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

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 artificial...

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Detalles Bibliográficos
Autores principales: Demagny, Julien, Roussel, Camille, Le Guyader, Maïlys, Guiheneuf, Eric, Harrivel, Véronique, Boyer, Thomas, Diouf, Momar, Dussiot, Michaël, Demont, Yohann, Garçon, Loïc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404284/
https://www.ncbi.nlm.nih.gov/pubmed/35986949
http://dx.doi.org/10.1016/j.ebiom.2022.104209

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404284/
https://www.ncbi.nlm.nih.gov/pubmed/35986949
http://dx.doi.org/10.1016/j.ebiom.2022.104209

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