Abstract
The INSIDE research project is aimed at revolutionising the concept of hyperspectral imaging (HSI) in the near-infrared (NIR) and X-ray fluorescence (XRF) spectral domains, evolving from a surface analytical technique to an in-depth 3D spectral tomography. To this aim, the project will investigate on the penetration depth of incident NIR and X radiations and will exploit, for the first time, this property to obtain highly informative 3D NIR and XRF spectral images of heterogeneous samples.
The impact of the cutting-edge analytical solution will be exploited and validated in three main application fields: food analysis, cultural heritage and forensic sciences.
The key factors affecting the penetration depth of NIR and X radiations, as well as their interactions, will be investigated by application of multivariate design of experiments (MDOE). Multivariate unmixing strategies – including multivariate curve resolution (MCR) and super-resolution algorithms – will be applied for gathering 3D chemical information from hyperspectral data in an efficient way. Suitable tools for 3D graphics will be implemented for the conversion of deconvoluted NIR and XRF hyperspectral information into 3D chemical maps.
Departmental scientific manager
Giorgia Sciutto (local manager)
Partnership
Università degli Studi di GENOVA (Italy)
Università degli Studi di TORINO (Italy)