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Markerauto2:一种快速、稳健的全自动基于标记点的倾斜系列配准软件,用于电子断层扫描。

Markerauto2: A fast and robust fully automatic fiducial marker-based tilt series alignment software for electron tomography.

机构信息

Frontiers Science Center for Nonlinear Expectations (Ministry of Education), Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao 266237, China; School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.

School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.

出版信息

Structure. 2024 Sep 5;32(9):1507-1518.e5. doi: 10.1016/j.str.2024.05.020. Epub 2024 Jun 26.

Abstract

Cryoelectron tomography (cryo-ET) has become an indispensable technology for visualizing in situ biological ultrastructures, where the tilt series alignment is the key step to obtain a high-resolution three-dimensional reconstruction. Specifically, with the advent of high-throughput cryo-ET data collection, there is an increasing demand for high-accuracy and fully automatic tilt series alignment, to enable efficient data processing. Here, we propose Markerauto2, a fast and robust fully automatic software that enables accurate fiducial marker-based tilt series alignment. Markerauto2 implements the following novel pipelines: (1) an accelerated high-precision fiducial marker detection with wavelet multiscale template, (2) an ultra-fast and robust fiducial marker tracking supported by hashed geometric features, (3) a high-angle fiducial marker supplementation strategy to produce more complete tracks, and (4) a precise and robust calibration of projection parameters with group-weighted parameter optimization. Comprehensive experiments conducted on both simulated and real-world datasets demonstrate the robustness, efficiency, and effectiveness of the proposed software.

摘要

低温电子断层扫描(cryo-ET)已成为可视化原位生物超微结构的不可或缺的技术,其中倾斜系列对准是获得高分辨率三维重建的关键步骤。具体而言,随着高通量 cryo-ET 数据采集的出现,对高精度和全自动倾斜系列对准的需求不断增加,以实现高效的数据处理。在这里,我们提出了 Markerauto2,这是一种快速而强大的全自动软件,能够实现基于基准标记的精确倾斜系列对准。Markerauto2 实现了以下新颖的流水线:(1)使用小波多尺度模板加速高精度基准标记检测,(2)通过哈希几何特征支持超快速和强大的基准标记跟踪,(3)采用高角度基准标记补充策略来生成更完整的轨迹,以及(4)通过分组加权参数优化进行精确和稳健的投影参数校准。在模拟和真实数据集上进行的综合实验证明了该软件的稳健性、效率和有效性。

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