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bioRxivBioinformaticsPreprint

BioEngine: scalable execution and adaptation of bioimage AI through agent-readable interfaces

Nils MechteliD, Hugo Dettner KällanderiD, Songtao ChengiD, H L ZhangiD, Wei OuyangiD

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Abstract

Foundation models and curated repositories have transformed bioimage AI, yet most biologists cannot readily run, adapt, or extend them on available hardware. BioEngine lls this gap as the execution and adaptation layer between curated AI and scalable compute, deployable on a laptop, workstation, or cluster. Scientists then screen models, ne-tune from the browser, enable real-time smart microscopy, and deploy analysis applications, all by describing their goal to an AI agent.

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