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Multi-Functional HD-MEA Platform for High-Resolution Impedance Imaging and Electrophysiological Recordings of Brain Slices
Date
2023-01-01
Author
Uluşan, Hasan
Diggelmann, Roland
Bartram, Julian
Magnan, Chloe
Kumar, Sreedhar
Hierlemann, Andreas
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We present a high-resolution impedance imaging and electrophysiological recording platform and demonstrate its capabilities with brain slices. The platform is easy to operate featuring an efficient data acquisition system and user-friendly software that runs on a host computer. The data acquisition platform relies on an FPGA system that enables bidirectional communication between the host computer and the high-density microelectrode array (HD-MEA). The software on the host computer helps to record and online visualize the HD-MEA data. Moreover, online filtering (and spike detection) features rapid visual feedback that enables the experimenter to reconfigure the HD-MEA. The platform includes a custom-designed pressing device to affix the brain slice on the HD-MEA and maintain good electrode-tissue contact. We validated the system with mouse acute cerebellar brain slices; high-resolution impedance imaging and electrophysiological recordings yielded data that were consistent with optical imaging. Moreover, the platform enabled the selection of highly active regions for recordings with high-density configurations and monitor multiple neurons in the same area at single-cell resolution.
URI
https://hdl.handle.net/11511/111164
DOI
https://doi.org/10.1109/biosensors58001.2023.10280868
Conference Name
IEEE BioSensors Conference (BioSensors)
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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BibTeX
H. Uluşan, R. Diggelmann, J. Bartram, C. Magnan, S. Kumar, and A. Hierlemann, “Multi-Functional HD-MEA Platform for High-Resolution Impedance Imaging and Electrophysiological Recordings of Brain Slices,” presented at the IEEE BioSensors Conference (BioSensors), London, Kanada, 2023, Accessed: 00, 2024. [Online]. Available: https://hdl.handle.net/11511/111164.