scallops.visualize.registration.plot_registration

scallops.visualize.registration.plot_registration(stacks, dpi=250, titles=None, plot_cols=None, **kwargs)

Plot raw images from a list of DataArray with registered images to be visualized.

Parameters:

• stacks (Sequence[DataArray]) – List of DataArray with registered images to be visualized.

• dpi (int) – Requested DPI (only relevant if saving to file or visualizing in Jupyter notebooks).

• titles (None | Sequence[str]) – Optional list of titles. Must be the same length as the number of stacks to plot.

• plot_cols (None | int) – Number of columns to plot.

• kwargs – Key word arguments to be passed to plt.subplots

Returns:

List of matplotlib Axes representing the plotted images.

Example:

import numpy as np
import xarray as xr
from scallops.visualize.registration import plot_registration

# Create synthetic DataArrays
image_shape = (3, 4, 100, 100)  # (t, c, y, x)
stacks = [
    xr.DataArray(np.random.rand(*image_shape), dims=("t", "c", "y", "x")),
    xr.DataArray(np.random.rand(*image_shape), dims=("t", "c", "y", "x")),
    xr.DataArray(np.random.rand(*image_shape), dims=("t", "c", "y", "x")),
]

# Plot the registration results
axes = plot_registration(
    stacks, dpi=150, titles=["Stack 1", "Stack 2", "Stack 3"]
)
plt.show()

Return type:

Sequence[Axes]