{"title":"使用学习技术的光学成像(会议报告)","authors":"D. Psaltis","doi":"10.1117/12.2524829","DOIUrl":null,"url":null,"abstract":"Learning to perform various tasks by training neural networks has been linked to optics for a long time. The remarkable progress that has been achieved in recent years with “deep learning” networks, has led to new many ideas for how to use learning techniques in the design and operation of optical systems and vice-versa. We will present results from this recent activity with particular emphasis of how deep neural networks can enhance the capabilities of optical microscopy.","PeriodicalId":308921,"journal":{"name":"Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optical imaging using learning techniques (Conference Presentation)\",\"authors\":\"D. Psaltis\",\"doi\":\"10.1117/12.2524829\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Learning to perform various tasks by training neural networks has been linked to optics for a long time. The remarkable progress that has been achieved in recent years with “deep learning” networks, has led to new many ideas for how to use learning techniques in the design and operation of optical systems and vice-versa. We will present results from this recent activity with particular emphasis of how deep neural networks can enhance the capabilities of optical microscopy.\",\"PeriodicalId\":308921,\"journal\":{\"name\":\"Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2524829\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2524829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optical imaging using learning techniques (Conference Presentation)
Learning to perform various tasks by training neural networks has been linked to optics for a long time. The remarkable progress that has been achieved in recent years with “deep learning” networks, has led to new many ideas for how to use learning techniques in the design and operation of optical systems and vice-versa. We will present results from this recent activity with particular emphasis of how deep neural networks can enhance the capabilities of optical microscopy.