Visium HD
Human knee
GSM8993724
silver Interactive viewer H&E ✓ Verified publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8993724_hires_image': DataArray[cyx] (3, 6000, 5009)
│ └── 'GSM8993724_lowres_image': DataArray[cyx] (3, 600, 501)
├── Shapes
│ ├── 'GSM8993724_square_016um': GeoDataFrame shape: (88814, 1) (2D shapes)
│ └── 'GSM8993724_square_016um_for_vitessce': GeoDataFrame shape: (88814, 2) (2D shapes)
└── Tables
└── 'square_016um': AnnData (88814, 18085)
with coordinate systems:
▸ 'GSM8993724', with elements:
GSM8993724_hires_image (Images), GSM8993724_lowres_image (Images), GSM8993724_square_016um (Shapes), GSM8993724_square_016um_for_vitessce (Shapes)
▸ 'GSM8993724_downscaled_hires', with elements:
GSM8993724_hires_image (Images), GSM8993724_square_016um (Shapes), GSM8993724_square_016um_for_vitessce (Shapes)
▸ 'GSM8993724_downscaled_lowres', with elements:
GSM8993724_lowres_image (Images), GSM8993724_square_016um (Shapes), GSM8993724_square_016um_for_vitessce (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("lSQ8Kzne2c0iOktx") # 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/lSQ8Kzne2c0iOktx
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid lSQ8Kzne2c0iOktx Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["lSQ8Kzne2c0iOktx0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- Visium HD
- Organism
- human
- Tissue
- knee
- Modality
- RNA
- Observations
- 88,814
- Tier
- silver
- Resolution
- 5,009 × 6,000 px
- mpp
- 1.560 µm/px
- Size
- 311 MB
- Sample ID
- GSM8993724
- License
- unknown
- Published
- Nov 26, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB