Evidence map›Paper›PMID 27272096›Full record

ArticleJournal of biomedical optics2016

Grueneisen relaxation photoacoustic microscopy in vivo.

Jun Ma, Junhui Shi, Pengfei Hai, Yong Zhou, Lihong V Wang

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Sound Out the Deep Clarity: Super-Resolution Photoacoustic Imaging at Depths.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Review
  4. Review
  5. Photoacoustic Tomography Opening New Paradigms in Biomedical Imaging.Advances in experimental medicine and biology · 2021
    Article
  6. Article
  7. Article
  8. 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

5 authors.

Jun Ma
Junhui Shi
Pengfei Hai
Yong Zhou
Lihong V Wang

Funding

PHOTON TUNNELING: SHEDDING NEW LIGHT ON BIOMEDICINEDP1EB016986 · NIBIB · WASHINGTON UNIVERSITY · PI WANG, LIHONG · 2012 to 2016
$3.8M
IN VIVO IMAGING OF SINGLE CIRCULATING CELLSR01CA186567 · NCI · WASHINGTON UNIVERSITY · PI WANG, LIHONG · 2013 to 2017
$3.6M
PHOTOACOUSTIC MICROSCOPY OF NEOVASCULARIZATION IN RENAL CANCER GROWTH AND THERAPYR01CA159959 · NCI · WASHINGTON UNIVERSITY · PI ARBEIT, JEFFREY MICHAEL · 2011 to 2015
$2.9M
WHOLE-BODY SMALL-ANIMAL PHOTOACOUSTIC-ULTRASONIC COMPUTED TOMOGRAPHYR01EB016963 · NIBIB · WASHINGTON UNIVERSITY · PI ANASTASIO, MARK A · 2013 to 2016
$2.4M
NCI NIH HHS R01 CA159959NCI NIH HHS R01 CA186567NIBIB NIH HHS DP1 EB016986NIBIB NIH HHS R01 EB016963
6 · The paper itself

Abstract

Grueneisen relaxation photoacoustic microscopy (GR-PAM) can achieve optically defined axial resolution, but it has been limited to ex vivo demonstrations so far. Here, we present the first in vivo image of a mouse brain acquired with GR-PAM. To induce the GR effect, an intensity-modulated continuous-wave laser was employed to heat absorbing objects. In phantom experiments, an axial resolution of 12.5  μm was achieved, which is sixfold better than the value achieved by conventional optical-resolution PAM. This axial-resolution improvement was further demonstrated by imaging a mouse brain in vivo, where significantly narrower axial profiles of blood vessels were observed. The in vivo demonstration of GR-PAM shows the potential of this modality for label-free and high-resolution anatomical and functional imaging of biological tissues.

Indexed as

LasersMicroscopyPhotoacoustic TechniquesAnimalsBrainMiceOptical Imaging

Identifiers

PMID27272096
PMCPMC4897030

What OpenQuestion holds

Textmetadata
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.