Hongkui Zeng

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About

Hongkui Zeng is a pioneering neuroscientist whose work centers on developing high-throughput tools for single-cell characterization in vivo, with a focus on neuronal cell-type classification and structure-function relationships. Her major contributions include the creation of an autonomous patch-clamp robot that revolutionizes in vivo electrophysiology by enabling multiple consecutive recordings without the need for highly skilled human operation—a breakthrough that addresses the longstanding bottleneck of low throughput in traditional patch clamping. This innovation, detailed in her most-cited paper (2019, 45 citations), has significantly advanced the functional characterization of neurons, particularly in the mouse visual cortex. Zeng also developed a robot for high-yield electrophysiology and morphology of single neurons (2017, 20 citations), further enhancing the scalability of single-cell experiments. Her work, though still accumulating citations, has already demonstrated profound impact by democratizing access to precise neuronal measurements, paving the way for large-scale mapping of brain circuits. Zeng’s contributions are notable for merging robotics with neuroscience, offering a transformative approach to understanding the brain’s cellular diversity and functional organization.