| Literature DB >> 29665213 |
Jana Striova1, Chiara Ruberto2, Marco Barucci1, Jan Blažek3, Diane Kunzelman4, Alice Dal Fovo1, Enrico Pampaloni1, Raffaella Fontana1.
Abstract
A concise insight into the outputs provided by the latest prototype of visible-near infrared (Vis-NIR) multispectral scanner (National Research Council-National Institute of Optics, CNR-INO, Italy) is presented. The analytical data acquired on an oil painting Madonna of the Rabbit by É. Manet are described. In this work, the Vis-NIR was complemented with X-ray fluorescence (XRF) mapping for the chemical and spatial characterization of several pigments. The spatially registered Vis-NIR data facilitated their processing by spectral correlation mapping (SCM) and artificial neural network (ANN) algorithm, respectively, for pigment mapping and improved visibility of pentimenti and of underdrawing style. The data provided several key elements for the comparison with a homonymous original work by Titian studied within the ARCHive LABoratory (ARCHLAB) transnational access project.Entities:
Keywords: ARCHLAB; Manet; Titian; multispectral imaging; spectral mapping
Year: 2018 PMID: 29665213 DOI: 10.1002/anie.201800624
Source DB: PubMed Journal: Angew Chem Int Ed Engl ISSN: 1433-7851 Impact factor: 15.336