ArticleBioinformatics and biology insights2019
High-Throughput Analysis of Clinical Flow Cytometry Data by Automated Gating.
Article in Bioinformatics and biology insights, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed.
- Humoral and cellular immunogenicity and safety following a booster dose of a tetravalent dengue vaccine 5+ years after completion of the primary series in Singapore: 2-year follow-up of a randomized phase II, placebo-controlled trial.Human vaccines & immunotherapeutics · 2021Trial
- Automatic classification of circulating blood cell clusters based on multi-channel flow cytometry imaging.Engineering applications of artificial intelligence · 2026Article
- Automated cytotoxicity assessment of natural killer cells by flow cytometry.Frontiers in immunology · 2026Article
- Automatic Classification of Circulating Blood Cell Clusters based on Multi-channel Flow Cytometry Imaging.bioRxiv : the preprint server for biology · 2025Article
- Immune Monitoring after Cell Therapy and Hematopoietic Cell Transplantation: Guidelines by the ISCT Stem Cell Engineering Committee.Cytotherapy · 2025Review
- Using Artificial Intelligence to Interpret Clinical Flow Cytometry Datasets for Automated Disease Diagnosis and/or Monitoring.Methods in molecular biology (Clifton, N.J.) · 2024Article
- flowSim: Near duplicate detection for flow cytometry data.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2023Article
- Full spectrum flow cytometry and mass cytometry: A 32-marker panel comparison.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2022Article
- The role of CD8Clinical rheumatology · 2022Article
- Sputum analysis by flow cytometry; an effective platform to analyze the lung environment.PloS one · 2022Article
- Case-control diagnostic accuracy study of a non-sputum CD38-based TAM-TB test from a single milliliter of blood.Scientific reports · 2021Article
- Article
- Standardization procedure for flow cytometry data harmonization in prospective multicenter studies.Scientific reports · 2020Article
- Machine Learning of Discriminative Gate Locations for Clinical Diagnosis.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2020Article
- Immunobiotic and Paraprobiotic Potential Effect ofMicroorganisms · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advancements in flow cytometers with capability to measure 15 or more parameters have enabled us to characterize cell populations at unprecedented levels of detail. Beyond discovery research, there is now a growing demand to dive deeper into evaluating the immune response in clinical trials for immune modulating compounds. However, for high-volume, complex flow cytometry data generated in clinical trials, conventional manual gating remains the standard of practice. Traditional manual gating is resource intense and becomes a bottleneck and an impractical method to complete high volumes of flow cytometry data analysis. Current efforts to automate "manual gating" have shown that computational algorithms can facilitate the analysis of daunting multi-parameter data; however, a greater degree of precision in comparison with traditional manual gating is needed for wide-scale adoption of automated gating methods. In an effort to more closely follow the manual gating process, our automated gating pipeline was created to include negative controls (Fluorescence Minus One [FMO]) to enhance the reliability of gate placement. We demonstrate that use of an automated pipeline, heavily relying on FMO controls for population discrimination, can analyze multi-parameter, large-scale clinical datasets with comparable precision and accuracy to traditional manual gating.
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Registered trials
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.