Tang Guang, Peng Liwei, Baldwin Philip R, Mann Deepinder S, Jiang Wen, Rees Ian, Ludtke Steven J
National Center for Macromolecular Imaging, Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030, USA.
J Struct Biol. 2007 Jan;157(1):38-46. doi: 10.1016/j.jsb.2006.05.009. Epub 2006 Jun 8.
EMAN is a scientific image processing package with a particular focus on single particle reconstruction from transmission electron microscopy (TEM) images. It was first released in 1999, and new versions have been released typically 2-3 times each year since that time. EMAN2 has been under development for the last two years, with a completely refactored image processing library, and a wide range of features to make it much more flexible and extensible than EMAN1. The user-level programs are better documented, more straightforward to use, and written in the Python scripting language, so advanced users can modify the programs' behavior without any recompilation. A completely rewritten 3D transformation class simplifies translation between Euler angle standards and symmetry conventions. The core C++ library has over 500 functions for image processing and associated tasks, and it is modular with introspection capabilities, so programmers can add new algorithms with minimal effort and programs can incorporate new capabilities automatically. Finally, a flexible new parallelism system has been designed to address the shortcomings in the rigid system in EMAN1.
EMAN是一个科学图像处理软件包，特别专注于从透射电子显微镜（TEM）图像进行单颗粒重建。它于1999年首次发布，自那时起，新版本通常每年发布2至3次。EMAN2在过去两年中一直在开发，拥有一个完全重构的图像处理库，以及广泛的功能，使其比EMAN1更加灵活和可扩展。用户级程序有更好的文档记录，使用起来更直接，并且是用Python脚本语言编写的，因此高级用户可以在不重新编译的情况下修改程序的行为。一个完全重写的3D变换类简化了欧拉角标准和对称约定之间的转换。核心C++库有500多个用于图像处理和相关任务的函数，并且它是模块化的，具有自省功能，因此程序员可以轻松添加新算法，程序可以自动合并新功能。最后，设计了一个灵活的新并行系统来解决EMAN1中刚性系统的缺点。
