Evidence map›Paper›PMID 38440195›Full record

ArticleRheologica acta2024

Fully angularly resolved 3D microrheology with optical tweezers.

Andrew B Matheson, Tania Mendonca, Matthew G Smith, Ben Sutcliffe, Andrea Jannina Fernandez, Lynn Paterson, Paul A Dalgarno, Amanda J Wright, Manlio Tassieri

Open access · hybridAbstract read
In one paragraph

Article in Rheologica acta, 2024. 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
0.3field-weighted citation impact, top 47% 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, 1 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

9 authors at 3 institutions in 1 country.

Andrew B MathesonSchool of Engineering and Physical Sciences, Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot Watt University, Edinburgh, UK.ORCID 0000-0002-9391-6469
Tania MendoncaOptics and Photonics Research Group, Faculty of Engineering, University of Nottingham, Nottingham, UK.ORCID 0000-0002-6232-4970
Matthew G SmithDivision of Biomedical Engineering, James Watt School of Engineering, University of Glasgow, Glasgow, UK.ORCID 0000-0001-6324-0982
Ben SutcliffeOptics and Photonics Research Group, Faculty of Engineering, University of Nottingham, Nottingham, UK.
Andrea Jannina FernandezDivision of Biomedical Engineering, James Watt School of Engineering, University of Glasgow, Glasgow, UK.ORCID 0009-0001-1604-4716
Lynn PatersonSchool of Engineering and Physical Sciences, Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot Watt University, Edinburgh, UK.ORCID 0000-0003-0493-5041
Paul A DalgarnoSchool of Engineering and Physical Sciences, Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot Watt University, Edinburgh, UK.ORCID 0000-0001-7701-373X
Amanda J WrightOptics and Photonics Research Group, Faculty of Engineering, University of Nottingham, Nottingham, UK.ORCID 0000-0002-4866-5699
Manlio TassieriDivision of Biomedical Engineering, James Watt School of Engineering, University of Glasgow, Glasgow, UK.ORCID 0000-0002-6807-0385
Heriot-Watt University · GBUniversity of Glasgow · GBUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microrheology with optical tweezers (MOT) is an all-optical technique that allows the user to investigate a materials' viscoelastic properties at microscopic scales, and is particularly useful for those materials that feature complex microstructures, such as biological samples. MOT is increasingly being employed alongside 3D imaging systems and particle tracking methods to generate maps showing not only how properties may vary between different points in a sample but also how at a single point the viscoelastic properties may vary with direction. However, due to the diffraction limited shape of focussed beams, optical traps are inherently anisotropic in 3D. This can result in a significant overestimation of the fluids' viscosity in certain directions. As such, the rheological properties can only be accurately probed along directions parallel or perpendicular to the axis of trap beam propagation. In this work, a new analytical method is demonstrated to overcome this potential artefact. This is achieved by performing principal component analysis on 3D MOT data to characterise the trap, and then identify the frequency range over which trap anisotropy influences the data. This approach is initially applied to simulated data for a Newtonian fluid where the trap anisotropy induced maximum error in viscosity is reduced from ~ 150% to less than 6%. The effectiveness of the method is corroborated by experimental MOT measurements performed with water and gelatine solutions, thus confirming that the microrheology of a fluid can be extracted reliably across a wide frequency range and in any arbitrary direction. This work opens the door to fully spatially

Indexed as

Computer modelingMicrorheologySimulationViscosity

Identifiers

PMID38440195
PMCPMC10908627
OpenAlexW4391648212

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.