基于相似性搜索的特征提取:在电子和扫描探针显微镜成像中的原子发现和去噪应用

IF 3.56 Q1 Medicine

Advanced Structural and Chemical Imaging Pub Date : 2018-03-01 DOI:10.1186/s40679-018-0052-y

Suhas Somnath, Christopher R. Smith, Sergei V. Kalinin, Miaofang Chi, Albina Borisevich, Nicholas Cross, Gerd Duscher, Stephen Jesse

{"title":"基于相似性搜索的特征提取:在电子和扫描探针显微镜成像中的原子发现和去噪应用","authors":"Suhas Somnath, Christopher R. Smith, Sergei V. Kalinin, Miaofang Chi, Albina Borisevich, Nicholas Cross, Gerd Duscher, Stephen Jesse","doi":"10.1186/s40679-018-0052-y","DOIUrl":null,"url":null,"abstract":"<p>We develop an algorithm for feature extraction based on structural similarity and demonstrate its application for atom and pattern finding in high-resolution electron and scanning probe microscopy images. The use of the combined local identifiers formed from an image subset and appended Fourier, or other transform, allows tuning selectivity to specific patterns based on the nature of the recognition task. The proposed algorithm is implemented in Pycroscopy, a community-driven scientific data analysis package, and is accessible through an interactive Jupyter notebook available on GitHub.</p>","PeriodicalId":460,"journal":{"name":"Advanced Structural and Chemical Imaging","volume":"4 1","pages":""},"PeriodicalIF":3.5600,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s40679-018-0052-y","citationCount":"35","resultStr":"{\"title\":\"Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging\",\"authors\":\"Suhas Somnath, Christopher R. Smith, Sergei V. Kalinin, Miaofang Chi, Albina Borisevich, Nicholas Cross, Gerd Duscher, Stephen Jesse\",\"doi\":\"10.1186/s40679-018-0052-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>We develop an algorithm for feature extraction based on structural similarity and demonstrate its application for atom and pattern finding in high-resolution electron and scanning probe microscopy images. The use of the combined local identifiers formed from an image subset and appended Fourier, or other transform, allows tuning selectivity to specific patterns based on the nature of the recognition task. The proposed algorithm is implemented in Pycroscopy, a community-driven scientific data analysis package, and is accessible through an interactive Jupyter notebook available on GitHub.</p>\",\"PeriodicalId\":460,\"journal\":{\"name\":\"Advanced Structural and Chemical Imaging\",\"volume\":\"4 1\",\"pages\":\"\"},\"PeriodicalIF\":3.5600,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1186/s40679-018-0052-y\",\"citationCount\":\"35\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Structural and Chemical Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1186/s40679-018-0052-y\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Structural and Chemical Imaging","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1186/s40679-018-0052-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}

引用次数: 35

摘要

我们开发了一种基于结构相似性的特征提取算法，并演示了其在高分辨率电子和扫描探针显微镜图像中原子和模式发现的应用。使用由图像子集和附加傅立叶或其他变换组成的组合本地标识符，可以根据识别任务的性质对特定模式进行选择性调优。提出的算法在Pycroscopy中实现，Pycroscopy是一个社区驱动的科学数据分析包，可以通过GitHub上的交互式Jupyter笔记本访问。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging

查看原文本刊更多论文

Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging

We develop an algorithm for feature extraction based on structural similarity and demonstrate its application for atom and pattern finding in high-resolution electron and scanning probe microscopy images. The use of the combined local identifiers formed from an image subset and appended Fourier, or other transform, allows tuning selectivity to specific patterns based on the nature of the recognition task. The proposed algorithm is implemented in Pycroscopy, a community-driven scientific data analysis package, and is accessible through an interactive Jupyter notebook available on GitHub.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Advanced Structural and Chemical Imaging Medicine-Radiology, Nuclear Medicine and Imaging

自引率

0.00%

发文量