Integrating optical imaging of mummy mask cartonnage

Michael Toth, Cynthia Toth, William Christens-Barry, Sina Farsia, G Li, Adam Gibson, Melissa Terras

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This rapid development and testing project captured data from multiple digital imaging techniques to try to see texts in papyrus mâché mummy mask cartonnage layers. Prior studies by other scholars destroyed the masks to access the papyri, denying future researcher access to the primary historical artefacts. This international, multidisciplinary project assessed the feasibility of integrating non-destructive digital imaging technologies to make texts visible in images of papyrus in mummy mask cartonnages for open research and analysis. The team used both optical multispectral imaging and optical coherence tomography at Duke University to try to detect the presence of text and offer scientifically valid approaches for documenting the initial state of objects and their production for future research and analysis without their destruction.
    Original languageEnglish
    Title of host publicationArchiving 2018 Final Program and Proceedings
    Place of PublicationWashington, D.C.
    PublisherSociety for Imaging Science and Technology
    Pages157-162
    Number of pages6
    Volume2018
    ISBN (Print)9780892083329
    DOIs
    Publication statusPublished - 20 Apr 2018
    EventSociety for Imaging Science and Technology Archiving Conference - The National Archives building, Washington, United States
    Duration: 17 Apr 201820 Apr 2018
    http://www.imaging.org/site/IST/IST/Conferences/Archiving/Archiving_Home.aspx

    Publication series

    NameArchiving Conference
    Volume2018
    ISSN (Print)2161-8798
    ISSN (Electronic)2168-3204

    Conference

    ConferenceSociety for Imaging Science and Technology Archiving Conference
    Abbreviated title IS and T
    Country/TerritoryUnited States
    CityWashington
    Period17/04/1820/04/18
    Internet address

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