2015
DOI: 10.1016/j.mvr.2014.10.001
|View full text |Cite
|
Sign up to set email alerts
|

Numerical simulation of red blood cell distributions in three-dimensional microvascular bifurcations

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
29
0

Year Published

2015
2015
2022
2022

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 48 publications
(29 citation statements)
references
References 34 publications
0
29
0
Order By: Relevance
“…The present assumption is also consistent with the previous knowledge on the Fåhraeus effect. It is noteworthy that these methodological advances take place while, in parallel, efficient simulation methods are emerging to study phase separation of multi-RBC systems in small channels in three dimensions, 14,18,25 which is also highly challenging. 11 We believe that, in the future, cross-fertilization between these experimental and computational approaches will lead to fantastic breakthroughs, the experiments providing insight on the phenomenology and reference data needed to validate the simulations and calibrate their input parameters, and the simulations enabling the study of situations that cannot be experimentally reproduced or of parameters that cannot be experimentally measured, e.g., the trajectory of individual RBCs or the mean velocity profile of the suspending fluid.…”
Section: Discussionmentioning
confidence: 99%
“…The present assumption is also consistent with the previous knowledge on the Fåhraeus effect. It is noteworthy that these methodological advances take place while, in parallel, efficient simulation methods are emerging to study phase separation of multi-RBC systems in small channels in three dimensions, 14,18,25 which is also highly challenging. 11 We believe that, in the future, cross-fertilization between these experimental and computational approaches will lead to fantastic breakthroughs, the experiments providing insight on the phenomenology and reference data needed to validate the simulations and calibrate their input parameters, and the simulations enabling the study of situations that cannot be experimentally reproduced or of parameters that cannot be experimentally measured, e.g., the trajectory of individual RBCs or the mean velocity profile of the suspending fluid.…”
Section: Discussionmentioning
confidence: 99%
“…During their travel in the microcirculation, they experience a cascade of branching vessels. Many numerical studies have been performed in single or multiple bifurcations regarding more or less complex models of blood flow (36)(37)(38)(39)(40)(41). The arterioles are wrapped by smooth muscle cells and are well innervated, so in principle they are capable of controlling their pressure via vasomotion.…”
Section: Atp Release At and After A Bifurcationmentioning
confidence: 99%
“…C, D: High viscosity contrast (experiments with λ =10.3 and simulation with λ =10). effect where cells entering the bifurcation tend to be displaced towards the low flow rate branch compared to fluid streamlines (a fact that slightly reduces the Zweifach-Fung effect) (Barber et al, 2008;Doyeux et al, 2011;Li et al, 2012;Ollila et al, 2013), but this question is still debated (Hyakutake and Nagai, 2015;Xiong and Zhang, 2012).…”
Section: Simulation λ=1mentioning
confidence: 99%