10X Visium Spatial transcriptomics of murine colon at d14 (mucosa healing) in B cell sufficient-deficient mice

import lamindb as ln
import spatialdata as sd

coll = ln.Collection.get(key="hest-10x-visium-spatial-transcriptomics-of-murine-colon-at-d14-mucosa-healing-in-b-cell-sufficient-deficient-mice")
coll.ordered_artifacts.df()                 # the 2 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]

# …or load each straight into memory as a SpatialData object:
sdatas = {a.key: sd.read_zarr(a.cache()) for a in coll.ordered_artifacts.all()}