Hostname: page-component-84b7d79bbc-lrf7s Total loading time: 0 Render date: 2024-07-28T05:24:46.206Z Has data issue: false hasContentIssue false
  • English
  • Français

Advancements in portable and lab based XRF instrumentation for analysis in cultural heritage: A change in perspective

Published online by Cambridge University Press:  30 July 2021

Aaron Shugar
Aaron Shugar*
Affiliation:
Buffalo State College - SUNY, New York, United States

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Portable- and Laboratory-based Approaches to Analysis in Cultural Heritage
Information
Microscopy and Microanalysis , Volume 27 , Supplement S1 , August 2021 , pp. 2552 - 2553
Check for updates
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

Shugar, A. N. Handheld Macro-XRF Scanning: Development of Collimators for Sub-Mm Resolution. In Proceedings of the Fourth International Symposium on Analytical MethodsIn Philately; 2020; pp 13–20.Google Scholar
Pocobene, G.; Chloros, J.; Shugar, A. N.; Kaiser, B.; Newman, R.; Books, C. Titian's Rape of Europa: Artist's Pigments and Changes Revealed through Macro-XRF Mapping; Jacksonville Florida, 2021.Google Scholar
Pouyet, E.; Devine, S.; Grafakos, T.; Kieckhefer, R.; Salvant, J.; Smieska, L.; Woll, A.; Katsaggelos, A.; Cossairt, O.; Walton, M. Revealing the Biography of a Hidden Medieval Manuscript Using Synchrotron and Conventional Imaging Techniques. Analytica chimica acta 2017, 982, 20–30.Google ScholarPubMed
Dooley, K. A.; Conover, D. M.; Glinsman, L. D.; Delaney, J. K. Complementary Standoff Chemical Imaging to Map and Identify Artist Materials in an Early Italian Renaissance Panel Painting. Angew Chem Int Ed Engl 2014, 53 (50), 13775–13779. https://doi.org/10.1002/anie.201407893.CrossRefGoogle Scholar
Drake, L. B.; Shugar, A. N.; Kipnis, E. Machine Learning. In Advances in Portable X-ray Spectrometry; Forthcoming.Google Scholar
Shugar, A. N.; Drake, L. B.; Kelley, G. Identification of Wood Species Using XRF and Machine Learning: A Pilot Study. Forthcoming.Google Scholar
Kogou, S.; Lee, L.; Shahtahmassebi, G.; Liang, H. A New Approach to the Interpretation of XRF Spectral Imaging Data Using Neural Networks. X-Ray Spectrometry 2020, 1–10. https://doi.org/10.1002/xrs.3188.Google Scholar