Visium
Human prostate gland
INT26
silver Interactive viewer H&E prostate adenocarcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'INT26_full_image': DataTree[cyx] (3, 13760, 13840), (3, 6880, 6920), (3, 3440, 3460), (3, 1720, 1730)
├── Shapes
│ └── 'INT26_spots': GeoDataFrame shape: (3894, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3894, 17943)
with coordinate systems:
▸ 'global', with elements:
INT26_full_image (Images), INT26_spots (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("0qwmcdtwdjnk281Q") # 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/0qwmcdtwdjnk281Q
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 0qwmcdtwdjnk281Q Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["0qwmcdtwdjnk281Q0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- Visium
- Organism
- human
- Tissue
- prostate gland
- Condition
- prostate adenocarcinoma
- Modality
- RNA
- Observations
- 3,894
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 13,840 × 13,760 px
- mpp
- 0.615 µm/px
- Size
- 508 MB
- Sample ID
- INT26
- License
- CC BY-NC-SA 4.0 NonCommercial
Cite this dataset
No linked publication found — please cite the data source.
License: CC BY-NC-SA 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB