Visium
Human prostate gland
INT35
silver Interactive viewer H&E prostate adenocarcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'INT35_full_image': DataTree[cyx] (3, 14902, 14912), (3, 7451, 7456), (3, 3725, 3728), (3, 1862, 1864)
├── Shapes
│ └── 'INT35_spots': GeoDataFrame shape: (3998, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3998, 17943)
with coordinate systems:
▸ 'global', with elements:
INT35_full_image (Images), INT35_spots (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("QHy8lmQhlBe55c99") # 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/QHy8lmQhlBe55c99
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid QHy8lmQhlBe55c99 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["QHy8lmQhlBe55c990000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and open Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- prostate gland
- Condition
- prostate adenocarcinoma
- Modality
- RNA
- Observations
- 3,998
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 14,912 × 14,902 px
- mpp
- 0.615 µm/px
- Size
- 524 MB
- Sample ID
- INT35
- 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