Permittivity-Based Classification by the Integration of Impedance Cytometry and Microwave Sensing

被引:0
|
作者
Tefek, Uzay [1 ]
Sari, Burak [2 ]
Alhmoud, Hashim [1 ]
Hanay, M. Selim [1 ]
机构
[1] Bilkent Univ, Dept Mech Engn, Bilkent, Turkiye
[2] Sabanci Univ, Elect & Elect Engn Dept, Istanbul, Turkiye
来源
2023 IEEE MTT-S INTERNATIONAL MICROWAVE BIOMEDICAL CONFERENCE, IMBIOC | 2023年
基金
欧洲研究理事会;
关键词
Impedance Cytometry; Microwave Sensors; Microplastics; Dielectric Characterization; Clausius-Mossotti Factor; Single-cell Analysis; Material Identification;
D O I
10.1109/IMBIOC56839.2023.10305104
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The direct determination of the permittivity of individual micro-objects has proven challenging due to the convoluting effect of their geometric size on capacitive signals (i.e., on the electric size of a particle). To overcome this challenge, we have developed a sensing platform to independently obtain both the geometric and electric size of organic and inorganic particles, by combining impedance cytometry and microwave resonant sensing in a microfluidic chip. This way the microwave signal is normalized to yield an intrinsic parameter that depends only on permittivity. The permittivity can then be used for material classification or single-cell interrogation.
引用
收藏
页码:34 / 36
页数:3
相关论文
共 50 条
  • [41] Compressive Sensing-Based Coherent Signal Integration for Multistatic Microwave Radars
    Berry, Paul E.
    Dahal, Nabaraj
    2021 18TH EUROPEAN RADAR CONFERENCE (EURAD), 2021, : 46 - 49
  • [42] Classification of tumor subtypes leveraging constriction-channel based impedance flow cytometry and optical imaging
    Jiang, Mei
    Wang, Xiaojie
    Zhao, Xiaoting
    Teng, Yu
    Chen, Jian
    Wang, Junbo
    Yue, Wentao
    CYTOMETRY PART A, 2021, 99 (11) : 1114 - 1122
  • [43] Machine learning classification of cellular states based on the impedance features derived from microfluidic single-cell impedance flow cytometry
    Wei, Jian
    Gao, Wenbing
    Yang, Xinlong
    Yu, Zhuotong
    Su, Fei
    Han, Chengwu
    Xing, Xiaoxing
    BIOMICROFLUIDICS, 2024, 18 (01)
  • [44] Multiband Microwave Sensing for Surface Roughness Classification
    Scharf, Philipp A.
    Iberle, Johannes
    Mantz, Hubert
    Walter, Thomas
    Waldschmidt, Christian
    2018 IEEE/MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM - IMS, 2018, : 934 - 937
  • [45] Microfluidic impedance cytometry for single-cell sensing: Review on electrode configurations
    Zhu, Shu
    Zhang, Xiaozhe
    Zhou, Zheng
    Han, Yu
    Xiang, Nan
    Ni, Zhonghua
    TALANTA, 2021, 233
  • [46] Impedance-Based Flow Cytometry for the Measurement of Microparticles
    Zwicker, Jeffrey I.
    SEMINARS IN THROMBOSIS AND HEMOSTASIS, 2010, 36 (08): : 819 - 823
  • [47] Noncontact Measurement of Permittivity Based on CSRR at Microwave Frequencies
    Dong, Jing
    Wang, Xinyi
    He, Yangyang
    2019 PHOTONICS & ELECTROMAGNETICS RESEARCH SYMPOSIUM - FALL (PIERS - FALL), 2019, : 754 - 758
  • [48] Phase-Variation Microwave Sensor for Permittivity Measurements Based on a High-Impedance Half-Wavelength Transmission Line
    Su, Lijuan
    Munoz-Enano, Jonathan
    Velez, Paris
    Casacuberta, Pau
    Gil, Marta
    Martin, Ferran
    IEEE SENSORS JOURNAL, 2021, 21 (09) : 10647 - 10656
  • [49] Classification of vegetative types in Changbai Mountain based on optical and microwave remote sensing data
    YANG Ying
    XU Mengxia
    LI Sheng
    WANG Mingchang
    LIU Ziwei
    ZHAO Shijun
    GlobalGeology, 2023, 26 (02) : 122 - 132
  • [50] Calibrated complex impedance and permittivity measurements with scanning microwave microscopy (vol 25, 145703, 2014)
    Gramse, G.
    Kasper, M.
    Fumagalli, L.
    Gomila, G.
    Hinterdorfer, P.
    Kienberger, F.
    NANOTECHNOLOGY, 2015, 26 (14)