WikiSysop: Created page with "== Citation == Yan, Y., Fan, S., Yuan, F. and Shen, H. 2025. A comprehensive foundation model for cryo-EM image processing. Nature Methods. 23, (2025), 88–95. == Abstract == Cryogenic electron microscopy (cryo-EM) has become a premier technique for determining high-resolution structures of biological macromolecules. However, its broad application is constrained by the demand for specialized expertise. Here, to address this limitation, we introduce the Cryo-EM Image..."

2026-01-16T15:49:12Z

Created page with "== Citation == Yan, Y., Fan, S., Yuan, F. and Shen, H. 2025. A comprehensive foundation model for cryo-EM image processing. Nature Methods. 23, (2025), 88–95. == Abstract == Cryogenic electron microscopy (cryo-EM) has become a premier technique for determining high-resolution structures of biological macromolecules. However, its broad application is constrained by the demand for specialized expertise. Here, to address this limitation, we introduce the Cryo-EM Image..."

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== Citation ==

Yan, Y., Fan, S., Yuan, F. and Shen, H. 2025. A comprehensive foundation model for cryo-EM image processing. Nature Methods. 23, (2025), 88–95.

== Abstract ==

Cryogenic electron microscopy (cryo-EM) has become a premier technique for determining high-resolution structures of biological macromolecules. However, its broad application is constrained by the demand for specialized expertise. Here, to address this limitation, we introduce the Cryo-EM Image Evaluation Foundation (Cryo-IEF) model, a versatile tool pre-trained on ~65 million cryo-EM particle images through unsupervised learning. Cryo-IEF performs diverse cryo-EM processing tasks, including particle classification by structure, pose-based clustering and image quality assessment. Building on this foundation, we developed CryoWizard, a fully automated single-particle cryo-EM processing pipeline enabled by fine-tuned Cryo-IEF for efficient particle quality ranking. CryoWizard resolves high-resolution structures across samples of varied properties and effectively mitigates the prevalent challenge of preferred orientation in cryo-EM.

== Keywords ==

== Links ==

https://www.nature.com/articles/s41592-025-02916-8

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== Comments ==

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