Visium HD
Human liver
GSM10031013
silver Interactive viewer H&E alcoholic hepatitis No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'GSM10031013_ASH107_square_002um_full_image': DataTree[cyx] (3, 46436, 50061), (3, 23218, 25030), (3, 11609, 12515), (3, 5804, 6257), (3, 2902, 3128)
├── Shapes
│ ├── 'GSM10031013_ASH107_square_002um_square_002um': GeoDataFrame shape: (10031289, 1) (2D shapes)
│ ├── 'GSM10031013_ASH107_square_002um_square_008um': GeoDataFrame shape: (631095, 1) (2D shapes)
│ ├── 'GSM10031013_ASH107_square_002um_square_016um': GeoDataFrame shape: (158916, 1) (2D shapes)
│ └── 'GSM10031013_ASH107_square_002um_square_016um_for_vitessce': GeoDataFrame shape: (158916, 2) (2D shapes)
└── Tables
├── 'square_002um': AnnData (10031289, 18085)
├── 'square_008um': AnnData (631095, 18085)
└── 'square_016um': AnnData (158916, 18085)
with coordinate systems:
▸ 'GSM10031013_ASH107_square_002um', with elements:
GSM10031013_ASH107_square_002um_full_image (Images), GSM10031013_ASH107_square_002um_square_002um (Shapes), GSM10031013_ASH107_square_002um_square_008um (Shapes), GSM10031013_ASH107_square_002um_square_016um (Shapes), GSM10031013_ASH107_square_002um_square_016um_for_vitessce (Shapes)
▸ 'GSM10031013_ASH107_square_002um_downscaled_hires', with elements:
GSM10031013_ASH107_square_002um_square_002um (Shapes), GSM10031013_ASH107_square_002um_square_008um (Shapes), GSM10031013_ASH107_square_002um_square_016um (Shapes), GSM10031013_ASH107_square_002um_square_016um_for_vitessce (Shapes)
▸ 'GSM10031013_ASH107_square_002um_downscaled_lowres', with elements:
GSM10031013_ASH107_square_002um_square_002um (Shapes), GSM10031013_ASH107_square_002um_square_008um (Shapes), GSM10031013_ASH107_square_002um_square_016um (Shapes), GSM10031013_ASH107_square_002um_square_016um_for_vitessce (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("kBM73W1Q61PzJOVb0000")
ds.elements() # inspect without downloading
sdata = ds.to_sdata() # cached locally, reused
print(sdata) 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("kBM73W1Q61PzJOVb") # 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 Shell
# sddb client: download the .zarr into data/
sddb-cli download kBM73W1Q61PzJOVb0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/kBM73W1Q61PzJOVb
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid kBM73W1Q61PzJOVbLicense: NCBI GEO policy
Metadata
- Technology
- Visium HD
- Vendor
- 10x Genomics
- Organism
- human
- Tissue
- liver
- Condition
- alcoholic hepatitis
- Modality
- RNA
- Observations (bins)
- 631,095
- Tier
- silver
- Magnification
- 40x
- Resolution
- 50,061 × 46,436 px
- mpp
- 0.227 µm/px
- Size
- 6.2 GB
- Sample ID
- GSM10031013
- License
- NCBI GEO policy
- Published
- Oct 22, 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