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Visium

Human cornea

GSM9116181

bronze Interactive viewer H&E keratoconus Provisional
Human cornea preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM9116181_D4_hires_image': DataArray[cyx] (3, 1987, 2000)
│     └── 'GSM9116181_D4_lowres_image': DataArray[cyx] (3, 596, 600)
├── Shapes
│     └── 'GSM9116181_D4': GeoDataFrame shape: (1368, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (1368, 36601)
with coordinate systems:
    ▸ 'GSM9116181_D4', with elements:
        GSM9116181_D4_hires_image (Images), GSM9116181_D4_lowres_image (Images), GSM9116181_D4 (Shapes)
    ▸ 'GSM9116181_D4_downscaled_hires', with elements:
        GSM9116181_D4_hires_image (Images), GSM9116181_D4 (Shapes)
    ▸ 'GSM9116181_D4_downscaled_lowres', with elements:
        GSM9116181_D4_lowres_image (Images), GSM9116181_D4 (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("H5z55EWSrUV8YeiR")   # 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/H5z55EWSrUV8YeiR

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid H5z55EWSrUV8YeiR
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["H5z55EWSrUV8YeiR0000"])[0]
ds.elements()                 # inspect without downloading
sdata = ds.load(lazy=False)   # copy to the local cache and open

Docs: finding & loading data →

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Part of collection
Eye-conic' spatial transcriptomics of keratoconus corneas→
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Metadata

Technology
Visium
Organism
human
Tissue
cornea
Condition
keratoconus
Modality
RNA
Observations
1,368
Tier
bronze
Chemistry
Visium v1
Resolution
2,000 × 1,987 px
mpp
3.869 µm/px
Size
8.9 MB
Sample ID
GSM9116181
License
unknown
Published
Apr 3, 2026

Cite this dataset

No linked publication found — please cite the data source: NCBI GEO ↗.

Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB