Hyperspectral imaging allows to reconstruct both spatial and quasi-continuous spectral information of an object (i.e., an hypercube), unlike multispectral imaging where the spectrum is divided in few bands. This work shows the innovating combination of single-pixel hyperspectral imaging with reflective-mode optical microscopy to retrieve high-spatial-resolution hypercubes of samples in the visible and in the near-infrared ranges. The spatial resolution reaches around 2.5 μm and the spectral information is sampled over around 200 spectral bands. Furthermore, statistical algorithms enables the clustering of regions of interest of inorganic and organic samples and the identification of spectral responses of targeted cells.
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