Bell James M, Chen Muyuan, Baldwin Philip R, Ludtke Steven J
Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA.
Department of Psychiatry, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA.
Methods. 2016 May 1;100:25-34. doi: 10.1016/j.ymeth.2016.02.018. Epub 2016 Feb 27.
EMAN2.1 is a complete image processing suite for quantitative analysis of grayscale images, with a primary focus on transmission electron microscopy, with complete workflows for performing high resolution single particle reconstruction, 2-D and 3-D heterogeneity analysis, random conical tilt reconstruction and subtomogram averaging, among other tasks. In this manuscript we provide the first detailed description of the high resolution single particle analysis pipeline and the philosophy behind its approach to the reconstruction problem. High resolution refinement is a fully automated process, and involves an advanced set of heuristics to select optimal algorithms for each specific refinement task. A gold standard FSC is produced automatically as part of refinement, providing a robust resolution estimate for the final map, and this is used to optimally filter the final CTF phase and amplitude corrected structure. Additional methods are in-place to reduce model bias during refinement, and to permit cross-validation using other computational methods.
EMAN2.1是一套完整的图像处理软件包,用于灰度图像的定量分析,主要专注于透射电子显微镜,具备执行高分辨率单颗粒重建、二维和三维异质性分析、随机锥形倾斜重建和亚断层平均等任务的完整工作流程。在本论文中,我们首次详细描述了高分辨率单颗粒分析流程及其解决重建问题的方法背后的理念。高分辨率精修是一个完全自动化的过程,涉及一组先进的启发式算法,可为每个特定的精修任务选择最佳算法。作为精修的一部分,会自动生成金标准傅里叶壳层相关(FSC)曲线,为最终图谱提供可靠的分辨率估计,并用于对最终的对比度传递函数(CTF)相位和幅度校正结构进行最佳滤波。还有其他方法可在精修过程中减少模型偏差,并允许使用其他计算方法进行交叉验证。