Visium
Human liver
GSE278621
bronze Interactive viewer H&E metabolic dysfunction-associated steatotic liver disease Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8551438_RGL25a_hires_image': DataArray[cyx] (3, 1817, 2000)
│ └── 'GSM8551438_RGL25a_lowres_image': DataArray[cyx] (3, 545, 600)
├── Shapes
│ └── 'GSM8551438_RGL25a': GeoDataFrame shape: (3738, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3738, 17943)
with coordinate systems:
▸ 'GSM8551438_RGL25a', with elements:
GSM8551438_RGL25a_hires_image (Images), GSM8551438_RGL25a_lowres_image (Images), GSM8551438_RGL25a (Shapes)
▸ 'GSM8551438_RGL25a_downscaled_hires', with elements:
GSM8551438_RGL25a_hires_image (Images), GSM8551438_RGL25a (Shapes)
▸ 'GSM8551438_RGL25a_downscaled_lowres', with elements:
GSM8551438_RGL25a_lowres_image (Images), GSM8551438_RGL25a (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("24sINQJLEWgPMwtD0000")
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("24sINQJLEWgPMwtD") # 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 24sINQJLEWgPMwtD0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/24sINQJLEWgPMwtD
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 24sINQJLEWgPMwtDLicense: NCBI GEO policy
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- liver
- Condition
- metabolic dysfunction-associated steatotic liver disease
- Modality
- RNA
- Observations (spots)
- 3,738
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,817 px
- mpp
- 4.050 µm/px
- Size
- 15.5 MB
- Sample ID
- GSE278621
- License
- NCBI GEO policy
- Published
- Jul 22, 2026
Cite this dataset
doi.org/10.1093/gigascience/giag074 ↗ BibTeX
@article{geo:GSE278621,
doi = {10.1093/gigascience/giag074},
title = {GSE278621},
year = {2026}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB