Evidence mapPaperPMID 42281983Full record

ArticleResearch square2026

Data-driven super-resolution optoacoustic imaging via physically encoded signal acquisition.

Irene Pi-Martín, Daniil Nozdriukhin, Alejandro Cebrecos, Juan José García Garrigós, Daniel Razansky, Xose Luis Dean-Ben

Abstract readPreprint
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

6 authors.

Irene Pi-MartínInstituto de Instrumentación para Imagen Molecular (i3M), CSIC - Universitat Politècnica de València, Camino de Vera S/N, 46022, Valencia, Spain.ORCID 0009-0007-0556-113X
Daniil NozdriukhinInstitute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland.
Alejandro CebrecosInstituto de Instrumentación para Imagen Molecular (i3M), CSIC - Universitat Politècnica de València, Camino de Vera S/N, 46022, Valencia, Spain.
Juan José García GarrigósInstituto de Instrumentación para Imagen Molecular (i3M), CSIC - Universitat Politècnica de València, Camino de Vera S/N, 46022, Valencia, Spain.
Daniel RazanskyInstitute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland.
Xose Luis Dean-BenInstitute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-8557-7778

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Super-resolution optoacoustic (OA) imaging, enabled by localization and tracking of highly absorbing circulating microparticles, has overcome the longstanding resolution-depth trade-off limiting optical-contrast imaging methods. Responses recorded from individual microparticles further allow for calibrating the spatially dependent OA impulse response, which can support accurate data-driven learning of a linear forward model for tomographic reconstructions, even in complex, physically encoded acquisition schemes. We demonstrate accurate localization of microparticles by exploiting multiple ultrasound scattering to physically encode absorber positions in time-resolved OA signals. Using a model calibrated via raster scanning of a microsphere, we achieved in vivo localization and tracking of intravenously injected microparticles, enabling localization optoacoustic tomography (LOT) with over an order-of-magnitude fewer transducer elements than previously employed. Furthermore, auxiliary-transducer-assisted localization of microspheres in the bloodstream facilitated implementation of a self-calibration methodology, allowing for super-resolution imaging with a single time-resolved signal.

Indexed as

acoustic scatteringlocalization imagingOptoacoustic imagingphotoacoustic imagingphysically encoded acquisitionsuper-resolution imagingtracking

Identifiers

PMID42281983
PMCPMC13252507

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.