Evidence map›Paper›PMID 41637497›Full record

ArticleScience advances2026

Noninvasive photoacoustic computed mesoscopy for longitudinal brain imaging.

Shijie Ruan, Wei Qin, Linyang Li, Tingting Li, Baochen Li, Xiao Liang, Lei Xi

Abstract read
In one paragraph

Article in Science advances, 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.

Shijie RuanDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.ORCID 0009-0007-5760-6539
Wei QinDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.ORCID 0009-0001-0771-3324
Linyang LiDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.ORCID 0009-0006-3263-1917
Tingting LiDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.ORCID 0000-0001-7175-537X
Baochen LiDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.
Xiao LiangDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.ORCID 0000-0003-1967-362X
Lei XiDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.ORCID 0000-0002-2598-6801

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoacoustic imaging has become a powerful tool for visualizing the brain morphology, function, and metabolism. However, severe optical scattering and high-frequency acoustic attenuation within the brain degrade the performance of photoacoustic brain imaging. To address such limitation, we propose a line scanning-based photoacoustic computed mesoscopic (PACMes) approach for noninvasive, high-resolution, and longitudinal visualization of cerebral vasculature inside the intact mouse brain. This technique uses converging near-infrared (NIR) lines scanned at multiple angles for tight optical excitation; a low-frequency, full-ring ultrasound transducer array for high-sensitivity detection; and a compound reconstruction algorithm integrating filtered back-projection and optical localization of photoacoustic signals to recover the image. We perform long-term (>5 months), noninvasive imaging of the entire cortex of mice through the intact scalp and skull with a field of view of 13 millimeters and a spatial resolution of 33 micrometers. The results demonstrate the potential of PACMes for investigating brain function and disease.

Indexed as

BrainNeuroimagingPhotoacoustic TechniquesAlgorithmsAnimalsImage Processing, Computer-AssistedMice

Identifiers

PMID41637497
PMCPMC12871444

What OpenQuestion holds

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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.