{"title":"基于部分相干光学衍射层析成像(PC-ODT)和深度学习的三维折射率估计","authors":"B. Bazow, T. Phan, C. Raub, G. Nehmetallah","doi":"10.1364/dh.2022.w5a.3","DOIUrl":null,"url":null,"abstract":"ODT has emerged as a powerful tool to obtain label-free 3D refractive index (RI) estimation of biological specimens. This work aims to improve 3D RI retrieval methods for PC-ODT using iterative and network based inverse solutions.","PeriodicalId":227456,"journal":{"name":"Digital Holography and 3-D Imaging 2022","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"3D Refractive Index Estimation Based on Partially-Coherent Optical Diffraction Tomography (PC-ODT) and Deep Learning\",\"authors\":\"B. Bazow, T. Phan, C. Raub, G. Nehmetallah\",\"doi\":\"10.1364/dh.2022.w5a.3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ODT has emerged as a powerful tool to obtain label-free 3D refractive index (RI) estimation of biological specimens. This work aims to improve 3D RI retrieval methods for PC-ODT using iterative and network based inverse solutions.\",\"PeriodicalId\":227456,\"journal\":{\"name\":\"Digital Holography and 3-D Imaging 2022\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital Holography and 3-D Imaging 2022\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/dh.2022.w5a.3\",\"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 3-D Imaging 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/dh.2022.w5a.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D Refractive Index Estimation Based on Partially-Coherent Optical Diffraction Tomography (PC-ODT) and Deep Learning
ODT has emerged as a powerful tool to obtain label-free 3D refractive index (RI) estimation of biological specimens. This work aims to improve 3D RI retrieval methods for PC-ODT using iterative and network based inverse solutions.