PlethoraChutney

#!/usr/bin/env python
import sys
import struct

with open(sys.argv[1], "rb") as f:
    [nx, ny, nz] = [x[0] for x in struct.iter_unpack('i', f.read(12))]

    # don't care about mode, start
    _ = f.read(16)

PlethoraChutney

#!/usr/bin/env python

from cryosparc.tools import CryoSPARC
import json
import argparse
import numpy as np

# you would need to enter your information for CryoSPARC here
with open('/u/rposert/instance-info.json', 'r') as f:
    instance_info = json.load(f)

PlethoraChutney

PlethoraChutney

PlethoraChutney

PlethoraChutney

PlethoraChutney

PlethoraChutney

from cryosparc.tools import CryoSPARC
import numpy as np

cs = CryoSPARC(
  # you'll need env variables here, or just set stuff directly
)
cs.test_connection()

# we will filter fullsize_particles so that only the intersection with
# downsampled particles are retained. ctf, alignments, etc. will all

PlethoraChutney

return {
    Span = function (elem)
        if quarto.doc.is_format('docx') then
            if elem.classes:includes('aside') then
                return ""
            else
                return elem
            end
        end
    end

PlethoraChutney

#!/usr/bin/env python
import numpy as np
import pandas as pd
import umap
import sys
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.preprocessing import StandardScaler
from cryosparc.dataset import Dataset