The BrainGlobe Initative’s (https://brainglobe.info) suite of tools for computational neuroanatomy has been successful primarily because it is easy-to-use. These tools include atlas registration, feature segmentation and visualisation software. Our aim is that software we create is independent of species or image modality, and can be installed and run by anyone with a reasonably modern laptop within minutes.

Here, we describe current and planned work improving and extending the BrainGlobe tools further, with ease-of-use in mind. This includes a simplified installation procedure, automated benchmarking and end-to-end tests on real-life data, enhanced and targeted documentation, and consistent provision of interoperable graphical user interfaces (plugins for the open-source image viewer "napari") backed by Python APIs for core computation. The latest plugin allows intuitive visualisation and exploration of atlas registered data in a fully graphical user environment.

While these improvements are mainly aimed at improving the user experience, they additionally improve the contributor experience. For example, the simplified installation procedure and benchmarking tests mean we can confidently refactor and share parts of the code and documentation for increased maintainability behind the scenes without affecting users.