Evidence map›Paper›PMID 39319307›Full record

ArticleAPL bioengineering2024

A novel stress sensor enables accurate estimation of micro-scale tissue mechanics in quantitative micro-elastography.

Kai L Metzner, Qi Fang, Rowan W Sanderson, Yen L Yeow, Celia Green, Farah Abdul-Aziz, Juliana Hamzah, Alireza Mowla, Brendan F Kennedy

Abstract read
In one paragraph

Article in APL bioengineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Phantoms for use in optical coherence elastography.Journal of biomedical optics · 2026
    Review
  2. 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

9 authors.

Yen L YeowSystems Biology and Genomics Laboratory, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Western Australia 6009, Australia and Centre for Medical Research, The University of Western Australia, Perth, Western Australia 6009, Australia.ORCID https://orcid.org/0000-0002-2341-6354
Celia GreenAnatomical Pathology, PathWest Laboratory Medicine, QEII Medical Centre, Nedlands, Western Australia 6009, Australia.ORCID https://orcid.org/0009-0008-9434-570X
Farah Abdul-AzizHollywood Private Hospital, Nedlands, Western Australia 6009, Australia.ORCID https://orcid.org/0009-0004-1932-693X
Juliana HamzahTargeted Drug Delivery, Imaging & Therapy, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Western Australia 6009, Australia.ORCID https://orcid.org/0000-0002-3802-5073

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative micro-elastography (QME) is a compression-based optical coherence elastography technique enabling the estimation of tissue mechanical properties on the micro-scale. QME utilizes a compliant layer as an optical stress sensor, placed between an imaging window and tissue, providing quantitative estimation of elasticity. However, the implementation of the layer is challenging and introduces unpredictable friction conditions at the contact boundaries, deteriorating the accuracy and reliability of elasticity estimation. This has largely limited the use of QME to

Identifiers

PMID39319307
PMCPMC11421860

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.