Evidence map›Paper›PMID 27829050›Full record

ArticlePloS one2016

High-Resolution Ultrasound-Switchable Fluorescence Imaging in Centimeter-Deep Tissue Phantoms with High Signal-To-Noise Ratio and High Sensitivity via Novel Contrast Agents.

Bingbing Cheng, Venugopal Bandi, Ming-Yuan Wei, Yanbo Pei, Francis D'Souza, Kytai T Nguyen, Yi Hong, Baohong Yuan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

17 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  9. Near-infrared temperature-switchable fluorescence nanoparticles.Quantitative imaging in medicine and surgery · 2021
    Article
  10. Biomedical optics express · 2020
    Article
  11. Radiolabeled PET/MRI Nanoparticles for Tumor Imaging.Journal of clinical medicine · 2019
    Review
  12. Article
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  14. Review
  15. Article
  16. Article
  17. 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

8 authors at 4 institutions in 1 country.

Bingbing ChengUltrasound and Optical Imaging Laboratory, Department of Bioengineering, University of Texas at Arlington, Arlington, Texas, 76010, United States of America.
Venugopal BandiDepartment of Chemistry, University of North Texas, 1155, Union Circle, #305070, Denton, Texas, 76203, United States of America.
Ming-Yuan WeiUltrasound and Optical Imaging Laboratory, Department of Bioengineering, University of Texas at Arlington, Arlington, Texas, 76010, United States of America.
Yanbo PeiUltrasound and Optical Imaging Laboratory, Department of Bioengineering, University of Texas at Arlington, Arlington, Texas, 76010, United States of America.
Francis D'SouzaDepartment of Chemistry, University of North Texas, 1155, Union Circle, #305070, Denton, Texas, 76203, United States of America.
Kytai T NguyenJoint Biomedical Engineering Program, University of Texas at Arlington and University of Texas Southwestern Medical Center at Dallas, Dallas, Texas, 75235, United States of America.
Yi HongJoint Biomedical Engineering Program, University of Texas at Arlington and University of Texas Southwestern Medical Center at Dallas, Dallas, Texas, 75235, United States of America.
Baohong YuanUltrasound and Optical Imaging Laboratory, Department of Bioengineering, University of Texas at Arlington, Arlington, Texas, 76010, United States of America.
The University of Texas at Arlington · USOptica · USUniversity of North Texas · USThe University of Texas Southwestern Medical Center · US

Funding

Novel Engineered Particle Platform for Endothelium RegenerationR01HL118498 · NHLBI · UNIVERSITY OF TEXAS ARLINGTON · PI NGUYEN, KYTAI TRUONG, YANG, JIAN · 2014 to 2017
$1.5M
FRET-based Ultrasound-Switchable Fluorescence ImagingR15EB012312 · NIBIB · UNIVERSITY OF TEXAS ARLINGTON · PI YUAN, BAOHONG · 2010 to 2010
$397k
NHLBI NIH HHS R01 HL118498NIBIB NIH HHS R15 EB012312
6 · The paper itself

Abstract

For many years, investigators have sought after high-resolution fluorescence imaging in centimeter-deep tissue because many interesting in vivo phenomena-such as the presence of immune system cells, tumor angiogenesis, and metastasis-may be located deep in tissue. Previously, we developed a new imaging technique to achieve high spatial resolution in sub-centimeter deep tissue phantoms named continuous-wave ultrasound-switchable fluorescence (CW-USF). The principle is to use a focused ultrasound wave to externally and locally switch on and off the fluorophore emission from a small volume (close to ultrasound focal volume). By making improvements in three aspects of this technique: excellent near-infrared USF contrast agents, a sensitive frequency-domain USF imaging system, and an effective signal processing algorithm, for the first time this study has achieved high spatial resolution (~ 900 μm) in 3-centimeter-deep tissue phantoms with high signal-to-noise ratio (SNR) and high sensitivity (3.4 picomoles of fluorophore in a volume of 68 nanoliters can be detected). We have achieved these results in both tissue-mimic phantoms and porcine muscle tissues. We have also demonstrated multi-color USF to image and distinguish two fluorophores with different wavelengths, which might be very useful for simultaneously imaging of multiple targets and observing their interactions in the future. This work has opened the door for future studies of high-resolution centimeter-deep tissue fluorescence imaging.

Indexed as

FluorescenceAlgorithmsAnimalsContrast MediaFluorescent DyesMusclesPhantoms, ImagingReproducibility of ResultsSignal-To-Noise RatioSwineUltrasonographyContrast MediaFluorescent Dyes

Identifiers

PMID27829050
PMCPMC5102469
OpenAlexW2554653676

What OpenQuestion holds

Textmetadata
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.