Automated SEM-Guided AFM Scan with Dynamically Varied Scan Speed

Jun Chen, J. Gel, Brandon K. Chen, Zheng Gong, Chao Zhou, Chaoyang Shi, Changhai Ru, Huayan Pu, Yan Peng, Shaorong Xie, Yu Sun
{"title":"Automated SEM-Guided AFM Scan with Dynamically Varied Scan Speed","authors":"Jun Chen, J. Gel, Brandon K. Chen, Zheng Gong, Chao Zhou, Chaoyang Shi, Changhai Ru, Huayan Pu, Yan Peng, Shaorong Xie, Yu Sun","doi":"10.1109/MARSS.2018.8481201","DOIUrl":null,"url":null,"abstract":"Ahstract- For imaging nano-scaled samples, atomic force microscopy (AFM) and scanning electron microscopy (SEM) represent two complementary imaging techniques. In a hybrid SEM-AFM system, a compact AFM is installed inside the high vacuum chamber of an SEM, where SEM provides largely 2D imaging and material compositions of a sample while AFM is capable of complementarily measuring 3D topography of the sample. Although SEM can achieve real-time imaging (e.g., 20 Hz), AFM scan can take minutes to generate an image, demanding strategies for speeding up AFM measurement. In existing hybrid SEM-AFM systems, SEM and AFM measurements are made independently. This paper presents, for the first time, a technique of using SEM nanoscopic imaging to guide the scan speed of AFM imaging. The dynamic variation of AFM scan speed is based on features identified in SEM imaging. Information/features are extracted from real-time SEM images and quantitated using local entropy and other metrics. The generated feature metric map is used to produce a speed map for varying AFM scan speed at each position on the sample. Experiments were conducted with a new SEM-compatible AFM instrument we recently developed, as the test bed of the SEM-guided AFM scan technique. The results for the samples measured in this work demonstrate that time savings of this technique, compared to traditional AFM scan using a constant speed, were up to 66% with equivalent imaging accuracy obtained with traditional fine scan. With the same time cost of traditional fast scan, the SEM -guided AFM scan technique had an accuracy improvement of 47%.","PeriodicalId":118389,"journal":{"name":"2018 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MARSS.2018.8481201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Ahstract- For imaging nano-scaled samples, atomic force microscopy (AFM) and scanning electron microscopy (SEM) represent two complementary imaging techniques. In a hybrid SEM-AFM system, a compact AFM is installed inside the high vacuum chamber of an SEM, where SEM provides largely 2D imaging and material compositions of a sample while AFM is capable of complementarily measuring 3D topography of the sample. Although SEM can achieve real-time imaging (e.g., 20 Hz), AFM scan can take minutes to generate an image, demanding strategies for speeding up AFM measurement. In existing hybrid SEM-AFM systems, SEM and AFM measurements are made independently. This paper presents, for the first time, a technique of using SEM nanoscopic imaging to guide the scan speed of AFM imaging. The dynamic variation of AFM scan speed is based on features identified in SEM imaging. Information/features are extracted from real-time SEM images and quantitated using local entropy and other metrics. The generated feature metric map is used to produce a speed map for varying AFM scan speed at each position on the sample. Experiments were conducted with a new SEM-compatible AFM instrument we recently developed, as the test bed of the SEM-guided AFM scan technique. The results for the samples measured in this work demonstrate that time savings of this technique, compared to traditional AFM scan using a constant speed, were up to 66% with equivalent imaging accuracy obtained with traditional fine scan. With the same time cost of traditional fast scan, the SEM -guided AFM scan technique had an accuracy improvement of 47%.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
自动sem引导AFM扫描与动态变化的扫描速度
摘要:对于纳米尺度样品的成像,原子力显微镜(AFM)和扫描电子显微镜(SEM)是两种互补的成像技术。在SEM-AFM混合系统中,一个紧凑的AFM安装在SEM的高真空室中,其中SEM主要提供样品的二维成像和材料成分,而AFM能够补充测量样品的三维形貌。虽然SEM可以实现实时成像(例如,20 Hz),但AFM扫描可能需要几分钟才能生成图像,这需要加快AFM测量的策略。在现有的SEM-AFM混合系统中,SEM和AFM的测量是独立进行的。本文首次提出了利用扫描电镜纳米成像技术来指导原子力显微镜成像的扫描速度。原子力显微镜扫描速度的动态变化是基于在扫描电镜成像中识别的特征。从实时扫描电镜图像中提取信息/特征,并使用局部熵和其他指标进行量化。生成的特征度量图用于在样品上的每个位置产生不同AFM扫描速度的速度图。实验是用我们最近开发的一种新的与sem兼容的AFM仪器进行的,作为sem引导AFM扫描技术的测试平台。在这项工作中测量的样品结果表明,与使用恒定速度的传统AFM扫描相比,该技术节省的时间高达66%,并且与传统精细扫描获得的成像精度相当。在与传统快速扫描相同的时间成本下,扫描电镜引导AFM扫描技术的精度提高了47%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Copyright Information Ferrofluid Levitated Micro/Milli-Robots Implementation Scheme of Orbital Refueling Using Microsate IIite Assembly of Cellular Microstructures into Lobule-Like 3D Microtissues Based on Microrobotic Manipulation* Research supported by the Beijing Natural Science Foundation under Grant 4164099and the National Natural Science Foundation of China under grants 61603044and 61520106011. Three Dimensional Microfabrication Using Local Electrophoretic Deposition Assisted with Laser Trapping Controlled by a Spatial Light Modulator
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1