@article{a3a825a5de234c51ad6f1e130bb9e4e8,
title = "Rapid diagnosis of hereditary haemolytic anaemias using automated rheoscopy and supervised machine learning",
keywords = "Anemia, Hemolytic, Congenital Nonspherocytic/blood, Anemia, Hemolytic, Congenital/blood, Automation, Blood Viscosity, Datasets as Topic, Erythrocyte Deformability, Erythrocytes, Abnormal/ultrastructure, Humans, Hydrops Fetalis/blood, Image Processing, Computer-Assisted/instrumentation, Pyruvate Kinase/blood, Pyruvate Metabolism, Inborn Errors/blood, Reticulocytes/ultrastructure, Single-Cell Analysis/instrumentation, Supervised Machine Learning",
author = "Moura, \{Pedro L\} and Dobbe, \{Johannes G G\} and Streekstra, \{Geert J\} and Rab, \{Minke A E\} and Martijn Veldthuis and Elisa Fermo and \{van Wijk\}, Richard and \{van Zwieten\}, Rob and Paola Bianchi and Toye, \{Ashley M\} and Satchwell, \{Timothy J\}",
year = "2020",
month = aug,
doi = "10.1111/bjh.16868",
language = "English",
volume = "190",
pages = "e250--e255",
journal = "British Journal of Haematology",
issn = "0007-1048",
publisher = "John Wiley \& Sons Inc.",
number = "4",
}