强大的投影参数校准在冷-ET与L1-规范优化

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Updated: May 9, 2025

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging
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Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Published on: July 12, 2022

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Shengkai Guo1, Zihe Xu1, Xinyan Li1

  • 1Frontiers Science Center for Nonlinear Expectations (Ministry of Education), Research Center for Mathematics and Interdisciplinary Sciences; Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao 266237, China.

Ultramicroscopy
|May 6, 2025
PubMed
概括

这项研究引入了一种新的强大的冷电子断层扫描 (cryo-ET) 对齐方法,通过在拉普拉斯噪声假设下使用L1-规范优化来改进投影参数校准,以获得更准确的结果.

关键词:
克里奥-ET-ET可以使用.基于信托标记器的对齐方式标准的优化标准的优化.平的近似值是如何实现的

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