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PARISS® Hyperspectral Imaging Software

 

PARISS hyperspectral imaging software algorithms are based on Spectral Waveform Cross Correlation Algorithms (SWCCA) to increase sensitivity and reduce acquisition times.

SWCCA is the perfect choice even when signal is buried in “noise.”

PARISS® Hyperspectral Imaging Software Workflow Using Spectral Waveform Cross Correlation Analysis (SWCCA)

 

Hyperspectral imaging software using spectral waveform cross correlation analysis

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PARISS Hyperspectral Software: Spectral Waveform Cross Correlation Analysis (SWCCA)

A challenge for all hyperspectral imaging software is the ability to process low signal to noise (S/N) data.

Hyperspectral applications such as nanoparticle characterization, fluorescence labeling, and solar materials  research  often present low S/N conditions that challenge linear algorithms.

However, low S/N in a complex background is an everyday challenge faced by the seismology, radar and sonar communities.

Their solution? Use cross correlation algorithms (CCA) rather than the traditional linear algorithms used by the imaging communities.

Team LightForm determined that CCA, when applied to hyperspectral imaging data sets, increased sensitivity and reduced acquisition times. (CCA becomes SWCCA when the application presents spectral “waveforms”)

SWCCA is linearity independent working equally well under both linear and non-linear conditions.  Therefore, SWCCA is not subject to the errors produced by misapplying linear algorithms to non-linear relationships.

The PARISS imaging software is compatible with the PARISS spectrograph/spectrometer and  hyperspectral microscope.

PARISS SWCCA Extracts Signal From Noise Even In Non-Linear Conditions

  • Utilizes proprietary algorithms developed in house, based on Spectral Waveform Cross Correlation Analysis (SWCCA)
  • Linearity independent SWCCA algorithms accommodate non-linear spectral mixing that normally occurs in biological samples.
  • Highly tolerant of low S/N spectra: enables the generation of robust Reference Spectral Libraries (RSL) and correlation between sample spectra and RSL spectra.
  • Reference Spectral Libraries that truly represent your samples.
  • Enables accurate spectral segmentation.
  • Standardized spectra Spectra acquired with PARISS can be standardized in absorption, % transmission/reflection.
  • Publication ready spectra can be compared with spectra acquired on any other analytical instrument.
  • Powerful topographical mapping: spectra from the FOV that “correlate” with RSL spectra can be pseudo-colored and “painted” onto a gray-scale image, with pixel-perfect accuracy.

PARISS "SWCCA" Hyperspectral Software Includes:

  • Logical operators: “equals” and “not equals” at a user defined threshold. Controls risk of false positives or negatives.
  • User created “real life” reference spectral libraries:
  • Hyperspectral imaging software includes spectral topographical mapping:  Map the location in a FOV of all or some target objects.
  • SWCCA algorithms capture natural variations in spectral profile that indicate change such as: pH, ion-concentration, charge, and conformation.
  • Measure change over time: PARISS can acquire spectra automatically over a user defined period, then play the results back as a movie.
  • Observe raw spectra: all acquisitions can be exported to third party math or imaging programs.

PARISS users: access your active operating manual (password required) here

How PARISS Analytical Hyperspectral Imaging Works

How PARISS Hyperspectral Wavelength Dispersive Imaging Works

Darkfield hyperspectral nanoparticle characterization 

How PARISS hyperspectral imaging microscopy works

PARISS hyperspectral imaging microscopy modes of operation