Quantitative Analysis of Synaptic Ultrastructure in The Mouse Cerebellum by Focused Ion Beam-Scanning Electron Microscopy: A novel Method for Structural Analysis
Keywords:
Neurons, Synapses, placticity, FIB-SEMAbstract
The present study was carried out to investigate the synaptic ultrastructure of the mouse cerebellum using focused ion beam scanning electron microscopy (FIB-SEM). The experiment were performed using seven weeks old wild type mice. In the present work, we used a newly established morphological investigation method of axospinous synapses (FIB-SEM). This method enables fully automated acquisition of serial ultrastructural data at a spatial resolution of 10 nm in z-axis without the ultrastructure distortions. FIB-SEM enabled easily identification of axospinous synapses in the mouse cerebellum where individual synaptic ultra-structure can be easily identified and measured. The results indicated that, the cerbellum axospinous synapses have presynaptic and postsynaptic compartment. The presynaptic compartment consists of the presynaptic axonal varicosity, synaptic vesicles and mitochondria. The postsynaptic compartment consists of the dendritic spine, postsynaptic density and smooth endoplasmic reticulum and spine apparatus. The volume of presynaptic and postsynaptic compartments was varaible. The results indicated a significant positive correlation between presynaptic compartments as well as between postsynaptic compartments. Moreover, this study represented novel correlations between presynaptic and postsynaptic parameters.
Â
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Journal of Advanced Veterinary Research
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles under the following conditions: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
Attribution-NonCommercial-NoDerivs
CC BY-NC-ND
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license