Using Optical Coherence Tomography to Reveal the Hidden History of The Landsdowne Virgin of the Yarnwinder by Leonardo da Vinci and Studio

Year: 2018

Authors: Targowski P., Iwanicka M., Sylwestrzak M., Frosinini C., Striova J., Fontana R.

Autors Affiliation: Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Grudziadzka 5, Torun, 87-100, Poland; Faculty of Fine Arts, Nicolaus Copernicus University, Sienkiewicza 30/32, Torun, 87-100, Poland; Opificio delle Pietre Dure, Viale F. Strozzi 1, Florence, 50129, Italy; National Institute of Optics INO-CNR, Largo Fermi 6, Florence, 50125, Italy

Abstract: Optical coherence tomography (OCT) was used for non-invasive examination of a well-known, yet complex, painting from the studio of Leonardo da Vinci in combination with routine imaging in various bands of electromagnetic radiation. In contrast with these techniques, OCT provides depth-resolved information. Three post-processing modalities were explored: cross-sectional views, maps of scattering from given depths, and their 3D models. Some hidden alterations of the painting owing to past restorations were traced: retouching and overpainting with their positioning within varnish layers as well as indications of a former transfer to canvas.


Volume: 57 (25)      Pages from: 7396  to: 7400

More Information: This research was co-financed by FP7 CHARISMA (GA 228330) and H2020 IPERION CH (GA 654028) projects and partially by RPKP.05.04.00-04-001/10. Special thanks go to Marco Raffaelli for taking the macro-photographs and Dr. Robert Dale for the critical reading of the manuscript.
KeyWords: Electromagnetic waves; Materials science; Stratigraphy; Studios, 3D models; Analytical method; Depth-resolved; Leonardo da vinci; Post processing; Reflectance imaging; Sectional views; Structural imaging, Optical tomography
DOI: 10.1002/anie.201713356

Citations: 9
data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2024-07-14
References taken from IsiWeb of Knowledge: (subscribers only)
Connecting to view paper tab on IsiWeb: Click here
Connecting to view citations from IsiWeb: Click here