In [1]:
from tomogram_datasets import all_fm_tomograms
import numpy as np
from visualize_voxels import visualize as viz
tomos = all_fm_tomograms()
n_flagellar_motors = [len(tomo.annotation_points()) for tomo in tomos]
super_tomo = tomos[np.argsort(n_flagellar_motors)[-3]]
In [6]:
viz(
super_tomo.get_data(),
marks=super_tomo.annotation_points(),
markalpha=0.5,
axis=0,
slices=np.linspace(80, 320, 100),
fps=16
)
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