论文标题
二维冷冻EM数据处理的信号增强
Signal enhancement for two-dimensional cryo-EM data processing
论文作者
论文摘要
单粒子冷冻电子显微镜（Cryo-EM）的计算管道中的不同任务需要提高高度嘈杂的原始图像的质量。为此，我们开发了一种有效的算法来增强冷冻EM图像的信号。增强的图像可用于各种下游任务，例如2-D分类，删除不信息图像，构建{ab intibio}模型，生成用于粒子拾取的模板，对数据集的快速评估，维度降低降低和对称性检测。该算法包括内置质量措施，以评估其性能并减轻模型偏见的风险。我们证明了所提出的算法对几个实验数据集的有效性。特别是，我们表明，所得图像的质量足够高，可以产生$ \ sim 10 $ÅResolution的概念。该算法伴随着公开可用的，记录的且易于使用的代码。
Different tasks in the computational pipeline of single-particle cryo-electron microscopy (cryo-EM) require enhancing the quality of the highly noisy raw images. To this end, we develop an efficient algorithm for signal enhancement of cryo-EM images. The enhanced images can be used for a variety of downstream tasks, such as 2-D classification, removing uninformative images, constructing {ab initio} models, generating templates for particle picking, providing a quick assessment of the data set, dimensionality reduction, and symmetry detection. The algorithm includes built-in quality measures to assess its performance and alleviate the risk of model bias. We demonstrate the effectiveness of the proposed algorithm on several experimental data sets. In particular, we show that the quality of the resulting images is high enough to produce ab initio models of $\sim 10$ Åresolution. The algorithm is accompanied by a publicly available, documented and easy-to-use code.
