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首页> 外文期刊>Journal of nanoparticle research: An interdisciplinary forum for nanoscale science and technology >AFM topographies of densely packed nanoparticles: A quick way to determine the lateral size distribution by autocorrelation function analysis
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AFM topographies of densely packed nanoparticles: A quick way to determine the lateral size distribution by autocorrelation function analysis

机译:密集堆积纳米粒子的AFM形貌:通过自相关函数分析确定横向尺寸分布的快速方法

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摘要

The distribution of sizes is one of the basic characteristics of nanoparticles. Here, we propose a novel way to determine the lateral distribution of sizes from AFM topographies. Our algorithm is based on the autocorrelation function and can be applied both on topographies containing spatially separated and densely packed nanoparticles as well as on topographies of polycrystalline films. As no manual treatment is required, this algorithm can be easily automatable for batch processing. The algorithm works in principle with any kind of spatially mapped information (AFM current maps, optical microscope images, etc.), and as such has no size limitations. However, in the case of AFM topographies, the tip/sample convolution effects will be the factor limiting the smallest size to which the algorithm is applicable. Here, we demonstrate the usefulness of this algorithm on objects with sizes ranging between 20 nm and 1.5 μm.
机译:尺寸的分布是纳米颗粒的基本特征之一。在这里,我们提出了一种从AFM地形图确定尺寸横向分布的新颖方法。我们的算法基于自相关函数,既可以应用于包含空间分隔且密集堆积的纳米粒子的地形图,也可以应用于多晶膜的地形图。由于不需要人工处理,因此该算法可轻松自动化以进行批处理。该算法原则上适用于任何种类的空间映射信息(AFM当前图,光学显微镜图像等),因此没有大小限制。但是,在AFM形貌的情况下,尖端/样本卷积效应将成为限制该算法适用的最小尺寸的因素。在这里,我们证明了该算法对尺寸在20 nm至1.5μm之间的物体的有用性。

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