Hyperspectral Cross Correlation Software Creates Reference Spectral Libraries and Spectral Topographical Maps
PARISS® Hyperspectral Software Reduces or Eliminates The Pain Associated With Linear Spectral Algorithms
PARISS software uses linearity independent algorithms
- 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 occur in biological samples.
- Highly tolerant of low S/N spectra: Enables the generation of robust Reference Spectral Libraries
- Create Reference Spectral Libraries spectral libraries that truly represent your samples.
- Enables accurate spectral segmentation.
- Standardized spectra Spectra acquired with PARISS can be standardized in absorption, % transmission/reflectance.
- Publication ready spectra can be compared with spectra acquired on any other analytical instrument.
- Powerful topographical mapping: Spectra from the FOV that “correlate” with library 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:
- 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, 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 program
PARISS users: Access your active operating manual (Password required) here