Abstract
Stochastic surface patterns form an important requirement to facilitate digital image correlation and to subsequently quantify material properties of various tissues when loaded and deformed without artefacts arising from material slippage. Depending on the samples’ natural colour, a surface pattern is created by speckling with colour or dye only, or it requires combined surface coating and speckling before to enhance the contrast, to facilitate high-quality data recording for mechanical evaluation. However, it is unclear to date if the colours deployed for coating and speckling do significantly alter the biomechanical properties of soft tissues. The given study investigated the biomechanical properties of 168 human iliotibial tract samples as a model for collagen-rich soft tissues, separated into four groups: untreated, graphite speckling only, water-based coating plus graphite speckling and solvent-based coating plus graphite speckling following a standardized approach of application and data acquisition. The results reveal that elastic modulus, ultimate tensile strength and strain at maximum force of all groups were similar and statistically non-different (p ≥ 0.69). Qualitatively, the speckle patterns revealed increasing contrast differences in the following order: untreated, graphite speckling only, water-based coating plus graphite speckling and solvent-based coating plus graphite speckling. Conclusively, both coating by water- and solvent-based paints, as well as exclusive graphite speckling, did not significantly influence the load-deformation parameters of the here used human iliotibial tract as a model for collagen-rich soft tissues. In consequence, water- and solvent-based coating paints seem equally suitable to coat collagen-rich soft tissues for digital image correlation, resulting in suitable speckle patterns and unbiased data acquisition.
Highlights
Stochastic surface patterns form an important requirement to facilitate digital image correlation and to subsequently quantify material properties of various tissues when loaded and deformed without artefacts arising from material slippage
Digital image correlation (DIC) is an established method in experimental biomechanics to obtain load-deformation properties such as elastic modulus ( Emod), ultimate tensile strength (UTS) or strain at maximum force ( SFmax) of biological tissues based on surface deformation when the tissues are loaded and subsequently d eformed[1,2,3,4,5]
It is to date unclear whether and to what extent surface treatments of human collagen-rich soft tissues to create stochastic speckle patterns alter their biomechanical properties as a measurement setup-related factor
Summary
Stochastic surface patterns form an important requirement to facilitate digital image correlation and to subsequently quantify material properties of various tissues when loaded and deformed without artefacts arising from material slippage. The given study investigated the biomechanical properties of 168 human iliotibial tract samples as a model for collagen-rich soft tissues, separated into four groups: untreated, graphite speckling only, water-based coating plus graphite speckling and solvent-based coating plus graphite speckling following a standardized approach of application and data acquisition. A black-on-white speckle pattern with black speckles on a white-coated background is created, especially if the specimens are too dry to assure a proper attachment of the graphite and if the natural surface colour fails to create a sufficient contrast to the added s peckles[11] It is to date unclear whether and to what extent surface treatments of human collagen-rich soft tissues to create stochastic speckle patterns alter their biomechanical properties as a measurement setup-related factor. Based on the dehydrating components of coating sprays and the previous observations on hard tissues, we investigated the two following hypotheses: 1. The load-deformation properties of the human iliotibial tract are altered by coating sprays
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.