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.

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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
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article

Embedded, Multimodal (TEER, EIS, Transparency) Sensing Chips for In Vitro Cellular Models

Swaminathan Rajaraman, Joseph Potter, Adrienne L. Watson, Surbhi Tidke et al.
4 links
IEEE Sensors Letters
Neuroscience and Neural Engineering
article

Embedded, Multimodal (TEER, EIS, Transparency) Sensing Chips for In Vitro Cellular Models

Swaminathan Rajaraman, Joseph Potter, Adrienne L. Watson, Surbhi Tidke, Maria Tregansin, C. W. Hatcher
article en

Abstract

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.

IEEE Sensors LettersVol. 9(9)
University of Central Florida (US), World Precision Instruments (United States) (US)
Decent work and economic growth
Openalex Percentile: Top 76%
Neuroscience and Neural Engineering
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Embedded, Multimodal (TEER, EIS, Transparency) Sensing Chips for In Vitro Cellular Models — Swaminathan Rajaraman, Joseph Potter, et al. · IEEE Sensors Letters (2025) | TGRS Research Map | TGRS