Yonekura Koji, Toyoshima Chikashi, Maki-Yonekura Saori, Namba Keiichi
Graduate School of Frontier Biosciences, Osaka University, 3-4 Hikaridai, Seika, Kyoto 619-0237, Japan.
J Struct Biol. 2003 Oct-Nov;144(1-2):184-94. doi: 10.1016/j.jsb.2003.09.034.
A set of programs equipped with graphical user interface has been developed for processing individual images in early stages of the three-dimensional helical image reconstruction procedure. These programs can be used for initial screening of suitable image area, straightening the object image, determination of box parameters including the repeat distance, determination of the out-of-plane tilt and initial editing of the layer-line data. These tasks are difficult to automate and therefore very time-consuming. The programs, developed by adopting the concept of the layer-line indexing [Ultramicroscopy 84 (2000) 1-14], are effective for processing many images of filamentous molecular assemblies and especially tubular crystals having various helical classes. Using these programs, higher-resolution signals can be extracted more reliably and quickly, and the time required for processing each image can be reduced to 1/2-1/10. Here also presented is an overview on helical image reconstruction for high-resolution structure analysis.
已经开发了一套配备图形用户界面的程序,用于在三维螺旋图像重建过程的早期阶段处理单个图像。这些程序可用于初步筛选合适的图像区域、校正物体图像、确定包括重复距离在内的盒参数、确定面外倾斜以及对层线数据进行初始编辑。这些任务难以自动化,因此非常耗时。通过采用层线索引概念[《超微结构》84(2000)1 - 14]开发的这些程序,对于处理丝状分子组装体尤其是具有各种螺旋类别的管状晶体的许多图像非常有效。使用这些程序,可以更可靠、快速地提取更高分辨率的信号,并且处理每个图像所需的时间可以减少到1/2 - 1/10。这里还概述了用于高分辨率结构分析的螺旋图像重建。