@article{Hinderling2026SmartMicroscopy,
	title = {Smart microscopy: current implementations and a roadmap for interoperability},
	author = {Hinderling, Lucien and Heil, Hannah S. and Rates, Alfredo and Seidel, Philipp and Kesavan, P.S. and Gunkel, Manuel and Diederich, Benedict and Guilbert, Thomas and Torro, R{\'e}my and Bouchareb, Otmane and Demeautis, Claire and Martin, C{\'e}lia and Brooks, Scott and Sisamakis, Evangelos and Grandgirard, Erwan and Mutterer, Jerome and Oatman, Harrison and Toettcher, Jared and Rogov, Andrii and Antonovaite, Nelda and Johansson, Karl and Ahnlinde, Johannes K. and Andr{\'e}, Oscar and Nordenfelt, Philip and Nordenfelt, Pontus and Pfander, Claudia and Reymann, J{\"u}rgen and Lambert, Talley and Cosenza, Marco R. and Korbel, Jan O. and Pepperkok, Rainer and Kapitein, Lukas C. and Pertz, Olivier and Norlin, Nils and Halavatyi, Aliaksandr and Camacho, Rafael},
	journal = {Methods in Microscopy},
	volume = {3},
	number = {1},
	pages = {71--91},
	doi = {10.1515/mim-2025-0029},
	url = {https://doi.org/10.1515/mim-2025-0029},
	year = {2026},
	month = feb,
	publisher = {De Gruyter},
	abstract = {Smart microscopy integrates real-time image analysis and feedback control into the imaging process to automate workflows, improve throughput, and enable adaptive experiments. By responding dynamically to biological events, smart microscopy systems can adjust acquisition parameters, such as magnification, illumination, or regions of interest. This review compiles representative implementations and technical strategies in the field, discusses technical and organizational barriers to interoperability, and presents a community-driven roadmap toward shared standards and modular software architecture to facilitate broader adoption and reusability.}
}