FlowClean: Automated identification and removal of fluorescence anomalies in flow cytometry data.

ABSTRACT: Modern flow cytometry systems can be coupled to plate readers for high-throughput acquisition. These systems allow hundreds of samples to be analyzed in a single day. Quality control of the data remains challenging, however, and is further complicated when a large number of parameters is measured in an experiment. Our examination of 29,228 publicly available FCS files from laboratories worldwide indicates 13.7% have a fluorescence anomaly. In particular, fluorescence measurements for a sample over the collection time may not remain stable due to fluctuations in fluid dynamics; the impact of instabilities may differ between samples and among parameters. Therefore, we hypothesized that tracking cell populations (which represent a summary of all parameters) in centered log ratio space would p

SUBMITTER: Fletez-Brant K 

PROVIDER: S-EPMC5522377 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature