{"title":"镰状细胞病的高通量QPM检测","authors":"CINDY (XIN) Chen, George T. Funkenbusch, Adam Wax","doi":"10.1364/boda.2023.dtu3a.5","DOIUrl":null,"url":null,"abstract":"We propose to use holographic cytometry to evaluate sickle cell disease patient samples and develop artificial intelligence that can screen for sickling phenotypes.","PeriodicalId":111173,"journal":{"name":"Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High throughput QPM for Sickle Cell Disease Detection\",\"authors\":\"CINDY (XIN) Chen, George T. Funkenbusch, Adam Wax\",\"doi\":\"10.1364/boda.2023.dtu3a.5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose to use holographic cytometry to evaluate sickle cell disease patient samples and develop artificial intelligence that can screen for sickling phenotypes.\",\"PeriodicalId\":111173,\"journal\":{\"name\":\"Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN)\",\"volume\":\"127 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/boda.2023.dtu3a.5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/boda.2023.dtu3a.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High throughput QPM for Sickle Cell Disease Detection
We propose to use holographic cytometry to evaluate sickle cell disease patient samples and develop artificial intelligence that can screen for sickling phenotypes.