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Results 1 - 10 of 100 for Hyperspectral imaging
  • Supplier Profile
    ABB Space and Defense Systems is a diversified, internationally recognized optical instruments system integrator offering a full range of high technology products and services for the defence &...
  • Equipment
    ABB is expanding its line of remote sensing products with a launch of new FT-IR hyperspectral imaging spectroradiometer, which operates in the infrared.
  • Supplier Profile
    Photon etc. offers state-of-the-art photonic and optical research instrumentation, from laser line tunable filters to widefield and microscopy hyperspectral imaging systems. Its patented spectral...
  • Supplier Profile
    SPECIM having extensive experience in optical spectrometry. Specim has long standing experience in developing solutions for spectrometric applications, optics and instruments in the field of...
  • Supplier Profile
    Hamamatsu Photonics is a leading manufacturer of devices for the generation and measurement of infrared, visible, and ultraviolet light. These devices include photodiodes, photomultiplier tubes,...
  • News - 31 Jan 2011
    Imec designs next-generation, low-cost imaging systems such as smart zone lenses and hyperspectral cameras. These imaging systems are based on micromirror technologies. New features, which are...
  • Supplier Profile
    Teledyne Judson Technologies offers a complete line of products for sensing from the visible to the long wave infrared (LWIR) of the light spectrum, producing detectors, arrays, and cameras that help...
  • Supplier Profile
    ChemImage has developed a complete suite of hyperspectral and molecular chemical imaging products, chemical imaging software, contract pharmaceutical services, consulting services and in-depth...
  • News - 21 Feb 2024
    Hyperspectral imaging (HSI) provides spectral information about hemoglobin, water, and oxygen supply and thus has great potential in perfusion monitoring. This study explored HSI's feasibility in...
  • News - 13 Apr 2022
    Machine vision is increasingly important for many applications, such as object classification. However, relying on conventional RGB imaging is sometimes insufficient - the input images are just too...

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