Identifying Vessel Branching from Fluid Stresses on Microscopic Robots

TL;DR

This paper demonstrates how microscopic robots can detect vessel branches by analyzing surface stress patterns caused by fluid flow in low Reynolds number environments, aiding navigation in biological tissues.

Contribution

It introduces a method for microscopic robots to identify vessel branching points using stress measurements derived from fluid flow geometry.

Findings

Microscopic robots can reliably detect vessel branches from surface stress patterns.

Flow-stress relations are sufficient for branch identification in low Reynolds number environments.

The approach enhances navigation capabilities of microscopic robots in biological tissues.

Abstract

Objects moving in fluids experience patterns of stress on their surfaces determined by the geometry of nearby boundaries. Flows at low Reynolds number, as occur in microscopic vessels such as capillaries in biological tissues, have relatively simple relations between stresses and nearby vessel geometry. Using these relations, this paper shows how a microscopic robot moving with such flows can use changes in stress on its surface to identify when it encounters vessel branches.