Collections / 10x-xenium-human-lung-cancer-post-xenium-technote

10x-xenium-human-lung-cancer-post-xenium-technote

Datasets2
Size~21 GB
Assay10x Xenium
Samplehuman · lung
KindOther
Python · lamindb
import lamindb as ln
import spatialdata as sd

coll = ln.Collection.get(key="10x-xenium-human-lung-cancer-post-xenium-technote")
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 lung
xenium-human-lung-cancer-post-xenium-technote__human-lung-cancer-ffpe
human lung lung cancer 5.9 GB 278,659 obs silver H&E
Technology10x Xenium
Organismhuman
Tissuelung
Conditionlung cancer
Size5.9 GB
Obs278,659
Magnification40x · 0.012 µm/px
silver H&E Open in Vitessce
Open in Vitessce
10x Xenium
Human lung
xenium-human-lung-cancer-post-xenium-technote__prime-human-lung-cancer-ffpe
human lung lung cancer 16 GB 278,328 obs silver H&E
Technology10x Xenium
Organismhuman
Tissuelung
Conditionlung cancer
Size16 GB
Obs278,328
Magnification40x · 0.010 µm/px
silver H&E Open in Vitessce