Spatially registered 3D and sequentially shifted Raman mapping for painted surface characterisation

Year: 2026

Authors: Righetti V., Pezzati L., Balbas D.Q., Chaban A., Innocenti S., Raffaelli M., Striova J.

Autors Affiliation: CNR, INO, Largo E Fermi 6, I-50125 Florence, Italy; Univ Roma La Sapienza, Dept Sci Antiqu, Piazzale Aldo Moro 5, I-00186 Rome, Italy.

Abstract: This study presents a novel platform for the non-invasive analysis of painted surfaces, integrating sequentially shifted excitation (SSETM) Raman mapping with 3D scanning. Designed for hardware-registered data acquisition, the system enables automated macro-Raman mapping across extended and uneven surfaces with precise spatial control. To demonstrate the platform potential in accurate material mapping, we showcase the results acquired from purposely prepared acrylic mock-ups and a painting. The coupling of 3D surface information with subsequent Raman spectral acquisition was exploited for precise focus adjustment and co-registration of datasets. We demonstrate the potential of combined 3D and SSETM Raman mapping-so far not implemented in cultural heritage contexts-for non-invasive analyses, even in scenarios with high fluorescent signals. The system’s modular design permits future integration of additional imaging modalities, making it a promising tool for advanced analysis in conservation science.

Journal/Review: JOURNAL OF PHYSICS-PHOTONICS

Volume: 8 (1)      Pages from: 15008-1  to: 15008-12

More Information: This research was supported by the EU ARTEMIS project. G A 101188009. D Q B, A C and S I acknowledge the H2IOSC Project-Humanities and Cultural Heritage Italian Open Science Cloud (www.h2iosc.cnr.it/), funded by the European Union NextGenerationEU-National Recovery and Resilience Plan (NRRP)-Mission 4 ’Education and Research’ Component 2 ’From research to business’ Investment 3.1, ’Fund for the realization of an integrated system of research and innovation infrastructures’, Action 3.1.1 ’Creation of new research infrastructures strengthening of existing ones and their networking for Scientific Excellence under Horizon Europe’-Project code IR0000029-CUP-B63C22000730005. Implementing Entity CNR.
KeyWords: macro-Raman mapping; painting; heritage science; chemical imaging; 3D scanning
DOI: 10.1088/2515-7647/ae1d00