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Updated: Jun 5, 2026

Microfluidic Model to Mimic Initial Event of Neovascularization
Published on: April 10, 2021
Blood flow in microvascular networks: a study in nonlinear biology
John B Geddes1, Russell T Carr, Fan Wu
1Olin College of Engineering, Needham, Massachusetts 02492, USA. john.geddes@olin.edu
Abstract:
Plasma skimming and the Fahraeus-Lindqvist effect are well-known phenomena in blood rheology. By combining these peculiarities of blood flow in the microcirculation with simple topological models of microvascular networks, we have uncovered interesting nonlinear behavior regarding blood flow in networks. Nonlinearity manifests itself in the existence of multiple steady states. This is due to the nonlinear dependence of viscosity on blood cell concentration. Nonlinearity also appears in the form of spontaneous oscillations in limit cycles. These limit cycles arise from the fact that the physics of blood flow can be modeled in terms of state dependent delay equations with multiple interacting delay times. In this paper we extend our previous work on blood flow in a simple two node network and begin to explore how topological complexity influences the dynamics of network blood flow. In addition we present initial evidence that the nonlinear phenomena predicted by our model are observed experimentally.
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