Evidence map›Paper›PMID 41835442›Full record

ArticleJournal of biomedical optics2026

Decoding elastin-collagen resemblance in keloid scar through label-free imaging and machine learning.

Chuncheng Wang, Jia Meng, Lingxi Zhou, Lingmei Chen, Shuhao Qian, Rushan Jiang, Changyong Chen, Lu Yang, Lu Chen, Wei Zhou and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomedical optics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Chuncheng WangZhejiang University, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Hangzhou, China.ORCID https://orcid.org/0000-0002-7181-3848
Jia MengZhejiang University, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Hangzhou, China.
Lingxi ZhouZhejiang University, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Hangzhou, China.
Lingmei ChenZhejiang University, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Hangzhou, China.
Shuhao QianZhejiang University, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Hangzhou, China.ORCID https://orcid.org/0000-0002-5276-2045
Rushan JiangZhejiang University, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Hangzhou, China.
Changyong ChenZhejiang University, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Hangzhou, China.
Lu YangZhejiang University, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Hangzhou, China.
Lu ChenZhejiang University, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Hangzhou, China.
Wei ZhouZhejiang University, Department of Gynecology and Obstetrics, The First Affiliated Hospital, College of Medicine, Hangzhou, China.
Zhihua DingZhejiang University, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Hangzhou, China.ORCID https://orcid.org/0000-0003-2554-3741
Shuangmu ZhuoJimei University, School of Science, Xiamen, China.ORCID https://orcid.org/0000-0001-5767-5197
Zhiyi LiuZhejiang University, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Label-free imaging of keloid scar tissues and inter-channel characterization of fibrous structures provide insights for understanding the process of extracellular matrix (ECM) remodeling during human skin aberrant wound healing. Aim: Multiphoton microscopy imaging is used for Approach: Based on two-photon excitation fluorescence images of elastin fibers and second harmonic generation images of collagen fibers in normal, keloid, and adjacent skin samples, a parameter termed "resemblance metric" (RM) is developed to quantify the morphological and organizational similarity of the two fiber components within the human keloid scar model. The application potential of this method is demonstrated by identifying inter-heterotypic-fibrous resemblance features of three tissue types with high sensitivity. Results: Keloid scar tissues exhibit the highest elastin-collagen resemblance level, and adjacent tissues are the most heterogeneous. Using this parameter, adjacent tissues are identified with an accuracy higher than 98%. Conclusions: The high sensitivity of RM in interpreting the elastin-collagen resemblance within the human keloid scar model reveals a perspective in understanding the mechanism of ECM remodeling.

Indexed as

CollagenElastinKeloidMachine LearningMicroscopy, Fluorescence, MultiphotonAlgorithmsExtracellular MatrixFemaleHumansSkinCollagenElastinbio-photonicscollagen fiberelastin fiberextracellular matrixkeloid scar

Identifiers

PMID41835442
PMCPMC12988766

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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.