JOURNAL ARTICLE
New robotic tools for multimodal non‐destructive analysis and characterization of 2D and 3D objects.
Published In: Journal of Applied Crystallography, 2025, v. 58, n. 1. P. 168 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Kotrlý, Marek; Uher, Josef; Jakubek, Jan; Skála, Roman; Boháčová, Jana; Turková, Ivana; Starkbaumová, Kamila 3 of 3
Abstract
The forensic field has until now been missing more versatile equipment for non‐destructive characterization, analysis and inspection of 2D and 3D objects. Also, the need for increasingly frequent analysis of art forgeries, where non‐destructive analysis is required at least in the first step, is calling for a multimodal solution. A prototype device for robotic analysis, imaging and mapping of 3D objects is being developed and tested to be used in these areas. The system is based on the principle of integrating imaging and analytical technologies onto six‐axis robotic arms, which allow substantial flexibility in the sample size or shape. The system enables non‐destructive examination of a wide spectrum of samples with complicated curvatures. The new generation of X‐ray imaging detectors provide a high picture quality with a spatial resolution level in the micrometre range in 2D or 3D imaging. The basic version of the robotic scanner allows transmission X‐ray imaging and mapping of the individual photons with high‐sensitivity and high‐resolution detectors. The broad capabilities of XRD imaging are now being complemented by X‐ray fluorescence point analysis and mapping, multispectral macro imaging, and multispectral X‐ray diffraction analysis. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Applied Crystallography. 2025/02, Vol. 58, Issue 1, p168
- Document Type:Article
- Subject Area:Visual Arts
- Publication Date:2025
- ISSN:0021-8898
- DOI:10.1107/S1600576724012536
- Accession Number:183983092
- Copyright Statement:Copyright of Journal of Applied Crystallography is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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