FEM: feature-enhanced map.
FEM: feature-enhanced map.
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FEM：功能增强的地图。
DOI：
10.1107/s1399004714028132
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发表时间：
2015-03
期刊：
影响因子：
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通讯作者：
Adams PD
中科院分区：
文献类型：
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作者：
Afonine PV;Moriarty NW;Mustyakimov M;Sobolev OV;Terwilliger TC;Turk D;Urzhumtsev A;Adams PD
非迭代特征增强方法通过减少模型偏差和噪声并增强现有信号来提高晶体图谱的可解释性。提出了一种方法，该方法修改了2m Fobs − D F模型σ A加权映射，使得所得到的映射可以加强弱信号（如果存在），并且可以减少模型偏差和噪声。该方法包括首先随机化的起始地图和使用多种方法填充丢失的反射。然后将地图限制在具有令人信服的密度和锐化应用的区域。然后，通过组合一系列直方图均衡化的中间图来创建最终图。在所示的测试用例中，发现与初始2m F obs − D F模型σ A加权图相比，以这种方式生成的图具有更高的可解释性和更低的模型偏差。
The non-iterative feature-enhancing approach improves crystallographic maps’ interpretability by reducing model bias and noise and strengthening the existing signal. A method is presented that modifies a 2m F obs − D F model σA-weighted map such that the resulting map can strengthen a weak signal, if present, and can reduce model bias and noise. The method consists of first randomizing the starting map and filling in missing reflections using multiple methods. This is followed by restricting the map to regions with convincing density and the application of sharpening. The final map is then created by combining a series of histogram-equalized intermediate maps. In the test cases shown, the maps produced in this way are found to have increased interpretability and decreased model bias compared with the starting 2m F obs − D F model σA-weighted map.