journal article·2026-01

A Bio‐Electronic Hybrid Solid–Liquid Pixelated Color Image Sensor Array as a Direct‐to‐Display Artificial Retina Emulator

Ebin Joseph, Claudio Leonardi, Luca Di Nunzio, Maria Assunta Ucci, Manuela Ciocca, Paolo Mariani, Suresh Kumar Podapangi, Luigi Angelo Castriotta, Luigi Vesce, Pier Gianni Medaglia, Gian Carlo Cardarilli, Aldo Di Carlo, Hiroki Asari, Antonella Camaioni, Thomas M. Brown

Advanced Materials Technologies· Volume 11· Issue 2
Publisher page

Abstract

Abstract Inspired by animal retina architectures, a proof‐of‐concept hybrid solid–liquid biocompatible image sensor array that integrates biological and artificial photodetection mechanisms is presented. The device comprises 16‐pixel sensors combining printed organic semiconductors, laser‐patterned transparent microelectrodes, and printed platinum reference electrodes within Ames’ medium—an electrically active, water‐based biological electrolyte widely used in retinal research. Twelve photosensors emulate rod‐like spectra, while a central 2 × 2 photodetector array reproduces the cone‐mediated dichromatic vision sensitivity of mice. Each pixel captures light and converts it into electrical signals through the electrolyte. Color images are generated on a display in real time by processing light‐evoked signals from the array, with rod‐like pixels contributing grayscale contrast proportional to irradiance. Each pixelated sensor unit, consisting of electrode/polymer/retinal‐water‐based‐medium, functions as a true biohybrid photoreceptor, merging biological/artificial and liquid/solid components. The device exhibits tens of millisecond‐scale temporal responses, typical of water‐ionic‐based biological retinas, and sensitivities comparable to solid‐state polymer semiconductor photodetectors. By replicating spectral and temporal responses of natural photoreceptors, along with their characteristic photogenerated electrical signatures, this scalable, biocompatible technology platform bridges living and electronic systems, opening new pathways for understanding the biophysics and engineering of phototransduction in biological liquid environments, artificial vision, adaptive biointerfaces, and neuromorphic sensory processing.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Neuroscience and Neural Engineering · Advanced Memory and Neural Computing · Analytical Chemistry and Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electronic Engineering University of Rome Tor Vergata Rome 00133 Italy

CHOSE (Centre for Hybrid and Organic Solar Energy) Department of Electronic Engineering University of Rome Tor Vergata Rome 00133 Italy

Department of Industrial Engineering University of Rome Tor Vergata Rome 00133 Italy

Department of Biomedicine and Prevention University of Rome Tor Vergata Rome 00133 Italy

Faculty of Engineering Free University of Bozen‐Bolzano Bolzano 39100 Italy

CNR‐ISM – Institute for Structure of Matter National Research Council Rome 00133 Italy

Department of Physics University of Rome Tor Vergata Via della Ricerca Scientifica 1 Rome 00133 Italy

Epigenetics and Neurobiology Unit European Molecular Biology Laboratory Monterotondo 00015 Italy

Funding

Air Force Office of Scientific Research · Università degli Studi di Roma Tor Vergata

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