Sectioning Soft Materials with an Oscillating Blade
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AbstractSectioning soft tissues, e.g., brain, into thin slices is frequently performed using an oscillating blade microtome; it is generally observed that a combination of normal and shear cutting forces at an appropriate frequency will minimize the material deformation, leading to better sectioning results. To understand and better exploit this phenomenon, we theoretically and experimentally study the cutting mechanism of soft materials using a custom-built oscillating blade microtome. Analytical models are derived to deterministically link the sectioning quality to the cutting parameters, including blade oscillation frequency, amplitude, and sample feed rate. Experiments have been performed on 2% agarose gels to verify the predicted results over a range of operating parameters. Importantly, for the first time the study reveals that the sectioning results given by microtomes can be greatly enhanced when the cutting frequency is above 150 Hz due to the material stiffening effect—a unique trait of viscoelastic materials. The model may be used to predict the optimal cutting parameters for various tissues. As most state-of-the-art microtomes operate below 100 Hz, the results also set the new requirements for the next-generation tissue sectioning and surgical instruments.
Acceptance Date13/11/2018
All Author(s) ListJi Wang, Chenglin Li, Shih-Chi Chen
Journal namePrecision Engineering
Year2019
Month3
Volume Number56
PublisherElsevier
Place of PublicationUSA
Pages96 - 100
ISSN0141-6359
eISSN1873-2372
LanguagesEnglish-United States
Keywordsmicrotome, tissue cutting, soft material cutting

Last updated on 2020-15-10 at 01:17