Applications of machine learning for simulations of red blood cells in microfluidic devices

Applications of machine learning for simulations of red blood cells in microfluidic devices

Abstract Background For optimization of microfluidic devices for the analysis of blood samples, it is useful to simulate blood cells as elastic objects in flow of blood plasma. In such numerical models, we primarily need to take into consideration the movement and behavior of the dominant component...

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Bibliographic Details
Main Authors: Hynek Bachratý, Katarína Bachratá, Michal Chovanec, Iveta Jančigová, Monika Smiešková, Kristína Kovalčíková
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Bioinformatics
Subjects:
Red blood cell
Simulation of fluid
Cell trajectories
Microfluidic device
Neural network
Online Access:http://link.springer.com/article/10.1186/s12859-020-3357-5

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http://link.springer.com/article/10.1186/s12859-020-3357-5

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