Health AI Central
Peer-Reviewed Publication
Methods Mol Biol2027;3087231-258.January 1, 2027Journal Article

Guidelines for Gating Flow Cytometry Data for Immunological Assays.

Janet Staats1, Anagha Divekar2, J Philip McCoy3, Holden T Maecker4
1, Cedar Grove, NC, 27231, USA. janet.staats@gmail.com.
2Department for Cellular Analysis, Biolegend, San Diego, CA, 92121, USA.
3, Brunswick, GA, 31523, USA.
4Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, 94305, USA. maecker@stanford.edu.
PubMed DOI

Abstract

"Gating" refers to the selection of successive sub-populations of cells for analysis in flow cytometry. While automated analysis algorithms have seen a greatly increased use, there is still heavy reliance on manual gating, based on expert knowledge of cell characteristics. This can lead to variability in how gates are applied, even between individuals experienced in the field. For clinical assays,…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.