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About

William Stoy is a pioneering researcher at the intersection of robotics, automation, and electrophysiology, with a focus on transforming one of neuroscience's most demanding techniques — patch-clamp recording — into a scalable, high-throughput methodology. His work addresses a fundamental bottleneck in modern neuroscience: while patch-clamp electrophysiology offers unparalleled resolution for studying single-cell electrical properties, morphology, and genetics, it has traditionally required exceptional skill and yields relatively few recordings. Stoy has tackled this challenge through multiple complementary innovations, including developing methods for cleaning and reusing patch-clamp pipettes (61 citations), engineering the PatcherBot system for automated recordings in adherent cells and brain slices (56 citations), and building autonomous robots capable of performing consecutive in vivo recordings in mouse visual cortex (45 citations). His work on robotic navigation to subcortical tissue (34 citations) further extended these capabilities to deeper brain regions. Collectively, these contributions have helped lay the groundwork for large-scale neuronal cell-type classification and connectivity mapping. With over 200 cumulative citations, Stoy's research represents a significant step toward making single-cell neuroscience more accessible, reproducible, and ultimately transformative for understanding brain function.