{"title":"运动目标的高对比度成像","authors":"Bo Fu, Noah A. Russell","doi":"10.1109/FOI.2011.6154847","DOIUrl":null,"url":null,"abstract":"The imaging of cells flowing through blood vessels can be a useful diagnostic tool'. However, live samples are usually transparent and contrast is poor with bright-field microscopy. A variety of methods are available to improve contrast including; phase contrast, differential interference contrast, fluorescent labelling and surface plasmon resonance imaging. These methods are not all amenable to automated cell detection and analysis, however, because the cell is not easily separable from the background.","PeriodicalId":240419,"journal":{"name":"2011 Functional Optical Imaging","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High-contrast imaging of moving targets\",\"authors\":\"Bo Fu, Noah A. Russell\",\"doi\":\"10.1109/FOI.2011.6154847\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The imaging of cells flowing through blood vessels can be a useful diagnostic tool'. However, live samples are usually transparent and contrast is poor with bright-field microscopy. A variety of methods are available to improve contrast including; phase contrast, differential interference contrast, fluorescent labelling and surface plasmon resonance imaging. These methods are not all amenable to automated cell detection and analysis, however, because the cell is not easily separable from the background.\",\"PeriodicalId\":240419,\"journal\":{\"name\":\"2011 Functional Optical Imaging\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Functional Optical Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FOI.2011.6154847\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Functional Optical Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FOI.2011.6154847","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The imaging of cells flowing through blood vessels can be a useful diagnostic tool'. However, live samples are usually transparent and contrast is poor with bright-field microscopy. A variety of methods are available to improve contrast including; phase contrast, differential interference contrast, fluorescent labelling and surface plasmon resonance imaging. These methods are not all amenable to automated cell detection and analysis, however, because the cell is not easily separable from the background.