{"title":"Cell Trapping by Dielectrophoresis to Enhance the Identification and Detection of Biological Cell","authors":"Sameh Sherif, Y. Ghallab, M. El-Wakad, Y. Ismail","doi":"10.1109/ICCES51560.2020.9334672","DOIUrl":null,"url":null,"abstract":"Dielectrophoresis (DEP) force has established to be one of the strongest techniques can be used to control in the different biological cell using different techniques for example Cell sorting, Cell Transporting and Cell Trapping. The major target and challenge must be achieved are that how can improve and enhance the sensing and detection stage to enhance the overall detection method. In this study, we establish a new methodology based on the combination between the dielectrophoresis response and the electric impedance detection this combination can achieve the main target of the develop the cell detection techniques. The dielectrophoresis response can be extracted as a significant effect on the cell trapping under different force distribution. The force distribution and the cell response can be combined to enhance the biological cell and different particles identification and detection. The previous and the conventional studies on the cell detection ignore the effect of the cell distribution on the sensing and measuring electrodes during the dielectric parameters detection and measurements such as the ignoring of the cell distribution during the cell impedance detection. The random spread of the cells on the sensing electrodes consider a vital factor during cell dielectric parameters analysis. So, we focus on the using of the effect dielectrophoresis force can overcome this random cell distribution and make the cells being focused on the sensing electrodes.","PeriodicalId":247183,"journal":{"name":"2020 15th International Conference on Computer Engineering and Systems (ICCES)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 15th International Conference on Computer Engineering and Systems (ICCES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCES51560.2020.9334672","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
Dielectrophoresis (DEP) force has established to be one of the strongest techniques can be used to control in the different biological cell using different techniques for example Cell sorting, Cell Transporting and Cell Trapping. The major target and challenge must be achieved are that how can improve and enhance the sensing and detection stage to enhance the overall detection method. In this study, we establish a new methodology based on the combination between the dielectrophoresis response and the electric impedance detection this combination can achieve the main target of the develop the cell detection techniques. The dielectrophoresis response can be extracted as a significant effect on the cell trapping under different force distribution. The force distribution and the cell response can be combined to enhance the biological cell and different particles identification and detection. The previous and the conventional studies on the cell detection ignore the effect of the cell distribution on the sensing and measuring electrodes during the dielectric parameters detection and measurements such as the ignoring of the cell distribution during the cell impedance detection. The random spread of the cells on the sensing electrodes consider a vital factor during cell dielectric parameters analysis. So, we focus on the using of the effect dielectrophoresis force can overcome this random cell distribution and make the cells being focused on the sensing electrodes.