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

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.
Email: info(@)lightforminc.com Tel: +1(908) 281-9098 LightForm, Inc. 825C Merrimon Ave., Suite 351 Asheville NC 28804 USA  Copyright © LightForm, Inc., 2022  | Pioneering Analytical Hyperspectral Microscopy Since 1996 PARISS ® is a registered trademark of LightForm, Inc   Mailing address Contact Contact LightForm Contact LightForm

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

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 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.
Email: info(@)lightforminc.com Tel: +1(908) 281-9098 LightForm, Inc.,825C Merrimon Ave., Suite 351Asheville NC 28804 USA Copyright © LightForm, Inc., 2022  | Pioneering Analytical Hyperspectral Microscopy Since 1996  PARISS ® is a registered trademark of LightForm, Inc Mailing address Contact

PARISS® Hyperspectral Imaging Software