March 2026#
Recent progress#
We’ve created three new software tools, and we’ve worked on improving and maintaining the BrainGlobe infrastructure. Specifically we have made
An alpha version of
brainglobe-registration, allowing registration of 2D data (e.g. conventional tissue sections) to an atlas.An alpha version of
brainglobe-stitch, allowing efficient stitching of light-sheet data with a GUI.An alpha version of template building tools, which have been used with help of the BrainGlobe team to make three new atlases.
An updated Pytorch backend for
cellfinder, simplifying installation and support, and laying the groundwork for new analyses.Improvements to test coverage, benchmarking tools, documentation and ease of installation.
Improvements and bug fixes to BrainGlobe atlases and related validation tools.
More atlases available via the BrainGlobe Atlas API.
High-level priorities for the next year#
Overall, the team will focus on further expanding access to BrainGlobe through new features, atlases and atlas-registered data. In particular, we are working towards
Enabling users to detect and analyse more cells, e.g. from c-Fos experiments.
Enabling users to detect and analyse cells from larger (e.g. rat) brains.
Enabling users to create their own templates and annotations and use them within BrainGlobe.
Making atlas downloads faster and leaner (BrainGlobe Atlas API v2).
Making diverse atlas-registered data such as gene expression maps accessible via BrainGlobe GUIs (BrainGlobe Data API).
Allowing easy registration of single histological sections and images of brain subvolumes to BrainGlobe atlases.
Adding existing API documentation to website.
Further expanding the number of atlases available via the BrainGlobe Atlas API.
Future plans#
The items below are in our plans, but not currently considered an immediate priority
Consistent and documented API, e.g.
from brainglobe import cellfinderorfrom brainglobe import cell_detector_3D(or both)A
naparimeta-plugin