Noninvasive identification of carbon-based black pigments with pump-probe microscopy

Carbon-based black pigments, a widely used class of pigments, are difficult to differentiate with the noninvasive techniques currently used in cultural heritage science. We use pump-probe microscopy, coupled with a support vector machine, to distinguish common carbon-based black pigments as pure pigments, as two-component black pigment mixtures, and as a mixture of a black and a colorful pigment. This work showcases the potential of pump-probe microscopy to spatially differentiate carbon-based black pigments, which would have interesting applications to works of art.

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Publication Details

Journal
Science Advances
Published
2024-12-11
DOI
https://doi.org/10.1126/sciadv.adp0005
Citations
3
Primary Topic
Cultural Heritage Materials Analysis
Type
article
Field-Weighted Citation Impact
8.77
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article

Noninvasive identification of carbon-based black pigments with pump-probe microscopy

Heidi V. Kastenholz, Martin C. Fischer, David Grass, Warren S. Warren et al.
3 citations
Science Advances
Cultural Heritage Materials Analysis
8.77
article

Noninvasive identification of carbon-based black pigments with pump-probe microscopy

Heidi V. Kastenholz, Martin C. Fischer, David Grass, Warren S. Warren, Michael I. Topper
article en
3 citations

Abstract

Carbon-based black pigments, a widely used class of pigments, are difficult to differentiate with the noninvasive techniques currently used in cultural heritage science. We use pump-probe microscopy, coupled with a support vector machine, to distinguish common carbon-based black pigments as pure pigments, as two-component black pigment mixtures, and as a mixture of a black and a colorful pigment. This work showcases the potential of pump-probe microscopy to spatially differentiate carbon-based black pigments, which would have interesting applications to works of art.

Science AdvancesVol. 10(50)
Duke University (US)
Sustainable cities and communities
Openalex Percentile: Top 3%
Cultural Heritage Materials Analysis
8.77
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