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Updated: Jan 19, 2026

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
Published on: January 27, 2023
Guidelines for Gating Flow Cytometry Data for Immunological Assays
Janet Staats1, Anagha Divekar2, J Philip McCoy3
1Duke Immune Profiling Core, Duke University Medical Center, Durham, NC, USA.
Flow cytometry gating, the manual selection of cell populations, lacks standardized guidelines. This study provides comprehensive recommendations for consistent and accurate cell subpopulation analysis in immunological assays.
Area of Science:
- Immunology
- Cell Biology
- Biotechnology
Background:
- Flow cytometry gating is crucial for analyzing cell subpopulations.
- Manual gating relies on expert knowledge but suffers from inter-observer variability.
- Existing guidelines are assay-specific, lacking comprehensive coverage for diverse immunological assays.
Purpose of the Study:
- To establish comprehensive guidelines for flow cytometry gating across various immunological assays.
- To address the lack of standardization in manual gating procedures.
- To improve the consistency and accuracy of cell subpopulation analysis.
Main Methods:
- Development of general gating guidelines based on common cell characteristics.
- Inclusion of example data from academic, government, and industry sources.
- Focus on fundamental gating strategies applicable to diverse immunological assays.
Main Results:
- Presentation of recommendations for the most common and critical gating strategies.
- Demonstration of gating principles using representative flow cytometry data.
- Consensus-based approach to guide gating practices.
Conclusions:
- Standardized flow cytometry gating guidelines are essential for reliable immunological assay results.
- These guidelines aim to reduce variability and enhance reproducibility in cell analysis.
- The recommendations are valuable for both novice and experienced researchers in flow cytometry.
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