Quantifying micro-mechanical properties of soft biological tissues with scanning acoustic microscopy

Xuegen Zhao, Steven Wilkinson, Riaz Akhtar, Michael J. Sherratt, Rachel E B Watson, Brian Derby

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    In this study we have established a new approach to more accurately map acoustic wave speed (which is a measure of stiffness) within soft biological tissues at micrometer length scales using scanning acoustic microscopy. By using thin (5 μm thick) histological sections of human skin and porcine cartilage, this method exploits the phase information preserved in the interference between acoustic waves reflected from the substrate surface as well as internal reflections from the acoustic lens. A stack of images were taken with the focus point of acoustic lens positioned at or above the substrate surface, and processed pixel by pixel using custom software developed with LABVlEW and IMAQ (National Instruments) to extract phase information. Scanning parameters, such as acoustic wave frequency and gate position were optimized to get reasonable phase and lateral resolution. The contribution from substrate inclination or uneven scanning surface was removed prior to further processing. The wave attenuation was also obtained from these images. © 2011 Materials Research Society.
    Original languageEnglish
    Title of host publicationMaterials Research Society Symposium Proceedings
    Place of PublicationBr J Dermatol
    PublisherCambridge University Press
    Pages181-186
    Number of pages5
    Volume1301
    ISBN (Print)9781605112787
    DOIs
    Publication statusPublished - 2011
    Event2010 MRS Fall Meeting - Boston, MA, United States
    Duration: 29 Nov 20103 Dec 2010

    Conference

    Conference2010 MRS Fall Meeting
    Country/TerritoryUnited States
    CityBoston, MA
    Period29/11/103/12/10

    Fingerprint

    Dive into the research topics of 'Quantifying micro-mechanical properties of soft biological tissues with scanning acoustic microscopy'. Together they form a unique fingerprint.

    Cite this