基于序列重建方法的压缩感知扫描探针显微镜成像时间缩短方法

IF 1.3 4区材料科学 Q3 MATERIALS SCIENCE, CERAMICS

Journal of the Ceramic Society of Japan Pub Date : 2023-10-01 DOI:10.2109/jcersj2.23042

Keiichi Ueda, Diao Zhuo, Linfeng Hou, Hayato Yamashita, Masayuki Abe

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引用次数: 0

摘要

在扫描探针显微镜图像采集中，采用压缩感知算法进行数据补全，缩短了表面图像测量时间。特别是，通过减少表面粗糙度图像的采集点数量并使用估计值重建图像，可以在八分之一的数据测量时间内获取表面图像。缩短的测量时间可以减少图像捕获过程中热漂移的影响。实时表面图像表明，在表面图像采集过程中，重构是可能的。

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Time-reduction imaging method for scanning-probe microscopy using a compressed sensing algorithm based on sequential reconstruction method

The surface image measurement time was reduced by data completion using a compressed sensing algorithm in the image-acquisition of scanning probe microscopy. In particular, by reducing the number of acquisition points of the surface-roughness image and reconstructing the image using estimated values, acquiring the surface image at one-eighth of the data-measurement time became possible. The reduced measurement time was shown to reduce the influence of thermal drift during image capture. The real time surface image demonstrated that reconstruction is possible during surface image acquisition.

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来源期刊

Journal of the Ceramic Society of Japan 工程技术-材料科学：硅酸盐

CiteScore

2.10

自引率

18.20%

发文量

170

审稿时长

2 months

期刊介绍： The Journal of the Ceramic Society of Japan (JCS-Japan) publishes original experimental and theoretical researches and reviews on ceramic science, ceramic materials, and related fields, including composites and hybrids. JCS-Japan welcomes manuscripts on both fundamental and applied researches.