Translational vision science & technology · 2026
Characterization of a LED-Based Non-Mydriatic Hyperspectral Retinal Camera.
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Labrecque Francis, Jannaud Maxime, Dang Darvy, Hodgson Lauren, van Wijngaarden Peter, Hadoux Xavier
Аннотация
PURPOSE: To present a non-mydriatic hyperspectral retinal camera based on spectral scanning, developed to achieve a practical balance among imaging performance, acquisition speed, and system simplicity for advanced retinal diagnostics.
METHODS: The system integrates LED-based broadband illumination, linear variable filters, custom optics, a monochrome sensor, and a motorized three-dimensional stage to capture high-resolution hyperspectral data across 29 wavebands from 450 to 850 nm. Optical performance was evaluated using standard metrics including spectral resolution, irradiance, uniformity, resolving power, field of view, and chromatic focal compensation. Imaging was performed on model eyes and human subjects to assess spectral signature capture and repeatability.
RESULTS: The system achieved a 40° field of view and a spectral resolution ranging from 20 to 80 nm. Chromatic focal correction and illumination uniformity were maintained across the spectral range. In vivo imaging demonstrated the ability to capture distinct spectral signatures of anatomical structures and ocular pathologies. Test-retest assessments showed high repeatability, with spectral variation below 5%. The device operated under non-mydriatic conditions with acquisition times of approximately 300 ms.
CONCLUSIONS: The prototype demonstrates reliable and repeatable hyperspectral imaging of the retina in a compact and semi-automated form factor. The system offers a foundation for further optimization, including improved spectral precision, artifact reduction, and increased field of view.
TRANSLATIONAL RELEVANCE: This technology enables non-invasive, high-content retinal imaging suitable for integration into clinical workflows.
METHODS: The system integrates LED-based broadband illumination, linear variable filters, custom optics, a monochrome sensor, and a motorized three-dimensional stage to capture high-resolution hyperspectral data across 29 wavebands from 450 to 850 nm. Optical performance was evaluated using standard metrics including spectral resolution, irradiance, uniformity, resolving power, field of view, and chromatic focal compensation. Imaging was performed on model eyes and human subjects to assess spectral signature capture and repeatability.
RESULTS: The system achieved a 40° field of view and a spectral resolution ranging from 20 to 80 nm. Chromatic focal correction and illumination uniformity were maintained across the spectral range. In vivo imaging demonstrated the ability to capture distinct spectral signatures of anatomical structures and ocular pathologies. Test-retest assessments showed high repeatability, with spectral variation below 5%. The device operated under non-mydriatic conditions with acquisition times of approximately 300 ms.
CONCLUSIONS: The prototype demonstrates reliable and repeatable hyperspectral imaging of the retina in a compact and semi-automated form factor. The system offers a foundation for further optimization, including improved spectral precision, artifact reduction, and increased field of view.
TRANSLATIONAL RELEVANCE: This technology enables non-invasive, high-content retinal imaging suitable for integration into clinical workflows.