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Spectra Insight™ Software  
Hyperspectral Imaging
Hyperspectral Cube

Main Application Screen: Menu (top), database (left), Image plane of selected bandwidth(s) with cross-sections and histogram (middle), Spectrum at cursor position (upper right), Statistics of entire cube (lower right).

Hyperspectral Cube: The Cube is like a 3D x-ray, where all spectral regions within the cube are viewable by rotating, panning, zooming, and slicing through the cube.

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Brochure Download

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Overview

 

Spectral Insight acquires and processes spectral data in near-real time from virtual any imaging spectrometer. Spectral data can be imported from 3rd party sources for analysis. Image size/resolution and spectral range/resolution are limited only by the imaging spectrometer.

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Spectral Insight utilizes fast voxel processing to display thousands of spectral images as a movie or as a rotating 3D volume in real-time. Each planar image or 3D volume are assigned unique color palettes associated with a wavelength or set of wavelengths. For example, wavelengths in the blue region can be given a blue scale pallet ranging from 0-255 while images in the infrared wavelength region are given a grey scale palette ranging from 0-255.

 

Within the 3D volume, virtual images are stacked and displayable in three different planes xy, xz, and yz and displayed as a movie. There is a full spectrum at each xy position, a set of y-coordinates as a function of x-position and wavelength, and a full set of x-coordinates as a function of y-position and wavelength. A spectrometer with 2048 wavebands scanning across 1000 xy-points provides 2048+1000+1000 (4048) unique images to display and analyze for unique characteristics of each measurement sample. Each image plane is color coded to enhance important aspects of the measurement sample.

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Each pixel, region, spectral image, and 3D volume can be analyzed for anomalies and/or compared with native or 3rd party spectral databases.

Partial Feature Summary:

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  • Spectral data acquisition over user selectable areas and resolutions.

  • Selectable wavelength ranges and bandwidths (see spectrometer options).

  • Thousands of spectral bands displayed as images or a movie.

  • Unique color palettes for ultra-violet, visible, and infrared wavelengths.

  • Search for anomalies.

  • Search local or online spectral database for signature matching.

  • Analyze entire images, selectable regions, or individual pixels in seconds.

  • Display volumetric, 3D Surface, 2D Image, cross-sections, and pixel spectral data.

  • Spectral normalization using industry standards such as Spectralon White or any desired spectral data.

  • Import 3rd party spectral data for analysis.

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New in Version 2.0

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  • Data Reduction: Three methods including Principle Component Analysis (PCA)

  • Enhanced search with up to 10 classes per second over the entire image

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New in Version 1.2 !

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  • Parallel Processing now allows real-time visualization and statistical analysis of any region within a Hyperspectral 3D Cube containing thousands of images, each at a different wavelength.

  • Using parallel processing, the entire Hyperspectral 3D Image can be scanned for a spectral match of any desired substance within one second using an Intel i7 4-Core 8-Thread processor. For the Hyperspectral image in Figure 1A, that’s 60,000 spectral searches/matches in one second. Much higher speeds can be achieved with higher end computers and/or additional processers without any change to the Spectra Insight software.

  • Pseudo RGB color images can now be simulated across any spectral range.

  • Multiple wavelength planes can be analyzed individually or simultaneously.

 

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Flexibility

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Color of cross sections is average of that particular color band. Grey cross section is the near infrared band (780 to 1100 nm).

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