Spectral Mapping Techniques for the Stratigraphic and
Compositional Characterisation of a 16th-Century Painting
Year: 2024
Authors: Dal Fovo A., Morello M., Mazzinghi A., Toso C., Galeotti Monica., Fontana R.
Autors Affiliation: National Research Council—National Institute of Optics (CNR-INO), OPD-Scuola di Alta Formazione e StudioDepartment of Physics and Astronomy, University of Florence, National Institute of Nuclear Physics (INFN), Opificio delle Pietre Dure
Abstract: Identifying a painting’s pigment palette is crucial for comprehending the author’s technique, as well as for evaluating the degradation of the materials. This paper investigates the stratigraphy and pigments distribution of a 16th-century painting from the Uffizi Galleries collection. Firstly, we obtained compositional information through the cross-sectional analysis of samples using scanning
electron microscopy. Secondly, we performed elemental mapping using macro-X-ray fluorescence followed by reflectance imaging spectroscopy. The painting image cube was analysed using the spectral correlation mapping (SCM) classification algorithm to accurately identify the distribution
and composition of the pigment mixtures.
Journal/Review: HERITAGE
Volume: 7 Pages from: 1320 to: 1333
KeyWords: reflectance imaging; spectral correlation;MA-XRF; SEM-EDS; stratigraphy; pigment mappingDOI: 10.3390/heritage7030063Connecting to view paper tab on IsiWeb: Click here