Evidence mapPaperPMID 41356253Full record

ArticlePhotoacoustics2025

Low frequency detection in clinical multispectral optoacoustic tomography.

Maximilian Bader, Antonia Longo, Dominik Jüstel, Vasilis Ntziachristos

Abstract read
In one paragraph

Article in Photoacoustics, 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

4 authors.

Maximilian BaderChair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health & School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.
Antonia LongoInstitute of Biological and Medical Imaging, Bioengineering Center, Helmholtz Zentrum München, Neuherberg, Germany.
Dominik JüstelChair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health & School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.
Vasilis NtziachristosChair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health & School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frequency response characterization of optoacoustic (photoacoustic) detectors is critical because the signals are broadband, and the center frequency relates to the absorber size. We were particularly interested in studying the sub-1 megahertz response, which enables imaging of low spatial frequencies associated with resolving organs up to centimeter size. State-of-the-art characterization methods fail to measure this kilohertz frequency response reliably, leading to an incomplete understanding of the largest structures captured in an optoacoustic image. Herein, we developed an experimental arrangement to identify the lowest measurable frequency of an optoacoustic detector. We observe that a common optoacoustic detector with a 3.4 megahertz center frequency and 72 % 3 dB bandwidth can capture signals as low as 75 kilohertz. Given insufficient characterization methods, we also investigate artifacts triggered by image reconstruction with an erroneous kilohertz frequency response. Collectively, our work discusses the impact of incorporating low frequencies on optoacoustic image fidelity.

Indexed as

broadband acoustic wavesfrequency calibrationfrequency responseimpulse responsesystem characterization

Identifiers

PMID41356253
PMCPMC12677182

What Socratic holds

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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 Socratic graph.