Paintings are complex multi-layered structures characterised by high compositional and structural het-erogeneity. Therefore, a combined analytical approach is often required to overcome ambiguities in the interpretation of data acquired by an individual technique. In this paper, we applied three non-invasive imaging techniques for the study of a 14th-century altarpiece by Pietro Lorenzetti belonging to the Uffizi Galleries. In detail, we used reflectance imaging spectroscopy to identify and map the pigments, and re-veal features not visible to the naked eye; to quantify the colorimetric differences induced by the clean-ing; to visualise and measure the micrometric thickness of the paint layers. Then, we applied optical coherence tomography to visualise and measure the micrometric thickness of the material layers. Finally, we carried out fluorescence lifetime imaging to discriminate the pictorial integration from the original painting using a method never before applied to a work of art. The data was discussed within a multi-disciplinary team of experts.& COPY; 2023 Consiglio Nazionale delle Ricerche (CNR). Published by Elsevier Masson SAS. All rights reserved.
Insights into the stratigraphy and palette of a painting by Pietro Lorenzetti through non-invasive methods
Dal Fovo Alice;Mattana Sara;Cicchi Riccardo;Fontana Raffaella
2023
Abstract
Paintings are complex multi-layered structures characterised by high compositional and structural het-erogeneity. Therefore, a combined analytical approach is often required to overcome ambiguities in the interpretation of data acquired by an individual technique. In this paper, we applied three non-invasive imaging techniques for the study of a 14th-century altarpiece by Pietro Lorenzetti belonging to the Uffizi Galleries. In detail, we used reflectance imaging spectroscopy to identify and map the pigments, and re-veal features not visible to the naked eye; to quantify the colorimetric differences induced by the clean-ing; to visualise and measure the micrometric thickness of the paint layers. Then, we applied optical coherence tomography to visualise and measure the micrometric thickness of the material layers. Finally, we carried out fluorescence lifetime imaging to discriminate the pictorial integration from the original painting using a method never before applied to a work of art. The data was discussed within a multi-disciplinary team of experts.& COPY; 2023 Consiglio Nazionale delle Ricerche (CNR). Published by Elsevier Masson SAS. All rights reserved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.