MBIR：一种 cryo-ET 三维重建方法，可有效减少缺失楔形伪影并恢复缺失信息。
MBIR: A cryo-ET 3D reconstruction method that effectively minimizes missing wedge artifacts and restores missing information.
机构信息
Markey Center for Structural Biology, Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA.
Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
出版信息
J Struct Biol. 2019 May 1;206(2):183-192. doi: 10.1016/j.jsb.2019.03.002. Epub 2019 Mar 11.
Abstract
Cryo-Electron Tomography (cryo-ET) has become an essential technique in revealing cellular and macromolecular assembly structures in their native states. However, due to radiation damage and the limited tilt range, cryo-ET suffers from low contrast and missing wedge artifacts, which limits the tomograms to low resolution and hinders further biological interpretation. In this study, we applied the Model-Based Iterative Reconstruction (MBIR) method to obtain tomographic 3D reconstructions of experimental cryo-ET datasets and demonstrated the advantages of MBIR in contrast improvement, missing wedge artifacts reduction, missing information restoration, and subtomogram averaging compared with other reconstruction approaches. Considering the outstanding reconstruction quality, MBIR has a great potential in the determination of high resolution biological structures with cryo-ET.
摘要
冷冻电子断层扫描（cryo-ET）已成为揭示细胞和大分子组装结构在其自然状态下的基本技术。然而，由于辐射损伤和有限的倾斜范围，cryo-ET 的对比度低，存在缺失楔形伪影，这限制了断层图像的分辨率，并阻碍了进一步的生物学解释。在本研究中，我们应用基于模型的迭代重建（MBIR）方法对实验 cryo-ET 数据集进行断层扫描 3D 重建，并与其他重建方法相比，展示了 MBIR 在对比度改善、缺失楔形伪影减少、缺失信息恢复和子断层平均方面的优势。考虑到出色的重建质量，MBIR 在使用 cryo-ET 确定高分辨率生物结构方面具有巨大潜力。
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