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

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          Abstract

          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.

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          Spectral and other physicochemical properties of submicron powders of hematite (α-Fe2O3), maghemite (γ-Fe2O3), magnetite (Fe3O4), goethite (α-FeOOH), and lepidocrocite (γ-FeOOH)

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                Author and article information

                Contributors
                kakoulli@ucla.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                14 November 2017
                14 November 2017
                2017
                : 7
                : 15509
                Affiliations
                [1 ]ISNI 0000 0001 2165 7333, GRID grid.431706.7, National Gallery of Art, 6th and Constitution Avenue NW, ; Washington, D.C. 20001 USA
                [2 ]ISNI 0000 0000 9632 6718, GRID grid.19006.3e, Materials Science and Engineering Department, University of California Los Angeles, BOX 951595, Engineering V, ; 410 Westwood Plaza, Los Angeles, CA 90095-1595 USA
                [3 ]ISNI 0000 0001 2341 2786, GRID grid.116068.8, Department of Materials Science and Engineering (DMSE), Massachusetts Institute of Technology (MIT), Room 6-113, ; 77 Massachusetts Ave, Cambridge, Massachusetts 02139 USA
                Author information
                http://orcid.org/0000-0002-1159-5201
                Article
                15743
                10.1038/s41598-017-15743-5
                5686187
                29138483
                657c3a63-df6f-402f-a25d-5f43d5da5ce7
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 July 2017
                : 27 October 2017
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