Visium
Human brain
GSM9902432
silver Interactive viewer H&E glioma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'GSM9902432_IDHA13_lowres_image': DataArray[cyx] (3, 600, 567)
├── Shapes
│ └── 'GSM9902432_IDHA13': GeoDataFrame shape: (1181, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1181, 33538)
with coordinate systems:
▸ 'GSM9902432_IDHA13', with elements:
GSM9902432_IDHA13_lowres_image (Images), GSM9902432_IDHA13 (Shapes)
▸ 'GSM9902432_IDHA13_downscaled_hires', with elements:
GSM9902432_IDHA13 (Shapes)
▸ 'GSM9902432_IDHA13_downscaled_lowres', with elements:
GSM9902432_IDHA13_lowres_image (Images), GSM9902432_IDHA13 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("GdXd4OM89XnySx2W") # 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/GdXd4OM89XnySx2W
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid GdXd4OM89XnySx2W Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["GdXd4OM89XnySx2W0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and open Part of collection
Spatial analysis reveals the evolving organization of IDH-mutant glioma→ 12 datasets · other
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- brain
- Condition
- glioma
- Modality
- RNA
- Observations
- 1,181
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 567 × 600 px
- mpp
- 12.402 µm/px
- Size
- 5.3 MB
- Sample ID
- GSM9902432
- License
- unknown
- Published
- Jul 28, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB