An innovative protocol for the study of painting materials involving the combined use of MA-XRF maps and hyperspectral images

9Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.
Get full text

Abstract

X-ray fluorescence (XRF) and reflectance spectroscopy (RS) are commonly used for the characterization of painting materials. It is well known that the former provides the chemical fingerprint of the pictorial layers, while the latter returns the molecular description of the pigments constituting the uppermost layers. Even if these two techniques cannot unveil the stratigraphy, their synergetic application well describes the materials employed for realizing the panels and represents a key turn for non-invasive scientific analysis of works of art. However, the potential of the cross-comparison between XRF and RS is not fully exploited yet. The measurement points often barely match, and they are usually few isolated spots spread over the whole surface of the painting; these facts limit the mutual exchange of information between the data sets and can lead to losing details. In this scenario, XRF mapping (MA-XRF) and hyperspectral reflectance imaging (HRI) provide a connection channel that promises to be a decisive tool to strengthen the relationship between X-ray fluorescence and reflectance spectroscopy and, therefore, to deepen the knowledge about the case studies. Due to the spatial localization of the information they contain, the maps provide not only a straightforward reference for comparing the data but also a three-dimensional collection of elemental and molecular images. By applying computer vision and statistical methods such as spectral angle mapper (SAM), it is possible to implement an innovative approach that exploits the elemental features, obtained from XRF spectra, to improve the comprehension of the molecular aspects given by RS, and vice versa. Once we discussed the main issues behind our approach, we applied it to analyze the painting Chariot Race by Giorgio De Chirico (1928–1929, oil on canvas, Pinacoteca di Brera, Milan, Italy). The results reflect the complexity of the painting, and even if only some of the spectra identified by the method as peculiar are ascribable to recognizable pigments, the mutual correspondence between elemental distributions and SAM maps defines a mixture of materials that matches the description given by the artist in his “Small Treatise on Pictorial Technique” (De Chirico in Abscondita, 2019).

References Powered by Scopus

A Cluster Separation Measure

6600Citations
N/AReaders
Get full text

Image segmentation techniques.

1921Citations
N/AReaders
Get full text

Remote sensing digital image analysis

1399Citations
N/AReaders
Get full text

Cited by Powered by Scopus

FUXYA2020: A Low-Cost Homemade Portable EDXRF Spectrometer for Cultural Heritage Applications

9Citations
N/AReaders
Get full text

IRIS: A novel integrated instrument for co-registered MA-XRF mapping and VNIR-SWIR hyperspectral imaging

7Citations
N/AReaders
Get full text

Control of non-Newtonian fluid flow and heat transfer in microchannel by using porous triangular ribs and pulsating jet

5Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Galli, A., Caccia, M., Caglio, S., Bonizzoni, L., Castiglioni, I., Gironda, M., … Martini, M. (2022). An innovative protocol for the study of painting materials involving the combined use of MA-XRF maps and hyperspectral images. European Physical Journal Plus, 137(1). https://doi.org/10.1140/epjp/s13360-021-02183-4

Readers' Seniority

Tooltip

Professor / Associate Prof. 2

29%

PhD / Post grad / Masters / Doc 2

29%

Researcher 2

29%

Lecturer / Post doc 1

14%

Readers' Discipline

Tooltip

Chemistry 2

40%

Materials Science 1

20%

Physics and Astronomy 1

20%

Engineering 1

20%

Save time finding and organizing research with Mendeley

Sign up for free