Spectral Data (available December 2019)

This module offers multivariate statistical methods to turn spectral data into actionable knowledge.  Well-utilised spectral information will quickly become a valuable asset that enables visualisation of process variations, prediction of product quality and identification of critical process parameters.

Spectra from both offline and in-process instrumentation can be seamlessly cleaned and transformed using chemometric methodology, to develop fully traceable calibration models for real time applications.

Key features include:

  • Selection of spectral range
  • Pre-processing, including baseline adjustment, Normalisation, Savitzky-Golay Filtering
  • Calibration Modelling using PLS regression and MVSC
  • Visualisation through configurable graphical workflows
  • Audit Summary Report


Our Clients & Partners

Selection of our clients and key partners we work with to improve process efficiency

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