data Analysis in Immunophenotyping. Current Protocols in Cytometry. 00:10.4:10.4.1–10.4.7.
- Published Online: 1 MAY 2001
- Published Print: APR 1997
The complexity of cell populations requires careful selection of reagents to detect cells of interest and distinguish them from other types. Additional reagents are frequently used to provide independent criteria for cell identification. Two or three monoclonal antibodies in combination with forward and right-angle light scatter generate a data set that is difficult to visualize because the data must be represented in four- or five-dimensional space. The separation between cell populations provided by the multiple characteristics is best visualized by multidimensional analysis using all parameters simultaneously to identify populations within the resulting hyperspace. Groups of cells are distinguished based on a combination of characteristics not apparent in any usual two-dimensional representation of the data.