ClusterAlign:用于厚样本断层扫描的基准跟踪和倾斜序列对齐工具

Biological imaging Pub Date : 2022-08-05 eCollection Date: 2022-01-01 DOI:10.1017/S2633903X22000071
Shahar Seifer, Michael Elbaum
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引用次数: 0

摘要

在低温扫描透射电子断层扫描中,厚标本对传统的重建工作流程提出了特殊的挑战。特征的可见性,包括作为基准标记引入的金纳米颗粒,在倾斜系列中变化很大。因此,为了产生成功的对齐,可能需要繁琐的手工细化。在重建中,必须排除高倾斜视图的信息,以损害轴向分辨率。我们在这里介绍了一种基于识别在旋转中相干变换的基准粒子簇(基本上是那些位于相似深度的粒子簇)的倾斜序列对准方法。集群是通过与单个未倾斜参考的倾斜视图进行比较来识别的,而不是与相邻倾斜视图进行比较。该软件被称为ClusterAlign,在低信噪比和单个基准可见性变化的情况下具有鲁棒性,并且成功地将对准传递到倾斜序列的末端,而其他方法往往无法做到这一点。ClusterAlign可用于生成跟踪基准列表、对齐倾斜序列或执行完整的3D重建。包括通过投影匹配来评估对准误差的工具。执行过程不需要人工干预,并且遵守标准文件格式有助于与其他软件(特别是IMOD/etomo、tomo3d和tomoalign)进行接口。
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ClusterAlign: A fiducial tracking and tilt series alignment tool for thick sample tomography.

Thick specimens, as encountered in cryo-scanning transmission electron tomography, offer special challenges to conventional reconstruction workflows. The visibility of features, including gold nanoparticles introduced as fiducial markers, varies strongly through the tilt series. As a result, tedious manual refinement may be required in order to produce a successful alignment. Information from highly tilted views must often be excluded to the detriment of axial resolution in the reconstruction. We introduce here an approach to tilt series alignment based on identification of fiducial particle clusters that transform coherently in rotation, essentially those that lie at similar depth. Clusters are identified by comparison of tilted views with a single untilted reference, rather than with adjacent tilts. The software, called ClusterAlign, proves robust to poor signal to noise ratio and varying visibility of the individual fiducials and is successful in carrying the alignment to the ends of the tilt series where other methods tend to fail. ClusterAlign may be used to generate a list of tracked fiducials, to align a tilt series, or to perform a complete 3D reconstruction. Tools to evaluate alignment error by projection matching are included. Execution involves no manual intervention, and adherence to standard file formats facilitates an interface with other software, particularly IMOD/etomo, tomo3d, and tomoalign.

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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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