Hi cryoSPARC team,

I am using the latest version cryoSPARC v2. With my cryo dataset, I extracted particles from 10 micrographs and I could run 2D classification successfully. However, the 2D classification failed at the first iteration if I extract all of the particles (about 400k) from the same dataset with the exact same settings. The input is the particles from the extraction job. And the only non-default parameters that I changed was the number of classes.

I got all black classes and the following error message for 2D classification:

Iteration 1

– Effective number of classes per image: min nan | 25-pct nan | median nan | 75-pct nan | max nan

– Probability of best class per image: min nan | 25-pct nan | median nan | 75-pct nan | max nan

Traceback (most recent call last):

File “cryosparc2_worker/cryosparc2_compute/run.py”, line 78, in cryosparc2_compute.run.main

File “cryosparc2_worker/cryosparc2_compute/jobs/class2D/run.py”, line 453, in cryosparc2_compute.jobs.class2D.run.run_class_2D

File “cryosparc2_compute/plotutil.py”, line 830, in plot_hist

ax.hist(vals,bins=bins,range=range, normed=normed, cumulative=cumulative)

File “/home/cryosparc/cryosparc-software/cryosparc2_worker/deps/anaconda/lib/python2.7/site-packages/matplotlib/**init**.py”, line 1812, in inner

return func(ax, *args, **kwargs)

File “/home/cryosparc/cryosparc-software/cryosparc2_worker/deps/anaconda/lib/python2.7/site-packages/matplotlib/axes/_axes.py”, line 6010, in hist

m, bins = np.histogram(x[i], bins, weights=w[i], **hist_kwargs)

File “/home/cryosparc/cryosparc-software/cryosparc2_worker/deps/anaconda/lib/python2.7/site-packages/numpy/lib/function_base.py”, line 505, in histogram

‘range parameter must be finite.’)

ValueError: range parameter must be finite.