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Updated: Sep 13, 2025

Preparation and Observation of Thick Biological Samples by Scanning Transmission Electron Tomography
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深度学习用于未经纠正的扫描传输电子显微镜中的子-ångström分辨率成像

Zanlin Qiu1, Yuan Meng1, Junxian Li1

  • 1School of Materials Science and Engineering, Peking University, Beijing 100871, China.

National science review
|August 4, 2025
PubMed
概括

一个新的深度学习模型,SARDiffuse,可以使用未经纠正的扫描传输电子显微镜 (STEM) 实现子-ångström分辨率成像. 这种具有成本效益的方法提高了图像质量和纠正文物,为偏差纠正STEM提供了替代方案.

关键词:
人工智能的人工智能是人工智能.无声的扩散概率模型超高分辨率成像成像技术传输电子显微镜 传输电子显微镜

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