Self-supervised learning for generalizable particle picking in cryo-EM micrographs
Summary: We present cryoelectron microscopy masked autoencoder (cryo-EMMAE), a self-supervised method designed to overcome the need for manually annotated cryo-EM data. cryo-EMMAE leverages the representation space of a masked autoencoder to pick particle pixels through clustering of the MAE latent...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Elsevier
2025-07-01
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| Serier: | Cell Reports: Methods |
| Fag: | |
| Online adgang: | http://www.sciencedirect.com/science/article/pii/S2667237525001250 |
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