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Evaluation of flow cytometry automated data analysis platform performance for rare event detection

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conference contribution
posted on 29.06.2020, 13:13 by Melissa Cheung, Jonathan Campbell, Julian Braybrook, Rob Thomas, Jon Petzing
Flow cytometry is a widely used technique for the detection and quantification of low frequency or rare cell populations at limits of detection (LOD) of 0.1% or lower, such as circulating tumour cells and haematopoietic stem cells. An increasing number of computational tools are available for automated gating of flow cytometry data. These tools have the capability to eliminate operator variation from traditional manual gating. Nevertheless, the potential for variation in data outputs arising from analysis of the same dataset using different algorithms means that research is needed to define the confidence in the use of automated data analysis software platforms for identifying rare cell populations.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Source

EPSRC and MRC CDTs – Future Leaders Virtual Conference 2020

Publisher

UK Society for Biomaterials

Version

AM (Accepted Manuscript)

Acceptance date

01/05/2020

Publication date

2020-06-25

Publisher version

Language

en

Location

Virtual Conference

Event dates

24th June 2020 - 25th June 2020

Depositor

Dr Jon Petzing. Deposit date: 26 June 2020

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