High-Throughput Analysis of Clinical Flow Cytometry Data by Automated Gating.

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

SUBMITTER: Lee H 

PROVIDER: S-EPMC6448119 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature