Multi-parametric functional imaging of cell cultures and tissues with a CMOS microelectrode array.
Multi-parametric functional imaging of cell cultures and tissues with a CMOS microelectrode array.
复制标题
用CMOS微电极阵列对细胞培养物和组织进行多参数功能成像。
DOI:
10.1039/d1lc00878a
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发表时间:
2022-03-29
期刊:
影响因子:
6.1
通讯作者:
Park H
中科院分区:
文献类型:
--
作者:
Abbott J;Mukherjee A;Wu W;Ye T;Jung HS;Cheung KM;Gertner RS;Basan M;Ham D;Park H
Electrode-based impedance and electrochemical measurements can provide cell-biology information that is difficult to obtain using optical-microscopy techniques. Such electrical methods are non-invasive, label-free, and continuous, eliminating the need for fluorescence reporters and overcoming optical imaging's throughput/temporal resolution limitations. Nonetheless, electrode-based techniques have not been heavily employed because devices typically contain few electrodes per well, resulting in noisy aggregate readouts. Complementary metal-oxide-semiconductor (CMOS) microelectrode arrays (MEAs) have sometimes been used for electrophysiological measurements with thousands of electrodes per well at sub-cellular pitches, but only basic impedance mappings of cell attachment have been performed outside of electrophysiology. Here, we report on new field-based impedance mapping and electrochemical mapping/patterning techniques to expand CMOS-MEA cell-biology applications. The methods enable accurate measurement of cell attachment, growth/wound healing, cell–cell adhesion, metabolic state, and redox properties with single-cell spatial resolution (20 μm electrode pitch). These measurements allow the quantification of adhesion and metabolic differences of cells expressing oncogenes versus wild-type controls. The multi-parametric, cell-population statistics captured by the chip-scale integrated device opens up new avenues for fully electronic high-throughput live-cell assays for phenotypic screening and drug discovery applications. A CMOS-MEA device combined with new impedance and electrochemical techniques measures cell attachment, growth/wound healing, cell–cell adhesion, metabolic state, and redox properties with single-cell spatial resolution for cell-biology applications.