Effective method to automatically measure the profile parameters of integrated circuit from SEM/TEM/STEM images

Xiaolin Zhang, Zubiao Fu, Yi Huang, Alien Lin, Yaoming Shi, Yiping Xu
{"title":"Effective method to automatically measure the profile parameters of integrated circuit from SEM/TEM/STEM images","authors":"Xiaolin Zhang, Zubiao Fu, Yi Huang, Alien Lin, Yaoming Shi, Yiping Xu","doi":"10.1109/CSTIC.2017.7919843","DOIUrl":null,"url":null,"abstract":"An effective image based method to automatically measure the profile parameters (PPs), including the critical dimensions (CDs), the full height and other structural parameters, of the integrated circuit (IC) devices in batch is proposed. In this method, templates are used to indicate the patterns of interest and the regions of the desired PPs; pattern recognition and PPs analysis algorithms are applied to determine the exact PPs from the underdetermined IC device images. In practice, the proposed method was proven of higher efficiency, more accuracy and better repeatability than the traditional manual measurement.","PeriodicalId":6846,"journal":{"name":"2017 China Semiconductor Technology International Conference (CSTIC)","volume":"11 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 China Semiconductor Technology International Conference (CSTIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSTIC.2017.7919843","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

An effective image based method to automatically measure the profile parameters (PPs), including the critical dimensions (CDs), the full height and other structural parameters, of the integrated circuit (IC) devices in batch is proposed. In this method, templates are used to indicate the patterns of interest and the regions of the desired PPs; pattern recognition and PPs analysis algorithms are applied to determine the exact PPs from the underdetermined IC device images. In practice, the proposed method was proven of higher efficiency, more accuracy and better repeatability than the traditional manual measurement.
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
从SEM/TEM/STEM图像中自动测量集成电路轮廓参数的有效方法
提出了一种有效的基于图像的成批集成电路(IC)器件轮廓参数(PPs)自动测量方法,包括关键尺寸(cd)、全高和其他结构参数。在这种方法中,模板用于指示感兴趣的模式和所需pp的区域;应用模式识别和PPs分析算法从欠确定的IC器件图像中确定准确的PPs。实践证明,与传统的人工测量相比,该方法具有更高的效率、更高的精度和更好的重复性。
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
Wafer size MOS2 with few monolayer synthesized by H2S sulfurization A fast and low-cost TSV/TGV filling method Finger print sensor molding thickness none destructive measurement with Terahertz technology Research of SMO process to improve the imaging capability of lithography system for 28nm node and beyond The study on the moldability and reliability of epoxy molding compound
×
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