Visium
Mouse pancreas
GSM8573641
silver Interactive viewer H&E malignant pancreatic neoplasm No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8573641_926983_full_image': DataTree[cyx] (4, 3000, 3000), (4, 1500, 1500), (4, 750, 750), (4, 375, 375), (4, 187, 187)
│ ├── 'GSM8573641_926983_hires_image': DataArray[cyx] (3, 1897, 2000)
│ └── 'GSM8573641_926983_lowres_image': DataArray[cyx] (3, 569, 600)
├── Shapes
│ └── 'GSM8573641_926983': GeoDataFrame shape: (2971, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2971, 19465)
with coordinate systems:
▸ 'GSM8573641_926983', with elements:
GSM8573641_926983_full_image (Images), GSM8573641_926983_hires_image (Images), GSM8573641_926983_lowres_image (Images), GSM8573641_926983 (Shapes)
▸ 'GSM8573641_926983_downscaled_hires', with elements:
GSM8573641_926983_hires_image (Images), GSM8573641_926983 (Shapes)
▸ 'GSM8573641_926983_downscaled_lowres', with elements:
GSM8573641_926983_lowres_image (Images), GSM8573641_926983 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("lrF9EiXnFP0fXWhK0000")
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("lrF9EiXnFP0fXWhK") # 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 lrF9EiXnFP0fXWhK0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/lrF9EiXnFP0fXWhK
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid lrF9EiXnFP0fXWhKLicense: 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)
- 2,971
- Tier
- silver
- Chemistry
- Visium CytAssist v2
- Resolution
- 2,000 × 1,897 px
- mpp
- 3.495 µm/px
- Size
- 76.8 MB
- Sample ID
- GSM8573641
- 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