Evidence map›Paper›PMID 42183385›Full record

ArticleResearch square2026

Ultrasound phase microscopy for rapid label-free super-resolution vascular imaging.

Zhengchang Kou, Junhang Zhang, Chen Gong, Jie Ji, Nathiya Vaithiyalingam Chandra Sekaran, Zikai Wang, Rita J Miller, Yaoheng Yang, Daniel Adolfo Llano, Qifa Zhou and 1 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Zhengchang KouBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, IL 61801, USA.ORCID 0000-0001-5322-0267
Junhang ZhangAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0002-7847-3102
Chen GongAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0002-6262-704X
Jie JiAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Nathiya Vaithiyalingam Chandra SekaranBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, IL 61801, USA.
Zikai WangAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Rita J MillerBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, IL 61801, USA.
Yaoheng YangAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0001-8952-887X
Daniel Adolfo LlanoBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, IL 61801, USA.
Qifa ZhouAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0003-1527-3020
Michael L OelzeBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, IL 61801, USA.

Funding

High-Resolution Flow Imaging of Optic Nerve Head and Retrolaminar Microvascular CirculationR01EY035084 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Shigao Chen, Qifa Zhou · 2023 to 2026
$2.7M
Biomechanical mapping of the optic nerve head and peripapillary sclera using high frequency ultrasonic elastographyR01EY032229 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ZHOU, QIFA · 2021 to 2024
$2.6M
Development of low cost, high channel count research platform for democratizing 3D volumetric ultrasoundR01EB036800 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Michael L. Oelze · 2025 to 2026
$1.2M
NEI NIH HHS R01 EY032229NEI NIH HHS R01 EY035084NIBIB NIH HHS R01 EB036800
6 · The paper itself

Abstract

Mapping deep microvascular structure and dynamics is essential for understanding organ function, neurovascular coupling and disease progression. Ultrasound localization microscopy (ULM) achieves super-resolution vascular imaging in deep tissue, but its dependence on exogenous contrast agents and prolonged stochastic tracking limits throughput and impedes the capture of transient hemodynamics. Here we introduce ultrasound phase microscopy (UPM), a label-free super-resolution ultrasound approach based on spatiotemporal phase decoding. UPM operates entirely on the receive side by converting motion-induced blood-signal phase shifts into sub-wavelength spatial gating through engineered phase gradients. A theoretical analysis shows that the effective gate width scales inversely with the square root of the signal-to-noise ratio, shifting the operative resolution boundary away from the classical diffraction limit. UPM achieves

Identifiers

PMID42183385
PMCPMC13193121

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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.