RGB (left) and multispectral (center) imaging only provide discrete and discontinuous portions of the spectral range.
Hyperspectral imaging (right) creates a hypercube, which yields the complete and continuous spectrum for each pixel of the image.
Hyperspectral Imaging is a new analytical technique based on spectroscopy. It collects hundreds of images at different wavelengths for the same spatial area.
While the human eye has only three color receptors in the blue, green and red, hyperspectral imaging measures the continuous spectrum of the light for each pixel of the scene with fine wavelength resolution, not only in the visible but also in the near-infrared.
The collected data form a so-called hyperspectral cube, in which two dimensions represent the spatial extent of the scene and the third its spectral content.
HERA is the innovative Hyperspectral camERA designed by NIREOS. Based on NIREOS’ patented common-path interferometer, featuring intrinsic interferometric delay precision, long-term stability and insensitivity to vibrations, it provides superior sensitivity in a compact layout.
It can be employed even in low-light illumination conditions, such as to record faint fluorescence spectra emitted by the different regions of a sample.
While line-scanning (push-broom) hyperspectral cameras contain a slit and a grating, thus limiting the amount of light reaching the detector, HERA features a large clear aperture providing high throughput.
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Each material possesses a specific spectral signature that can be employed as a “fingerprint” for its unique identification. Therefore, hyperspectral imaging finds a wide range of applications such as agriculture, molecular biology, biomedical imaging, cultural heritage, food processing and more.
