Combining imaging flow cytometry and machine learning for high-throughput schistocyte quantification: A SVM classifier development and external validation cohort

Combining imaging flow cytometry and machine learning for high-throughput schistocyte quantification: A SVM classifier development and external validation cohort

Summary: Background: Schistocyte counts are a cornerstone of the diagnosis of thrombotic microangiopathy syndrome (TMA). Their manual quantification is complex and alternative automated methods suffer from pitfalls that limit their use. We report a method combining imaging flow cytometry (IFC) and...

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Bibliographic Details
Main Authors: Julien Demagny, Camille Roussel, Maïlys Le Guyader, Eric Guiheneuf, Véronique Harrivel, Thomas Boyer, Momar Diouf, Michaël Dussiot, Yohann Demont, Loïc Garçon
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:EBioMedicine
Subjects:
Schistocyte
Imaging flow cytometry
Machine learning
Thrombotic microangiopathy
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396422003917

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