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一种用于倾斜序列数据的相干周期图平均以改进对比度传递函数估计的方法。

An approach for coherent periodogram averaging of tilt-series data for improved contrast transfer function estimation.

作者信息

Khavnekar Sagar, Wan William

机构信息

Max Planck Institute of Biochemistry, Martinsried, Germany.

Department of Biochemistry and Center for Structural Biology, Vanderbilt University, Nashville, TN, USA.

出版信息

FEBS Open Bio. 2025 May 8. doi: 10.1002/2211-5463.70050.

Abstract

Cryo-electron microscopy (cryo-EM) has become an indispensable technique for determining three-dimensional structures of biological macromolecules. A critical aspect of achieving high-resolution cryo-EM reconstructions is accurately determining and correcting for the microscope's contrast transfer function (CTF). The CTF introduces defocus-dependent distortions during imaging; if not properly accounted for, the CTF can distort features in and limit the resolution of 3D reconstructions. For tilt-series data used in cryo-electron tomography (cryo-ET), CTF estimation becomes even more challenging due to the tilt of the specimen, which introduces a defocus gradient across the field of view, as well as the low dose and signal in individual tilt images. Here, we describe a simple algorithm to improve the accuracy of CTF estimation of tilted images by leveraging the tilt-series alignment parameters determined for tomographic reconstruction to explicitly account for the tilted specimen geometry. In brief, each tilt image is divided into patches, each of which are then stretched according to their defocus shift. These are then summed to provide a coherent power spectrum at the tilt axis, which can then be used in standard CTF estimation algorithms. This uses all the data in each image to enhance the visibility of Thon rings, thereby improving high-resolution CTF estimation and subsequent enhancements in the resolution of subtomogram averages.

摘要

冷冻电子显微镜(cryo-EM)已成为确定生物大分子三维结构不可或缺的技术。实现高分辨率冷冻电子显微镜重建的一个关键方面是准确确定并校正显微镜的对比度传递函数(CTF)。CTF在成像过程中会引入与散焦相关的失真;如果处理不当,CTF会扭曲三维重建中的特征并限制其分辨率。对于冷冻电子断层扫描(cryo-ET)中使用的倾斜系列数据,由于样品的倾斜会在整个视野中引入散焦梯度,以及单个倾斜图像中的低剂量和信号,CTF估计变得更具挑战性。在这里,我们描述了一种简单的算法,通过利用为断层重建确定的倾斜系列对齐参数来明确考虑倾斜样品的几何形状,从而提高倾斜图像CTF估计的准确性。简而言之,每个倾斜图像被分成小块,然后根据它们的散焦偏移对每个小块进行拉伸。然后将这些小块相加,以在倾斜轴上提供一个相干功率谱,然后可将其用于标准CTF估计算法。这利用了每个图像中的所有数据来增强Thon环的可见性,从而改善高分辨率CTF估计以及随后子断层平均分辨率的提高。

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