Evidence map›Paper›PMID 40964233›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

Comparison of high-frequency ultrasound transducers for microvascular localization microscopy in the mouse brain.

Matthew R Lowerison, Yike Wang, Bing-Ze Lin, Zhe Huang, Dongliang Yan, YiRang Shin, Pengfei Song

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Matthew R LowerisonDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States.ORCID https://orcid.org/0000-0002-1125-4554
Yike WangDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Bing-Ze LinDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Zhe HuangDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Dongliang YanDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States.
YiRang ShinDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Pengfei SongDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States.ORCID https://orcid.org/0000-0002-9103-6345

Funding

Next-Generation Ultrasound Localization MicroscopyR21EB030072 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SONG, PENGFEI · 2020 to 2022
$927k
High-resolution cerebral microvascular imaging for characterizing vascular dysfunction in Alzheimer's disease mouse modelR56NS131516 · NINDS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI LLANO, DANIEL A · 2023 to 2023
$575k
NIBIB NIH HHS R21 EB030072NINDS NIH HHS R56 NS131516
6 · The paper itself

Abstract

Ultrasound localization microscopy is a super-resolution vascular imaging technique which has garnered substantial interest as a tool for small animal neuroimaging, neuroscience research, and the characterization of vascular pathologies. In the context of small animal neurovascular imaging, we posit that increasing the ultrasound imaging frequency is a straightforward approach to enable higher concentrations of microbubble contrast agents, thus increasing the likelihood of microvascular mapping and decreasing the imaging duration. To test this hypothesis, we compared ULM imaging resolution of mouse brain vasculature for three transducers with different center transmit frequencies (15 MHz, 23 MHz, and 31 MHz) under conditions of low and high MB concentration. We demonstrate that higher frequency imaging resulted in more efficient microbubble localization due to a smaller microbubble point-spread function that is easier to localize, and which can achieve a higher localizable concentration within the same unit volume of tissue. We found that increasing the imaging frequency had a minor impact on ULM spatial resolution, as measured by Fourier ring correlation, under the low MB concentration case, but a substantial impact in the high MB concentration case. High-frequency ULM yielded a spatial resolution of 6.9 μm, as measured by Fourier ring correlation, throughout the entire depth of the brain. This highlights the potential of this technology as a highly relevant tool for neuroimaging research, which has substantial implications for neuroscientists investigating microvascular function in disease states, regulation, and brain development.

Indexed as

high-frequency ultrasoundmicrovasculatureneurovascular imagingsuper-resolutionultrasound localization microscopy

Identifiers

PMID40964233
PMCPMC12437603

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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.