10x Xenium
Human rectum
GSM9345503
bronze Interactive viewer ulcerative colitis Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 10318, 25621), (1, 5159, 12810), (1, 2579, 6405), (1, 1289, 3202), (1, 644, 1601)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (10046, 24198), (5023, 12099), (2511, 6049), (1255, 3024), (627, 1512)
│ └── 'nucleus_labels': DataTree[yx] (8475, 21051), (4237, 10525), (2118, 5262), (1059, 2631), (529, 1315)
├── Points
│ └── 'transcripts': DataFrame with shape: (228151, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (36654, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (36654, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (36129, 2) (2D shapes)
└── Tables
└── 'table': AnnData (36654, 322)
with coordinate systems:
▸ 'global', with elements:
morphology_mip (Images), cell_labels (Labels), nucleus_labels (Labels), transcripts (Points), cell_boundaries (Shapes), cell_circles (Shapes), nucleus_boundaries (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("I11cgw3C4iVw57dI") # latest version
sdata = artifact.load() # cache, then load into memory
group = artifact.open() # stream without downloading
path = artifact.cache() # sync into the local cache, returns the path Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/I11cgw3C4iVw57dI
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid I11cgw3C4iVw57dI Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["I11cgw3C4iVw57dI0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- rectum
- Condition
- ulcerative colitis
- Modality
- RNA
- Observations
- 36,654
- Transcripts
- 228,151
- Tier
- bronze
- Size
- 248 MB
- Sample ID
- GSM9345503
- License
- unknown
- Published
- Mar 13, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB