Visium

Human zone of skin

GSM9769922

silver Interactive viewer H&E Huntington disease No linked publication

Preview Client Lamin CLI

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)

Install (Python 3.12+) Docs →

Python · sddb client

from sddb import Catalog

ds = Catalog().dataset("s3THnvRstHtMzvfr0000")
ds.elements()          # inspect without downloading
sdata = ds.to_sdata()  # cached locally, reused
print(sdata)

Install (Python 3.12+) Docs →

Python · lamindb

Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.

import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("s3THnvRstHtMzvfr")   # stem uid: Lamin resolves it to the 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

Install (Python 3.12+) Docs →

Shell

# sddb client: download the .zarr into data/
sddb-cli download s3THnvRstHtMzvfr0000 --dest data/

# or lamin: 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

Install (Python 3.12+) Docs →

License: NCBI GEO policy

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Part 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 (spots): 3,862
Tier: silver
Chemistry: Visium CytAssist v2
Resolution: 2,000 × 1,344 px
mpp: 8.432 µm/px
Size: 59.0 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