Chemometric modelling
Spectra contain high volumes of data.
Chemometrics is a tool for extracting complex spectral data, revealing subtle chemical differences through advanced mathematical analysis.
What is Chemometrics?
Chemometrics is the exploration of patterns of association in data.
Chemometric methods enable information to be separated from noise which reveals hidden correlations, and provides a visual approach for data analysis with multiple variables.
Each spectrum is like a fingerprint made up of hundreds or thousands of data points. So instead of analysing a single measurement, chemometric modelling looks at all the varied data points together to find patterns, differences, or trends.
Our models are trained on high-quality data making their predictions accurate and reliable
Principal trend analysis
Reducing data complexity to highlight the most important elements.
Noise reduction & cleaning
Filtering out light scatter and baseline shifts to standardise the data.
Multivariate model building
Application of statistical modelling to capture hidden patterns and trends.