Article

Quantifying the deformability of malaria-infected red blood cells using deep learning trained on synthetic cells

2022-12-16

Abstract excerpt

Several haematologic diseases, including malaria, diabetes, and sickle cell anaemia, result in a reduced red blood cell deformability. This deformability can be measured using a microfluidic device with channels of varying width. Nevertheless, it is challenging to algorithmically recognise large numbers of red blood cells and quantify their deformability from image data. Deep learning has become the method of choi...

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Literature Corpus work: 7c18b898-87a4-56ed-a3af-9338f60e8c79
DOI: 10.1101/2022.12.16.520724

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