🟢 Vault

easymode segment vault

The vault model was trained on manually curated 3D subtomograms that were labelled by a 2D Ais UNet. The Ais net output a shape-based segmentation of vaults; as a result, the 3D easymode network also outputs a vault shape, although with strong missing wedge artefacts. This does not really matter for picking.

For validation we used dataset EMPIAR-11845, consisting of 152 tomograms of FIB-milled D. discoideum cells. For the sake of the validation we re-trained the vault networks with data from this source excluded from the training collection.

Vaults remain rare even in this dataset; we found on average between 2 to 3 particles per tomogram, or 393 in total. With D39 symmetry, subtomogram averaging plateaued at a resolution of 13.8 Å.

Subtomogram average of the D. discoideum vault complex at 13.8 Å resolution with D39 symmetry.

Example output

Example of easymode segment vault output overlaid on a tomogram from EMPIAR-11899 (FIB-milled D. discoideum).