Embedded, Multimodal (TEER, EIS, Transparency) Sensing Chips for In Vitro Cellular Models
In this letter, we introduce a pioneering sensing system for multimodal sensing that utilizes microfabricated electrodes fabricated out of several electrode materials on glass wafers, achieving an impressive 98% fabrication yield. Our approach leverages a direct-write laser lithography process, where meticulous tuning of process parameters results in well-defined undercut profiles and a highly efficient lift-off process. The glass chips are subsequently packaged at the wafer-level using 3D-printed culture wells and soldered connections. Employing full-spectrum electrical impedance spectroscopy measurements, we characterized the electrode materials and extracted the 12.5 Hz value to determine baseline transendothelial/transepithelial electrical resistance values without cells of 6356 Ω·cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> for indium tin oxide (ITO), 4834 Ω·cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> for Ti/Au, and 5522 Ω·cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> for Ti/Pt. These measurements represent the first direct, quantitative comparison of these electrode materials under acellular conditions, establishing a robust electrical baseline for future biological model integration. In addition, the high transparency of ITO (83.37%) demonstrates multimodal sensing that combines both electrical and optical interrogation, paving the way for comprehensive biosensing applications.
Authors
- Swaminathan Rajaraman (ORCID: https://orcid.org/0000-0003-2279-2013)
- Joseph Potter
- Adrienne L. Watson (ORCID: https://orcid.org/0000-0002-9752-3689)
- Surbhi Tidke
- Maria Tregansin
- C. W. Hatcher
Institutions
- University of Central Florida (US)
- World Precision Instruments (United States) (US)
Publication Details
- Journal
- IEEE Sensors Letters
- Published
- 2025-08-14
- DOI
- https://doi.org/10.1109/lsens.2025.3597464
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00