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Comparison of lymphocyte immunophenotypes obtained simultaneously from two different data acquisition and analysis
J B Margolick1, E R Scott, K R Chadwick
1Johns Hopkins School of Hygiene and Public Health, Baltimore, Maryland 21205.
Cytometry
|January 11, 1992
Summary
Two flow cytometry analysis systems showed highly comparable results for identifying lymphocyte subsets in human peripheral blood. This ensures reliable immunophenotyping for both HIV-negative and HIV-positive patients.
Area of Science:
- Immunology
- Flow Cytometry
- Clinical Diagnostics
Background:
- Accurate immunophenotyping of lymphocyte populations is crucial for diagnosing and monitoring various immune conditions, including HIV.
- Different data acquisition and analysis systems may yield varying results, necessitating validation for clinical use.
Purpose of the Study:
- To compare the performance of two distinct data acquisition and analysis systems for lymphocyte subset enumeration.
- To assess the concordance of immunophenotyping results obtained from different methods on the same flow cytometer.
Main Methods:
- Parallel immunophenotyping of lymphocyte populations (CD3+, CD4+, CD8+, CD56+, CD16+, TCR-gamma delta+) from 113 human peripheral blood specimens.
- Utilized two systems: EPICS C and 4Cyte-Acmecyte, on a single EPICS C flow cytometer.
- Included both HIV-negative and HIV-positive samples, with some having low CD4+ T-cell counts.
Main Results:
- Both systems demonstrated high agreement (within 2% positive cells in 97% of cases) despite variations in gating and bitmap shapes.
- Statistically significant biases were observed but were deemed small and not biologically significant.
- Results were essentially equivalent for experienced operators on the EPICS C flow cytometer.
Conclusions:
- The EPICS C and 4Cyte-Acmecyte systems provide essentially equivalent results for lymphocyte sub-population analysis in peripheral blood.
- This equivalence supports the reliable use of either system for clinical immunophenotyping by experienced operators.
- The findings validate the consistency of flow cytometry methods for immune status assessment.