I see the s, t, and R attributes in the rigid_registration object, which is iteratively used to correct the Y point cloud… but as the registration proceeds, those values seem to converge on 1, [0 0 0], and the identity matrix (respectively), and I can’t seem to figure out how to rebuild the “complete” translation vector or rotation matrix that could be used to transform the original Y point cloud in a single step, which I could then use to register channels in my non-point-cloud experimental images