{"title":"数字全息,双光束频率梳状FTIR纳米显微镜无标签病原体鉴定","authors":"W. Buchwald, Jon Mooney","doi":"10.1364/DH.2019.TH4A.1","DOIUrl":null,"url":null,"abstract":"A 2-D digital holographic system with field of view spectral content obtained via a dual-beam, IR frequency comb is presented. Deep learning algorithms interpret the spatial/spectral data for the rapid, label free, un-assisted identification of pathogens.","PeriodicalId":448778,"journal":{"name":"Digital Holography and Three-Dimensional Imaging 2019","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Digital holographic, dual beam frequency comb FTIR nanoscopy for label free pathogen identification\",\"authors\":\"W. Buchwald, Jon Mooney\",\"doi\":\"10.1364/DH.2019.TH4A.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A 2-D digital holographic system with field of view spectral content obtained via a dual-beam, IR frequency comb is presented. Deep learning algorithms interpret the spatial/spectral data for the rapid, label free, un-assisted identification of pathogens.\",\"PeriodicalId\":448778,\"journal\":{\"name\":\"Digital Holography and Three-Dimensional Imaging 2019\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital Holography and Three-Dimensional Imaging 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/DH.2019.TH4A.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Holography and Three-Dimensional Imaging 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/DH.2019.TH4A.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Digital holographic, dual beam frequency comb FTIR nanoscopy for label free pathogen identification
A 2-D digital holographic system with field of view spectral content obtained via a dual-beam, IR frequency comb is presented. Deep learning algorithms interpret the spatial/spectral data for the rapid, label free, un-assisted identification of pathogens.