Issue |
EPJ Web Conf.
Volume 287, 2023
EOS Annual Meeting (EOSAM 2023)
|
|
---|---|---|
Article Number | 03003 | |
Number of page(s) | 2 | |
Section | Topical Meeting (TOM) 3- Biophotonics | |
DOI | https://doi.org/10.1051/epjconf/202328703003 | |
Published online | 18 October 2023 |
https://doi.org/10.1051/epjconf/202328703003
Hyperspectral imaging of stone biofilms at the macroscopic scale
1 Department of Physics, Politecnico of Milan, Piazza Leonardo Da Vinci 32, Milan, 20133, Italy
2 Department of Chemistry, Material and Chemical Engineering "Giulio Natta", Politecnico of Milan, Piazza Leonardo Da Vinci 32, Milan, 20133, Italy
3 Department of Food, Environmental and Nutritional Sciences, University of Milan, Via Mangiagalli 25, Milan, 20133, Italy
4 Department of Sciences of Antiquity, "La Sapienza" University of Rome, Piazzale Aldo Moro 5, Rome, 00185, Italy
5 CNR-IFN, Piazza Leonardo da Vinci 32, Milan, Italy
* Corresponding author: alessia.candeo@polimi.it, cristianangelo.manzoni@cnr.it
Published online: 18 October 2023
The ability to observe traces of biological material on buildings and stone artworks is of particular importance in understanding how to best deal with them and maybe, in the future, even make use of biofilms for conservation science. We have identified hyperspectral imaging as a viable method for the efficient analysis of such biological materials. Thanks to the high throughput of our approach based on an interferometric method based on Fourier Transform, we were not only able to detect traces of biofilms on stone samples, but also to map in which areas these were found to have higher biological activity.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.