Quantifying the deformability of malaria-infected red blood cells using deep learning trained on synthetic cells-Reference-Cited by-同舟云学术

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

Published:2023-12 Issue:12 Volume:26 Page:108542
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Rademaker Daniel T.,Koopmans Joshua J.,Thyen Gwendolyn M.S.M.,Piruska Aigars,Huck Wilhelm T.S.,Vriend Gert,‘t Hoen Peter A.C.,Kooij Taco W.A.,Huynen Martijn A.,Proellochs Nicholas I.

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference38 articles.

1. World Malaria Report 2021,2021

2. Defining the Essential Exportome of the Malaria Parasite;Jonsdottir;Trends Parasitol.,2021

3. The cellular and molecular rheology of malaria;Cooke;Biorheology,2014

4. Malaria Parasite Proteins and Their Role in Alteration of the Structure and Function of Red Blood Cells;Proellocks;Adv. Parasitol.,2016

5. A switch in infected erythrocyte deformability at the maturation and blood circulation of Plasmodium falciparum transmission stages;Tibúrcio;Blood,2012

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