Centro Nac. Biotecnología (CSIC), 28049 Cantoblanco, Madrid, Spain; Univ. San Pablo - CEU, Campus Urb. Montepríncipe, 28668 Boadilla del Monte, Madrid, Spain.
Dept. Anatomy and Cell Biology, McGill Univ., Montreal, Canada.
J Struct Biol. 2018 Nov;204(2):329-337. doi: 10.1016/j.jsb.2018.08.002. Epub 2018 Aug 24.
The Map Challenge organized by the Electron Microscopy Data Bank has prompted the development of an Xmipp high resolution reconstruction protocol (which we will refer to as highres) that is integrated in the software platform Scipion. In this work we describe the details of the image angular alignment and map reconstruction steps in our new method. This algorithm is similar to the standard projection matching approach with some important modifications, especially in the area of detecting significant features in the reconstructed volume. We show that the new method is able to produce higher resolution maps than the current de facto standard as measured by the Fourier Shell Correlation, the Monogenic Local Resolution and EMRinger.
电子显微镜数据银行组织的地图挑战赛促使开发了 Xmipp 高分辨率重建协议（我们将其称为 highres），该协议集成在 Scipion 软件平台中。在这项工作中，我们描述了我们新方法中图像角对准和地图重建步骤的详细信息。该算法类似于标准的投影匹配方法，但有一些重要的修改，特别是在重建体积中检测显著特征的区域。我们表明，新方法能够产生比当前事实上的标准更高分辨率的地图，这可以通过傅里叶壳相关、单峰局部分辨率和 EMRinger 来衡量。
