{"title":"Principal component analysis of data from laser scanning flow cytometry","authors":"A. Palucci, V. Spizzichino, F. Angelini","doi":"10.1109/IWBP.2011.5954825","DOIUrl":null,"url":null,"abstract":"Principal Component Analysis (PCA) has been tested as a method for the fast analysis of scattering data deriving from the prototype of Laser Scanning Flow Cytometer (LSFC) CLASS. Tests and performances on simulated and real data are presented.","PeriodicalId":142421,"journal":{"name":"2011 International Workshop on Biophotonics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Workshop on Biophotonics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWBP.2011.5954825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Principal Component Analysis (PCA) has been tested as a method for the fast analysis of scattering data deriving from the prototype of Laser Scanning Flow Cytometer (LSFC) CLASS. Tests and performances on simulated and real data are presented.
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