I have done several rounds of 3D classification with downsampled particle size and I wanted to reextract the full size particles for one last round of refinement. Normally this works perfectly fine but for one particular dataset I keep getting the following error when I try to reextract using the 3D NU-refinement particle stack
Traceback (most recent call last):
File “/opt/cryoSPARC2/cryosparc2_worker/cryosparc_compute/jobs/runcommon.py”, line 1790, in run_with_except_hook
File “/opt/cryoSPARC2/cryosparc2_worker/deps/anaconda/envs/cryosparc_worker_env/lib/python3.7/threading.py”, line 870, in run
File “/opt/cryoSPARC2/cryosparc2_worker/cryosparc_compute/jobs/pipeline.py”, line 86, in stage_target
work = processor.exec(item)
File “/opt/cryoSPARC2/cryosparc2_worker/cryosparc_compute/jobs/pipeline.py”, line 43, in exec
File “/opt/cryoSPARC2/cryosparc2_worker/cryosparc_compute/jobs/extract/run.py”, line 469, in process
File “/opt/cryoSPARC2/cryosparc2_worker/cryosparc_compute/jobs/extract/extraction_gpu.py”, line 59, in do_extract_particles_single_mic_gpu
assert n.allclose(psize_align_2D, particles_in.data[‘alignments2D/psize_A’], atol=1e-4), “Particles must all have the same alignment pixel size. If multiple particle stacks were input into the job, please instead run separate extract jobs for each particle stack.”
AssertionError: Particles must all have the same alignment pixel size. If multiple particle stacks were input into the job, please instead run separate extract jobs for each particle stack.
When I try to reextract using the particle input that I used for the 3D refinement itself I get the same error. I confirmed that all particles used throughout the classification had the same pixel size. On other datasets it works fine, could anyone suggest a fix? Thank you!