Evidence map›Paper›PMID 29212755›Full record

ArticleJournal of the Royal Society, Interface2017

Model-based image analysis of a tethered Brownian fibre for shear stress sensing.

M T Gallagher, C V Neal, K P Arkill, D J Smith

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2017. 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
0.4field-weighted citation impact, top 39% 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, 5 citations in OpenAlex.

  1. Oriented suspension mechanics with application to improving flow linear dichroism spectroscopy.Proceedings. Mathematical, physical, and engineering sciences · 2019
    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

4 authors at 3 institutions in 2 countries.

M T GallagherSchool of Mathematics, University of Birmingham, Birmingham B15 2TT, UK m.t.gallagher@bham.ac.uk.ORCID 0000-0002-6512-4472
C V NealSchool of Mathematics, University of Birmingham, Birmingham B15 2TT, UK.ORCID 0000-0002-5940-4101
K P ArkillSchool of Medicine, University of Nottingham, Nottingham NG7 2UH, UK.ORCID 0000-0002-3360-6055
D J SmithSchool of Mathematics, University of Birmingham, Birmingham B15 2TT, UK.ORCID 0000-0002-3427-0936
Birmingham Women’s and Children’s NHS Foundation Trust · GBUniversity of Birmingham · GBUniversity of Nottingham · GB

Funding

British Heart Foundation PG/15/37/31438Medical Research Council MR/P003214/1
6 · The paper itself

Abstract

The measurement of fluid dynamic shear stress acting on a biologically relevant surface is a challenging problem, particularly in the complex environment of, for example, the vasculature. While an experimental method for the direct detection of wall shear stress via the imaging of a synthetic biology nanorod has recently been developed, the data interpretation so far has been limited to phenomenological random walk modelling, small-angle approximation, and image analysis techniques which do not take into account the production of an image from a three-dimensional subject. In this report, we develop a mathematical and statistical framework to estimate shear stress from rapid imaging sequences based firstly on stochastic modelling of the dynamics of a tethered Brownian fibre in shear flow, and secondly on a novel model-based image analysis, which reconstructs fibre positions by solving the inverse problem of image formation. This framework is tested on experimental data, providing the first mechanistically rational analysis of the novel assay. What follows further develops the established theory for an untethered particle in a semi-dilute suspension, which is of relevance to, for example, the study of Brownian nanowires without flow, and presents new ideas in the field of multi-disciplinary image analysis.

Indexed as

Models, TheoreticalImage Processing, Computer-AssistedMathematicsShear StrengthStress, PhysiologicalSynthetic BiologyBrownian dynamicsimage analysismathematical modellingregularized stokesletsviscous fluid dynamicswall shear stress

Identifiers

PMID29212755
PMCPMC5746567
OpenAlexW2740665229

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.