Direct‐Print 3D Electrodes for Large‐Scale, High‐Density, and Customizable Neural Interfaces

Abstract: Silicon‐based microelectronics can scalably record and modulate neural activity at high spatiotemporal resolution, but their planar form factor poses challenges in targeting 3D neural structures. A method for fabricating tissue‐penetrating 3D microelectrodes directly onto planar microelectronics using high‐resolution 3D printing via 2‐photon polymerization and scalable microfabrication technologies are presented. This approach enables customizable electrode shape, height, and positioning for precise targeting of neuron populations distributed in 3D. The effectiveness of this approach is demonstrated in tackling the critical challenge of interfacing with the retina—specifically, selectively targeting retinal ganglion cell (RGC) somas while avoiding the axon bundle layer. 6,600‐microelectrode, 35 µm pitch, tissue‐penetrating arrays are fabricated to obtain high‐fidelity, high‐resolution, and large‐scale retinal recording that reveals little axonal interference, a capability previously undemonstrated. Confocal microscopy further confirms the precise placement of the microelectrodes. This technology can be a versatile solution for interfacing silicon microelectronics with neural structures at a large scale and cellular resolution.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Direct‐Print 3D Electrodes for Large‐Scale, High‐Density, and Customizable Neural Interfaces ; day:26 ; month:11 ; year:2024 ; extent:11 ; Advanced science ; (26.11.2024) (gesamt 11)

Contributors, Places and Time

• Creator: Wang, Pingyu ; Wu, Eric G. ; Uluşan, Hasan ; Zhao, Eric Tianjiao ; Phillips, A.J. ; Kling, Alexandra ; Hays, Madeline Rose ; Vasireddy, Praful Krishna ; Madugula, Sasidhar ; Vilkhu, Ramandeep ; Hierlemann, Andreas ; Hong, Guosong ; Chichilnisky, E.J. ; Melosh, Nicholas A.

Further information

• DOI: 10.1002/advs.202408602
• URN: urn:nbn:de:101:1-2411261346559.660356619099
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:22 AM CEST