日本語
 
Help Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細


公開

学術論文

Mechanical difference between white and gray matter in the rat cerebellum measured by scanning force microscopy

MPS-Authors
There are no MPG-Authors in the publication available
External Resource
There are no locators available
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
フルテキスト (公開)
公開されているフルテキストはありません
付随資料 (公開)
There is no public supplementary material available
引用

Christ, A. F., Franze, K., Gautier, H., Moshayedi, P., Fawcett, J., Franklin, R. J. M., Karadottir, R. T., & Guck, J. (2010). Mechanical difference between white and gray matter in the rat cerebellum measured by scanning force microscopy. JOURNAL OF BIOMECHANICS, 43(15), 2986-2992. doi:10.1016/j.jbiomech.2010.07.002.


引用: https://hdl.handle.net/21.11116/0000-0004-B3EA-A
要旨
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 similar to 20 mu m we have mapped the effective elastic modulus of rat cerebellum with a spatial resolution of 100 mu m. We found significant differences between white and gray matter, having effective elastic moduli of K=294 +/- 74 and 454 +/- 53 Pa, respectively, at 3 mu m indentation depth (n(g) = 245, n(w)=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 mu m 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. (C) 2010 Elsevier Ltd. All rights reserved.