High-Throughput, Multi-Angle Metasurface-Based Optical Coherence Tomography (OCT) for Rapid Retinal Imaging

**Abstract:** This research introduces a novel Optical Coherence Tomography (OCT) imaging system leveraging metasurface technology for significantly improved data acquisition speed and image resolution. Our approach implements a multi-angle scanning technique using a dynamically reconfigurable metasurface array, enabling rapid data acquisition without mechanical scanning. This system promises to revolutionize retinal imaging, facilitating faster, more comfortable exams, and enabling new diagnostic capabilities. A key innovation is the coupling of a hyperdimensional scoring model to analyze spectral data, drastically improving image reconstruction accuracy and feature extraction—essential for early disease detection. This technology is commercially viable within 3-5 years, with substantial impact on ophthalmology, point-of-care diagnostics, and remote healthcare.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-14
DOI
https://doi.org/10.5281/zenodo.17351153
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
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OCT
article

High-Throughput, Multi-Angle Metasurface-Based Optical Coherence Tomography (OCT) for Rapid Retinal Imaging

Zenodo (CERN European Organization for Nuclear Research)
Oceanographic and Atmospheric Processes
article

High-Throughput, Multi-Angle Metasurface-Based Optical Coherence Tomography (OCT) for Rapid Retinal Imaging

article en

Abstract

**Abstract:** This research introduces a novel Optical Coherence Tomography (OCT) imaging system leveraging metasurface technology for significantly improved data acquisition speed and image resolution. Our approach implements a multi-angle scanning technique using a dynamically reconfigurable metasurface array, enabling rapid data acquisition without mechanical scanning. This system promises to revolutionize retinal imaging, facilitating faster, more comfortable exams, and enabling new diagnostic capabilities. A key innovation is the coupling of a hyperdimensional scoring model to analyze spectral data, drastically improving image reconstruction accuracy and feature extraction—essential for early disease detection. This technology is commercially viable within 3-5 years, with substantial impact on ophthalmology, point-of-care diagnostics, and remote healthcare.

Zenodo (CERN European Organization for Nuclear Research)
Freed–Hardeman University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 38%
Oceanographic and Atmospheric Processes
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