ArticleJournal of the Royal Society, Interface2014
Simple and accurate methods for quantifying deformation, disruption, and development in biological tissues.
Article in Journal of the Royal Society, Interface, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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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.
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Who cites it
25 citing papers in PubMed.
- StrainMapperJ: An Easy-to-Use Digital Image Correlation Toolkit for Exploring and Quantifying the Mechanics of Deforming Tissues.Results and problems in cell differentiation · 2026Article
- Fatigue loading and volumetric microscopy demonstrate changes to the mouse cervix throughout and after pregnancy.Connective tissue research · 2025Article
- Tension anisotropy drives fibroblast phenotypic transition by self-reinforcing cell-extracellular matrix mechanical feedback.Nature materials · 2025Article
- Deep learning enables accurate soft tissue tendon deformation estimation in vivo via ultrasound imaging.Scientific reports · 2024Article
- MicroBundleCompute: Automated segmentation, tracking, and analysis of subdomain deformation in cardiac microbundles.PloS one · 2024Article
- Paralysis by analysis: Overcoming cardiac contraction with computer vision.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Guidelines for ex vivo mechanical testing of tendon.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023Review
- Virtual blebbistatin: A robust and rapid software approach to motion artifact removal in optical mapping of cardiomyocytes.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Quantitative Validation of MRI-Based Motion Estimation for Brain Impact Biomechanics.Computational biomechanics for medicine. Personalisation, validation and therapy · 2020Article
- Regularization-Free Strain Mapping in Three Dimensions, With Application to Cardiac Ultrasound.Journal of biomechanical engineering · 2019Article
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- Physiology and Engineering of the Graded Interfaces of Musculoskeletal Junctions.Annual review of biomedical engineering · 2018Review
- Enhanced tendon-to-bone repair through adhesive films.Acta biomaterialia · 2018Article
- The role of confined collagen geometry in decreasing nucleation energy barriers to intrafibrillar mineralization.Nature communications · 2018Article
- Mechanically induced CaBone research · 2018Article
- Functional and Biomimetic Materials for Engineering of the Three-Dimensional Cell Microenvironment.Chemical reviews · 2017Review
- Toughening of fibrous scaffolds by mobile mineral deposits.Acta biomaterialia · 2017Article
- Micro-mechanical properties of the tendon-to-bone attachment.Acta biomaterialia · 2017Article
- The microstructure and micromechanics of the tendon-bone insertion.Nature materials · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
When mechanical factors underlie growth, development, disease or healing, they often function through local regions of tissue where deformation is highly concentrated. Current optical techniques to estimate deformation can lack precision and accuracy in such regions due to challenges in distinguishing a region of concentrated deformation from an error in displacement tracking. Here, we present a simple and general technique for improving the accuracy and precision of strain estimation and an associated technique for distinguishing a concentrated deformation from a tracking error. The strain estimation technique improves accuracy relative to other state-of-the-art algorithms by directly estimating strain fields without first estimating displacements, resulting in a very simple method and low computational cost. The technique for identifying local elevation of strain enables for the first time the successful identification of the onset and consequences of local strain concentrating features such as cracks and tears in a highly strained tissue. We apply these new techniques to demonstrate a novel hypothesis in prenatal wound healing. More generally, the analytical methods we have developed provide a simple tool for quantifying the appearance and magnitude of localized deformation from a series of digital images across a broad range of disciplines.
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