This paper provides an overview over the application of scanning macro-XRF with mobile
instruments for the investigation of historical paintings. The method is compared to …

The in situ non invasive methods have experienced a significant development in the last
decade because they meet specific needs of analytical chemistry in the field of cultural …

Scanning macro-X-ray fluorescence analysis (MA-XRF) is rapidly being established as a
technique for the investigation of historical paintings. The elemental distribution images …

Recent studies are concisely reviewed, in which X-ray beams of (sub) micrometre to
millimetre dimensions have been used for non-destructive analysis and characterization of …

Hidden, sub-surface paint layers and features contain valuable information for the art-
historical investigation of a painting's past and for its conservation for coming generations …

X-ray fluorescence (XRF) spectroscopy is a common technique in the field of heritage
science. However, data processing and data interpretation remain a challenge as they are …

The new challenge in the investigation of cultural heritage is the possibility to obtain
stratigraphical information about the distribution of the different organic and inorganic …

Self‐organising map (SOM), an unsupervised machine learning algorithm based on neural
networks, is applied to introduce a novel approach for the analysis of XRF spectral imaging …

Hyperspectral imaging (HSI) has emerged as an effective tool to obtain spatially resolved
spectral information of artworks by combining optical imaging with spectroscopy. This …

This paper presents an adaptive image sampling algorithm based on Deep Learning (DL). It
consists of an adaptive sampling mask generation network which is jointly trained with an …