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首页> 外文期刊>IEEE/ACM transactions on computational biology and bioinformatics >Intensity-Based Skeletonization of CryoEM Gray-Scale Images Using a True Segmentation-Free Algorithm
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Intensity-Based Skeletonization of CryoEM Gray-Scale Images Using a True Segmentation-Free Algorithm

机译：使用真正的无分段算法的CryoEM灰度图像的基于强度的骨架化

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摘要

Cryo-electron microscopy is an experimental technique that is able to produce 3D gray-scale images of protein molecules. In contrast to other experimental techniques, cryo-electron microscopy is capable of visualizing large molecular complexes such as viruses and ribosomes. At medium resolution, the positions of the atoms are not visible and the process cannot proceed. The medium-resolution images produced by cryo-electron microscopy are used to derive the atomic structure of the proteins in de novo modeling. The skeletons of the 3D gray-scale images are used to interpret important information that is helpful in de novo modeling. Unfortunately, not all features of the image can be captured using a single segmentation. In this paper, we present a segmentation-free approach to extract the gray-scale curve-like skeletons. The approach relies on a novel representation of the 3D image, where the image is modeled as a graph and a set of volume trees. A test containing 36 synthesized maps and one authentic map shows that our approach can improve the performance of the two tested tools used in de novo modeling. The improvements were 62 and 13 percent for Gorgon and DP-TOSS, respectively.
机译：低温电子显微镜是一种实验技术，能够产生蛋白质分子的3D灰度图像。与其他实验技术相比，低温电子显微镜能够可视化大分子复合物，例如病毒和核糖体。在中等分辨率下，原子的位置不可见，并且该过程无法继续进行。由冷冻电子显微镜产生的中等分辨率图像用于在从头建模中得出蛋白质的原子结构。 3D灰度图像的骨架用于解释对从头建模有用的重要信息。不幸的是，并非可以使用单个分割来捕获图像的所有特征。在本文中，我们提出了一种无分割的方法来提取灰度曲线状骨架。该方法依赖于3D图像的新颖表示，其中将图像建模为图形和一组体积树。包含36个合成图和一个真实图的测试表明，我们的方法可以提高从头建模中使用的两个经过测试的工具的性能。 Gorgon和DP-TOSS的改进分别为62％和13％。

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