Evidence mapPaperPMID 41501022Full record

ArticleNature communications2026

Dynamic microvascular monitoring with miniaturized omnidirectional broadband photoacoustic imaging system for living entities (MOBILE).

Wei Li, Xue Bai, Yizhi Liang, Peiqian He, Yachao Zhang, Qi Zhang, Zixuan Zhang, Chaoneng Wu, Changze Song, Shirong Li and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

16 authors.

Wei Li *Guangdong Provincial Key Laboratory of Optical Fibre Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, China.
Xue Bai *Guangdong Provincial Key Laboratory of Optical Fibre Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, China.
Yizhi LiangGuangdong Provincial Key Laboratory of Optical Fibre Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, China. lyz0528@jnu.edu.cn.ORCID http://orcid.org/0000-0002-5219-4949
Peiqian HeGuangdong Provincial Key Laboratory of Optical Fibre Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, China.
Yachao ZhangKey Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Suzhou, China.
Qi ZhangGuangdong Provincial Key Laboratory of Optical Fibre Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, China.
Zixuan ZhangGuangdong Provincial Key Laboratory of Optical Fibre Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, China.
Chaoneng WuGuangdong Provincial Key Laboratory of Optical Fibre Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, China.
Changze SongGuangdong Provincial Key Laboratory of Optical Fibre Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, China.
Shirong LiGuangdong Provincial Key Laboratory of Optical Fibre Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, China.
Yejing ZhengGuangdong Provincial Key Laboratory of Optical Fibre Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, China.
Zhixuan HuGuangdong Provincial Key Laboratory of Optical Fibre Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, China.
Xiaoxuan ZhongGuangdong Provincial Key Laboratory of Optical Fibre Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, China.
Linghao ChengGuangdong Provincial Key Laboratory of Optical Fibre Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, China.
Long JinGuangdong Provincial Key Laboratory of Optical Fibre Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, China. jinlong@m.scnu.edu.cn.
Bai-Ou GuanGuangdong Provincial Key Laboratory of Optical Fibre Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, China. tguanbo@jnu.edu.cn.ORCID http://orcid.org/0000-0002-3790-2986

Funding

China Postdoctoral Science Foundation 2025M770849Guangzhou Science and Technology Program key projects 2024B03J0254Guangzhou Science and Technology Program key projects 2024B03J1288National Natural Science Foundation of China (National Science Foundation of China) 62122031National Natural Science Foundation of China (National Science Foundation of China) 62135006National Natural Science Foundation of China (National Science Foundation of China) 62205125National Natural Science Foundation of China (National Science Foundation of China) 62275104National Natural Science Foundation of China (National Science Foundation of China) 62322506
6 · The paper itself

Abstract

Microcirculation monitoring is crucial for evaluating cardiovascular health and detecting organ dysfunction early, but existing bedside imaging techniques often cannot provide sufficient resolution and depth for dynamic assessment during natural physiological activities. Here, we present MOBILE (Miniaturized Omnidirectional Broadband Photoacoustic Imaging System for Living Entities), a photoacoustic imaging system that allows unrestricted microcirculatory monitoring with 40 µm resolution and penetration depth of 10 mm, allowing stratified visualization of dynamic vascular responses. This platform features an ultracompact fibre-optic sensor capable of omnidirectional ultrasound-based detection across a large bandwidth (0.3-80 MHz). The compact design of the system facilitates point-of-care monitoring through seamless integration with portable devices or existing clinical systems. Through a comprehensive evaluation of the patient's haemodynamic parameters, MOBILE reveals distinct dynamic responses of vessels at different tissue depths, from superficial microvessels to deep subcutaneous vessels, capturing vessel-specific changes in diameter, haemoglobin concentration, and tissue oxygenation during numerous physiological challenges. This platform offers possibilities for understanding microcirculatory responses and improving critical care management through high-resolution vessel monitoring.

Indexed as

MicrocirculationMicrovesselsPhotoacoustic TechniquesAnimalsEquipment DesignHemodynamicsHumansMiniaturizationMonitoring, PhysiologicPoint-of-Care Systems

Identifiers

PMID41501022
PMCPMC12887067

What Socratic 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 Socratic graph.