{"title":"一种gpu加速的压缩荧光寿命成像显微镜约束重建算法的开发","authors":"Yayao Ma, Riwei Jin, Liang Gao","doi":"10.1364/boda.2019.jw4c.5","DOIUrl":null,"url":null,"abstract":"We present a GPU-accelerated constrained reconstruction algorithm which improves image quality and reconstruction speed for compressed fluorescence lifetime microscopy.","PeriodicalId":8973,"journal":{"name":"Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP)","volume":"29 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of a GPU-accelerated constrained reconstruction algorithm for compressed fluorescence lifetime imaging microscopy\",\"authors\":\"Yayao Ma, Riwei Jin, Liang Gao\",\"doi\":\"10.1364/boda.2019.jw4c.5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a GPU-accelerated constrained reconstruction algorithm which improves image quality and reconstruction speed for compressed fluorescence lifetime microscopy.\",\"PeriodicalId\":8973,\"journal\":{\"name\":\"Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP)\",\"volume\":\"29 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/boda.2019.jw4c.5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/boda.2019.jw4c.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of a GPU-accelerated constrained reconstruction algorithm for compressed fluorescence lifetime imaging microscopy
We present a GPU-accelerated constrained reconstruction algorithm which improves image quality and reconstruction speed for compressed fluorescence lifetime microscopy.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
