ArticleBiological procedures online2020
Bimodal Whole-Mount Imaging of Tendon Using Confocal Microscopy and X-ray Micro-Computed Tomography.
Article in Biological procedures online, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Advancing three-dimensional tendon imaging using laboratory X-ray phase contrast techniques and refined sample preparation.Scientific reports · 2026Article
- Comparison of physical, mechanical and biological properties of a porcine urinary bladder acellular matrix collagen membrane with six other collagen membranes of animal origin.BMC oral health · 2026Article
- Ageing-related structural and cellular alterations in the mouse muscle-tendon junction.Biogerontology · 2026Article
- Rapid sonication-assisted whole tissue clearing and immunostaining.Scientific reports · 2025Article
- Article
- Exogenous interleukin-1 beta stimulation regulates equine tenocyte function and gene expression in three-dimensional culture which can be rescued by pharmacological inhibition of interleukin 1 receptor, but not nuclear factor kappa B, signaling.Molecular and cellular biochemistry · 2024Article
- Article
- Evaluation of suitable reference genes for qPCR normalisation of gene expression in a Achilles tendon injury model.PloS one · 2024Article
- The tendon interfascicular basement membrane provides a vascular niche for CD146+ cell subpopulations.Frontiers in cell and developmental biology · 2022Article
- Restraint upon Embryonic MetatarsalInternational journal of molecular sciences · 2021Article
- CD146 Delineates an Interfascicular Cell Sub-Population in Tendon That Is Recruited during Injury through Its Ligand Laminin-α4.International journal of molecular sciences · 2021Article
- Elastase treatment of tendon specifically impacts the mechanical properties of the interfascicular matrix.Acta biomaterialia · 2021Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThree-dimensional imaging modalities for optically dense connective tissues such as tendons are limited and typically have a single imaging methodological endpoint. Here, we have developed a bimodal procedure utilising fluorescence-based confocal microscopy and x-ray micro-computed tomography for the imaging of adult tendons to visualise and analyse extracellular sub-structure and cellular composition in small and large animal species.
resultsUsing fluorescent immunolabelling and optical clearing, we visualised the expression of the novel cross-species marker of tendon basement membrane, laminin-α4 in 3D throughout whole rat Achilles tendons and equine superficial digital flexor tendon 5 mm segments. This revealed a complex network of laminin-α4 within the tendon core that predominantly localises to the interfascicular matrix compartment. Furthermore, we implemented a chemical drying process capable of creating contrast densities enabling visualisation and quantification of both fascicular and interfascicular matrix volume and thickness by x-ray micro-computed tomography. We also demonstrated that both modalities can be combined using reverse clarification of fluorescently labelled tissues prior to chemical drying to enable bimodal imaging of a single sample.
conclusionsWhole-mount imaging of tendon allowed us to identify the presence of an extensive network of laminin-α4 within tendon, the complexity of which cannot be appreciated using traditional 2D imaging techniques. Creating contrast for x-ray micro-computed tomography imaging of tendon using chemical drying is not only simple and rapid, but also markedly improves on previously published methods. Combining these methods provides the ability to gain spatio-temporal information and quantify tendon substructures to elucidate the relationship between morphology and function.
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Registered trials
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.