Development of a highly mobile and versatile large MA‐XRF scanner for in situ analyses of painted work of arts-Reference-Cited by-同舟云学术

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Development of a highly mobile and versatile large MA‐XRF scanner for in situ analyses of painted work of arts

Published:2020-07-22 Issue:4 Volume:50 Page:263-271
ISSN:0049-8246
Container-title:X-Ray Spectrometry
language:en
Short-container-title:X‐Ray Spectrom

Author:

Pouyet Emeline¹,Barbi Nicholas²,Chopp Henry³,Healy Owen²,Katsaggelos Aggelos³,Moak Sophia¹,Mott Rick⁴,Vermeulen Marc¹,Walton Marc¹^ORCID

Affiliation:

1. Center for Scientific Studies in the Arts Northwestern University Evanston Illinois USA

2. ON Science LLC Sarasota Florida USA

3. Department of Electrical Engineering Northwestern University Evanston Illinois USA

4. PulseTor LLC Pennington New Jersey USA

Funder

Andrew W. Mellon Foundation

Northwestern University

Publisher

Wiley

Subject

Spectroscopy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/xrs.3173

Reference21 articles.

1. Non-Invasive and Non-Destructive Examination of Artistic Pigments, Paints, and Paintings by Means of X-Ray Methods

2. Recent developments in spectroscopic imaging techniques for historical paintings - A review

3. A mobile instrument for in situ scanning macro-XRF investigation of historical paintings

4. Development of a versatile XRF scanner for the elemental imaging of paintworks

5. Development of a translation stage for in situ noninvasive analysis and high-resolution imaging

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1. Possibilities of various arrangements of X-ray fluorescence analysis in the study of paintings;Radiation Physics and Chemistry;2024-07

2. MA-XRF datasets analysis based on convolutional neural network: A case study on religious panel paintings;Chemometrics and Intelligent Laboratory Systems;2024-07

3. Scanning Micro X-ray Fluorescence and Multispectral Imaging Fusion: A Case Study on Postage Stamps;Journal of Imaging;2024-04-22

4. Application of Macro X-ray Fluorescence Fast Mapping to Thickness Estimation of Layered Pigments;Sustainability;2024-03-15

5. Multi-Sensor Scanners and Machine-Learning Data Processing: A Novel Instrumentation and Data Analysis Method in Heritage Science;2023 23rd International Conference on Transparent Optical Networks (ICTON);2023-07-02

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