Automated Phasor Segmentation of Fluorescence Lifetime Imaging Data for Discriminating Pigments and Binders Used in Artworks.

Autor: Mattana S; National Institute of Optics-National Research Council (CNR-INO), Largo E. Fermi 6, 50125 Florence, Italy., Dal Fovo A; National Institute of Optics-National Research Council (CNR-INO), Largo E. Fermi 6, 50125 Florence, Italy., Lagarto JL; Biophotonics Platform, Champalimaud Clinical Centre, Champalimaud Foundation, Av. Brasilia, 1400-038 Lisbon, Portugal., Bossuto MC; Department of Physics, University of Florence, Via G. Sansone 1, 50019 Sesto Fiorentino, Italy., Shcheslavskiy V; Becker & Hickl GmbH, Nunsdorfer Ring 7-9, 12277 Berlin, Germany.; Privolzhskiy Research Medical University, 603005 Nizhny Novgorod, Russia., Fontana R; National Institute of Optics-National Research Council (CNR-INO), Largo E. Fermi 6, 50125 Florence, Italy., Cicchi R; National Institute of Optics-National Research Council (CNR-INO), Largo E. Fermi 6, 50125 Florence, Italy.; European Laboratory for Non-Linear Spectroscopy (LENS), Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy.
Jazyk: angličtina
Zdroj: Molecules (Basel, Switzerland) [Molecules] 2022 Feb 22; Vol. 27 (5). Date of Electronic Publication: 2022 Feb 22.
DOI: 10.3390/molecules27051475
Abstrakt: The non-invasive analysis of fluorescence from binders and pigments employed in mixtures in artworks is a major challenge in cultural heritage science due to the broad overlapping emission of different fluorescent species causing difficulties in the data interpretation. To improve the specificity of fluorescence measurements, we went beyond steady-state fluorescence measurements by resolving the fluorescence decay dynamics of the emitting species through time-resolved fluorescence imaging (TRFI). In particular, we acquired the fluorescence decay features of different pigments and binders using a portable and compact fibre-based imaging setup. Fluorescence time-resolved data were analysed using the phasor method followed by a Gaussian mixture model (GMM) to automatically identify the populations of fluorescent species within the fluorescence decay maps. Our results demonstrate that this approach allows distinguishing different binders when mixed with the same pigment as well as discriminating different pigments dispersed in a common binder. The results obtained could establish a framework for the analysis of a broader range of pigments and binders to be then extended to several other materials used in art production. The obtained results, together with the compactness and portability of the instrument, pave the way for future in situ applications of the technology on paintings.
Databáze: MEDLINE
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