Visium
Mouse lung
GSM9497186
bronze Interactive viewer H&E breast carcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9497186_PAN5774A3_hires_image': DataArray[cyx] (3, 1967, 2000)
│ └── 'GSM9497186_PAN5774A3_lowres_image': DataArray[cyx] (3, 590, 600)
├── Shapes
│ └── 'GSM9497186_PAN5774A3': GeoDataFrame shape: (1888, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1888, 32285)
with coordinate systems:
▸ 'GSM9497186_PAN5774A3', with elements:
GSM9497186_PAN5774A3_hires_image (Images), GSM9497186_PAN5774A3_lowres_image (Images), GSM9497186_PAN5774A3 (Shapes)
▸ 'GSM9497186_PAN5774A3_downscaled_hires', with elements:
GSM9497186_PAN5774A3_hires_image (Images), GSM9497186_PAN5774A3 (Shapes)
▸ 'GSM9497186_PAN5774A3_downscaled_lowres', with elements:
GSM9497186_PAN5774A3_lowres_image (Images), GSM9497186_PAN5774A3 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("cxAcYYGpBnrZffPu0000")
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("cxAcYYGpBnrZffPu") # 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 cxAcYYGpBnrZffPu0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/cxAcYYGpBnrZffPu
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid cxAcYYGpBnrZffPuLicense: NCBI GEO policy
Part of collection
Targeting the lipid metabolism proteins FASN and GPAM in alveolar type II cells decreases lung metastasis→ 2 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- lung
- Condition
- breast carcinoma
- Modality
- RNA
- Observations (spots)
- 1,888
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,967 px
- mpp
- 3.366 µm/px
- Size
- 29.5 MB
- Sample ID
- GSM9497186
- License
- NCBI GEO policy
- Published
- Feb 10, 2026
Cite this dataset
doi.org/10.1158/2159-8290.CD-25-0191 ↗ BibTeX
@article{geo:GSM9497186,
doi = {10.1158/2159-8290.CD-25-0191},
title = {GSM9497186},
year = {2026}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB