Visium HD
Human liver
GSM9521683
bronze Interactive viewer H&E Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9521683_Arc-Liver-D1_002um_cytassist_image': DataArray[cyx] (3, 2999, 3201)
│ ├── 'GSM9521683_Arc-Liver-D1_002um_hires_image': DataArray[cyx] (3, 6000, 5302)
│ └── 'GSM9521683_Arc-Liver-D1_002um_lowres_image': DataArray[cyx] (3, 600, 530)
├── Shapes
│ ├── 'GSM9521683_Arc-Liver-D1_002um_square_002um': GeoDataFrame shape: (5244110, 1) (2D shapes)
│ ├── 'GSM9521683_Arc-Liver-D1_002um_square_008um': GeoDataFrame shape: (333667, 1) (2D shapes)
│ ├── 'GSM9521683_Arc-Liver-D1_002um_square_016um': GeoDataFrame shape: (85292, 1) (2D shapes)
│ └── 'GSM9521683_Arc-Liver-D1_002um_square_016um_for_vitessce': GeoDataFrame shape: (85292, 2) (2D shapes)
└── Tables
├── 'square_002um': AnnData (5244110, 18132)
├── 'square_008um': AnnData (333667, 18132)
└── 'square_016um': AnnData (85292, 18132)
with coordinate systems:
▸ 'GSM9521683_Arc-Liver-D1_002um', with elements:
GSM9521683_Arc-Liver-D1_002um_cytassist_image (Images), GSM9521683_Arc-Liver-D1_002um_hires_image (Images), GSM9521683_Arc-Liver-D1_002um_lowres_image (Images), GSM9521683_Arc-Liver-D1_002um_square_002um (Shapes), GSM9521683_Arc-Liver-D1_002um_square_008um (Shapes), GSM9521683_Arc-Liver-D1_002um_square_016um (Shapes), GSM9521683_Arc-Liver-D1_002um_square_016um_for_vitessce (Shapes)
▸ 'GSM9521683_Arc-Liver-D1_002um_downscaled_hires', with elements:
GSM9521683_Arc-Liver-D1_002um_hires_image (Images), GSM9521683_Arc-Liver-D1_002um_square_002um (Shapes), GSM9521683_Arc-Liver-D1_002um_square_008um (Shapes), GSM9521683_Arc-Liver-D1_002um_square_016um (Shapes), GSM9521683_Arc-Liver-D1_002um_square_016um_for_vitessce (Shapes)
▸ 'GSM9521683_Arc-Liver-D1_002um_downscaled_lowres', with elements:
GSM9521683_Arc-Liver-D1_002um_lowres_image (Images), GSM9521683_Arc-Liver-D1_002um_square_002um (Shapes), GSM9521683_Arc-Liver-D1_002um_square_008um (Shapes), GSM9521683_Arc-Liver-D1_002um_square_016um (Shapes), GSM9521683_Arc-Liver-D1_002um_square_016um_for_vitessce (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("J1Dr8zbHMubB6OzG") # 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/J1Dr8zbHMubB6OzG
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid J1Dr8zbHMubB6OzG Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["J1Dr8zbHMubB6OzG0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Inference of cell-cell communication in human fetal liver from high definition spatial profiling using Renoir→ 2 datasets · publication
Metadata
- Technology
- Visium HD
- Organism
- human
- Tissue
- liver
- Modality
- RNA
- Observations
- 333,667
- Tier
- bronze
- Resolution
- 5,302 × 6,000 px
- mpp
- 2.293 µm/px
- Size
- 641 MB
- Sample ID
- GSM9521683
- License
- unknown
- Published
- Mar 24, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB