A fast cross-validation method for alignment of electron tomography images based on Beer-Lambert law.
A fast cross-validation method for alignment of electron tomography images based on Beer-Lambert law.
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DOI：
10.1016/j.jsb.2015.10.004
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发表时间：
2015-11
影响因子：
3
通讯作者：
Jiang W
中科院分区：
文献类型：
--
作者：
Yan R;Edwards TJ;Pankratz LM;Kuhn RJ;Lanman JK;Liu J;Jiang W
在电子层析成像中，倾斜序列的精确对准是实现高分辨率3D重建的重要步骤。然而，尽管已经报道了许多对准方法，但是对准质量的定量评估仍然是一个具有挑战性的问题。在这里，我们报告了一种快速，准确的方法，tomoAlignEval，基于比尔-朗伯定律，用于评价对齐质量。我们的方法是能够全局估计的对准精度，通过测量的光束强度衰减在不同的倾斜角度的对数线性关系的良好性。实验数据的广泛测试证明了其对染色和冷冻样品的稳健性能。我们的方法不仅是显着更快，但也更灵敏，比测量的断层图像分辨率使用傅立叶壳相关方法（FSCe/o）。从这些测试中，我们还得出结论，虽然目前的对齐方法是足够准确的染色样品，不准确的对齐仍然是一个主要的限制，高分辨率冷冻电子断层扫描。
In electron tomography, accurate alignment of tilt series is an essential step in attaining high-resolution 3D reconstructions. Nevertheless, quantitative assessment of alignment quality has remained a challenging issue, even though many alignment methods have been reported. Here, we report a fast and accurate method, tomoAlignEval, based on the Beer-Lambert law, for the evaluation of alignment quality. Our method is able to globally estimate the alignment accuracy by measuring the goodness of log-linear relationship of the beam intensity attenuations at different tilt angles. Extensive tests with experimental data demonstrated its robust performance with stained and cryo samples. Our method is not only significantly faster but also more sensitive than measurements of tomogram resolution using Fourier shell correlation method (FSCe/o). From these tests, we also conclude that while current alignment methods are sufficiently accurate for stained samples, inaccurate alignments remain a major limitation for high resolution cryo-electron tomography.