{"title":"激光扫描流式细胞术数据的主成分分析","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":"{\"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}","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}
Principal component analysis of data from laser scanning flow cytometry
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.