Evidence map›Paper›PMID 35268575›Full record

ArticleMolecules (Basel, Switzerland)2022

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

Sara Mattana, Alice Dal Fovo, João Luís Lagarto, Maria Chiara Bossuto, Vladislav Shcheslavskiy, Raffaella Fontana, Riccardo Cicchi

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
9.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 4 countries.

Sara MattanaNational Institute of Optics-National Research Council (CNR-INO), Largo E. Fermi 6, 50125 Florence, Italy.ORCID 0000-0002-6619-0017
Alice Dal FovoNational Institute of Optics-National Research Council (CNR-INO), Largo E. Fermi 6, 50125 Florence, Italy.ORCID 0000-0001-7960-2546
João Luís LagartoBiophotonics Platform, Champalimaud Clinical Centre, Champalimaud Foundation, Av. Brasilia, 1400-038 Lisbon, Portugal.
Maria Chiara BossutoDepartment of Physics, University of Florence, Via G. Sansone 1, 50019 Sesto Fiorentino, Italy.
Vladislav ShcheslavskiyBecker & Hickl GmbH, Nunsdorfer Ring 7-9, 12277 Berlin, Germany.
Raffaella FontanaNational Institute of Optics-National Research Council (CNR-INO), Largo E. Fermi 6, 50125 Florence, Italy.
Riccardo CicchiNational Institute of Optics-National Research Council (CNR-INO), Largo E. Fermi 6, 50125 Florence, Italy.ORCID 0000-0002-2583-6694
National Institute of Optics · ITChampalimaud Foundation · PTPrivolzhsky Research Medical University · RUUniversity of Florence · IT

Funding

Italian Ministry of External Affairs and International Cooperation and Russian Ministry of Science and Education project Nr. 13.2251.21.0109 (BRAIMAGING)Regione Toscana POR FSE 2014-2020, "Giovanisì", Intervention Program "CNR4C", CUP B15J19001040004
6 · The paper itself

Abstract

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.

Indexed as

binderscultural heritagefluorescence lifetime imagingGaussian mixture modelphasor analysispigmentsTCSPCtime-resolved fluorescence imaging

Identifiers

PMID35268575
PMCPMC8911548
OpenAlexW4214689071

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.