Evidence map›Paper›PMID 39741576›Full record

ArticleJournal of biomedical optics2024

Point-of-care optical spectroscopy platform and ratio-metric algorithms for rapid and systematic functional characterization of biological models

Md Zahid Hasan, Jing Yan, Caigang Zhu

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Non-contact optical spectroscopy for metabolic and vascular characterizations of orthotopic tongue cancer modelsIEEE journal of selected topics in quantum electronics : a publication of the IEEE Lasers and Electro-optics Society
    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

3 authors.

Md Zahid HasanUniversity of Kentucky, Department of Biomedical Engineering, Lexington, Kentucky, United States.
Jing YanUniversity of Kentucky, Department of Biomedical Engineering, Lexington, Kentucky, United States.ORCID 0009-0007-3888-1420
Caigang ZhuUniversity of Kentucky, Department of Biomedical Engineering, Lexington, Kentucky, United States.

Funding

Point-of-care optical spectroscopy platform and novel ratio-metric algorithms for rapid and systematic functional characterization of biological models in vivoR01DE031998 · NIDCR · UNIVERSITY OF KENTUCKY · PI Caigang Zhu · 2023 to 2026
$1.6M
NIDCR NIH HHS R01 DE031998
6 · The paper itself

Abstract

Significance: Cellular metabolism is highly dynamic and strongly influenced by its local vascular microenvironment, gaining a systems-level view of cell metabolism Aim: We aim to fill the technical gap by demonstrating a point-of-care, easy-to-use, easy-to-access, rapid, systematic optical spectroscopy platform for metabolic and vascular characterizations on biological models Approach: We developed a highly portable optical spectroscopy platform with a tumor-sensitive fiber probe and easy-to-use spectroscopic algorithms for multi-parametric metabolic and vascular characterizations of biological tissues Results: Our tissue-mimicking phantom, human subjects, and Conclusions: Our highly portable optical spectroscopy platform along with easy-to-use spectroscopic algorithms will provide an easy-to-access way for rapid and systematic characterizations of biological tissue metabolism and vascular microenvironment

Indexed as

AlgorithmsPhantoms, ImagingPoint-of-Care SystemsAnimalsEquipment DesignHumansMiceModels, BiologicalMonte Carlo MethodSpectrum Analysishead and neck canceroptical spectroscopyradiation therapytumor metabolismvasculature

Identifiers

PMID39741576
PMCPMC11687633

What OpenQuestion holds

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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 OpenQuestion graph.