Evidence map›Paper›PMID 41142361›Full record

ArticlePhotoacoustics2025

Multi-wavelength graph convolutional network for high-performance sparse multispectral optoacoustic tomography.

Mengyang Lu, Jingxian Wang, Jiayuan Peng, Boyi Li, Xin Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Photoacoustics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Mengyang LuCollege of Biomedical Engineering, Fudan University, Shanghai 200433, China.
Jingxian WangHuman Phenome Institute, Fudan University, Shanghai 200433, China.
Jiayuan PengCollege of Biomedical Engineering, Fudan University, Shanghai 200433, China.
Boyi LiCollege of Biomedical Engineering, Fudan University, Shanghai 200433, China.
Xin LiuCollege of Biomedical Engineering, Fudan University, Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid advancement of multispectral optoacoustic tomography (MSOT) has developed for label-free biomedical imaging by providing anatomical and functional visualization through multi-wavelength laser excitation and ultrasound detection. This technique offers high spatial resolution and deep-tissue imaging capabilities for biological applications. However, the substantial hardware cost and computational demand for high-quality

Indexed as

Deep learningGraph convolutional networkMultispectral optoacoustic tomographySparse reconstruction

Identifiers

PMID41142361
PMCPMC12547947

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.