{"title":"FLOPTICS: A Novel Automated Gating Technique for Flow Cytometry Data","authors":"Wiwat Sriphum, G. Wills, N. Green","doi":"10.5220/0009426300960102","DOIUrl":null,"url":null,"abstract":"Gating is a process of cell differentiation of the data obtaining from flow cytometry technique. Flow cytometry (FCM) is a fluorescence concept technique that provide characteristics of individual cells in blood sample. A multidimensional dataset obtained from this method is large and complex so it is difficult to manually analysis and time consuming. Gating is the first step of FCM data analysis and highly subjective. Although many research attempted to reduce this subjectivity, more standard and faster gating technique is still needed. Some existing automated gating technique need many user-defined parameters that can lead to different results for different parameter values. Some techniques have a trouble with time consuming. FLOPTICS is a novel automated gating technique that is a combination of density-based and grid-based clustering algorithms. FLOPTICS has an ability to classify cell on FCM data faster and less user-defined parameter than some of state of art technique such as FlowGrid, FlowPeaks, and FLOCK.","PeriodicalId":414016,"journal":{"name":"International Conference on Complex Information Systems","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Complex Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0009426300960102","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
Gating is a process of cell differentiation of the data obtaining from flow cytometry technique. Flow cytometry (FCM) is a fluorescence concept technique that provide characteristics of individual cells in blood sample. A multidimensional dataset obtained from this method is large and complex so it is difficult to manually analysis and time consuming. Gating is the first step of FCM data analysis and highly subjective. Although many research attempted to reduce this subjectivity, more standard and faster gating technique is still needed. Some existing automated gating technique need many user-defined parameters that can lead to different results for different parameter values. Some techniques have a trouble with time consuming. FLOPTICS is a novel automated gating technique that is a combination of density-based and grid-based clustering algorithms. FLOPTICS has an ability to classify cell on FCM data faster and less user-defined parameter than some of state of art technique such as FlowGrid, FlowPeaks, and FLOCK.