tomodrgn.commands.backproject_voxel.backproject_dataset

backproject_dataset(data: TiltSeriesMRCData | TomoParticlesMRCData, lattice: Lattice | None = None, device: device = device(type='cpu')) → tuple[tensor, tensor]

Backproject a dataset of 2-D tilt series images to a 3-D Hartley-transformed volume

Parameters:

• data – TiltSeriesMRCData object for accessing tilt images with known CTF and pose parameters

• lattice – Hartley-transform lattice of points for voxel grid operations

• device – torch device on which to perform backprojection

Return vol_ht:

torch tensor of 3-D Hartley-transformed volume without count scaling

Return counts:

torch tensor tracking weighting to be applied to each 3-D spatial frequency of vol_ht