MRS Meetings and Events

 

SB09.09.17 2023 MRS Spring Meeting

Direct-Print-Enabled Customizable Neural Interfaces with Single-Cell and Single-Cell-Type Resolutions

When and Where

Apr 13, 2023
5:00pm - 7:00pm

Moscone West, Level 1, Exhibit Hall

Presenter

Co-Author(s)

Pingyu Wang1,Eric Wu1,Hasan Ulusan2,Andrew Phillips1,Madeline Hays1,Alexandra Kling1,Eric Zhao1,Sasidhar Madugula1,Ramandeep Vilkhu1,Andreas Hierlemann2,Guosong Hong1,E.J. Chichilnisky1,Nicholas Melosh1

Stanford University1,ETH Zürich2

Abstract

Pingyu Wang1,Eric Wu1,Hasan Ulusan2,Andrew Phillips1,Madeline Hays1,Alexandra Kling1,Eric Zhao1,Sasidhar Madugula1,Ramandeep Vilkhu1,Andreas Hierlemann2,Guosong Hong1,E.J. Chichilnisky1,Nicholas Melosh1

Stanford University1,ETH Zürich2
Advanced silicon processing has enabled neural sensing or modulation at an unprecedentedly large scale and a spatial resolution matching that of the neuron density. However, most planar and rigid silicon electronics have limited access to regions within neural tissue, and it still remains challenging to scalably obtain high-density neural activities in 3D. There has been progress in bridging the geometrical gap between silicon electronics and neural tissues, but the demonstrated penetrating electrodes have low spatial density and their fabrication processes can damage sensitive silicon electronics.<br/>Here, we leveraged the state-of-the-art 2-photon polymerization technology to directly build high-density penetrating microelectrode arrays onto silicon electronics. We demonstrate with an array consisting of 6,600 electrodes pitched at 35 microns and with varying heights. The customizability of the process allows tailoring of array shape and spatial density to target different tissue shape or neuron density. As a proof-of-principle demonstration, we recorded retinal ganglion cell activities <i>ex vivo</i>, and were able to distinguish the neural activities with single-cell and single-cell-type resolution. We believe this technology will be crucial for next-generation neural interfaces that enable communication with neural circuits using their natural neural codes.

Keywords

3D printing

Symposium Organizers

Lihua Jin, University of California, Los Angeles
Jiheong Kang, Korea Advanced Institute of Science and Technology
Jia Liu, Harvard University
Zhiyuan Liu, Chinese Academy of Sciences

Session Chairs

Lihua Jin
Jia Liu
Zhiyuan Liu

In this Session

SB09.09.01
Enhancing Ion Injection Kinetics in Organic Mixed Ionic-Electronic Conductors by Balancing Crystalline and Amorphous Regions

SB09.09.02
Ultrasoft Stretchable Electronics for Stable and Imperceptible Integration with Soft, Dynamic Bio-Tissues

SB09.09.03
Probing the Initial Steps in Electrochemical Doping of Organic Mixed Conductors with Photoluminescence Quenching

SB09.09.04
Direct Electrical Biointerfacing with Adhesive and Stretchable Polymer Semiconductors

SB09.09.05
Conductive Hydrogel Nerve Guidance Conduits with NGF-Gradient for Peripheral Nerve Repair in Diabetics

SB09.09.06
Ultra-tough, Highly Conductive and Electrochemically Stable Solid Electrolytes for Accurate Detection of Mechanical Motion

SB09.09.07
Hydrogel Based Anisotropic Conductive Film (H-ACF) for Versatile Electrical Interfacing in Soft Electronics

SB09.09.08
Ionically Conductive, Soft Neural Interface for Non-Faradaic Neurostimulation

SB09.09.09
Electrically Induced Bursting of Aqueous Capsules Made from Biopolymers— ‘Switching On’ the Release of Payloads

SB09.09.10
The Effect of Polyethylene (glycol)diacrylate Post-fabrication Rest Time on Compressive Properties

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