Fabrication of Soft and Transparent 3D Microelectrode Arrays for in Vitro Electrophysiological Recording
Debarun Sengupta (Deemed to Be University, TU Delft - Electrical Engineering, Mathematics and Computer Science)
Hande Aydogmus (TU Delft - Electrical Engineering, Mathematics and Computer Science, TU Delft - Electrical Engineering, Mathematics and Computer Science)
Pratik Tawade (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Tawab Karim (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Shriya Rangaswamy (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Jean Philippe Frimat (Leiden University Medical Center)
Massimo Mastrangeli (TU Delft - Electrical Engineering, Mathematics and Computer Science)
More Info
expand_more
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
The mechanisms governing the onset and eventual progression of several neurodegenerative disorders remain poorly understood or even undiscovered. This lack of pathophysiological insight can be partly attributed to reliance on inaccurate in vitro models. Notwithstanding research efforts towards recapitulating brain functions on flat devices, mimicking the brain's three-dimensional (3D) architecture in vitro remains a prime target, as 3D models more closely resemble the functional behavior and dynamic responses of in vivo organs. In this work, we present a novel, wafer-scale approach for microfabrication of soft and transparent 3D microelectrode arrays (MEAs) for in vitro electrical recording and optical inspection of electrogenic cell cultures. The proposed 3D MEAs entail 90μ m -high polydimethylsiloxane-based micro-pyramids featuring multiple, electrically-distinct and vertically-stacked titanium nitride electrodes on their slanted facets. Our innovative 3D MEAs will facilitate the development of physiologically-accurate brain-on-a-chip models capable of monitoring 3D electrical communication in neuronal networks while allowing their simultaneous optical characterization.