2023
DOI: 10.1140/epjp/s13360-022-03639-x
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Novel integration of non-invasive imaging techniques for the analysis of an egg tempera painting by Pietro Lorenzetti

Abstract: The identification of an artist's palette through the application of non-invasive techniques is a challenging goal due to the huge variety of artistic materials that constitutes a painting. An effective approach is to combine several techniques providing complementary information in order to minimise the risk of misinterpreting the data. In this paper, we propose a multi-analytical method comprising three non-invasive mapping techniques, namely Reflectance Imaging Spectroscopy (RIS), Macro-X-Ray Fluorescence (… Show more

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Cited by 5 publications
(1 citation statement)
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“…The SC maps relative to the flesh tone are reported in Figure 9. Consistent with the previously identified elemental composition and artistic practices of the time [29], the artist utilised a combination of green earth, yellow ochre, and burnt sienna for the shadows and midtones; the highlights and warmer tones were achieved with white lead, vermilion, and red lacquer. The vegetation (Figure 10a-c) was realized with malachite and vine black (foliage), with a mixture of green earth, copper green, and azurite for the leaves located at the edges of the tree crown and on the trunk.…”
Section: Spectral Correlation Mapping (Scm)mentioning
confidence: 66%
“…The SC maps relative to the flesh tone are reported in Figure 9. Consistent with the previously identified elemental composition and artistic practices of the time [29], the artist utilised a combination of green earth, yellow ochre, and burnt sienna for the shadows and midtones; the highlights and warmer tones were achieved with white lead, vermilion, and red lacquer. The vegetation (Figure 10a-c) was realized with malachite and vine black (foliage), with a mixture of green earth, copper green, and azurite for the leaves located at the edges of the tree crown and on the trunk.…”
Section: Spectral Correlation Mapping (Scm)mentioning
confidence: 66%