neuralib-atlas 0.7.3

Tools for hierarchical representations of the mouse brain anatomy

neuralib-atlas

Tools for hierarchical representations of the mouse brain anatomy, providing Python interfaces to brain atlases, 3D visualization, and anatomical data manipulation.

Overview

neuralib-atlas is a modular Python package for working with mouse brain atlases in systems neuroscience research. It provides:

• Atlas Data Access: Load and query multiple mouse brain atlases (Allen CCF, Kim, Perens, Princeton) via BrainGlobeAtlas API
• 3D Visualization: Interactive brain region rendering using BrainRender
• CCF Tools: DataFrame-based manipulation of Allen Common Coordinate Framework (CCF) annotations
• Anatomical Mapping: Coordinate transformations and region hierarchy navigation
• CLI Tools: Command-line interfaces for quick visualization tasks

Features

Atlas Support

Access to multiple mouse brain atlases at various resolutions:

• Allen Mouse Brain Atlas (10um, 25um, 50um, 100um)
• Kim Mouse Atlas (10um, 25um, 50um, 100um)
• Perens LSFM Mouse (20um)
• Perens Stereotaxic Mouse MRI (25um)
• Princeton Mouse (20um)

3D Brain Rendering

• Render specific brain regions with customizable colors and transparency
• Visualize region-of-interest (ROI) coordinates from experimental data
• Display probe placements with depth specifications
• Export high-quality images and interactive scenes

CCF Dataframe Operations

• Load and manipulate Allen CCF structure hierarchies as Polars DataFrames
• Navigate parent-child relationships in the anatomical tree
• Filter regions by criteria (cortex, subcortex, specific hierarchies)
• Map between annotation IDs and anatomical structures

Cell Atlas Integration

Query and analyze cell type distributions across brain regions using integrated cell atlas data.

Installation

From PyPI

pip install neuralib-atlas

From Source (uv venv recommended)

git clone https://github.com/ytsimon2004/neuralib2.git
cd neuralib2/packages/neuralib-atlas
uv pip install -e . # if using uv
pip install -e .  # if using conda env

Optional Dependencies

pip install neuralib-atlas[brainrender]
pip install neuralib-atlas[all]

Requirements

• Python 3.11 or 3.12
• Core dependencies: brainglobe-atlasapi, pynrrd, openpyxl, anytree, plotly, fastexcel
• BrainRender CLI dependencies are available through the brainrender extra
• See pyproject.toml for full dependency list

CLI Tools

Render Brain Regions

# Render visual cortex areas
nl_brainrender area -R VISp,VISl,VISal,VISam

# Render with custom colors
nl_brainrender area -R SSp,SSs --color red,blue

Render ROI from File

# Visualize coordinates from experimental data
nl_brainrender roi -F roi_coordinates.csv

Render Probe Placement

# Display probe track with specified depth
nl_brainrender probe -F probe_coords.csv --depth 3000

Documentation

• Main Documentation: https://neuralib2.readthedocs.io/
• GitHub Repository: https://github.com/ytsimon2004/neuralib2
• Issue Tracker: https://github.com/ytsimon2004/neuralib2/issues

License

BSD 3-Clause License. See LICENSE file for details.

Contributing

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch
3. Submit a pull request with clear description

For bug reports and feature requests, use the GitHub issue tracker.

Acknowledgments

This package builds on:

• BrainRender - 3D visualization of brain data
• BrainGlobe Atlas API - Unified atlas access
• Allen Brain Atlas - Mouse brain reference atlases