{"title":"使用霍尔顿采样自动对焦","authors":"T. Pengo","doi":"10.1002/IMIC.200990060","DOIUrl":null,"url":null,"abstract":"A critical step in automated microscopy is the autofocusing algorithm. When focusing multiple fields of view, the variation of the focus plane in neighboring fields is low, and a subset of these can be used for focusing, estimating the rest by interpolation. The choice of the sampling points has an influence on the interpolation error. We introduce and test a new sampling algorithm based on the Halton set, which significantly improves the interpolation error.","PeriodicalId":100658,"journal":{"name":"Imaging & Microscopy","volume":"2 1","pages":"39-41"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Automatic Focusing Using Halton Sampling\",\"authors\":\"T. Pengo\",\"doi\":\"10.1002/IMIC.200990060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A critical step in automated microscopy is the autofocusing algorithm. When focusing multiple fields of view, the variation of the focus plane in neighboring fields is low, and a subset of these can be used for focusing, estimating the rest by interpolation. The choice of the sampling points has an influence on the interpolation error. We introduce and test a new sampling algorithm based on the Halton set, which significantly improves the interpolation error.\",\"PeriodicalId\":100658,\"journal\":{\"name\":\"Imaging & Microscopy\",\"volume\":\"2 1\",\"pages\":\"39-41\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Imaging & Microscopy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/IMIC.200990060\",\"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 & Microscopy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/IMIC.200990060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A critical step in automated microscopy is the autofocusing algorithm. When focusing multiple fields of view, the variation of the focus plane in neighboring fields is low, and a subset of these can be used for focusing, estimating the rest by interpolation. The choice of the sampling points has an influence on the interpolation error. We introduce and test a new sampling algorithm based on the Halton set, which significantly improves the interpolation error.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
