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