Mouse Head Reference Atlas Framework
Welcome to the Brain Architecture Project’s Mouse Head Reference Atlas Framework. This section provides access to all mouse-related resources.
Reference Atlas
The Mouse Head Reference Atlas Framework provides a standardized approach for mapping and analyzing mouse head anatomy.
Key Features
- High-resolution 3D atlas
- Standardized coordinate system
- Anatomical landmarks
- Cross-sectional views
View Mouse Atlas Details | Download Atlas Data |
Available Data Sets
Mouse Whole Head Imaging Data
Comprehensive collection of standardized datasets for mouse brain architecture.
Categories
- Raw Imaging Data
- Histology images
- Radiology images
- Processed Data
- Segmentation maps
- Registration results
- Feature maps
- Co-registered volumes
Browse Mouse Datasets | Download Instructions |
Registration Framework
Getting Started
Tools and documentation for registering your data with the mouse head reference atlas.
Quick Start
- Install dependencies
- Download reference data
- Prepare your data
- Run registration
View Registration Documentation | Download Tools |
Skeletonization Framework
Getting Started
Tools and documentation for Skeletonizing tracer-injected Datasets.
Quick Start
- Install dependencies
- Download reference data
- Prepare your data
- Run Skeletonization and Summarization.
Code Resources
Available Tools
Registration Framework
Tools and utilities for registering your data with our mouse head reference atlas.
- Data preprocessing scripts
- Registration algorithms
- Validation tools
Analysis Tools
Collection of analysis scripts and notebooks.
- Statistical analysis
- Visualization tools
- Data processing pipelines
Data Processing Tools
- segVoxReassign - Tools for remapping Allen Brain Atlas segmentation IDs to manageable ranges
- Feature extraction utilities
- Segmentation helpers
- align-qc - Tools for quality control and clean up 3D reconstruction of nissls, and for performing semi-automatic rigid alignment (registration) using manual point selection and gradient-based optimization.
View Code Documentation | GitHub Repository |