ArticleBiomedical optics express2023
Analysis of friction in quantitative micro-elastography.
Article in Biomedical optics express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Phantoms for use in optical coherence elastography.Journal of biomedical optics · 2026Review
- Analysis of image formation in optical palpation.Journal of biophotonics · 2025Article
- Development of breast-mimicking phantoms for use in optical coherence elastography.Journal of biomedical optics · 2025Article
- Three-dimensional quantitative micro-elastography reveals alterations in spatial elasticity patterns in murine ovaries during ageing.Communications biology · 2025Article
- Wide-field quantitative micro-elastography of freshly excised human prostate.Biomedical optics express · 2025Article
- Design and characterization of an optical phantom for mesoscopic multimodal fluorescence lifetime imaging and optical coherence elastography.Biomedical optics express · 2025Article
- Multimodal mechano-microscopy reveals mechanical phenotypes of breast cancer spheroids in three dimensions.APL bioengineering · 2024Article
- A novel stress sensor enables accurate estimation of micro-scale tissue mechanics in quantitative micro-elastography.APL bioengineering · 2024Article
- Article
- 30 Years of Optical Coherence Tomography: introduction to the feature issue.Biomedical optics express · 2023Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative micro-elastography (QME) is a compression-based optical coherence elastography technique capable of measuring the mechanical properties of tissue on the micro-scale. As QME requires contact between the imaging window and the sample, the presence of friction affects the accuracy of the estimated elasticity. In previous implementations, a lubricant was applied at the contact surfaces, which was assumed to result in negligible friction. However, recently, errors in the estimation of elasticity caused by friction have been reported. This effect has yet to be characterized and is, therefore, not well understood. In this work, we present a systematic analysis of friction in QME using silicone phantoms. We demonstrate that friction, and, therefore, the elasticity accuracy, is influenced by several experimental factors, including the viscosity of the lubricant, the mechanical contrast between the compliant layer and the sample, and the time after the application of a compressive strain. Elasticity errors over an order of magnitude were observed in the absence of appropriate lubrication when compared to uniaxial compression testing. Using an optimized lubrication protocol, we demonstrate accurate elasticity estimation (<10% error) for nonlinear elastic samples with Young's moduli ranging from 3 kPa to 130 kPa. Finally, using a structured phantom, we demonstrate that friction can significantly reduce mechanical contrast in QME. We believe that the framework established in this study will facilitate more robust elasticity estimations in QME, as well as being readily adapted to understand the effects of friction in other contact elastography techniques.
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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.