Next Article in Journal
Porous Silicon Based Resonant Mirrors for Biochemical Sensing
Previous Article in Journal
Arc-Welding Spectroscopic Monitoring based on Feature Selection and Neural Networks
Article Menu

Export Article

Open AccessReview
Sensors 2008, 8(10), 6507-6548;

Characterization of Laser Cleaning of Artworks

Institute of Optoelectronics, Military University of Technology, 2 Gen. S. Kaliskiego Str., 00-908 Warsaw, Poland
Academy of Fine Arts in Warsaw, Wybrzeze Kościuszkowskie 37, 00-379 Warsaw, Poland
Institute of Physics, Nicolaus Copernicus University, ul. Grudziądzka 5, 87-100 Toruń, Poland
Author to whom correspondence should be addressed.
Received: 7 July 2008 / Revised: 15 August 2008 / Accepted: 21 October 2008 / Published: 23 October 2008
(This article belongs to the Section Chemical Sensors)
Full-Text   |   PDF [5433 KB, uploaded 21 June 2014]   |  


The main tasks of conservators of artworks and monuments are the estimation and analysis of damages (present condition), object conservation (cleaning process), and the protection of an object against further degradation. One of the physical methods that is becoming more and more popular for dirt removal is the laser cleaning method. This method is non-contact, selective, local, controlled, self-limiting, gives immediate feedback and preserves even the gentlest of relief - the trace of a paintbrush. Paper presents application of different, selected physical sensing methods to characterize condition of works of art as well as laser cleaning process itself. It includes, tested in our laboratories, optical surface measurements (e.g. colorimetry, scatterometry, interferometry), infrared thermography, optical coherent tomography and acoustic measurements for “on-line” evaluation of cleaning progress. Results of laser spectrometry analyses (LIBS, Raman) will illustrate identification and dating of objects superficial layers. View Full-Text
Keywords: Laser cleaning; laser spectroscopy; artwork diagnostics Laser cleaning; laser spectroscopy; artwork diagnostics

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Marczak, J.; Koss, A.; Targowski, P.; Góra, M.; Strzelec, M.; Sarzyński, A.; Skrzeczanowski, W.; Ostrowski, R.; Rycyk, A. Characterization of Laser Cleaning of Artworks. Sensors 2008, 8, 6507-6548.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top