{"title":"数字全息显微镜中基于学习的定量相位成像:不同模型的比较研究","authors":"R. Castaneda, A. Doblas, C. Trujillo","doi":"10.1364/3d.2022.3f3a.4","DOIUrl":null,"url":null,"abstract":"A performance comparison between three learning-based approaches for quantitative phase imaging in digital holographic microscopy is reported. We have compared the models' resulting noise level, phase discontinuities, and fitting and prediction times.","PeriodicalId":286361,"journal":{"name":"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Learning-based Quantitative Phase Imaging in Digital Holographic Microscopy: a comparison study between different models\",\"authors\":\"R. Castaneda, A. Doblas, C. Trujillo\",\"doi\":\"10.1364/3d.2022.3f3a.4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A performance comparison between three learning-based approaches for quantitative phase imaging in digital holographic microscopy is reported. We have compared the models' resulting noise level, phase discontinuities, and fitting and prediction times.\",\"PeriodicalId\":286361,\"journal\":{\"name\":\"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/3d.2022.3f3a.4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/3d.2022.3f3a.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Learning-based Quantitative Phase Imaging in Digital Holographic Microscopy: a comparison study between different models
A performance comparison between three learning-based approaches for quantitative phase imaging in digital holographic microscopy is reported. We have compared the models' resulting noise level, phase discontinuities, and fitting and prediction times.