Evidence map›Paper›PMID 41394501›Full record

ArticleBiomedical optics express2025

Assessing liquid light guides in diffuse correlation spectroscopy systems.

Yuanzhe Zhang, Mingliang Pan, Chenxu Li, Ziao Jiao, Yuanyuan Hua, Ahmet T Erdogan, Robert K Henderson, David Day-Uei Li

Abstract read
In one paragraph

Article in Biomedical optics express, 2025. 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

8 authors.

Yuanzhe ZhangUniversity of Strathclyde, Department of Biomedical Engineering, Glasgow, UK.ORCID https://orcid.org/0009-0004-5107-3856
Mingliang PanUniversity of Strathclyde, Department of Biomedical Engineering, Glasgow, UK.ORCID https://orcid.org/0009-0001-9732-8963
Chenxu LiUniversity of Strathclyde, Department of Biomedical Engineering, Glasgow, UK.
Ziao JiaoUniversity of Strathclyde, Department of Biomedical Engineering, Glasgow, UK.
Yuanyuan HuaUniversity of Edinburgh, Institute for Micro and Nano Systems (IMNS), School of Engineering, Edinburgh, UK.
Ahmet T ErdoganUniversity of Edinburgh, Institute for Micro and Nano Systems (IMNS), School of Engineering, Edinburgh, UK.
Robert K HendersonUniversity of Edinburgh, Institute for Micro and Nano Systems (IMNS), School of Engineering, Edinburgh, UK.ORCID https://orcid.org/0000-0002-0398-7520
David Day-Uei LiUniversity of Strathclyde, Department of Biomedical Engineering, Glasgow, UK.ORCID https://orcid.org/0000-0002-6401-4263

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse correlation spectroscopy (DCS) is a widely used noninvasive optical technique for measuring tissue blood flow. Accurate blood flow estimation with DCS requires a high signal-to-noise ratio (SNR), but achieving high SNR is often limited by safety constraints on the optical irradiance (maximum permissible exposure) that can be delivered to tissue. To overcome this limitation, we investigated the possibility of replacing the conventional multi-mode fiber (MMF) with a liquid light guide (LLG) for illumination. The LLG provides a more uniform illumination profile and higher photon throughput to the tissue under the same irradiance limit, resulting in a significantly increased detected photon count rate and enhanced SNR. In experiments under identical power-density conditions, the LLG-based system achieved approximately a three-fold increase in SNR compared to the traditional MMF configuration. This improvement arises from the uniform beam profile and efficient light delivery of the LLG, which permits safe use of higher total power. These results indicate that LLG illumination effectively enhances DCS sensitivity without exceeding safety limits, potentially enabling more sensitive and accurate blood flow monitoring in biomedical applications.

Identifiers

PMID41394501
PMCPMC12698105

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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.