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一种使用具有给定形状的纳米结构恢复原子力显微镜形貌图像的新型尖端形状重建方法。

Novel tip shape reconstruction method for restoration of AFM topography images using nano-structures with given shapes.

作者信息

Onishi Keiko, Fujita Daisuke

机构信息

Advanced Nano Characterization Center, National Institute for Materials Science, 1-2-1 Sengen, Ibaraki 305-0047, Japan.

出版信息

Anal Sci. 2011;27(2):157-61. doi: 10.2116/analsci.27.157.

Abstract

The establishment of more accurate imaging of surface microstructures is needed. The most significant distortion in atomic force microscopy (AFM) imaging is induced by the probe tip shape, whenever the sample surface contains features whose dimensions are comparable to the probe tip size. The acquired AFM image is the dilation between the tip shape and the sample topography. To restore the original topographical profile, a numerical erosion procedure using a precise probe shape function is required. Here, a new technique for reconstruction of probe shape function using a well-defined nanostructure is proposed. First, AFM topography images of the given-shape nanostructure dispersed on flat substrates are taken. Then, a probe shape function is determined by a numerical calculation procedure. By using the experimentally determined probe shape function, the most probable surface morphologies from the observed AFM topography images of unknown samples can be extracted.

摘要

需要建立更精确的表面微观结构成像。每当样品表面包含尺寸与探针尖端尺寸相当的特征时,原子力显微镜(AFM)成像中最显著的失真就是由探针尖端形状引起的。获取的AFM图像是尖端形状与样品形貌之间的膨胀。为了恢复原始的形貌轮廓,需要使用精确的探针形状函数进行数值侵蚀过程。在此,提出了一种使用定义明确的纳米结构重建探针形状函数的新技术。首先,拍摄分散在平坦基板上的给定形状纳米结构的AFM形貌图像。然后,通过数值计算程序确定探针形状函数。通过使用实验确定的探针形状函数,可以从未知样品的观察到的AFM形貌图像中提取最可能的表面形态。

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