An improved algorithm for anisotropic nonlinear diffusion for denoising cryo-tomograms
An improved algorithm for anisotropic nonlinear diffusion for denoising cryo-tomograms
复制标题
DOI：
10.1016/j.jsb.2003.09.010
复制
发表时间：
2003-10-01
影响因子：
3
通讯作者：
Li, S
中科院分区：
文献类型：
--
作者：
Fernández, JJ;Li, S
冷冻电子断层成像是一种具有显示大型复杂生物标本的独特潜力的成像技术。它确保了生物材料的保存，但由此产生的低温断层图像噪音极大。因此，复杂的去噪技术对于使冷冻断层图像中所包含的信息可视化和解释至关重要。本文介绍了一种基于各向异性非线性扩散的软件工具，用于对低温断层图像进行滤波。该方法降低了局部噪声，同时增强了曲线结构和平面结构。在程序中实现了偏微分方程的一种新的解，它允许可靠的导数估计，并进一步减少了计算时间和内存需求。包括了自动选择最佳停车时间的几个标准。对去噪方法的性能进行了测试，以显示冷冻断层图像中的丝状结构。(C)2003 Elsevier Inc.保留所有权利。
Cryo-electron tomography is an imaging technique with an unique potential for visualizing large complex biological specimens. It ensures preservation of the biological material but the resulting cryotomograms are extremely noisy. Sophisticated denoising techniques are thus essential for allowing the visualization and interpretation of the information contained in the cryotomograms. Here a software tool based on anisotropic nonlinear diffusion is described for filtering cryotomograms. The approach reduces local noise and meanwhile enhances both curvilinear and planar structures. In the program a novel solution of the partial differential equation has been implemented, which allows a reliable estimation of derivatives and, furthermore, reduces computation time and memory requirements. Several criteria have been included to automatically select the optimal stopping time. The behaviour of the denoising approach is tested for visualizing filamentous structures in cryotomograms. (C) 2003 Elsevier Inc. All rights reserved.