Evidence map›Paper›PMID 38493195›Full record

ArticleNature communications2024

Ultrasound-induced reorientation for multi-angle optical coherence tomography.

Mia Kvåle Løvmo, Shiyu Deng, Simon Moser, Rainer Leitgeb, Wolfgang Drexler, Monika Ritsch-Marte

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Mia Kvåle Løvmo *Institute of Biomedical Physics, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0003-1079-1662
Shiyu Deng *Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-1723-2997
Simon Moser *Institute of Biomedical Physics, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0009-0009-5943-8860
Rainer LeitgebCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-0131-4111
Wolfgang DrexlerCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Monika Ritsch-MarteInstitute of Biomedical Physics, Medical University of Innsbruck, Innsbruck, Austria. monika.ritsch-marte@i-med.ac.at.ORCID 0000-0002-5945-546X

Funding

Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) 10.55776/F68
6 · The paper itself

Abstract

Organoid and spheroid technology provide valuable insights into developmental biology and oncology. Optical coherence tomography (OCT) is a label-free technique that has emerged as an excellent tool for monitoring the structure and function of these samples. However, mature organoids are often too opaque for OCT. Access to multi-angle views is highly desirable to overcome this limitation, preferably with non-contact sample handling. To fulfil these requirements, we present an ultrasound-induced reorientation method for multi-angle-OCT, which employs a 3D-printed acoustic trap inserted into an OCT imaging system, to levitate and reorient zebrafish larvae and tumor spheroids in a controlled and reproducible manner. A model-based algorithm was developed for the physically consistent fusion of multi-angle data from a priori unknown angles. We demonstrate enhanced penetration depth in the joint 3D-recovery of reflectivity, attenuation, refractive index, and position registration for zebrafish larvae, creating an enabling tool for future applications in volumetric imaging.

Indexed as

NeoplasmsTomography, Optical CoherenceAnimalsUltrasonographyZebrafish

Identifiers

PMID38493195
PMCPMC10944478

What OpenQuestion holds

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LicenceCC BY
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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.