Recording Neuronal Activity On Chip with Segmented 3D Microelectrode Arrays

Conference Paper (2022)
Author(s)

Nele Revyn (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Michel H.Y. Hu (Leiden University Medical Center)

Jean-Philippe Frimat (Leiden University Medical Center)

Bjorn de Wagenaar (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Arn M.J.M. van den Maagdenberg (Leiden University Medical Center)

Pasqualina M. Sarro (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Massimo Mastrangeli (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Electronic Components, Technology and Materials
DOI related publication
https://doi.org/10.1109/MEMS51670.2022.9699597 Final published version
More Info
expand_more
Publication Year
2022
Language
English
Research Group
Electronic Components, Technology and Materials
Article number
9699597
Pages (from-to)
102-105
ISBN (print)
978-1-6654-0912-4
ISBN (electronic)
978-1-6654-0911-7
Event
2022 IEEE 35th International Conference on Micro Electro Mechanical Systems Conference (MEMS) (2022-01-09 - 2022-01-13), Hybrid at Tokyo, Japan
Downloads counter
393
Collections
Institutional Repository
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

We present preliminary recordings on chip of three-dimensional (3D) electric neuronal activity from cultures of cortical neurons derived from human-induced pluripotent stem cells (hiPSCs). The recordings were obtained through 3D microelectrode arrays (MEAs) composed of truncated, 90 μm-high Si micropyramids endowed with multiple, electrically distinct, and vertically arranged TiN microelectrodes. The unique design and implementation of the 3D microelectrodes, complemented by a 60-electrode readout interface, allow for 3D spatial recording of neuronal activity, as well as single-unit recordings in high throughput, which are currently not possible with commercial MEA platforms. Future work will aim at optimizing extended 3D MEAs over optically transparent substrates for electro-physiological investigation of 3D neuronal tissues and organoids.

Files

Recording_Neuronal_Activity_On... (pdf)
(pdf | 1.38 Mb)
- Embargo expired in 11-08-2022
License info not available