Analysis of food via FTIR spectroscopy - key aspects and challenges - spectral data processing (Invited)

Abstract

Analysis of hyperspectral data sets very often requires application of repetitive procedures. Proposed solution based on the R open source Environment has a number of advantages including cost-effectiveness, transferability and scalability. Code-driven analysis complies with the reproducible research requirements. R platform can be used for the analysis of infrared spectra of various types of food samples allowing for dimension reduction, clustering and finally identification and visualization.

Krzysztof Banas

Principal Research Fellow

I work as beam-line scientist at Singapore Synchrotron Light Source. My research interests include application of advanced statistical methods for hyperspectral data processing (dimension reduction, clustering and identification).