Classification of red cell dynamics with convolutional and recurrent neural networks: a sickle cell disease case study

Abstract The fraction of red blood cells adopting a specific motion under low shear flow is a promising inexpensive marker for monitoring the clinical status of patients with sickle cell disease. Its high-throughput measurement relies on the video analysis of thousands of cell motions for each blood...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Maxime Darrin, Ashwin Samudre, Maxime Sahun, Scott Atwell, Catherine Badens, Anne Charrier, Emmanuèle Helfer, Annie Viallat, Vincent Cohen-Addad, Sophie Giffard-Roisin
Format:	Article
Language:	English
Published:	Nature Portfolio 2023-01-01
Online Access:	https://doi.org/10.1038/s41598-023-27718-w