A physics-driven diffusion foundation model for electron microscopy reconstruction tasks.

EM Generalist is designed to achieve high-fidelity electron microscopy (EM) image reconstruction across diverse imaging conditions.
The model incorporates domain-specific priors into a diffusion framework, enabling robust restoration without the need for pixel-perfect paired training data or task-specific retraining.

This release includes the pretrained model weights for inference and downstream applications.