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Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
Published on: January 27, 2023
Inter-laboratory validation of a harmonized PNH flow cytometry assay
Daniel Payne1, Ulrika Johansson2, David Bloxham3
1University Hospitals of Leicester, Leicester Royal Infirmary, Infirmary Square, Leicester, Leicestershire, LE1 5WW, United Kingdom.
Background:
A network comprising 11 laboratories aimed to consolidate PNH testing by developing and validating an assay guided by previous guidelines and studies. Network analyses of >20 native samples yielded key findings that were used to create and reshape the final protocol.
Methods:
Twenty-seven native samples were distributed to all participating laboratories for blind testing, local analysis, and subsequent re-analysis by a central laboratory. Inter-laboratory clone size precision (coefficient of variation [CV]) was monitored for each sample, and the findings used to refine the test protocol. Linearity and precision tests were performed, assay limits of blank and detection were calculated, and limits of quantification were determined.
Results:
When using the final protocol, enumeration of cells with a PNH phenotype by all participating laboratories was comparable, with no clinically significant discrepancies or false-positive or false-negative results reported. Of note, the biological characteristics of the sample affected precision. For example, CVs were higher when PNH and normal cells showed contiguous expression of GPI-linked antigens. A red cell gating strategy that eliminated non-specific type II PNH phenotypic events was devised, enabling reliable reporting of events in the type II red cell gate. The final protocol provided an assay with a Limit of Quantification of 0.01% for neutrophils and red cells, and 0.1% for monocytes.
Conclusions:
We describe a robust network-validated PNH assay that may aid other laboratories to set up and validate high resolution PNH analysis. © 2018 International Clinical Cytometry Society.
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