Evidence map›Paper›PMID 34196136›Full record

ArticleJournal of biomedical optics2021

Perspective on fast-evolving photoacoustic tomography.

Junjie Yao, Lihong V Wang

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  3. Journal of biomedical optics · 2026
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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

2 authors.

Junjie YaoDuke University, Department of Biomedical Engineering, Durham, North Carolina, United States.
Lihong V WangCalifornia Institute of Technology, Andrew and Peggy Cherng Department of Medical Engineering, Depar, United States.

Funding

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
Deep brain photoacoustic tomography at single-neuron resolution using arrays of photonic emitters and high-frequency ultrasound transducersU01NS099717 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROUKES, MICHAEL L, SHEPARD, KENNETH L · 2016 to 2018
$3.0M
High-resolution High-speed Photoacoustic and Ultrasound Imaging of SmallVessel Functions in Ischemic StrokeR01NS111039 · NINDS · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2023
$2.7M
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
Head-mounted Photoacoustic Imaging of Deep-brain Neural Activities in Freely Behaving AnimalsRF1NS115581 · NINDS · DUKE UNIVERSITY · PI VERKHUSHA, VLADISLAV, YAO, JUNJIE · 2020 to 2020
$2.0M
High-Throughput Volumetric Photoacoustic Imaging of Living Vascularized OrganoidsR01EB028143 · NIBIB · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2022
$2.0M
Transcranial Photoacoustic Imaging Using a Virtual ArrayR21EB027981 · NIBIB · PENNSYLVANIA STATE UNIVERSITY, THE · PI JING, YUN · 2020 to 2020
$455k
Photoacoustic-imaging-guided intravascular sonothrombolysisR21EB027304 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI JIANG, XIAONING, YAO, JUNJIE · 2019 to 2020
$411k
NCI NIH HHS R35 CA220436NIBIB NIH HHS R01 EB028143NIBIB NIH HHS R01 EB028277NIBIB NIH HHS R21 EB027304NIBIB NIH HHS R21 EB027981NIBIB NIH HHS U01 EB029823NINDS NIH HHS R01 NS111039NINDS NIH HHS RF1 NS115581NINDS NIH HHS U01 NS099717
6 · The paper itself

Abstract

significanceAcoustically detecting the rich optical absorption contrast in biological tissues, photoacoustic tomography (PAT) seamlessly bridges the functional and molecular sensitivity of optical excitation with the deep penetration and high scalability of ultrasound detection. As a result of continuous technological innovations and commercial development, PAT has been playing an increasingly important role in life sciences and patient care, including functional brain imaging, smart drug delivery, early cancer diagnosis, and interventional therapy guidance.

aimBuilt on our 2016 tutorial article that focused on the principles and implementations of PAT, this perspective aims to provide an update on the exciting technical advances in PAT. APPROACH: This perspective focuses on the recent PAT innovations in volumetric deep-tissue imaging, high-speed wide-field microscopic imaging, high-sensitivity optical ultrasound detection, and machine-learning enhanced image reconstruction and data processing. Representative applications are introduced to demonstrate these enabling technical breakthroughs in biomedical research.

conclusionsWe conclude the perspective by discussing the future development of PAT technologies.

Indexed as

Photoacoustic TechniquesTomographyDrug Delivery SystemsHumansImage Processing, Computer-AssistedTomography, X-Ray Computedhigh-speed imagingmachine learningoptical ultrasound detectionoptoacoustic imagingphotoacoustic tomographyvolumetric imagingwearable device

Identifiers

PMID34196136
PMCPMC8244998

What OpenQuestion holds

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LicenceCC BY
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.