Traversing Geodesics to Grow Biological StructuresDownload PDF

Published: 22 Oct 2021, Last Modified: 05 May 2023NeurIPS-AI4Science PosterReaders: Everyone
Keywords: Geodesics, Biological structures, growth, shape manifold
TL;DR: We describe a mathematical framework to discover minimal energy paths to grow complex biological structures
Abstract: Biological tissues reliably grow into precise, functional structures from simple starting states during development. Throughout the developmental process, the energy of a tissue changes depending on its natural resistance to deformations such as stretching, bending, shearing, and torsion. In this paper, we represent tissue structures as shapes and develop a mathematical framework to discover paths on the tissue shape manifold to minimize the total energy during development. We find that paths discovered by gradient descent and the geodesic algorithm outperform naive shape interpolation in energetic terms and resemble strategies observed in development. Broadly, these tools can be used to understand and compare shape transformations in biology and propose optimal strategies for synthetic tissue engineering.
Track: Original Research Track
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