2023
DOI: 10.1063/5.0139641
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Temporal-spatial heterogeneity of hematocrit in microvascular networks

Abstract: Hematocrit, defined as the volume percentage of red blood cells (RBCs) in blood, is an important indicator of human health status, which demonstrates the capability of blood to deliver oxygen. It has been studied over many decades using in vivo, in vitro, and in silicon experiments, and recent studies have shown that its major feature in microvascular networks is the temporal-spatial heterogeneity. The present work is a numerical study of such temporal-spatial heterogeneity, based on direct simulations of cell… Show more

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Cited by 9 publications
(6 citation statements)
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“…In such in vitro network structures, which often consist of multiple series-connected bifurcations, the CFL in successive bifurcations is crucially impacted by the RBC distribution in the previous bifurcation. 33,34,72,81,82 Merlo et al 72 recently experimentally demonstrated that upstream bifurcations drive the spatial distribution of healthy RBCs in model microfluidic networks. The authors showed that persistent perturbations in the hematocrit profile after diverging bifurcations affect RBC partitioning at the next bifurcations.…”
Section: Discussionmentioning
confidence: 99%
“…In such in vitro network structures, which often consist of multiple series-connected bifurcations, the CFL in successive bifurcations is crucially impacted by the RBC distribution in the previous bifurcation. 33,34,72,81,82 Merlo et al 72 recently experimentally demonstrated that upstream bifurcations drive the spatial distribution of healthy RBCs in model microfluidic networks. The authors showed that persistent perturbations in the hematocrit profile after diverging bifurcations affect RBC partitioning at the next bifurcations.…”
Section: Discussionmentioning
confidence: 99%
“…DPD is a mesoscopic particle-based simulation technique, where each DPD particle represents an aggregate of molecules interacting with others through soft pairwise forces [36, 37]. This method accurately captures the hydrodynamic behavior of fluids at the mesoscale and has proven successful in investigating complex fluid systems [38, 21, 39, 40]. The evolution of computational capabilities in the past two decades has fostered the advancement and application of multiscale biophysical models for RBCs.…”
Section: Methods and Modelsmentioning
confidence: 99%
“…Consequently, we employ a passive model to replicate the deformation of the spleen sinus during cell traversal through the slit. The configuration in Figure 2A depicts an RBC navigating IES, wherein we employ the worm-like string model for the endothelial cell, a model widely utilized in diverse works [63, 64, 65]. The endothelial cell’s surface is represented by a 2D triangulated network comprising N v vertices (DPD particles).…”
Section: Methods and Modelsmentioning
confidence: 99%
“…DPD method and cellular level blood cell models Several computational models of RBCs have been developed in the last two decades to simulate the dynamics of normal and diseased RBCs. Based on their level of complexity, these RBC models can be categorized into the protein-level RBC models [67][68][69][70][71][72][73][74][75][76][77], which are widely used in simulating the pathological alterations of RBC membrane structure in blood disorders, and cellular-level RBC models [72,[78][79][80][81][82][83][84][85], which are mostly used in modeling blood cell suspensions or blood flow. Due to the high computational cost of the protein-level RBC models, we employ a cellular-level model [86] developed based on dissipative particle dynamics (DPD) [87] to simulate the normal and sickle RBCs as well as macrophages (more details on the cellular-level models and the values of model parameters can be found in S1 Text).…”
Section: Methodsmentioning
confidence: 99%