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Accurate flow in augmented networks (AFAN): an approach to generating three-dimensional biomimetic microfluidic networks with controlled flow

机译:增强网络中的精确流(AFAN):一种生成具有受控流的三维仿生微流网络的方法

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In vivo, microvasculature provides oxygen, nutrients, and soluble factors necessary for cell survival and function. The highly tortuous, densely-packed, and interconnected three-dimensional (3D) architecture of microvasculature ensures that cells receive these crucial components. The ability to duplicate microvascular architecture in tissue-engineered models could provide a means to generate large-volume constructs as well as advanced microphysiological systems. Similarly, the ability to induce realistic flow in engineered microvasculature is crucial to recapitulating in vivo-like flow and transport. Advanced biofabrication techniques are capable of generating 3D, biomimetic microfluidic networks in hydrogels, however, these models can exhibit systemic aberrations in flow due to incorrect boundary conditions. To overcome this problem, we developed an automated method for generating synthetic augmented channels that induce the desired flow properties within three-dimensional microfluidic networks. These augmented inlets and outlets enforce the appropriate boundary conditions for achieving specified flow properties and create a three-dimensional output useful for image-guided fabrication techniques to create biomimetic microvascular networks.
机译:在体内,微脉管系统提供细胞存活和功能所需的氧气,营养物质和可溶性因子。微脉管系统高度曲折,密集且相互连接的三维(3D)结构可确保细胞接受这些关键成分。在组织工程模型中复制微血管结构的能力可以提供一种生成大量构建体以及先进的微生理系统的方法。同样,在工程化微脉管系统中诱导现实血流的能力对于概括类体内血流和转运至关重要。先进的生物制造技术能够在水凝胶中生成3D仿生微流控网络,但是,由于边界条件不正确,这些模型可能会显示出系统性的像差。为了克服这个问题,我们开发了一种自动方法,用于生成合成的增强通道,这些通道在三维微流控网络中引发所需的流动特性。这些增加的入口和出口强制执行适当的边界条件以实现指定的流动特性,并创建可用于图像引导制造技术以创建仿生微血管网络的三维输出。

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