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Direct laser writing of 3D electrodes on flexible substrates

Author

Listed:
  • Morgan A. Brown

    (University of Oregon)

  • Kara M. Zappitelli

    (University of Oregon)

  • Loveprit Singh

    (University of Oregon)

  • Rachel C. Yuan

    (University of Oregon)

  • Melissa Bemrose

    (University of Oregon)

  • Valerie Brogden

    (University of Oregon)

  • David J. Miller

    (University of Oregon)

  • Matthew C. Smear

    (University of Oregon)

  • Stuart F. Cogan

    (The University of Texas at Dallas)

  • Timothy J. Gardner

    (University of Oregon)

Abstract

This report describes a 3D microelectrode array integrated on a thin-film flexible cable for neural recording in small animals. The fabrication process combines traditional silicon thin-film processing techniques and direct laser writing of 3D structures at micron resolution via two-photon lithography. Direct laser-writing of 3D-printed electrodes has been described before, but this report is the first to provide a method for producing high-aspect-ratio structures. One prototype, a 16-channel array with 300 µm pitch, demonstrates successful electrophysiological signal capture from bird and mouse brains. Additional devices include 90 µm pitch arrays, biomimetic mosquito needles that penetrate through the dura of birds, and porous electrodes with enhanced surface area. The rapid 3D printing and wafer-scale methods described here will enable efficient device fabrication and new studies examining the relationship between electrode geometry and electrode performance. Applications include small animal models, nerve interfaces, retinal implants, and other devices requiring compact, high-density 3D electrodes.

Suggested Citation

  • Morgan A. Brown & Kara M. Zappitelli & Loveprit Singh & Rachel C. Yuan & Melissa Bemrose & Valerie Brogden & David J. Miller & Matthew C. Smear & Stuart F. Cogan & Timothy J. Gardner, 2023. "Direct laser writing of 3D electrodes on flexible substrates," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39152-7
    DOI: 10.1038/s41467-023-39152-7
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    References listed on IDEAS

    as
    1. Richard H. R. Hahnloser & Alexay A. Kozhevnikov & Michale S. Fee, 2002. "An ultra-sparse code underliesthe generation of neural sequences in a songbird," Nature, Nature, vol. 419(6902), pages 65-70, September.
    2. James J. Jun & Nicholas A. Steinmetz & Joshua H. Siegle & Daniel J. Denman & Marius Bauza & Brian Barbarits & Albert K. Lee & Costas A. Anastassiou & Alexandru Andrei & Çağatay Aydın & Mladen Barbic &, 2017. "Fully integrated silicon probes for high-density recording of neural activity," Nature, Nature, vol. 551(7679), pages 232-236, November.
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