Microscope control with a natural language agent

Marin, Z.; Abouelezz, A.; Duque de Estrada, N. M. C.; Schweighofer, S. V.; Hauser, F.; Koestinger, L. T.; Manjunath, A.; Stuurman, N.; Schueder, F.; Ries, J.

doi:10.64898/2026.09.15.751723

bioRxiv · 10.64898/2026.09.15.751723

Microscope control with a natural language agent

Marin, Z.·Abouelezz, A.·Duque de Estrada, N. M. C.·Schweighofer, S. V.·Hauser, F.·Koestinger, L. T.·Manjunath, A.·Stuurman, N.·Schueder, F.·Ries, J.

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Abstract

Microscopy underpins modern biology, but acquiring high-quality data from complex experiments at scale remains challenging. Smart microscopy can standardize and automate data collection, but each experiment-specific solution requires coding expertise and development time. To address this, we present MicroClaw, an AI agent that advises on experiment- and system-specific parameters and approaches and collaboratively plans and executes diverse, complex, and reusable imaging workflows across microscope platforms, without requiring expert knowledge.

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Marin, Z., Abouelezz, A., Duque de Estrada, N. M. C., Schweighofer, S. V., Hauser, F., Koestinger, L. T., Manjunath, A., Stuurman, N., Schueder, F., Ries, J.. 2026-09-17. Microscope control with a natural language agent. https://doi.org/10.64898/2026.09.15.751723

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