Efficient Extraction of Macromolecular Complexes from Electron Tomograms Based on Reduced Representation Templates.
Efficient Extraction of Macromolecular Complexes from Electron Tomograms Based on Reduced Representation Templates.
复制标题
基于简化表示模板从电子断层图中有效提取大分子复合物。
DOI：
10.1007/978-3-319-23192-1_35
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Volkmann,Niels
中科院分区：
文献类型：
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作者：
Xu,Xiao-Ping;Page,Christopher;Volkmann,Niels
电子断层扫描是应用最广泛的电子显微镜获取三维信息的方法。在生物学领域，人们已经认识到电子断层扫描能够提供完整的、分子分辨率的整个蛋白质组的三维地图。然而，为了实现这一目标，需要从这些层析图中有效地提取信息。由于信噪比极低，这项任务大多是手动完成的。标准模板匹配方法往往会产生大量的误报。我们开发了一种基于简化表示模板的生物电子断层扫描特征提取的替代方法，通过少量用于计算评分函数的锚点来近似搜索模型。使用这种方法，我们看到与匹配过滤器方法相比，误报减少了约50%，低于5%。与此同时，假阴性保持在5%以下，因此基本上符合人们对人工操作员的期望。
Electron tomography is the most widely applicable method for obtaining 3D information by electron microscopy. In the field of biology it has been realized that electron tomography is capable of providing a complete, molecular resolution three-dimensional mapping of entire proteoms. However, to realize this goal, information needs to be extracted efficiently from these tomograms. Owing to extremely low signal-to-noise ratios, this task is mostly carried out manually. Standard template matching approaches tend to generate large amounts of false positives. We developed an alternative method for feature extraction in biological electron tomography based on reduced representation templates, approximating the search model by a small number of anchor points used to calculate the scoring function. Using this approach we see a reduction of about 50% false positives with matched-filter approaches to below 5%. At the same time, false negatives stay below 5%, thus essentially matching the performance one would expect from human operators.