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 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)
How PARISS Analytical Hyperspectral Imaging Works
How PARISS Hyperspectral Wavelength Dispersive Imaging Works