Collections / 10x-human-tonsil-data-xenium-human-multi-tissue-and-cancer-panel-1-standard

10x-human-tonsil-data-xenium-human-multi-tissue-and-cancer-panel-1-standard

Datasets2
Size~25 GB
Assay10x Xenium
Samplehuman · tonsil
KindOther
Python · lamindb
import lamindb as ln
import spatialdata as sd

coll = ln.Collection.get(key="10x-human-tonsil-data-xenium-human-multi-tissue-and-cancer-panel-1-standard")
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()}
Open in Vitessce
10x Xenium
Human tonsil
human-tonsil-data-xenium-human-multi-tissue-and-cancer-panel-1-standard__htonsil-follicular-lymphoid-hyperplasia-section-ffpe
human tonsil 12 GB 864,388 obs silver H&E
Technology10x Xenium
Organismhuman
Tissuetonsil
Size12 GB
Obs864,388
Magnification40x · 0.002 µm/px
silver H&E Open in Vitessce
Open in Vitessce
10x Xenium
Human tonsil
human-tonsil-data-xenium-human-multi-tissue-and-cancer-panel-1-standard__htonsil-reactive-follicular-hyperplasia-section-ffpe
human tonsil 13 GB 1,349,620 obs silver H&E
Technology10x Xenium
Organismhuman
Tissuetonsil
Size13 GB
Obs1,349,620
Magnification40x · 0.002 µm/px
silver H&E Open in Vitessce