Multi-parametric functional imaging of cell cultures and tissues with a CMOS microelectrode array. Issue 7 (10th March 2022)

• Record Type: Journal Article
• Authors: Abbott, Jeffrey; Mukherjee, Avik; Wu, Wenxuan; Ye, Tianyang; Jung, Han Sae; Cheung, Kevin M.; Gertner, Rona S.; Basan, Markus; Ham, Donhee; Park, Hongkun
• Is Part Of: Lab on a chip. Volume 22:Issue 7(2022)
• Page Start: 1286
• Page End: 1296
• Publication Date: 2022-03-10
• Subjects: Miniature electronic equipment -- Periodicals; Combinatorial chemistry -- Periodicals; Biotechnology -- Periodicals; 543.0813
• DOI: 10.1039/d1lc00878a
• Languages: English
• ISSNs: 1473-0197

Abstract

Abstract : 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. Abstract : 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.