Copyright © LightForm Inc, 2011  Hyperspectral Imaging Systems: Collect and Classify Spectra From Areas of a Field of View. Then, Generates a Spectral Topographical “Map” Showing the Location of Classified Spectra that Correlate With Target Objects or Conditions How Hyperspectral Imaging Works See also: The PARISS Hyperspectral Imaging System was used to analyze cutaneous wounds and made the front cover of the journal “BioTechniques” LightForm Inc: PARISS® Analytical Spectral and Hyperspectral Imaging Origins of Hyperspectral Imaging (HSI): HSI originated in the remote Earth sensing community. The goal then, as now, was to convert spectroscopic data into an information- rich image. Landsat, other satellites, and fixed wing aircraft are highly successful users of Hyperspectral Imaging for remote sensing. It is well understood that most objects and conditions present spectral information that correlate well enough to be considered "spectral fingerprints." Hyperspectral imaging makes libraries of "spectral fingerprints" and can use these to creates spectral  "topographical" maps showing target spectral objects, or conditions, in color codes, on a grayscale field of view. Spectral Imaging: An all inclusive term that describes the characterization of a  heterogeneous FOV in terms of their spectral characteristics Hyperspectral imaging: HSI instruments are based on either a diffraction grating or a prism.  The characterization of a heterogeneous field of objects, or conditions, is achieved by the acquisition of many hundreds of contiguous wavelength data points (WDP) to enable  analytical spectroscopic quality.   Target Objects or Conditions: Provided that the field of view presents spectral  signatures in any of absorption, transmission, reflection, fluorescence, luminescence, scattered light... “target objects or conditions” can be almost anything, and can certainly include various proteins, evidence of disease, size of nanoparticles, pH....