Visium
Mouse lung
GSM9191676
bronze Interactive viewer H&E lung adenocarcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9191676_KPU-_hires_image': DataArray[cyx] (3, 1189, 2000)
│ └── 'GSM9191676_KPU-_lowres_image': DataArray[cyx] (3, 357, 600)
├── Shapes
│ └── 'GSM9191676_KPU-': GeoDataFrame shape: (3511, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3511, 19465)
with coordinate systems:
▸ 'GSM9191676_KPU-', with elements:
GSM9191676_KPU-_hires_image (Images), GSM9191676_KPU-_lowres_image (Images), GSM9191676_KPU- (Shapes)
▸ 'GSM9191676_KPU-_downscaled_hires', with elements:
GSM9191676_KPU-_hires_image (Images), GSM9191676_KPU- (Shapes)
▸ 'GSM9191676_KPU-_downscaled_lowres', with elements:
GSM9191676_KPU-_lowres_image (Images), GSM9191676_KPU- (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("U6HZp3LaGMZ4We7Z") # 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/U6HZp3LaGMZ4We7Z
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid U6HZp3LaGMZ4We7Z Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["U6HZp3LaGMZ4We7Z0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Genetic deletion of Usp22 in KRASG12D-p53-null driven mouse lung cancer [Visium]→ 2 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- lung
- Condition
- lung adenocarcinoma
- Modality
- RNA
- Observations
- 3,511
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 2,000 × 1,189 px
- mpp
- 5.974 µm/px
- Size
- 67 MB
- Sample ID
- GSM9191676
- License
- unknown
- Published
- Aug 20, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB