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Macroscale multimodal imaging reveals ancient painting production technology and the vogue in Greco-Roman Egypt

机译:宏观多模态成像揭示了古希腊绘画生产技术和希腊古罗马时代的时尚

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摘要

Macroscale multimodal chemical imaging combining hyperspectral diffuse reflectance (400–2500 nm), luminescence (400–1000 nm), and X-ray fluorescence (XRF, 2 to 25 keV) data, is uniquely equipped for noninvasive characterization of heterogeneous complex systems such as paintings. Here we present the first application of multimodal chemical imaging to analyze the production technology of an 1,800-year-old painting and one of the oldest surviving encaustic (“burned in”) paintings in the world. Co-registration of the data cubes from these three hyperspectral imaging modalities enabled the comparison of reflectance, luminescence, and XRF spectra at each pixel in the image for the entire painting. By comparing the molecular and elemental spectral signatures at each pixel, this fusion of the data allowed for a more thorough identification and mapping of the painting’s constituent organic and inorganic materials, revealing key information on the selection of raw materials, production sequence and the fashion aesthetics and chemical arts practiced in Egypt in the second century AD.
机译:结合多光谱漫反射率(400-2500 nm),发光(400-1000 nm)和X射线荧光(XRF,2至25 keV)数据的宏观多模态化学成像,可独特地用于非侵入性表征异质复杂系统,例如绘画。在这里,我们展示了多峰化学成像的首次应用,以分析一幅具有1800年历史的画作和世界上最古老的现存蜡染(“烧入”)画作中的一种。通过这三种高光谱成像模式对数据立方体的共配准,可以比较整个绘画过程中图像中每个像素处的反射率,发光度和XRF光谱。通过比较每个像素处的分子和元素光谱特征,数据的融合使得可以更彻底地识别和绘制绘画的有机和无机材料成分,从而揭示有关原材料选择,生产顺序和时尚美学的关键信息和公元二世纪在埃及实践的化学艺术。

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