Visium HD
Human right lobe of liver
GSM9324330
silver Interactive viewer H&E liver disorder ✓ Verified publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_hires_image': DataArray[cyx] (3, 3000, 3200)
│ └── 'GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_lowres_image': DataArray[cyx] (3, 563, 600)
├── Shapes
│ ├── 'GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_square_002um': GeoDataFrame shape: (7182157, 1) (2D shapes)
│ ├── 'GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_square_008um': GeoDataFrame shape: (452402, 1) (2D shapes)
│ ├── 'GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_square_016um': GeoDataFrame shape: (114262, 1) (2D shapes)
│ └── 'GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_square_016um_for_vitessce': GeoDataFrame shape: (114262, 2) (2D shapes)
└── Tables
├── 'square_002um': AnnData (7182157, 18085)
├── 'square_008um': AnnData (452402, 18085)
└── 'square_016um': AnnData (114262, 18085)
with coordinate systems:
▸ 'GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix', with elements:
GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_hires_image (Images), GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_lowres_image (Images), GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_square_002um (Shapes), GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_square_008um (Shapes), GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_square_016um (Shapes), GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_square_016um_for_vitessce (Shapes)
▸ 'GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_downscaled_hires', with elements:
GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_hires_image (Images), GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_square_002um (Shapes), GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_square_008um (Shapes), GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_square_016um (Shapes), GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_square_016um_for_vitessce (Shapes)
▸ 'GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_downscaled_lowres', with elements:
GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_lowres_image (Images), GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_square_002um (Shapes), GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_square_008um (Shapes), GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_square_016um (Shapes), GSM9324330_C113_only_binned_outputs_square_002um_filtered_feature_bc_matrix_square_016um_for_vitessce (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("jE9V0TYZpOL7VSIX") # 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/jE9V0TYZpOL7VSIX
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid jE9V0TYZpOL7VSIX Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["jE9V0TYZpOL7VSIX0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
High-resolution spatial transcriptomics of human liver with VisiumHD→ 3 datasets · other
Metadata
- Technology
- Visium HD
- Organism
- human
- Tissue
- right lobe of liver
- Condition
- liver disorder
- Modality
- RNA
- Observations
- 452,402
- Tier
- silver
- Resolution
- 3,200 × 3,000 px
- mpp
- 4.622 µm/px
- Size
- 632 MB
- Sample ID
- GSM9324330
- License
- NCBI GEO policy
- Published
- Apr 17, 2026
Cite this dataset
doi.org/10.1038/s41597-026-07597-2 ↗ BibTeX
@article{Hasan_2026,
title = {High-resolution spatial transcriptomics of adult and pediatric human liver with Visium HD},
ISSN = {2052-4463},
url = {http://dx.doi.org/10.1038/s41597-026-07597-2},
DOI = {10.1038/s41597-026-07597-2},
journal = {Scientific Data},
publisher = {Springer Science and Business Media LLC},
author = {Hasan, Faizan and Edgar, Rachel D. and Atif, Jawairia and Nakib, Diana and Thoeni, Cornelia and Ricciuto, Amanda and Sayed, Blayne A. and McGilvray, Ian and Bader, Gary D. and MacParland, Sonya A.},
year = {2026},
month = June
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB