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Cryo-IEF
westlake-repl/Cryo-IEF
Cryo-IEF is a image feature extraction model from westlake-repl. Use it for the image feature extraction task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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 techniqu…
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Updated Aug 10, 2026
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At a glance
- Task
- Image Feature Extraction
- License
- mit
- Access
- Public
- Created
- May 26, 2025
- Updated
- Aug 10, 2026
- SHA
- c259a597
Model card
From the Hugging Face model README
A comprehensive foundation model for cryo-EM image processing
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.
<a href="https://doi.org/10.1101/2024.11.04.621604"><img src="https://img.shields.io/badge/Paper-bioRxiv-green" style="max-width: 100%;"></a> <a href="https://github.com/westlake-repl/Cryo-IEF"><img src="https://img.shields.io/badge/GitHub%20Pages-121013?logo=github&logoColor=white" style="max-width: 100%;"></a>
- Task
- Image Feature Extraction
- License
- mit
- Created
- May 26, 2025
- Updated
- Aug 10, 2026