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....