DeStripe: frequency-based algorithm for removing stripe noises from AFM images.
DeStripe: frequency-based algorithm for removing stripe noises from AFM images.
复制标题
Destripe：基于频率的算法，用于从AFM图像中删除条纹噪声。
DOI：
10.1186/1472-6807-11-7
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发表时间：
2011-02-01
影响因子：
--
通讯作者：
Pellequer JL
中科院分区：
文献类型：
--
作者：
Chen SW;Pellequer JL
原子力显微镜（AFM）是一种相对较新开发的技术，在结构生物学和生物物理学领域显示出有希望的影响。它已被用于以一纳米或更小的横向分辨率对膜蛋白的分子表面进行成像。在 AFM 图像中表征表面特征的直接障碍是条纹噪声。为了更好地解释子域级别的结构，有必要对 AFM 图像进行预处理以消除条纹噪声。噪声消除可以在空间域或频域中执行。然而，频域去噪处理是保持边缘清晰度的更好解决方案。我们开发了一种名为 DeStripe 的去噪协议，用于处理被粗细条纹污染的 AFM 生物分子图像。该程序采用分而治之的方法，将图像的傅里叶频谱划分为中心和偏心区域，以进行噪声像素检测和强度恢复；它也适用于其他受高密度条纹干扰的图像，例如通过扫描电子显微镜获得的图像。 DeStripe 带来的去噪效果为图像对象提供了更好的可视化效果，而不会在恢复的图像中引入额外的伪影。本工作说明了 DeStripe 对 AFM 图像的去噪效果。它允许从形貌测量中提取扩展信息，并隐式增强图像中的分子特征。所有呈现的图像均由 DeStripe 处理，原始图像作为唯一输入，不需要任何其他先验信息。 Web 服务 http://biodev.cea.fr/destripe 可用于运行 DeStripe。
Atomic force microscopy (AFM) is a relatively recently developed technique that shows a promising impact in the field of structural biology and biophysics. It has been used to image the molecular surface of membrane proteins at a lateral resolution of one nanometer or less. An immediate obstacle of characterizing surface features in AFM images is stripe noise. To better interpret structures at a sub-domain level, pre-processing of AFM images for removing stripe noises is necessary. Noise removal can be performed in either spatial or frequency domain. However, denoising processing in the frequency domain is a better solution for preserving edge sharpness. We have developed a denoising protocol, called DeStripe, for AFM bio-molecular images that are contaminated with heavy and fine stripes. This program adopts a divide-and-conquer approach by dividing the Fourier spectrum of the image into central and off-center regions for noisy pixels detection and intensity restoration; it is also applicable to other images interfered with high-density stripes such as those acquired by the scanning electron microscope. The denoising effect brought by DeStripe provides better visualization for image objects without introducing additional artifacts into the restored image. The DeStripe denoising effect on AFM images is illustrated in the present work. It allows extracting extended information from the topographic measurements and implicitly enhances the molecular features in the image. All the presented images were processed by DeStripe with the raw image as the only input without any requirement for other prior information. A web service, http://biodev.cea.fr/destripe, is available for running DeStripe.
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影响因子：
56.9
作者：
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通讯作者：
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