Evidence map›Paper›PMID 35901186›Full record

ArticlePloS one2022

Investigation of craquelure patterns in oil paintings using precise 3D morphological analysis for art authentication.

Soojung Kim, Sang Min Park, Seongjin Bak, Gyeong Hun Kim, Chang-Seok Kim, Joonja Jun, Chang Eun Kim, Kyujung Kim

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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.

  1. Interpol review of forensic paint, tape, and glass evidence 2022-2025.Forensic science international. Synergy · 2026
    Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Soojung KimDepartment of Cogno-Mechatronics Engineering, Pusan National University, Busan, Republic of Korea.
Sang Min ParkDepartment of Cogno-Mechatronics Engineering, Pusan National University, Busan, Republic of Korea.
Seongjin BakDepartment of Cogno-Mechatronics Engineering, Pusan National University, Busan, Republic of Korea.
Gyeong Hun KimDepartment of Cogno-Mechatronics Engineering, Pusan National University, Busan, Republic of Korea.
Chang-Seok KimDepartment of Cogno-Mechatronics Engineering, Pusan National University, Busan, Republic of Korea.
Joonja JunDepartment of Fine Arts, Pusan National University, Busan, Republic of Korea.
Chang Eun KimDepartment of Fine Arts, Pusan National University, Busan, Republic of Korea.
Kyujung KimDepartment of Cogno-Mechatronics Engineering, Pusan National University, Busan, Republic of Korea.ORCID 0000-0002-0913-2291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of scientific technology for art authentication has elicited multidimensional evidence to distinguish forgeries from original artwork. Here, we analyzed the three-dimensional morphology of cracks that contain information, such as the painting features of artworks, using optical coherence tomography. The forgeries were produced by an expert from original oil paintings with cracks that occur owing to paint drying, canvas aging, and physical damage. Parameters, such as shape, width, and depth, were compared based on the cross-sectional images of the original and fake cracks. The original cracks were rectangular and inverted, but the fake cracks were relatively simple inverted triangles. The original cracks were as deep as the thickness of the upper layer and mostly were "thin/deep" or "wide/shallow". The fake cracks were observed to be "'thin/shallow" or "wide/deep". This study aims to improve the understanding of crack characteristics and promote the development of techniques for determining art authenticity.

Indexed as

PaintingsPaintTomography, Optical Coherence

Identifiers

PMID35901186
PMCPMC9333328

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.