Understanding Malaria Induced Red Blood Cell Deformation Using Data-Driven Lattice Boltzmann Simulations
| Authors |
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| Publication date | 2018 |
| Host editors |
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| Book title | Computational Science – ICCS 2018 |
| Book subtitle | 18th International Conference, Wuxi, China, June 11–13, 2018 : Proceedings, Part I |
| ISBN |
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| ISBN (electronic) |
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| Series | Lecture Notes in Computer Science |
| Event | 18th International Conference on Computational Science, ICCS 2018 |
| Pages (from-to) | 392-403 |
| Number of pages | 12 |
| Publisher | Cham: Springer |
| Organisations |
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| Abstract |
Malaria remains a deadly disease that affected millions of people in 2016. Among the five Plasmodium (P.) parasites which contribute to malaria diseases in humans. P. falciparum is a lethal one which is responsible for the majority of the world-wide-malaria-related deaths. Since the banana-shaped stage V gametocytes play a crucial role in disease transmission, understanding the deformation of single stage V gametocytes may offer deeper insights into the development of the disease and provide possible targets for new treatment methods. In this study we used lattice Boltzmann-based simulations to investigate the effects of the stretching forces acting on infected red blood cells inside a slit-flow cytometer. The parameters that represent the cellular deformability of healthy and malaria infected red blood cells are chosen such that they mimic the deformability of these cells in a slit-flow cytometer. The simulation results show good agreement with experimental data and allow for studying the transportation of malaria infected red blood cell in blood circulation.
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| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1007/978-3-319-93698-7_30 |
| Published at | https://www.iccs-meeting.org/archive/iccs2018/papers/108600393.pdf |
| Downloads |
108600393
(Accepted author manuscript)
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