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考虑到光束诱导的样品运动的冷冻断层扫描倾斜系列对准。

Cryo-tomography tilt-series alignment with consideration of the beam-induced sample motion.

机构信息

Spanish National Research Council (CNB-CSIC), Darwin 3, 28049 Madrid, Spain.

Dept. Biochemistry and Biophysics, University of California, San Francisco, USA.

出版信息

J Struct Biol. 2018 Jun;202(3):200-209. doi: 10.1016/j.jsb.2018.02.001. Epub 2018 Feb 3.

DOI:10.1016/j.jsb.2018.02.001
PMID:29410148
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5949096/
Abstract

Recent evidence suggests that the beam-induced motion of the sample during tilt-series acquisition is a major resolution-limiting factor in electron cryo-tomography (cryoET). It causes suboptimal tilt-series alignment and thus deterioration of the reconstruction quality. Here we present a novel approach to tilt-series alignment and tomographic reconstruction that considers the beam-induced sample motion through the tilt-series. It extends the standard fiducial-based alignment approach in cryoET by introducing quadratic polynomials to model the sample motion. The model can be used during reconstruction to yield a motion-compensated tomogram. We evaluated our method on various datasets with different sample sizes. The results demonstrate that our method could be a useful tool to improve the quality of tomograms and the resolution in cryoET.

摘要

最近的证据表明,在倾斜系列采集过程中样品的束致运动是电子冷冻断层成像术(cryoET)中主要的分辨率限制因素。它导致倾斜系列对准不佳,从而降低了重建质量。在这里,我们提出了一种新的倾斜系列对准和断层重建方法,该方法考虑了倾斜系列中的束致样品运动。它通过引入二次多项式来模拟样品运动,扩展了 cryoET 中的标准基于基准的对准方法。该模型可在重建过程中用于生成运动补偿断层图像。我们在具有不同样本大小的各种数据集上评估了我们的方法。结果表明,我们的方法可能是提高 cryoET 中断层图像质量和分辨率的有用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a94/6167916/1e133d054957/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a94/6167916/73f2b50983f8/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a94/6167916/4ac922043e2e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a94/6167916/132454c40241/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a94/6167916/2217491402a1/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a94/6167916/8dc05053657e/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a94/6167916/29bd7f3a5696/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a94/6167916/1e133d054957/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a94/6167916/73f2b50983f8/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a94/6167916/4ac922043e2e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a94/6167916/132454c40241/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a94/6167916/2217491402a1/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a94/6167916/8dc05053657e/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a94/6167916/29bd7f3a5696/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a94/6167916/1e133d054957/gr7.jpg

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