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