Visium
Human zone of skin
GSM9769920
silver Interactive viewer H&E Huntington disease No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9769920_SJS33spatial_full_image': DataTree[cyx] (3, 3000, 3000), (3, 1500, 1500), (3, 750, 750), (3, 375, 375), (3, 187, 187)
│ ├── 'GSM9769920_SJS33spatial_hires_image': DataArray[cyx] (3, 1176, 2000)
│ └── 'GSM9769920_SJS33spatial_lowres_image': DataArray[cyx] (3, 353, 600)
├── Shapes
│ └── 'GSM9769920_SJS33spatial': GeoDataFrame shape: (2516, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2516, 18085)
with coordinate systems:
▸ 'GSM9769920_SJS33spatial', with elements:
GSM9769920_SJS33spatial_full_image (Images), GSM9769920_SJS33spatial_hires_image (Images), GSM9769920_SJS33spatial_lowres_image (Images), GSM9769920_SJS33spatial (Shapes)
▸ 'GSM9769920_SJS33spatial_downscaled_hires', with elements:
GSM9769920_SJS33spatial_hires_image (Images), GSM9769920_SJS33spatial (Shapes)
▸ 'GSM9769920_SJS33spatial_downscaled_lowres', with elements:
GSM9769920_SJS33spatial_lowres_image (Images), GSM9769920_SJS33spatial (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("WC4CjjsyXCekv9Z6") # 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/WC4CjjsyXCekv9Z6
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid WC4CjjsyXCekv9Z6 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["WC4CjjsyXCekv9Z60000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Targeting JAK1/3-STAT1 signaling attenuates cytotoxic T lymphocytes activation for the treatment in Stevens-Johnson syndrome and toxic epidermal necrolysis→ 4 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- zone of skin
- Condition
- Huntington disease
- Modality
- RNA
- Observations
- 2,516
- Tier
- silver
- Chemistry
- Visium CytAssist v2
- Resolution
- 3,000 × 3,000 px
- mpp
- 2.624 µm/px
- Size
- 50 MB
- Sample ID
- GSM9769920
- License
- NCBI GEO policy
- Published
- Jun 25, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB