Scheres Sjors H W
MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Francis Crick Avenue, Cambridge CB2 0QH, UK.
J Struct Biol. 2015 Feb;189(2):114-22. doi: 10.1016/j.jsb.2014.11.010. Epub 2014 Dec 6.
The selection of particles suitable for high-resolution cryo-EM structure determination from noisy micrographs may represent a tedious and time-consuming step. Here, a semi-automated particle selection procedure is presented that has been implemented within the open-source software RELION. At the heart of the procedure lies a fully CTF-corrected template-based picking algorithm, which is supplemented by a fast sorting algorithm and reference-free 2D class averaging to remove false positives. With only limited user-interaction, the proposed procedure yields results that are comparable to manual particle selection. Together with an improved graphical user interface, these developments further contribute to turning RELION from a stand-alone refinement program into a convenient image processing pipeline for the entire single-particle approach.
从有噪声的显微照片中选择适合高分辨率冷冻电镜结构测定的颗粒可能是一个繁琐且耗时的步骤。本文提出了一种半自动化的颗粒选择程序,该程序已在开源软件RELION中实现。该程序的核心是一个完全经过对比度传递函数(CTF)校正的基于模板的挑选算法,辅以快速排序算法和无参考二维分类平均以去除假阳性。只需有限的用户交互,所提出的程序就能产生与手动颗粒选择相当的结果。连同改进的图形用户界面,这些进展进一步有助于将RELION从一个独立的精修程序转变为适用于整个单颗粒方法的便捷图像处理流程。