Evidence map›Paper›PMID 39949550›Full record

ArticleOptica2024

Acoustic-feedback wavefront-adapted photoacoustic microscopy.

Yuecheng Shen, Jun Ma, Chengtian Hou, Jiayu Zhao, Yan Liu, Hsun-Chia Hsu, Terence T W Wong, Bai-Ou Guan, Shian Zhang, Lihong V Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Optica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Deep Learning to Localize Photoacoustic Sources in Three Dimensions: Theory and Implementation.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2025
    Article
  4. Sound Out the Deep Clarity: Super-Resolution Photoacoustic Imaging at Depths.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Review
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

10 authors.

Yuecheng ShenState Key Laboratory of Precision Spectroscopy, School of Physics and Electronic Science, East China Normal University, Shanghai 200241, China.
Jun MaGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou 510632, China.
Chengtian HouGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou 510632, China.
Jiayu ZhaoSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510275, China.
Yan LiuSchool of Optometry, Indiana University, Bloomington, IN 47405, USA.
Hsun-Chia HsuCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125, USA.
Terence T W WongTranslational and Advanced Bioimaging Laboratory, Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong, China.
Bai-Ou GuanGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou 510632, China.
Shian ZhangState Key Laboratory of Precision Spectroscopy, School of Physics and Electronic Science, East China Normal University, Shanghai 200241, China.
Lihong V WangCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125, USA.

Funding

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
NIBIB NIH HHS R01 EB028277
6 · The paper itself

Abstract

Optical microscopy is indispensable to biomedical research and clinical investigations. As all molecules absorb light, optical-resolution photoacoustic microscopy (PAM) is an important tool to image molecules at high resolution without labeling. However, due to tissue-induced optical aberration, the imaging quality degrades with increasing imaging depth. To mitigate this effect, we develop an imaging method, called acoustic-feedback wavefront-adapted PAM (AWA-PAM), to dynamically compensate for tissue-induced aberration at depths. In contrast to most existing adaptive optics assisted optical microscopy, AWA-PAM employs acoustic signals rather than optical signals to indirectly determine the optimized wavefront. To demonstrate this technique, we imaged zebrafish embryos and mouse ears

Identifiers

PMID39949550
PMCPMC11824625

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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.