Three-dimensional alignment of density maps in cryo-electron microscopy.

Biological imaging Pub Date : 2023-03-10 eCollection Date: 2023-01-01 DOI:10.1017/S2633903X23000089
Yael Harpaz, Yoel Shkolnisky
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Abstract

A common task in cryo-electron microscopy data processing is to compare three-dimensional density maps of macromolecules. In this paper, we propose an algorithm for aligning three-dimensional density maps, which exploits common lines between projection images of the maps. The algorithm is fully automatic and handles rotations, reflections (handedness), and translations between the maps. In addition, the algorithm is applicable to any type of molecular symmetry without requiring any information regarding the symmetry of the maps. We evaluate our alignment algorithm on publicly available density maps, demonstrating its accuracy and efficiency. The algorithm is available at https://github.com/ShkolniskyLab/emalign.

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低温电子显微镜中密度图的三维排列
低温电子显微镜数据处理的一个常见任务是比较大分子的三维密度图。在本文中,我们提出了一种对齐三维密度地图的算法,该算法利用地图投影图像之间的公共线。该算法是全自动的,并处理地图之间的旋转,反射(偏手性)和平移。此外,该算法适用于任何类型的分子对称,而不需要任何关于地图对称性的信息。我们在公开可用的密度图上评估了我们的对齐算法,证明了它的准确性和效率。该算法可在https://github.com/ShkolniskyLab/emalign上获得。
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Reconstructing interpretable features in computational super-resolution microscopy via regularized latent search. Algebraic Constraints and Algorithms for Common Lines in Cryo-EM TomoNet: A streamlined cryogenic electron tomography software pipeline with automatic particle picking on flexible lattices. GoldDigger and Checkers, computational developments in cryo-scanning transmission electron tomography to improve the quality of reconstructed volumes Alignment of density maps in Wasserstein distance.
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