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Mechanical difference between white and gray matter in the rat cerebellum measured by scanning force microscopy
Authors:Andreas F Christ  Kristian Franze  Helene Gautier  Pouria Moshayedi  James Fawcett  Robin JM Franklin  Ragnhildur T Karadottir  Jochen Guck
Institution:1. Department of Mechanical Science and Engineering, University of Illinois at Urbana–Champaign, Urbana, IL 61801, USA;2. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL 61801, USA;3. Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA;4. Department of Radiology, Dartmouth–Hitchcock Medical Center, Lebanon, NH 03756, USA;5. Norris Cotton Cancer Center, Dartmouth–Hitchcock Medical Center, Lebanon, NH 03756, USA;6. Department of Surgery, College of Medicine, University of Illinois at Urbana–Champaign, Urbana, IL 61801, USA;7. Department of Bioengineering, University of Illinois at Urbana–Champaign, Urbana, IL 61801, USA
Abstract:The mechanical properties of tissues are increasingly recognized as important cues for cell physiology and pathology. Nevertheless, there is a sparsity of quantitative, high-resolution data on mechanical properties of specific tissues. This is especially true for the central nervous system (CNS), which poses particular difficulties in terms of preparation and measurement. We have prepared thin slices of brain tissue suited for indentation measurements on the micrometer scale in a near-native state. Using a scanning force microscope with a spherical indenter of radius ~20 μm we have mapped the effective elastic modulus of rat cerebellum with a spatial resolution of 100 μm. We found significant differences between white and gray matter, having effective elastic moduli of K=294±74 and 454±53 Pa, respectively, at 3 μm indentation depth (ng=245, nw=150 in four animals, p<0.05; errors are SD). In contrast to many other measurements on larger length scales, our results were constant for indentation depths of 2–4 μm indicating a regime of linear effective elastic modulus. These data, assessed with a direct mechanical measurement, provide reliable high-resolution information and serve as a quantitative basis for further neuromechanical investigations on the mechanical properties of developing, adult and damaged CNS tissue.
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