A new epithelial cell subpopulation predicts response to surgery, chemotherapy, and immunotherapy in bladder cancer

import lamindb as ln
import spatialdata as sd

coll = ln.Collection.get(key="hest-a-new-epithelial-cell-subpopulation-predicts-response-to-surgery-chemotherapy-and-immunotherapy-in-bladder-cancer")
coll.ordered_artifacts.df()                 # the 4 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()}