Evidence map›Paper›PMID 37180958›Full record

ArticlePhotoacoustics2023

Parallel imaging with phonon microscopy using a multi-core fibre bundle detection.

Rafael Fuentes-Domínguez, Mengting Yao, William Hardiman, Salvatore La Cavera Iii, Kerry Setchfield, Fernando Pérez-Cota, Richard J Smith, Matt Clark

Abstract read
In one paragraph

Article in Photoacoustics, 2023. 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

8 authors.

Rafael Fuentes-DomínguezOptics and Photonics Group, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
Mengting YaoOptics and Photonics Group, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
William HardimanOptics and Photonics Group, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
Salvatore La Cavera IiiOptics and Photonics Group, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
Kerry SetchfieldOptics and Photonics Group, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
Fernando Pérez-CotaOptics and Photonics Group, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
Richard J SmithOptics and Photonics Group, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
Matt ClarkOptics and Photonics Group, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we show a proof-of-concept method to parallelise phonon microscopy measurements for cell elasticity imaging by demonstrating a 3-fold increase in acquisition speed which is limited by current acquisition hardware. Phonon microscopy is based on time-resolved Brillouin scattering, which uses a pump-probe method with asynchronous optical sampling (ASOPS) to generate and detect coherent phonons. This enables access to the cell elasticity via the Brillouin frequency with sub-optical axial resolution. Although systems based on ASOPS are typically faster compared to the ones built with a mechanical delay line, they are still very slow to study real time changes at the cellular level. Additionally, the biocompatibility is reduced due to long light exposure and scanning time. Using a multi-core fibre bundle rather than a single channel for detection, we acquire 6 channels simultaneously allowing us to speed-up measurements, and open a way to scale-up this method.

Indexed as

Parallel measurementsPhonon microscopyPicosecond ultrasonicsTime-domain Brillouin scattering

Identifiers

PMID37180958
PMCPMC10172699

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.