Premium
Spatially resolved electrical impedance methods for cell and particle characterization
Author(s) -
Schwarz Marvin,
Jendrusch Michael,
Constantinou Iordania
Publication year - 2020
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/elps.201900286
Subject(s) - electrical impedance , characterization (materials science) , materials science , microelectrode , particle (ecology) , biological system , dielectric spectroscopy , temporal resolution , electrical impedance tomography , resolution (logic) , nanotechnology , electrode , electrochemistry , chemistry , computer science , optics , physics , oceanography , quantum mechanics , geology , biology , artificial intelligence
Abstract Electrical impedance is an established technique used for cell and particle characterization. The temporal and spectral resolution of electrical impedance have been used to resolve basic cell characteristics like size and type, as well as to determine cell viability and activity. Such electrical impedance measurements are typically performed across the entire sample volume and can only provide an overall indication concerning the properties and state of that sample. For the study of heterogeneous structures such as cell layers, biological tissue, or polydisperse particle mixtures, an overall measured impedance value can only provide limited information and can lead to data misinterpretation. For the investigation of localized sample properties in complex heterogeneous structures/mixtures, the addition of spatial resolution to impedance measurements is necessary. Several spatially resolved impedance measurement techniques have been developed and applied to cell and particle research, including electrical impedance tomography, scanning electrochemical microscopy, and microelectrode arrays. This review provides an overview of spatially resolved impedance measurement methods and assesses their applicability for cell and particle characterization.