ReviewFrontiers in immunology2015
An Introduction to Automated Flow Cytometry Gating Tools and Their Implementation.
Review in Frontiers in immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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Who cites it
49 citing papers in PubMed.
- Guidelines for Gating Flow Cytometry Data for Immunological Assays.Methods in molecular biology (Clifton, N.J.) · 2027Article
- ConvexGating infers gating strategies from clusters in single cell cytometry data.Nature communications · 2026Article
- dioscRi enables transferable prediction of clinical outcomes in multi-parameter cytometry data.Nature communications · 2026Article
- A human PBMC-based new approach method reveals PFAS-driven T-cell proliferation and immune dysregulation.Archives of toxicology · 2026Article
- Spatialproteomics: an interoperable toolbox for analyzing highly multiplexed fluorescence image data.Nature methods · 2026Article
- Peripheral immune profiling identifies CD8⁺ TRespiratory research · 2026Article
- Automatic classification of circulating blood cell clusters based on multi-channel flow cytometry imaging.Engineering applications of artificial intelligence · 2026Article
- Automatic Classification of Circulating Blood Cell Clusters based on Multi-channel Flow Cytometry Imaging.bioRxiv : the preprint server for biology · 2025Article
- MLH1 and MSH2 expression in endometrial cancer - microscopic and computer assessment of immunohistochemical method.Histology and histopathology · 2025Article
- Immune Monitoring after Cell Therapy and Hematopoietic Cell Transplantation: Guidelines by the ISCT Stem Cell Engineering Committee.Cytotherapy · 2025Review
- Automated descriptive cell type naming in flow and mass cytometry with CytoPheno.Scientific reports · 2025Article
- Beyond the Limits: How Is Spectral Flow Cytometry Reshaping the Clinical Landscape and What Is Coming Next?Cells · 2025Review
- Tribus: semi-automated discovery of cell identities and phenotypes from multiplexed imaging and proteomic data.Bioinformatics (Oxford, England) · 2025Article
- Article
- TockyLocus: quantitative analysis of flow cytometric fluorescent timer data in Nr4a3-Tocky and Foxp3-Tocky mice.Biology methods & protocols · 2025Article
- A multidimensional toolkit for elucidating temporal trajectories in cell development in vivo.Development (Cambridge, England) · 2024Article
- Current Status of Flow Cytometric Immunophenotyping of Hematolymphoid Neoplasms in Korea.Annals of laboratory medicine · 2024Article
- Immune-monitoring of myelodysplastic neoplasms: Recommendations from the i4MDS consortium.HemaSphere · 2024Article
- Characterization of CD34Cancers · 2024Article
- Guidelines on antibody use in physiology research.American journal of physiology. Renal physiology · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current flow cytometry (FCM) reagents and instrumentation allow for the measurement of an unprecedented number of parameters for any given cell within a homogenous or heterogeneous population. While this provides a great deal of power for hypothesis testing, it also generates a vast amount of data, which is typically analyzed manually through a processing called "gating." For large experiments, such as high-content screens, in which many parameters are measured, the time required for manual analysis as well as the technical variability inherent to manual gating can increase dramatically, even becoming prohibitive depending on the clinical or research goal. In the following article, we aim to provide the reader an overview of automated FCM analysis as well as an example of the implementation of FLOw Clustering without K, a tool that we consider accessible to researchers of all levels of computational expertise. In most cases, computational assistance methods are more reproducible and much faster than manual gating, and for some, also allow for the discovery of cellular populations that might not be expected or evident to the researcher. We urge any researcher who is planning or has previously performed large FCM experiments to consider implementing computational assistance into their analysis pipeline.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.