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项目描述

EMAN is a scientific image processing suite with
full Python bindings. While it is mainly
designed to perform single-particle
reconstructions of individual molecules, it may
also have uses for many other imaging methods.
Single particle reconstruction is a method where
projection images of individual molecules in random
orientations are processed to produce a 3D structure
of the molecule in question. The library can process
1-3 dimensional data in a variety of formats, including
a variety of Fourier and real-space filters and many
more esoteric image processing routines.

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2007-02-23 08:35 Back to release list
1.8

大有改进，在refine2d.py。使用所有新的数据集refine2d.py强烈建议。某些程序使用的参数，即“计划EMAN2风格<文件-选项=值”，而不是旧的风格，“计划<文件>选项=值”。有一个新的HDF5格式，EMAN2兼容。新的医疗事故项目增加了，如“骨架”。增加了新的方案，使改进工作，更好的大型二十面体的对象。在并行的基础设施得到改善，但与网络相关的问题可能依然存在。随机模型在makeinitialmodel.py一代是固定的。
标签: Minor feature enhancements
Substantial improvements were made in refine2d.py. Using refine2d.py on all new data sets is strongly suggested. Some programs use the EMAN2 style of arguments, i.e. "program &lt;file> --option=value", rather than the old style, "program &lt;file> option=value". There is a new HDF5 format compatible with EMAN2. New AIRS programs were added, such as "skeleton". New options were added to make refinement work better on large icosahedral objects. The parallelism infrastructure was improved, though network-related problems may still exist. Random model generation in makeinitialmodel.py was fixed.

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