We present the Cryo-EM Image Evaluation Foundation (Cryo-IEF) model, which has been pre-trained on a substantial dataset comprising approximately 65 million cryo-EM particle images using unsupervised learning techniques. Cryo-IEF excels in various cryo-EM data processing tasks, such as classifying particles from different structures, clustering particles by pose, and assessing the quality of particle images. Upon fine-tuning, the model effectively ranks particle images by quality, enabling the creation of CryoWizard—a fully automated single-particle cryo-EM data processing pipeline.

This model is intended for academic research only. Commercial use is prohibited without explicit permission.