Visium
Mouse pancreas
GSM8573644
silver Interactive viewer H&E malignant pancreatic neoplasm No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8573644_926895_full_image': DataTree[cyx] (4, 3000, 3000), (4, 1500, 1500), (4, 750, 750), (4, 375, 375), (4, 187, 187)
│ ├── 'GSM8573644_926895_hires_image': DataArray[cyx] (3, 1202, 2000)
│ └── 'GSM8573644_926895_lowres_image': DataArray[cyx] (3, 361, 600)
├── Shapes
│ └── 'GSM8573644_926895': GeoDataFrame shape: (2444, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2444, 19465)
with coordinate systems:
▸ 'GSM8573644_926895', with elements:
GSM8573644_926895_full_image (Images), GSM8573644_926895_hires_image (Images), GSM8573644_926895_lowres_image (Images), GSM8573644_926895 (Shapes)
▸ 'GSM8573644_926895_downscaled_hires', with elements:
GSM8573644_926895_hires_image (Images), GSM8573644_926895 (Shapes)
▸ 'GSM8573644_926895_downscaled_lowres', with elements:
GSM8573644_926895_lowres_image (Images), GSM8573644_926895 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("VqVLYyPM00Z1CLH20000")
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("VqVLYyPM00Z1CLH2") # 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 VqVLYyPM00Z1CLH20000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/VqVLYyPM00Z1CLH2
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid VqVLYyPM00Z1CLH2License: NCBI GEO policy
Part of collection
Mapping the Evolution of Acinar cell derived Pancreatic Preneoplastic Lesions in a Mouse Model: A Detailed Transcriptomic and Pathological Characterization→ 5 datasets · other
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- pancreas
- Condition
- malignant pancreatic neoplasm
- Modality
- RNA
- Observations (spots)
- 2,444
- Tier
- silver
- Chemistry
- Visium CytAssist v2
- Resolution
- 2,000 × 1,202 px
- mpp
- 3.115 µm/px
- Size
- 52.0 MB
- Sample ID
- GSM8573644
- License
- NCBI GEO policy
- Published
- Mar 11, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB