10x Xenium
Human macula lutea
GSM9485166
silver Interactive viewer wet macular degeneration No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 17090, 39790), (1, 8545, 19895), (1, 4272, 9947), (1, 2136, 4973), (1, 1068, 2486)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (16646, 38280), (8323, 19140), (4161, 9570), (2080, 4785), (1040, 2392)
│ └── 'nucleus_labels': DataTree[yx] (15364, 38249), (7682, 19124), (3841, 9562), (1920, 4781), (960, 2390)
├── Points
│ └── 'transcripts': DataFrame with shape: (11940685, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (32609, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (32609, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (32315, 2) (2D shapes)
└── Tables
└── 'table': AnnData (32609, 5100)
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("TO9zYzKiBOGrhbHp") # 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/TO9zYzKiBOGrhbHp
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid TO9zYzKiBOGrhbHp Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["TO9zYzKiBOGrhbHp0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- macula lutea
- Condition
- wet macular degeneration
- Modality
- RNA
- Observations
- 32,609
- Transcripts
- 11,940,685
- Tier
- silver
- Size
- 851 MB
- Sample ID
- GSM9485166
- License
- unknown
- Published
- Oct 2, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB