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Updated: Jan 8, 2026

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通过自我监督的重建结构化照明显微镜进行生物友好和高精度超分辨率成像.

Jiahao Liu1, Xue Dong2, Huaide Lu3

  • 1Key Laboratory of Image Processing and Intelligent Control of Ministry of Education of China, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.

Nature methods
|December 13, 2025
PubMed
概括

自主监督重建 (SSR) -SIM通过消除对地面真相数据的需求,推进了活细胞超分辨率显微镜. 这种深度学习方法提高了用于研究动态生物结构的重建精度.

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