ArticleNature communications2025
Automated cytometric gating with human-level performance using bivariate segmentation.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- ConvexGating infers gating strategies from clusters in single cell cytometry data.Nature communications · 2026Article
- Reproducible detection of antigen-specific T cells and Tregs via standardized and automated activation-induced marker assay workflows.Cell reports methods · 2026Article
- ImmunoPheno: A Computational Framework for Data-Driven Design and Analysis of Immunophenotyping Experiments.bioRxiv : the preprint server for biology · 2026Article
- Effects of intravenous lipid emulsions on Jurkat cells assessed using label-free deformability cytometry.Scientific reports · 2025Article
- Automated cytometric gating with human-level performance using bivariate segmentation.Nature communications · 2025Article
- Optimal transport reveals immune perturbation and fingerprints over time in COVID-19 vaccination.Experimental biology and medicine (Maywood, N.J.) · 2025Article
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19 authors.
Funding
Abstract
Recent advances in cytometry have enabled high-throughput data collection with multiple single-cell protein expression measurements. The significant biological and technical variance in cytometry has posed a formidable challenge during the gating process, especially for the initial pre-gates which deal with unpredictable events, such as debris and technical artifacts. To mitigate the labor-intensive manual gating process, we propose UNITO, a framework to rigorously identify the hierarchical cytometric subpopulations. UNITO transforms a cell-level classification task into an image-based segmentation problem. The framework is validated on three independent cohorts (two mass cytometry and one flow cytometry datasets). We compare its results with previous automated methods using the consensus of at least four experienced immunologists. UNITO outperforms existing methods and deviates from human consensus by no more than any individual does. UNITO can reproduce a similar contour compared to manual gating for post-hoc inspection, and it also allows parallelization of samples for faster processing.
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Registered trials
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