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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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2025-01-01
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| シリーズ: | Computational and Structural Biotechnology Journal |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S2001037025002570 |
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