Evidence map›Paper›PMID 34453067›Full record

ArticleScientific reports2021

A quality optimization approach to image Achilles tendon microstructure by phase-contrast enhanced synchrotron micro-tomography.

Maria Pierantoni, Isabella Silva Barreto, Malin Hammerman, Lissa Verhoeven, Elin Törnquist, Vladimir Novak, Rajmund Mokso, Pernilla Eliasson, Hanna Isaksson

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 31 citations in OpenAlex.

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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 4 institutions in 2 countries.

Maria PierantoniDepartment of Biomedical Engineering, Lund University, Box 118, 221 00, Lund, Sweden. maria.pierantoni@bme.lth.se.
Isabella Silva BarretoDepartment of Biomedical Engineering, Lund University, Box 118, 221 00, Lund, Sweden.
Malin HammermanDepartment of Biomedical Engineering, Lund University, Box 118, 221 00, Lund, Sweden.
Lissa VerhoevenDepartment of Biomedical Engineering, Lund University, Box 118, 221 00, Lund, Sweden.
Elin TörnquistDepartment of Biomedical Engineering, Lund University, Box 118, 221 00, Lund, Sweden.
Vladimir NovakSwiss Light Source, Paul Scherrer Institute, 5232, Villigen, Switzerland.
Rajmund MoksoSwiss Light Source, Paul Scherrer Institute, 5232, Villigen, Switzerland.
Pernilla EliassonDepartment of Biomedical and Clinical Sciences, Linköping University, 581 83, Linköping, Sweden.
Hanna IsakssonDepartment of Biomedical Engineering, Lund University, Box 118, 221 00, Lund, Sweden.
Skåne University Hospital · SELund University · SELinköping University · SEPaul Scherrer Institute · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Achilles tendons are mechanosensitive, and their complex hierarchical structure is in part the result of the mechanical stimulation conveyed by the muscles. To fully understand how their microstructure responds to mechanical loading a non-invasive approach for 3D high resolution imaging suitable for soft tissue is required. Here we propose a protocol that can capture the complex 3D organization of the Achilles tendon microstructure, using phase-contrast enhanced synchrotron micro-tomography (SR-PhC-μCT). We investigate the effects that sample preparation and imaging conditions have on the resulting image quality, by considering four types of sample preparations and two imaging setups (sub-micrometric and micrometric final pixel sizes). The image quality is assessed using four quantitative parameters. The results show that for studying tendon collagen fibers, conventional invasive sample preparations such as fixation and embedding are not necessary or advantageous. Instead, fresh frozen samples result in high-quality images that capture the complex 3D organization of tendon fibers in conditions as close as possible to natural. The comprehensive nature of this innovative study by SR-PhC-μCT breaks ground for future studies of soft complex biological tissue in 3D with high resolution in close to natural conditions, which could be further used for in situ characterization of how soft tissue responds to mechanical stimuli on a microscopic level.

Indexed as

Achilles TendonAnimalsBiomedical EnhancementFemaleImaging, Three-DimensionalMicroscopy, Phase-ContrastRatsRats, Sprague-DawleyReproducibility of ResultsSynchrotronsX-Ray Microtomography

Identifiers

PMID34453067
PMCPMC8397765
OpenAlexW3193291642

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Registered trials

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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.