{"title":"使用基于点阵的认证参考材料评估SEM中的图像失真","authors":"Kazuhiro Kumagai;Akira Kurokawa","doi":"10.1093/jmicro/dfab003","DOIUrl":null,"url":null,"abstract":"This paper presents a quick and straightforward method to evaluate image distortion in scanning electron microscopy using a certified reference material (CRM) as a test specimen. The CRM has a square dot-array structure, whose dot-pitch has an accredited value. By calculating the distance between each dot of the CRM via image analysis, we can detect the distortion in the image as variations of dot interval. Furthermore, by considering the uncertainty of the certified value, it is possible to quantitatively evaluate the significance of the distortion in the image. This method enables us to easily estimate the uncertainty from image distortion, which can improve the reliability of measurement by scanning electron microscopy.","PeriodicalId":18515,"journal":{"name":"Microscopy","volume":"70 4","pages":"353-360"},"PeriodicalIF":1.8000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/jmicro/dfab003","citationCount":"3","resultStr":"{\"title\":\"Evaluation of image distortion in SEM by using a dot-array–based certified reference material\",\"authors\":\"Kazuhiro Kumagai;Akira Kurokawa\",\"doi\":\"10.1093/jmicro/dfab003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a quick and straightforward method to evaluate image distortion in scanning electron microscopy using a certified reference material (CRM) as a test specimen. The CRM has a square dot-array structure, whose dot-pitch has an accredited value. By calculating the distance between each dot of the CRM via image analysis, we can detect the distortion in the image as variations of dot interval. Furthermore, by considering the uncertainty of the certified value, it is possible to quantitatively evaluate the significance of the distortion in the image. This method enables us to easily estimate the uncertainty from image distortion, which can improve the reliability of measurement by scanning electron microscopy.\",\"PeriodicalId\":18515,\"journal\":{\"name\":\"Microscopy\",\"volume\":\"70 4\",\"pages\":\"353-360\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2021-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1093/jmicro/dfab003\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microscopy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/9579088/\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microscopy","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/9579088/","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of image distortion in SEM by using a dot-array–based certified reference material
This paper presents a quick and straightforward method to evaluate image distortion in scanning electron microscopy using a certified reference material (CRM) as a test specimen. The CRM has a square dot-array structure, whose dot-pitch has an accredited value. By calculating the distance between each dot of the CRM via image analysis, we can detect the distortion in the image as variations of dot interval. Furthermore, by considering the uncertainty of the certified value, it is possible to quantitatively evaluate the significance of the distortion in the image. This method enables us to easily estimate the uncertainty from image distortion, which can improve the reliability of measurement by scanning electron microscopy.
期刊介绍:
Microscopy, previously Journal of Electron Microscopy, promotes research combined with any type of microscopy techniques, applied in life and material sciences. Microscopy is the official journal of the Japanese Society of Microscopy.