Mr. Eric Laval Profile

Eric Laval

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Proceedings Article | 9 August 2023 Presentation + Paper

An integrated multi-modal architecture for the visualization of macro-XRF elemental distribution maps

Ruven Pillay, Eric Laval

Proceedings Volume 12620, 1262002 (2023) https://doi.org/10.1117/12.2673959

KEYWORDS: Image processing, Visualization, Data acquisition, Open source software, Data processing, Imaging spectroscopy, Data storage, Chemical elements, Fluorescence spectroscopy, Cultural heritage

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Analytical techniques such as macro X-ray fluorescence can capture dense multi-dimensional data that provides unique quantitative information at each point over the surface of a work of art. The processed outputs from scanning Macro-XRF are the elemental distribution maps that provide measurements of the abundance of the constituent elements at each point. The ability to visualize and correlate this data with other imaging modalities is an important step in understanding the material composition of a work of art. However, this data is often in a form which is hard to use directly or integrate with the results from other complementary analytical techniques. For example with the multi-dimensional data produced by reflectance imaging spectroscopy, or even with other standard scientific imaging modalities. As a result, Macro-XRF data is often handled and processed separately and the results only made accessible in the form of exported image renderings. In this paper, therefore, we will examine how Macro-XRF data can be processed into a practical and re-usable form that is compatible with other imaging modalities and how this data can be made more easily available through an integrated platform for multi-modal imaging. Open source software will be presented which implements this architecture, showing how quantitative Macro-XRF data can be visualized interactively through a web browser, integrated with other imaging modalities and how the underlying quantitative data can be made accessible and re-used using open formats and standard protocols.

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