Revealing Hidden Features in Multilayered Artworks by Means of an Epi-Illumination Photoacoustic Imaging System.

artwork cultural heritage diagnostics imaging photoacoustic underdrawings

Journal

Journal of imaging
ISSN: 2313-433X
Titre abrégé: J Imaging
Pays: Switzerland
ID NLM: 101698819

Informations de publication

Date de publication:
10 Sep 2021
Historique:
received: 20 07 2021
revised: 30 08 2021
accepted: 08 09 2021
entrez: 26 9 2021
pubmed: 27 9 2021
medline: 27 9 2021
Statut: epublish

Résumé

Photoacoustic imaging is a novel, rapidly expanding technique, which has recently found several applications in artwork diagnostics, including the uncovering of hidden layers in paintings and multilayered documents, as well as the thickness measurement of optically turbid paint layers with high accuracy. However, thus far, all the presented photoacoustic-based imaging technologies dedicated to such measurements have been strictly limited to thin objects due to the detection of signals in transmission geometry. Unavoidably, this issue restricts seriously the applicability of the imaging method, hindering investigations over a wide range of cultural heritage objects with diverse geometrical and structural features. Here, we present an epi-illumination photoacoustic apparatus for diagnosis in heritage science, which integrates laser excitation and respective signal detection on one side, aiming to provide universal information in objects of arbitrary thickness and shape. To evaluate the capabilities of the developed system, we imaged thickly painted mock-ups, in an attempt to reveal hidden graphite layers covered by various optically turbid paints, and compared the measurements with standard near-infrared (NIR) imaging. The obtained results prove that photoacoustic signals reveal underlying sketches with up to 8 times improved contrast, thus paving the way for more relevant applications in the field.

Identifiants

pubmed: 34564109
pii: jimaging7090183
doi: 10.3390/jimaging7090183
pmc: PMC8472515
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : H2020 Laserlab Europe
ID : EC-GA 871124
Organisme : H2020 FETOPEN project "Dynamic"
ID : EC-GA-863203
Organisme : NSRF 2014-2020 "BIOIMAGING-GR"
ID : MIS 5002755
Organisme : HELLAS CH
ID : MIS 5002735
Organisme : INNOVAPROTECT
ID : MIS 5030524
Organisme : Joint Advanced Education Project RS4Art, co-financed by the Tuscany Region with the resources of the POR FSE 2014-2020 - Axis A Employment, "Giovanisì" as part of the Intervention program called "CNR4C".
ID : 249795

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Auteurs

George J Tserevelakis (GJ)

Institute of Electronic Structure and Laser, Foundation for Research and Technology Hellas, GR-70013 Heraklion, Crete, Greece.

Antonina Chaban (A)

National Institute of Optics INO-CNR, 50125 Florence, Italy.

Evgenia Klironomou (E)

Institute of Electronic Structure and Laser, Foundation for Research and Technology Hellas, GR-70013 Heraklion, Crete, Greece.

Kristalia Melessanaki (K)

Institute of Electronic Structure and Laser, Foundation for Research and Technology Hellas, GR-70013 Heraklion, Crete, Greece.

Jana Striova (J)

National Institute of Optics INO-CNR, 50125 Florence, Italy.

Giannis Zacharakis (G)

Institute of Electronic Structure and Laser, Foundation for Research and Technology Hellas, GR-70013 Heraklion, Crete, Greece.

Classifications MeSH