We have developed an instrument and a method to perform in vivo hyperspectral imaging of the human iris in order to quantitatively measure its spectral reflectance. Understanding age-related changes in the reflectance properties of the iris is important for multiple aspects of vision research. The images are acquired in the spectral range 450-810nm from three healthy volunteers. The spectral resolution is equal to 30nm, while each image of 1024×768 pixels has a spatial resolution of 22.5μm. The instrument appears suitable for measuring iris pigmentation changes over time. These measurements could offer new diagnostic possibilities in ophthalmology.

An improved imaging system for hyperspectral analysis of the human iris / Di Cecilia, Luca; Marazzi, Francesco; Rovati, Luigi. - (2017), pp. 362-366. (Intervento presentato al convegno 3rd IEEE International Forum on Research and Technologies for Society and Industry, RTSI 2017 tenutosi a ita nel 2017) [10.1109/RTSI.2017.8065929].

An improved imaging system for hyperspectral analysis of the human iris

Di Cecilia, Luca;Marazzi, Francesco;Rovati, Luigi
2017

Abstract

We have developed an instrument and a method to perform in vivo hyperspectral imaging of the human iris in order to quantitatively measure its spectral reflectance. Understanding age-related changes in the reflectance properties of the iris is important for multiple aspects of vision research. The images are acquired in the spectral range 450-810nm from three healthy volunteers. The spectral resolution is equal to 30nm, while each image of 1024×768 pixels has a spatial resolution of 22.5μm. The instrument appears suitable for measuring iris pigmentation changes over time. These measurements could offer new diagnostic possibilities in ophthalmology.
2017
3rd IEEE International Forum on Research and Technologies for Society and Industry, RTSI 2017
ita
2017
362
366
Di Cecilia, Luca; Marazzi, Francesco; Rovati, Luigi
An improved imaging system for hyperspectral analysis of the human iris / Di Cecilia, Luca; Marazzi, Francesco; Rovati, Luigi. - (2017), pp. 362-366. (Intervento presentato al convegno 3rd IEEE International Forum on Research and Technologies for Society and Industry, RTSI 2017 tenutosi a ita nel 2017) [10.1109/RTSI.2017.8065929].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1153544
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