论文标题
将嘈杂的图像插为cryo-em
Centering noisy images with application to cryo-EM
论文作者
论文摘要
我们针对估计嘈杂2-D图像质量中心的问题。我们假设噪声主导了图像，因此许多标准方法容易受到估计错误的影响。我们的方法对几何中位数使用替代功能，这是质量中心的强大估计器。我们通过数学分析了几何中位数未能提供质量中心的合理估计的病例，并证明我们的替代功能会导致成功的估计值。 我们方法的一种特殊应用是改善单粒子冷冻电子显微镜（Cryo-EM）中的3-D重建。我们展示了如何应用我们的方法，以更好地翻译从实验数据中挑选的大分子。通过这种方式，我们促进了重建的随后步骤，并简化整个冷冻管道，节省了宝贵的计算时间并支持分辨率增强。
We target the problem of estimating the center of mass of noisy 2-D images. We assume that the noise dominates the image, and thus many standard approaches are vulnerable to estimation errors. Our approach uses a surrogate function to the geometric median, which is a robust estimator of the center of mass. We mathematically analyze cases in which the geometric median fails to provide a reasonable estimate of the center of mass, and prove that our surrogate function leads to a successful estimate. One particular application for our method is to improve 3-D reconstruction in single-particle cryo-electron microscopy (cryo-EM). We show how to apply our approach for a better translational alignment of macromolecules picked from experimental data. In this way, we facilitate the succeeding steps of reconstruction and streamline the entire cryo-EM pipeline, saving valuable computational time and supporting resolution enhancement.
