A labeled dataset for AI-based cryo-EM map enhancement
Cryogenic electron microscopy (cryo-EM) has transformed structural biology by enabling near atomic resolution imaging of macromolecular complexes. However, cryo-EM density maps suffer from intrinsic noise arising from structural sources, shot noise, and digital recording, which complicates accurate...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2025-01-01
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| Серія: | Computational and Structural Biotechnology Journal |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2001037025002570 |
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