Syringe-injectable electronics with a plug-and-play input/output interface.
Abstract
Syringe-injectable mesh electronics represent a new paradigm for brain science and neural prosthetics by virtue of the stable seamless integration of the electronics with neural tissues, a consequence of the macroporous mesh electronics structure with all size features similar to or less than individual neurons and tissue-like flexibility. These same properties, however, make input/output (I/O) connection to measurement electronics challenging, and work to-date has required methods that could be difficult to implement by the life sciences community. Here we present a new syringe-injectable mesh electronics design with plug-and-play I/O interfacing that is rapid, scalable, and user-friendly to nonexperts. The basic design tapers the ultraflexible mesh electronics to a narrow stem that routes all of the device/electrode interconnects to I/O pads that are inserted into a standard zero insertion force (ZIF) connector. Studies show that the entire plug-and-play mesh electronics can be delivered through capillary needles with precise targeting using microliter-scale injection volumes similar to the standard mesh electronics design. Electrical characterization of mesh electronics containing platinum (Pt) electrodes and silicon (Si) nanowire field-effect transistors (NW-FETs) demonstrates the ability to interface arbitrary devices with a contact resistance of only 3 Ω. Finally, in vivo injection into mice required only minutes for I/O connection and yielded expected local field poten…
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Plug-and-play input/output neural interfacing has been achieved using platinum electrodes and silicon nanowire field-effect transistors, exhibiting a low interface contact resistance of ∼3 Ω.
“Plug-and-play input/output neural interfacing has also been achieved using platinum electrodes and silicon nanowire field-effect transistors, which exhibited a low interface contact resistance of ∼3 Ω (Schuhmann et al., 2017).”
From Human Brain/Cloud Interface (2019) · cites this paper as Schuhmann et al., 2017
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Modulation of Neuronal Firing: What Role Can Nanotechnology Play?
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The 2020 Roadmap for Bioelectronic Medicine
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The 2020 Roadmap for Bioelectronic Medicine
Lowe, A. L., & Thakor, N. V. (2021) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_121-1
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Neuroflex: Intraneural and Extraneural Flexible Sensor Architectures for Neural Probing
Patil, A. C., & Thakor, N. V. (2022) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_16-2
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Neuroflex: Intraneural and Extraneural Flexible Sensor Architectures for Neural Probing
Patil, A. C., & Thakor, N. V. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_16
- Authors
- Schuhmann, T. G., Yao, J., Hong, G., Fu, T.-M., & Lieber, C. M.
- Affiliations
- Harvard University (US)
- John A. Paulson School of Engineering and Applied Sciences and ‡Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, United States
- Corresponding author
- Lieber, Charles M.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-08-14
- Volume
- 17
- Issue
- 9
- Pages
- 5836-5842
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2743743086
- Cited by
- 63
- References
- 39
- Citations by year
- 2025: 3 · 2024: 3 · 2023: 7 · 2022: 6 · 2021: 8 · 2020: 9 · 2019: 14 · 2018: 7 · 2017: 6
- FWCI
- 4.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nano Letters (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Army Research Office
- American Heart Association (16POST27250219)
- Air Force Office of Scientific Research (FA9550-14-1-0136)
- Office of Naval Research
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Nanomaterials and Printing Technologies
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Keywords
- neural recording, neuroprosthetics, platinum electrode, silicon nanowire transistors, in vivo implantation, contact resistance
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