atlas-rat
atlas-rat constructs a detailed atlas of the rat spinal cord by quantifying axon morphometry and white matter microstructure.
Key Features:
- Comprehensive Morphometric Data: Extracts axon diameter, axonal density, and g-ratio from full-slice scanning electron microscopy images.
- Segmentation Algorithms: Applies advanced segmentation and image-processing algorithms to delineate axonal and myelin structures in electron microscopy images.
- 4D NIfTI Volume Output: Produces a 4-dimensional NIfTI volume encoding morphometric data across spinal levels C1-C8, T1-T13, L1-L6, and S1-S4, with each slice corresponding to a specific spinal level.
- Atlas Registration: Aligns the generated atlas to the Watson spinal cord white matter atlas via registration procedures.
- Statistical Analysis: Computes statistics across metrics, spinal levels, and tracts to quantify variations in axon diameter and g-ratio.
Scientific Applications:
- Neurological Disease Research: Enables analysis of white matter microstructure to investigate pathophysiological changes in neurological disorders.
- Comparative Studies: Supports comparison of morphometric metrics across animal models or experimental conditions.
Methodology:
Processes full-slice scanning electron microscopy images with segmentation and image-processing algorithms to extract axon diameter, axonal density, and g-ratio; assembles these metrics into 4D NIfTI volumes across specified spinal levels; registers volumes to the Watson spinal cord white matter atlas; and computes statistics across metrics, spinal levels, and tracts.
Topics
Details
- Programming Languages:
- MATLAB
- Added:
- 11/14/2019
- Last Updated:
- 12/3/2020
Operations
Publications
Saliani A, Zaimi A, Nami H, Duval T, Stikov N, Cohen-Adad J. Construction of a rat spinal cord atlas of axon morphometry. NeuroImage. 2019;202:116156. doi:10.1016/j.neuroimage.2019.116156. PMID:31491525.
PMID: 31491525
Funding: - Fonds de recherche du Québec – Nature et technologies: 2015-PR-182754
- Canadian Institutes of Health Research: FDN-143263
- Natural Sciences and Engineering Research Council of Canada: 06774-2016, 435897-2013
- Canada Foundation for Innovation: 32454
- Fonds de Recherche du Québec - Santé: 28826, 35250