{"title":"基于基追踪图像分析的间期细胞核荧光点自动计数","authors":"Zhenfei Tai, S. Cheng","doi":"10.1109/TPSD.2008.4562730","DOIUrl":null,"url":null,"abstract":"Fluorescent dot counting in interphase cell nuclei has always been useful in many aspects of clinical research and biomedical use. An iterative method is purposed in this paper using the basis pursuit algorithm for the processing of the fluorescent images, together with the threshold scheme to result in compressed sensed images useful for dot counting. A simple dot counting algorithm is employed on the processed images and compared with a conventional method to show the advantages of the new technique.","PeriodicalId":410786,"journal":{"name":"2008 IEEE Region 5 Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Automatic Fluorescent Dot Counting in Interphase Cell Nuclei using Basis Pursuit Image Analysis\",\"authors\":\"Zhenfei Tai, S. Cheng\",\"doi\":\"10.1109/TPSD.2008.4562730\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fluorescent dot counting in interphase cell nuclei has always been useful in many aspects of clinical research and biomedical use. An iterative method is purposed in this paper using the basis pursuit algorithm for the processing of the fluorescent images, together with the threshold scheme to result in compressed sensed images useful for dot counting. A simple dot counting algorithm is employed on the processed images and compared with a conventional method to show the advantages of the new technique.\",\"PeriodicalId\":410786,\"journal\":{\"name\":\"2008 IEEE Region 5 Conference\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE Region 5 Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TPSD.2008.4562730\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Region 5 Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TPSD.2008.4562730","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic Fluorescent Dot Counting in Interphase Cell Nuclei using Basis Pursuit Image Analysis
Fluorescent dot counting in interphase cell nuclei has always been useful in many aspects of clinical research and biomedical use. An iterative method is purposed in this paper using the basis pursuit algorithm for the processing of the fluorescent images, together with the threshold scheme to result in compressed sensed images useful for dot counting. A simple dot counting algorithm is employed on the processed images and compared with a conventional method to show the advantages of the new technique.