Reconstruction of an AFM image based on estimation of the tip shape
文献类型:期刊论文
作者 | Yuan S(袁帅); Luan FJ(栾方军); Song, Xiaoyu; Liu LQ(刘连庆)![]() |
刊名 | MEASUREMENT SCIENCE & TECHNOLOGY
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出版日期 | 2013 |
卷号 | 24期号:10 |
关键词 | AFM tip model blind tip estimation algorithm image reconstruction |
ISSN号 | 0957-0233 |
产权排序 | 1 |
通讯作者 | 袁帅 |
中文摘要 | From the viewpoint of mathematical morphology, an atomic force microscopy (AFM) image contains the distortion effect of the tip convolution on a real sample surface. If tip shape can be characterized accurately, mathematical deconvolution can be applied to reduce the distortion to obtain more precise AFM images. AFM image reconstruction has practical significance in nanoscale observation and manipulation technology. Among recent tip modeling algorithms, the blind tip evaluation algorithm based on mathematical morphology is widely used. However, it takes considerable computing time, and the noise threshold is hard to optimize. To tackle these problems, a new blind modeling method is proposed in this paper to accelerate the computation of the algorithm and realize the optimum threshold estimation to build a precise tip model. The simulation verifies the efficiency of the new algorithm by comparing the computing time with the original one. The calculated tip shape is also validated by comparison with the SEM image of the tip. Finally, the reconstruction of a carbon nanotube image based on the precise tip model illustrates the feasibility and validity of the proposed algorithm. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Engineering, Multidisciplinary ; Instruments & Instrumentation |
研究领域[WOS] | Engineering ; Instruments & Instrumentation |
关键词[WOS] | SCANNED PROBE MICROSCOPY ; NANOSCALE ; GEOMETRY |
收录类别 | SCI ; EI |
资助信息 | This research work is partially supported by the National Natural Youth Science Foundation of China (Project Codes: 61305125), the National Natural Science Foundation of China (Project Codes: 60904095, 61175103), the Youth Natural Science Foundation of University (Project Codes: 2012045) and National Post Doctor Foundation (Project Codes: 2013M530955). The authors thank the support of Institute of Metal Research, Chinese Academy of Sciences. |
语种 | 英语 |
WOS记录号 | WOS:000324621900038 |
公开日期 | 2013-12-27 |
源URL | [http://ir.sia.cn/handle/173321/14068] ![]() |
专题 | 沈阳自动化研究所_机器人学研究室 |
推荐引用方式 GB/T 7714 | Yuan S,Luan FJ,Song, Xiaoyu,et al. Reconstruction of an AFM image based on estimation of the tip shape[J]. MEASUREMENT SCIENCE & TECHNOLOGY,2013,24(10). |
APA | Yuan S,Luan FJ,Song, Xiaoyu,Liu LQ,&Liu, Jifei.(2013).Reconstruction of an AFM image based on estimation of the tip shape.MEASUREMENT SCIENCE & TECHNOLOGY,24(10). |
MLA | Yuan S,et al."Reconstruction of an AFM image based on estimation of the tip shape".MEASUREMENT SCIENCE & TECHNOLOGY 24.10(2013). |
入库方式: OAI收割
来源:沈阳自动化研究所
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