10x Xenium
Mouse eye
GSM10000911
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 34071, 36917), (1, 17035, 18458), (1, 8517, 9229), (1, 4258, 4614), (1, 2129, 2307)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (33538, 36657), (16769, 18328), (8384, 9164), (4192, 4582), (2096, 2291)
│ └── 'nucleus_labels': DataTree[yx] (33515, 36655), (16757, 18327), (8378, 9163), (4189, 4581), (2094, 2290)
├── Points
│ └── 'transcripts': DataFrame with shape: (91809476, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (37071, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (37071, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (34134, 2) (2D shapes)
└── Tables
└── 'table': AnnData (37071, 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("WaheMdbYBQUUqAZD") # 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/WaheMdbYBQUUqAZD
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid WaheMdbYBQUUqAZD Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["WaheMdbYBQUUqAZD0000"])[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
- Modality
- RNA
- Observations
- 37,071
- Transcripts
- 91,809,476
- Tier
- silver
- Size
- 2.5 GB
- Sample ID
- GSM10000911
- 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