Challenges for scanning electron microscopy and inspection on the nanometer scale for non-IC application: and how to tackle them using computational techniques
J. Bolten, K. Arat, N. Ünal, C. Porschatis, T. Wahlbrink, M. Lemme
{"title":"Challenges for scanning electron microscopy and inspection on the nanometer scale for non-IC application: and how to tackle them using computational techniques","authors":"J. Bolten, K. Arat, N. Ünal, C. Porschatis, T. Wahlbrink, M. Lemme","doi":"10.1117/12.2279564","DOIUrl":null,"url":null,"abstract":"In this paper key challenges posed on metrology by feature dimensions of 20nm and below are discussed. In detail, the need for software-based tools for SEM image acquisition and image analysis in environments where CD-SEMs are not available and/or not flexible enough to cover all inspection tasks is outlined. These environments include research at universities as well as industrial R and D environments focused on non-IC applications. The benefits of combining automated image acquisition and analysis with computational techniques to simulate image generation in a conventional analytical SEM with respect to the overall reliability, precision and speed of inspection will be demonstrated using real-life inspection tasks as demonstrators.","PeriodicalId":287066,"journal":{"name":"European Mask and Lithography Conference","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Mask and Lithography Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2279564","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
In this paper key challenges posed on metrology by feature dimensions of 20nm and below are discussed. In detail, the need for software-based tools for SEM image acquisition and image analysis in environments where CD-SEMs are not available and/or not flexible enough to cover all inspection tasks is outlined. These environments include research at universities as well as industrial R and D environments focused on non-IC applications. The benefits of combining automated image acquisition and analysis with computational techniques to simulate image generation in a conventional analytical SEM with respect to the overall reliability, precision and speed of inspection will be demonstrated using real-life inspection tasks as demonstrators.