Visium
Mouse adrenal gland
GSM8659692
bronze Interactive viewer H&E Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8659692_full_image': DataTree[cyx] (3, 3000, 3000), (3, 1500, 1500), (3, 750, 750), (3, 375, 375), (3, 187, 187)
│ ├── 'GSM8659692_hires_image': DataArray[cyx] (3, 1818, 2000)
│ └── 'GSM8659692_lowres_image': DataArray[cyx] (3, 2275, 2500)
├── Shapes
│ └── 'GSM8659692': GeoDataFrame shape: (992, 2) (2D shapes)
└── Tables
└── 'table': AnnData (992, 19465)
with coordinate systems:
▸ 'GSM8659692', with elements:
GSM8659692_full_image (Images), GSM8659692_hires_image (Images), GSM8659692_lowres_image (Images), GSM8659692 (Shapes)
▸ 'GSM8659692_downscaled_hires', with elements:
GSM8659692_hires_image (Images), GSM8659692 (Shapes)
▸ 'GSM8659692_downscaled_lowres', with elements:
GSM8659692_lowres_image (Images), GSM8659692 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("H4oI8Y0jp3pTKUib") # 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/H4oI8Y0jp3pTKUib
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid H4oI8Y0jp3pTKUib Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["H4oI8Y0jp3pTKUib0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- adrenal gland
- Modality
- RNA
- Observations
- 992
- Tier
- bronze
- Chemistry
- Visium CytAssist v2
- Magnification
- 40x
- Resolution
- 3,000 × 3,000 px
- mpp
- 0.197 µm/px
- Size
- 48 MB
- Sample ID
- GSM8659692
- License
- unknown
- Published
- Aug 7, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB