10x Xenium
Mouse eye
GSM10000912
silver Interactive viewer lipodystrophy No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 37485, 36974), (1, 18742, 18487), (1, 9371, 9243), (1, 4685, 4621), (1, 2342, 2310)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (37140, 36507), (18570, 18253), (9285, 9126), (4642, 4563), (2321, 2281)
│ └── 'nucleus_labels': DataTree[yx] (37102, 36462), (18551, 18231), (9275, 9115), (4637, 4557), (2318, 2278)
├── Points
│ └── 'transcripts': DataFrame with shape: (106669943, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (60468, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (60468, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (50673, 2) (2D shapes)
└── Tables
└── 'table': AnnData (60468, 5006)
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("D7PfGKcamnQj7SWW") # 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/D7PfGKcamnQj7SWW
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid D7PfGKcamnQj7SWW Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["D7PfGKcamnQj7SWW0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- eye
- Condition
- lipodystrophy
- Modality
- RNA
- Observations
- 60,468
- Transcripts
- 106,669,943
- Tier
- silver
- Size
- 3.1 GB
- Sample ID
- GSM10000912
- License
- unknown
- Published
- Sep 1, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB