Cells Electrical Characterization: Dielectric Properties, Mixture, and Modeling Theories
Electrical detection of biotic materials and their properties is always crucial in Biomedical Engineering. It emphasizes elaborate analysis of a certain disease diagnosis using electrical means which includes the study of electrical properties followed by detection, identification, and quantificatio...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/9475490 |
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| _version_ | 1832565977767739392 |
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| author | Nida Nasir Mahmoud Al Ahmad |
| author_facet | Nida Nasir Mahmoud Al Ahmad |
| author_sort | Nida Nasir |
| collection | DOAJ |
| description | Electrical detection of biotic materials and their properties is always crucial in Biomedical Engineering. It emphasizes elaborate analysis of a certain disease diagnosis using electrical means which includes the study of electrical properties followed by detection, identification, and quantification of biotic entities. Proper and early detection of cells, which can be normal or cancerous, holds never-ending demand. This review emphasizes the electrical characterization methods in modeling and classification of cell properties. Moreover, standard methods have been highlighted and discussed to yield performance analysis. This study suggests that techniques presented for single-cell analysis (SCA) are always precise and hold great scope compared to those for cell mixture. SCA plays a promising role in disease diagnosis and treatment planning, as it not only detects the cells but also helps in identification. Distinct electrical-based cell detection techniques are highlighted, along with the pros and cons of various SCA devices. The content, in terms of methodologies and available techniques, of this review paper is useful to attract researchers working in this area. |
| format | Article |
| id | doaj-art-264a092aedce47988022c81d9020bb5e |
| institution | Kabale University |
| issn | 2314-4904 2314-4912 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Engineering |
| spelling | doaj-art-264a092aedce47988022c81d9020bb5e2025-02-03T01:05:25ZengWileyJournal of Engineering2314-49042314-49122020-01-01202010.1155/2020/94754909475490Cells Electrical Characterization: Dielectric Properties, Mixture, and Modeling TheoriesNida Nasir0Mahmoud Al Ahmad1Electrical Engineering Department, United Arab Emirates University, Al Ain, Abu Dhabi 15551, UAEElectrical Engineering Department, United Arab Emirates University, Al Ain, Abu Dhabi 15551, UAEElectrical detection of biotic materials and their properties is always crucial in Biomedical Engineering. It emphasizes elaborate analysis of a certain disease diagnosis using electrical means which includes the study of electrical properties followed by detection, identification, and quantification of biotic entities. Proper and early detection of cells, which can be normal or cancerous, holds never-ending demand. This review emphasizes the electrical characterization methods in modeling and classification of cell properties. Moreover, standard methods have been highlighted and discussed to yield performance analysis. This study suggests that techniques presented for single-cell analysis (SCA) are always precise and hold great scope compared to those for cell mixture. SCA plays a promising role in disease diagnosis and treatment planning, as it not only detects the cells but also helps in identification. Distinct electrical-based cell detection techniques are highlighted, along with the pros and cons of various SCA devices. The content, in terms of methodologies and available techniques, of this review paper is useful to attract researchers working in this area.http://dx.doi.org/10.1155/2020/9475490 |
| spellingShingle | Nida Nasir Mahmoud Al Ahmad Cells Electrical Characterization: Dielectric Properties, Mixture, and Modeling Theories Journal of Engineering |
| title | Cells Electrical Characterization: Dielectric Properties, Mixture, and Modeling Theories |
| title_full | Cells Electrical Characterization: Dielectric Properties, Mixture, and Modeling Theories |
| title_fullStr | Cells Electrical Characterization: Dielectric Properties, Mixture, and Modeling Theories |
| title_full_unstemmed | Cells Electrical Characterization: Dielectric Properties, Mixture, and Modeling Theories |
| title_short | Cells Electrical Characterization: Dielectric Properties, Mixture, and Modeling Theories |
| title_sort | cells electrical characterization dielectric properties mixture and modeling theories |
| url | http://dx.doi.org/10.1155/2020/9475490 |
| work_keys_str_mv | AT nidanasir cellselectricalcharacterizationdielectricpropertiesmixtureandmodelingtheories AT mahmoudalahmad cellselectricalcharacterizationdielectricpropertiesmixtureandmodelingtheories |