Artificial spectral vision for studying the spectral, the spatial and the temporal characteristics of dynamic optical phenomena in biomedicine

Abstract
In this paper we present a novel snapshot spectral imager with the distinct advantage of being able to display maps representing different spectral classes in a scene in video rates. The Simultaneous capturing of spectral images through a common aperture is combined with spectral estimation algorithms for improving spectral resolution at no cost to the spatial resolution. The developed real time spectral mapper (RTSM) is validated in a pilot study as a blood oxygen saturation mapper, where its great value in studying the spatiotemporal characteristics of dynamic optical effects was clearly established.

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