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Simultaneous Five-Six Color Multiparameter Analysis

  • Kenneth J. Pennline
Part of the Methods in Molecular Biology™ book series (MIMB, volume 91)

Abstract

The development of simultaneous multiparameter analysis protocols has facilitated the use of flow cytometry in many diverse and complex research and clinical programs. This effort has been advanced by the availability of a wide range of fluorochrome-conjugated antibody reagents and the use of fluorescent particles and probes that can be employed for the analysis of numerous antigens that define cell type and function in many diverse applications. These include clinical diagnoses and monitoring of disease states (1,2), bone marrow progenitor cell isolation (3), ion flux measurements (4), nucleic acid quantitation (5,6), cell migration (7), metabolic activation (8) and routine phenotyping (9). In addition, technical advances in flow cytometric instrumentation have allowed investigators to perform more complex experiments requiring the acquisition of an increasing number of parameters. Correlation of the multiparametric data obtained from these studies significantly increases the accuracy in identifying and defining selected subpopulations in a hetergeneous cell suspension. On the other hand, multicolor immunofluorescence may also be advantageous when cell numbers are limited. Typically, peripheral blood or lymphoid tissues provide a high cell number with which multiparametric determinations can be obtained easily when stained for two-, three-, four-, or five-color analysis. However, extensive flow cytometric analysis of samples with relatively few cells (i.e., fine needle aspirates, lung lavages) would necessitate simultaneous multiparametric determinations consisting of five- and possibly six-color immunofluorescence.

Keywords

Optical Configuration Fluorescent Reagent Dickinson Immunocytometry System FACS Vantage Multicolor Flow Cytometry 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Humana Press Inc., Totowa, NJ 1998

Authors and Affiliations

  • Kenneth J. Pennline
    • 1
  1. 1.Flow Cytometry AssociatesBrentwood

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