High-dimensional flow cytometry generates a wealth of data. Computational approaches can help to simplify the complexity of large datasets; however these methods must be carefully optimized, and it is ...

By Kelly Rae Chi Let the Data Flow Rethink your data analysis tools for flow cytometry. Since its invention in the 1960s, flow cytometry—a technique used to identify and sort specific populations of ...

John Quinn, Ph.D. Clinical trials and high-throughput flow cytometry produce large amounts of data, leading to an analysis bottleneck unaddressed by commercially available cytometry analysis software.

Subjectivity in flow-cytometry data analysis has long been a challenge. Recent advancements in high-speed camera capabilities have led to the integration of morphological features with traditional ...

Flow cytometry is a diverse and crucial technique in pharma research, used to investigate disease etiology and alterations in immune responses as well as for quantitative pharmacokinetic studies.

Please use one of the following formats to cite this article in your essay, paper or report: APA. P, Surat. (2019, June 28). Flow Cytometry Methodology, Uses, and Data Analysis.

If flow cytometry seems to discharge mere flotsam and jetsam, FlowSOM and other algorithms can salvage meaning, says Cytobank, a software-as-service company that helps analyze single-cell data.