Visium
Human zone of skin
GSM9769922
silver Interactive viewer H&E Huntington disease No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9769922_HD31HD32spatial_full_image': DataTree[cyx] (4, 3000, 3000), (4, 1500, 1500), (4, 750, 750), (4, 375, 375), (4, 187, 187)
│ ├── 'GSM9769922_HD31HD32spatial_hires_image': DataArray[cyx] (3, 1344, 2000)
│ └── 'GSM9769922_HD31HD32spatial_lowres_image': DataArray[cyx] (3, 403, 600)
├── Shapes
│ └── 'GSM9769922_HD31HD32spatial': GeoDataFrame shape: (3862, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3862, 18085)
with coordinate systems:
▸ 'GSM9769922_HD31HD32spatial', with elements:
GSM9769922_HD31HD32spatial_full_image (Images), GSM9769922_HD31HD32spatial_hires_image (Images), GSM9769922_HD31HD32spatial_lowres_image (Images), GSM9769922_HD31HD32spatial (Shapes)
▸ 'GSM9769922_HD31HD32spatial_downscaled_hires', with elements:
GSM9769922_HD31HD32spatial_hires_image (Images), GSM9769922_HD31HD32spatial (Shapes)
▸ 'GSM9769922_HD31HD32spatial_downscaled_lowres', with elements:
GSM9769922_HD31HD32spatial_lowres_image (Images), GSM9769922_HD31HD32spatial (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("s3THnvRstHtMzvfr") # 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/s3THnvRstHtMzvfr
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid s3THnvRstHtMzvfr Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["s3THnvRstHtMzvfr0000"])[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
- 3,862
- Tier
- silver
- Chemistry
- Visium CytAssist v2
- Resolution
- 2,000 × 1,344 px
- mpp
- 8.432 µm/px
- Size
- 56 MB
- Sample ID
- GSM9769922
- 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