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PARISS® Hyperspectral Imaging Software

 

PARISS hyperspectral imaging software performs supervised and un-supervised spectral classification and creates reference spectral libraries.

Signals buried in noise are revealed using spectral waveform cross-correlation (SWCCA)

PARISS® Hyperspectral Imaging Field-Scanning Software Workflow

 

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PARISS Spectral Imaging Software Classification/Recognition Panel

PARISS Spectral Imaging Spectroscopy Software Essentials

 

Programing language: Python.

Spectral classification:   Unsupervised and supervised spectral classification.  The user controls the number of revealed classes.  Algorithms based on Spectral Waveform Cross-Correlation (SWCCA)

Reference Spectral Libraries (RSL): A libraries of spectral classes that correlate with known objects or conditions. Classes can be added or removed, named and pseudo-colored by the user

Spectral recognition:  Correlates spectra presented by objects in the FOV with library spectra. The user selects the degree of correlation as a function of a user-selected minimum correlation coefficient (MCC) based on SWCCA.

Spectroscopy functions: Math functions enable % Reflection, %Transmission, Fluorescence, Luminescence…

SPectral plots: Single and multiple in 3D

Camera control: Both the spectrum camera and observed image cameras

Statistics: Display in a histogram or pie-chart format

 

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 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

Darkfield hyperspectral nanoparticle characterization 

How PARISS hyperspectral imaging microscopy works

PARISS hyperspectral imaging microscopy modes of operation

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