Recently, a novel technique, Photoacoustic Imaging, predominantly developed in the context of biomedical research, has been applied to CH objects.
The photoacoustic signal can overcome limitations of light and offer substantially improved detection sensitivity at high spatial resolution.
The technique has been proved to be capable of uncovering “hidden” features in multi-layered CH objects such as paintings and determining the thickness of thin layers thus providing micrometric precision stratigraphic information.
Finally, the potential of applying the photoacoustic signal for the in situ and real-time monitoring of laser cleaning interventions is currently investigated.
- “Development of a hybrid photoacoustic and optical monitoring system for the study of laser ablation processes upon the removal of encrustation from stonework”, A. Papanikolaou, G. J. Tserevelakis, K. Melessanaki, C. Fotakis, G. Zacharakis, P. Pouli, Opto-Electronic Advances 3, 2, 190037‐1 (2020); doi.org/10.29026/oea.2020.190037
- “Non-invasive photoacoustic detection of hidden underdrawings in paintings using air-coupled transducers”, G. J. Tserevelakis, P. Siozos, A. Papanikolaou, K. Melessanaki, G. Zacharakis, Ultrasonics 98, 94-98 (2019); doi.org/10.1016/j.ultras.2019.06.008
- “Combined multiphoton fluorescence microscopy and photoacoustic imaging for stratigraphic analysis of paintings”, G.J. Tserevelakis, V. Tsafas, K. Melessanaki, G. Zacharakis, G. Filippidis, Optics Letters 44, 1154-1157 (2019); doi.org/10.1364/OL.44.001154
- “Combined photoacoustic imaging to delineate the internal structure of paintings”, A. dal Fovo, G.J. Tserevelakis, A. Papanikolaou, G. Zacharakis, R. Fontana, Optics Letters 44, 4, 919-922 (2019); doi.org/10.1364/OL.44.000919.
- “On-line photoacoustic monitoring of laser cleaning on stone: Evaluation of cleaning effectiveness and detection of potential damage to the substrate”, G.J. Tserevelakis, J.S. Pozo-Antonio, P. Siozos, T. Rivas, P. Pouli, G. Zacharakis, Journal of Cultural Heritage 35, 108- 115 (2019), https://doi.org/10.1016/j.culher.2018.05.014
- “Photoacoustic signal attenuation analysis for the assessment of thin layers thickness in paintings”, G. J. Tserevelakis, A. dal Fovo, K. Melessanaki, R. Fontana, and G. Zacharakis, Journal of Applied Physics 123, 123102 (2018);doi :10.1063/1.5022749