Volume 10, Issue 6-7 pp. 830-839
Full Article

Snapshot hyperspectral retinal imaging using compact spectral resolving detector array

Hao Li

Hao Li

Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 USA

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Wenzhong Liu

Wenzhong Liu

Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 USA

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Biqin Dong

Biqin Dong

Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 USA

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Joel V. Kaluzny

Joel V. Kaluzny

Department of Ophthalmology, Northwestern University, Chicago, IL 60611 USA

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Amani A. Fawzi

Corresponding Author

Amani A. Fawzi

Department of Ophthalmology, Northwestern University, Chicago, IL 60611 USA

Corresponding authors: e-mail: [email protected]; [email protected]

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Hao F. Zhang

Corresponding Author

Hao F. Zhang

Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 USA

Department of Ophthalmology, Northwestern University, Chicago, IL 60611 USA

Corresponding authors: e-mail: [email protected]; [email protected]

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First published: 19 July 2016
Citations: 28

Abstract

Hyperspectral retinal imaging captures the light spectrum from each imaging pixel. It provides spectrally encoded retinal physiological and morphological information, which could potentially benefit diagnosis and therapeutic monitoring of retinal diseases. The key challenges in hyperspectral retinal imaging are how to achieve snapshot imaging to avoid motions between the images from multiple spectral bands, and how to design a compact snapshot imager suitable for clinical use. Here, we developed a compact, snapshot hyperspectral fundus camera for rodents using a novel spectral resolving detector array (SRDA), on which a thin-film Fabry–Perot cavity filter was monolithically fabricated on each imaging pixel. We achieved hyperspectral retinal imaging with 16 wavelength bands (460 to 630 nm) at 20 fps. We also demonstrated false-color vessel contrast enhancement and retinal oxygen saturation (sO2) measurement through spectral analysis. This work could potentially bring hyperspectral retinal imaging from bench to bedside.

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