High-resolution single-particle orientation refinement based on spectrally self-adapting common lines
High-resolution single-particle orientation refinement based on spectrally self-adapting common lines
复制标题
DOI：
10.1016/j.jsb.2009.04.009
复制
发表时间：
2009-07-01
影响因子：
3
通讯作者：
Elmlund, Hans
中科院分区：
文献类型：
--
作者：
Elmlund, Dominika;Elmlund, Hans
对于具有低对称性或无内部对称性的粒子，以及对于具有低信噪比（SNR）的图像，由于用于取向搜索的评分函数中存在假极大值，从单分子电子显微图像确定三维（3D）结构可能很困难。为了提高取向参数精修对噪声和较差的起始重建质量的稳健性，我们开发了一种在傅里叶空间中基于公共线的取向搜索方法。傅里叶空间公式能够将分辨率（低通极限的空间频率）作为一个变量包含在内，该变量以依赖于粒子的自适应方式进行调整。该方法允许将潜在的3D结构估计到高分辨率，并且仅需要一个粗略的低分辨率重建作为精修的起点。该方法的基准测试是在实验数据和合成数据上进行的。（C）2009爱思唯尔公司。保留所有权利。
Three-dimensional (3D) structure determination from electron microscopic images of single molecules can be difficult for particles with low or no internal symmetry, and for images with low signal-to-noise ratio (SNR), due to the existence of false maxima in the scoring function used for orientation search. In attempt to improve robustness of orientation parameter refinement towards noise and poor starting reconstruction quality, we have developed a method for common lines-based orientation search in Fourier space. The Fourier-space formulation enables inclusion of resolution (spatial frequency of the low-pass limit) as a variable that is adjusted in a particle-dependent, self-adaptive manner. The method allows for the underlying 3D structure to be estimated to high resolution, and requires only a crude, low-resolution reconstruction as starting-point for refinement. Benchmarking of the method is performed on experimental and synthetic data. (C) 2009 Elsevier Inc. All rights reserved.