Single-Die-Level MEMS Post-Processing for Prototyping CMOS-Based Neural Probes Combined with Optical Fibers for Optogenetic Neuromodulation

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Authors: Gábor Orbán, Alberto Perna, Matteo Vincenzi, Roberta Adamo, Gian Nicola Angotzi, Luca Berdondini, João Filipe Ribeiro
Cited by: 1
References: 73

Abstract

The integration of complementary metal-oxide-semiconductor (CMOS) and micro-electromechanical systems (MEMSs) technologies for miniaturized biosensor fabrication enables unprecedented spatiotemporal resolution in monitoring the bioelectrical activity of the nervous system. Wafer-level CMOS technology incurs high costs, but multi-project wafer (MPW) runs mitigate this by allowing multiple users to share a single wafer. Still, monolithic CMOS biosensors require specialized surface materials or device geometries incompatible with standard CMOS processes. Performing MEMS post-processing on the few square millimeters available in MPW dies remains a significant challenge. In this paper, we present a MEMS post-processing workflow tailored for CMOS dies that supports both surface material modification and layout shaping for intracortical biosensing applications. To address lithographic limitations on small substrates, we optimized spray-coating photolithography methods that suppress edge effects and enable reliable patterning and lift-off of diverse materials. We fabricated a needle-like, 512-channel simultaneous neural recording active pixel sensor (SiNAPS) technology based neural probe designed for integration with optical fibers for optogenetic studies. To mitigate photoelectric effects induced by light stimulation, we incorporated a photoelectric shield through simple modifications to the photolithography mask. Optical bench testing demonstrated >96% light-shielding effectiveness at 3 mW of light power applied directly to the probe electrodes. In vivo experiments confirmed the probe's capability for high-resolution electrophysiological measurements.

Fields of Study & Subjects

Photoreceptor and optogenetics research Neuroscience and Neural Engineering CCD and CMOS Imaging Sensors

Publication details

Journal / source
Micromachines
Publisher
MDPI AG
Volume
17
Issue
2
Pages
159–159
Publication date
26 January 2026
Language
EN