Visium
Human liver
GSM8155174
bronze Interactive viewer H&E hepatoblastoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8155174_H387_hires_image': DataArray[cyx] (3, 1868, 2000)
│ └── 'GSM8155174_H387_lowres_image': DataArray[cyx] (3, 561, 600)
├── Shapes
│ └── 'GSM8155174_H387': GeoDataFrame shape: (3679, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3679, 17943)
with coordinate systems:
▸ 'GSM8155174_H387', with elements:
GSM8155174_H387_hires_image (Images), GSM8155174_H387_lowres_image (Images), GSM8155174_H387 (Shapes)
▸ 'GSM8155174_H387_downscaled_hires', with elements:
GSM8155174_H387_hires_image (Images), GSM8155174_H387 (Shapes)
▸ 'GSM8155174_H387_downscaled_lowres', with elements:
GSM8155174_H387_lowres_image (Images), GSM8155174_H387 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("TXWzx3d07rvtMTar") # 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/TXWzx3d07rvtMTar
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid TXWzx3d07rvtMTar Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["TXWzx3d07rvtMTar0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Multiomic analysis uncovers a continuous spectrum of differentiation and Wnt-MDK-driven immune evasion in hepatoblastoma [Spatial Transcriptomics]→ 22 datasets · other
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- liver
- Condition
- hepatoblastoma
- Modality
- RNA
- Observations
- 3,679
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,868 px
- mpp
- 3.679 µm/px
- Size
- 65 MB
- Sample ID
- GSM8155174
- License
- unknown
- Published
- Feb 7, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB