  Purpose: Histology is the gold standard for sub-cellular visualization of the
mouse brain. It offers excellent in-plane resolution, but a comparably low
out-of-plane resolution due to physical sectioning. X-ray microtomography does
not require this trade-off. Tomographic imaging of the entire mouse brain with
isotropic cellular resolution produces datasets of multiple terabytes in size.
These data must be processed and made accessible to domain experts who may have
only limited image processing knowledge.
  Approach: Extended-field X-ray microtomography covering an entire mouse brain
was performed. The 4,495 projections from 8 $\times$ 8 offset acquisitions were
stitched to reconstruct a volume of 15,000$^3$ voxels. The microtomography
volume was non-rigidly registered to the Allen Mouse Brain Common Coordinate
Framework v3 based on a combination of image intensity and landmark pairs.
  Results: We present a 3.3 teravoxel dataset covering a full mouse brain with
0.65 $\mu$m voxel size. The data were blockwise transformed to a common
coordinate system, then stored in a public repository with a hierarchical
format for navigation and overlay with anatomical annotations in online viewers
such as Neuroglancer or siibra-explorer.
  Conclusions: This study demonstrates X-ray imaging and data processing for a
full mouse brain, augmenting current atlases by improving resolution in the
third dimension by an order of magnitude. The data are publicly available and
easily accessible for domain experts via browser-based viewers.
