Evidence map›Paper›PMID 42199514›Full record

ArticlePhotoacoustics2026

Decoding melanin dynamics: Photoacoustic microscopy reveals differential aging of metabolic and keratinized skin zones.

Zhiqun Zhang, Zhida Chen, Yilin Chen, Kaihong Chen, Yong Guo, Jincheng Ke, Zhifang Li

Abstract read
In one paragraph

Article in Photoacoustics, 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

7 authors.

Zhiqun ZhangThe Internet of Things and Artificial Intelligence College, Fujian Polytechnic of Information Technology, Fuzhou, Fujian, China.
Zhida ChenKey Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian, China.
Yilin ChenThe Internet of Things and Artificial Intelligence College, Fujian Polytechnic of Information Technology, Fuzhou, Fujian, China.
Kaihong ChenThe Internet of Things and Artificial Intelligence College, Fujian Polytechnic of Information Technology, Fuzhou, Fujian, China.
Yong GuoThe Internet of Things and Artificial Intelligence College, Fujian Polytechnic of Information Technology, Fuzhou, Fujian, China.
Jincheng KeDepartment of Dermatology, The Second Affiliated Hospital of Xiamen Medical College, China.
Zhifang LiThe Internet of Things and Artificial Intelligence College, Fujian Polytechnic of Information Technology, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding depth-resolved distribution of melanin is crucial, yet anatomical methods fail to capture its functional state. Photoacoustic imaging at 650 nm, sensitive to epidermal melanin, bridges this gap. We developed functional zone segmentation based on depth-dependent PA intensity profiles using first-derivative analysis to define a Metabolically Active Zone (MAZ) and a Terminally Differentiated Keratinized Zone (TDZ). Five parameters (thickness, PA intensity, Local Area Maximum (LAM), Global Area Coefficient of Variation (GACoV), and Dispersion Index (DI)) reveal that the MAZ spatial architecture remains stable with age, while the TDZ records cumulative pigmentary changes. This model provides a new paradigm for non-invasive assessment of skin pigmentation and aging.

Indexed as

AgingMelaninMetabolically active zonePhotoacousticTerminally differentiated keratinized zone

Identifiers

PMID42199514
PMCPMC13199933

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.