Particle distribution dynamics in nonlinear bifurcating networks

Introduction

Bifurcating networks are ubiquitous in nature, such as vasculature/pulmonary networks, kidney urinary tract, and branching in plants. In addition to their role of transporting the carrying fluid, these networks distribute discrete particles suspended in the fluid, leading to intricate spatiotemporal particle flow dynamics.

Background

The heterogeneous distribution of red blood cells (RBC) in microcirculation is an example of this behavior, the consequences of which are not well understood. Our objective is to explain the fundamental principles and implications of nonuniform particle distributions in bifurcating networks using RBC flow in vasculature as a model system.

Currently, there is no systematic approach to study such complex particle distribution dynamics. We propose using droplet microfluidics as an analogue of the biological network. Microfluidics provide superb control of the droplets/particles, carrying fluid, and network properties in highly engineered microfabricated devices.

Research Goals

We aim to understand RBC distribution patterns in the capillary network and the consequences during vascularization and organogenesis. Our approach includes:

1. Observing the in vivo RBC fractionation in chick embryo vasculature.
2. Developing its in vitro analogue using droplet microfluidics.
3. Developing an in silico model and determining the governing parameters.

Expected Outcomes

This project will discover the foundations of particle transport phenomena in nonlinear bifurcating networks and address the long-lasting question of RBC nonuniformity in microcirculation and its implications as a groundbreaking contribution.

Another key outcome will be correlating RBC heterogeneity to corresponding organ growth by visualizing two bifurcating networks simultaneously: vasculature and urinary tree, using kidney organoid xenotransplantation.

Impact

The project will advance:

1. The fundamental understanding of particle distribution in nonlinear bifurcating networks.
2. The research in vascularization and artificial kidney development.