| 研究実績の概要 |
1. A semi-automated blood flow imaging method was established for high throughput analysis of growth and hemodynamic trends in zebrafish populations. This work provides the overarching spatiotemporal systemic hemodynamic trends and vascular network level adaptations in response to local lumen morphogenesis.
2. We have established a methodology pipeline to predict high resolution distribution of wall shear stress (WSS) and blood pressure in a zebrafish trunk lumen network at 54 hours post-fertilization (hpf). 3D model of the vessel lumen network in silico was constructed from confocal imaging of the fluorescently labelled blood lumen through microangiography. Blood flow map pertaining to the vessel lumen network was reconstructed by our in-house developed CFD code after iterating model boundary conditions to match blood flow velocity data obtained from particle tracking velocimetry of red blood cells (RBCs) under high-speed camera imaging.
3. Hemorheological and lumen size alteration effects on network blood flow and forces: We studied with the CFD, network flow adaptations in response to blood viscosity and RBC concentration changes, namely how network pressure changes under network constraints of blood flow maintenance. The hemodynamic constraints applied in the model were obtained from experimental observations of network flow parameters between wild-type versus altered networks. Additionally, we also showed how different network optimizations can lead to diametrically opposite effects on WSS distribution after lumen size reduction is applied to a network.
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