Aconcise insight into the outputs provided by the latest prototype of visible-near infrared (Vis-NIR) multispec- tral scanner (National ResearchCouncil-National Institute of Optics,CNR-INO,Italy) is presented. The analytical data acquired on an oil painting Madonna of the Rabbit by P. Manet are described. In this work, the Vis-NIR was comple- mented with X-ray fluorescence (XRF) mapping for the chemical and spatial characterization of several pigments. The spatially registered Vis-NIR data facilitated their process- ing by spectral correlation mapping (SCM) and artificial neural network (ANN) algorithm, respectively,for pigment mapping and improved visibility of pentimenti and of under- drawing style.The data provided several key elements for the comparison with ahomonymous original work by Titian studied within the ARCHive LABoratory (ARCHLAB) transnational access project

Spectral Imaging and Archival Data in Analysing Madonna of the Rabbit Paintings by Manet and Titian / Striova, Jana; Ruberto, Chiara; Barucci, Marco; Blažek, Jan; Kunzelman, Diane; Dal Fovo, Alice; Pampaloni, Enrico; Fontana, Raffaella. - In: ANGEWANDTE CHEMIE. INTERNATIONAL EDITION. - ISSN 1433-7851. - ELETTRONICO. - 57:(2018), pp. 7408-7412. [10.1002/anie.201800624]

Spectral Imaging and Archival Data in Analysing Madonna of the Rabbit Paintings by Manet and Titian

Striova, Jana;Ruberto, Chiara;Barucci, Marco;Dal Fovo, Alice;Fontana, Raffaella
2018

Abstract

Aconcise insight into the outputs provided by the latest prototype of visible-near infrared (Vis-NIR) multispec- tral scanner (National ResearchCouncil-National Institute of Optics,CNR-INO,Italy) is presented. The analytical data acquired on an oil painting Madonna of the Rabbit by P. Manet are described. In this work, the Vis-NIR was comple- mented with X-ray fluorescence (XRF) mapping for the chemical and spatial characterization of several pigments. The spatially registered Vis-NIR data facilitated their process- ing by spectral correlation mapping (SCM) and artificial neural network (ANN) algorithm, respectively,for pigment mapping and improved visibility of pentimenti and of under- drawing style.The data provided several key elements for the comparison with ahomonymous original work by Titian studied within the ARCHive LABoratory (ARCHLAB) transnational access project
2018
57
7408
7412
Striova, Jana; Ruberto, Chiara; Barucci, Marco; Blažek, Jan; Kunzelman, Diane; Dal Fovo, Alice; Pampaloni, Enrico; Fontana, Raffaella
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1134952
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