Evidence map›Paper›PMID 33314150›Full record

ArticleJournal of microscopy2021

Indentation probe with optical fibre array-based optical coherence tomography for material deformation.

Marica Marrese, E J Paardekam, Davide Iannuzzi

Open access · hybridAbstract read
In one paragraph

Article in Journal of microscopy, 2021. 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, top 86% of its field
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, 0 citations in OpenAlex.

  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

3 authors at 1 institution in 1 country.

Marica MarreseDepartment of Physics and Astronomy and LaserLab, Vrije Universiteit Amsterdam, The Netherlands.ORCID 0000-0001-6543-3235
E J PaardekamDepartment of Physics and Astronomy and LaserLab, Vrije Universiteit Amsterdam, The Netherlands.
Davide IannuzziDepartment of Physics and Astronomy and LaserLab, Vrije Universiteit Amsterdam, The Netherlands.
Vrije Universiteit Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a new optomechanical probe for mechanical testing of soft matter. The probe consists of a micromachined cantilever equipped with an indenting sphere, and an array of 16 single-mode optical fibres, which are connected to an optical coherence tomography (OCT) system that allows subsurface analysis of the sample during the indentation stroke. To test our device and its capability, we performed indentation on a PDMS-based phantom. Our findings demonstrate that Common Path (CP)-OCT via lensed optical fibres can be successfully combined with a microindentation sensor to visualise the phantom's deformation profile at different indentation depths and locations in real time. LAY DESCRIPTION: This work presents a new approach to simultaneously perform micro-indentation experiments and OCT imaging. An optical fiber array-based sensor is used to develop a new hybrid tool where micro-indentation is combined with optical coherence tomography. The sensor is therefore capable of compressing a sample with a small force and simultaneously collecting OCT depth profiles underneath and around the indentation point. This method offers the opportunity to characterize the mechanical properties of soft materials and simultaneously visualize their deformation profile. The ability to integrate OCT imaging with indentation technology is promising for the non-invasive and precise characterization of different soft materials.

Indexed as

indentationlensed optical fibersoptical coherence tomographyoptical fiber array

Identifiers

PMID33314150
PMCPMC8248032
OpenAlexW3111191892

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.