Evidence map›Paper›PMID 42024705›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Mapping fast tissue dynamics with long camera exposures via intensity modulation.

Hengfa Lu, Qingwei Fang, Jewel A Ashbrook, Victoria Nemchek, Michela Fracassi, Theresa A Jones, Andrew K Dunn

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. 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. Mapping fast tissue dynamics with long camera exposures via intensity modulation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    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.

Hengfa LuDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712.ORCID 0000-0001-5545-6070
Qingwei FangDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712.
Jewel A AshbrookDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712.ORCID 0009-0001-3336-7015
Victoria NemchekPsychology Department and Institute for Neuroscience, University of Texas at Austin, Austin, TX 78712.ORCID 0000-0002-1483-7878
Michela FracassiPsychology Department and Institute for Neuroscience, University of Texas at Austin, Austin, TX 78712.
Theresa A JonesPsychology Department and Institute for Neuroscience, University of Texas at Austin, Austin, TX 78712.
Andrew K DunnDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712.ORCID 0000-0001-6500-5783

Funding

NINDS NIH HHS NS108484UT Austin Portugal Program UTA18
6 · The paper itself

Abstract

Measuring fast dynamic processes with dynamic light scattering over wide fields of view is critical for applications ranging from blood flow imaging to characterizing complex fluids, yet is often limited by the need for expensive, high frame rate cameras. Here, we introduce sinusoidal intensity modulation speckle imaging (SIMSI), a technique that overcomes this hardware limitation by encoding information about fast dynamics into images captured with long camera exposures. Within each exposure, we sinusoidally modulate the illumination intensity, yielding frequency selective speckle variance measurements that sample the power spectral density (PSD) of intensity fluctuations. By sweeping the modulation frequency across exposures, SIMSI maps the PSD while preserving high signal-to-noise long exposures. We fit the measured spectra with a flexible model and report a spectral cutoff frequency [Formula: see text] as a flow index. In controlled flow microfluidic phantoms, SIMSI PSD estimates agree with the reference PSD measurements from a coaligned high-speed detector, and the derived [Formula: see text] varies linearly with the imposed flow velocity ([Formula: see text]). In vivo in the mouse cortex, the SIMSI derived [Formula: see text] maps distinguish vascular compartments with distinct spectral signatures. Finally, SIMSI tracks the spatiotemporal evolution of cortical blood flow changes for ten days following ischemic stroke. SIMSI provides a robust and accessible method for wide field, frequency domain characterization of fast dynamics using standard cameras. This advance enables a richer characterization of complex systems and has wide ranging applications in biomedicine, engineering, and physics.

Indexed as

Diagnostic ImagingAnimalsBlood Flow VelocityCerebrovascular CirculationLightMicePhantoms, ImagingScattering, Radiationcerebral blood flow imagingdynamic light scatteringlaser speckle contrast imaginglight intensity modulationpower spectral density

Identifiers

PMID42024705
PMCPMC13123810

What OpenQuestion holds

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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.