不完全近似数据下图像的最优迭代重建

J. Gassmann
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摘要

为了确定和改进x射线分析中的相位,已经发展了一种称为“相位校正”或“密度修正”的程序(1,2)。当光谱密度已知时,它适用于所有类型的图像。它已被应用于小分子的各种结构测定,大分子的分辨率扩展,病毒结构的相位改善,以及减少电子显微镜中缺失投影数据的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Iterative Image Reconstruction with Incomplete and Approximate Data
For the determination and improvement of phases in X-ray analysis a procedure called "phase correction" or "density modification" has been developed1,2). It is applicable to all types of images when the spectral density is known. It has been applied to various structure determinations of small molecules3), resolution extension of macro molecules4), phase improvement in a virus structure5) and reduction of the effect of missing projection data in electron microscopy.
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