Evidence map›Paper›PMID 41253789›Full record

ArticleNature communications2025

Cross-regional real-time visualization of systemic physiology and dynamics with 3D panoramic photoacoustic computed tomography (3D-PanoPACT).

Xuanhao Wang, Yuqian Meng, Mingli Sun, Xiali Gao, Yuqi Wang, Shaobo Wang, Kaiyue Wang, Ruofan Wang, Danyang Ren, Yonggang Yin and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

14 authors.

Xuanhao WangResearch Center for Computing Sensing, Zhejiang Lab, Hangzhou, China.
Yuqian MengResearch Center for Computing Sensing, Zhejiang Lab, Hangzhou, China.
Mingli SunResearch Center for Computing Sensing, Zhejiang Lab, Hangzhou, China.
Xiali GaoResearch Center for Computing Sensing, Zhejiang Lab, Hangzhou, China.
Yuqi WangResearch Center for Computing Sensing, Zhejiang Lab, Hangzhou, China.
Shaobo WangResearch Center for Computing Sensing, Zhejiang Lab, Hangzhou, China.ORCID http://orcid.org/0009-0008-9835-9527
Kaiyue WangResearch Center for Computing Sensing, Zhejiang Lab, Hangzhou, China.
Ruofan WangResearch Center for Computing Sensing, Zhejiang Lab, Hangzhou, China.
Danyang RenResearch Center for Computing Sensing, Zhejiang Lab, Hangzhou, China.
Yonggang YinResearch Center for Computing Sensing, Zhejiang Lab, Hangzhou, China.
Chiye LiResearch Center for Computing Sensing, Zhejiang Lab, Hangzhou, China.
Ruimin ChenResearch Center for Computing Sensing, Zhejiang Lab, Hangzhou, China.
Lihong V WangCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA. LVW@caltech.edu.ORCID http://orcid.org/0000-0001-9783-4383
Junhui ShiResearch Center for Computing Sensing, Zhejiang Lab, Hangzhou, China. junhuishi@outlook.com.ORCID http://orcid.org/0000-0002-5741-2781

Funding

The Center for Label-free Imagingand Multiscale Biophotonics (CLIMB)P41EB031772 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Stephen A Boppart · 2022 to 2026
$7.6M
Massively parallel high-speed 3D functional photoacoustic computed tomography of the adult human brainU01EB029823 · NIBIB · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI WANG, DANNY JJ, WANG, LIHONG · 2020 to 2024
$6.7M
High-speed panoramic 3D photoacoustic computed tomography of the breastR35CA220436 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI WANG, LIHONG · 2018 to 2024
$6.4M
Label-free intraoperative photoacoustic microscopy for rapid diagnosis of tissue biopsies with specimen integrityR01EB028277 · NIBIB · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI D'APUZZO, MASSIMO, WANG, LIHONG · 2019 to 2022
$2.6M
NCI NIH HHS R35 CA220436NIBIB NIH HHS P41 EB031772NIBIB NIH HHS R01 EB028277NIBIB NIH HHS U01 EB029823
6 · The paper itself

Abstract

Non-invasive systemic visualization is crucial in biomedical research. Photoacoustic imaging transcends the optical scattering limitations, capturing optical absorption from deep tissue at high resolution. Nevertheless, the full exploitation of its physical advantages faces challenges due to unsatisfactory field of view (FOV), spatiotemporal resolution, and imaging quality. Here, we demonstrate that 3D panoramic photoacoustic computed tomography (3D-PanoPACT) mitigates these limitations by combining dynamical and functional contrasts, high spatiotemporal resolution, and broad three-dimensional FOV, allowing for visualizing cross-regional dynamics from organ to whole-body level. Leveraging its single-pulse-volumetric imaging capability, 3D-PanoPACT imaged the whole liver at 25 Hz, facilitating the extraction of arterial networks. Real-time monitoring of whole-brain vasculatures and functional hemodynamics induced by pharmacological action and physical stimulation was demonstrated, especially in the Circle of Willis. The dynamic visualization of the whole trunk at 10 Hz further substantiates its capacity for systemic imaging. We tracked the metabolic pathways of a small-molecule probe across multiple organs using 3D-PanoPACT, highlighting its value in whole-body, cross-regional dynamic studies. 3D-PanoPACT, being a potent novel imaging tool, exhibits substantial potential for advancing biotechnology.

Indexed as

Imaging, Three-DimensionalPhotoacoustic TechniquesTomography, X-Ray ComputedAnimalsBrainHemodynamicsLiverMaleMiceMice, Inbred C57BL

Identifiers

PMID41253789
PMCPMC12627095

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.