{"title":"基于学习的数字无透镜全息显微镜自动聚焦回归模型","authors":"Manuel Montoya, M. Lopera, C. Trujillo","doi":"10.1364/dh.2022.tu4a.3","DOIUrl":null,"url":null,"abstract":"We propose a convolutional neural network - based model to predict the focus distance of contrast digital lensless holograms. The model predicts the focus distance of holograms with no numerical reconstruction process involved.","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\":\"Learning-based autofocusing regression model for Digital Lensless Holographic Microscopy\",\"authors\":\"Manuel Montoya, M. Lopera, C. Trujillo\",\"doi\":\"10.1364/dh.2022.tu4a.3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a convolutional neural network - based model to predict the focus distance of contrast digital lensless holograms. The model predicts the focus distance of holograms with no numerical reconstruction process involved.\",\"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.tu4a.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.tu4a.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Learning-based autofocusing regression model for Digital Lensless Holographic Microscopy
We propose a convolutional neural network - based model to predict the focus distance of contrast digital lensless holograms. The model predicts the focus distance of holograms with no numerical reconstruction process involved.
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