Nathan G. Drenkow

This paper introduces a novel method using virtual agents and path-finding to efficiently identify neuron connectivity in electron microscopy images, achieving performance comparable to state-of-the-art methods at lower computational cost.

The paper develops a scalable, reproducible framework for processing large neuroimaging datasets using open-source tools and standardized pipelines.