Visium
Mouse thymus
GSM7679868
silver Interactive viewer H&E No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM7679868_LJ184_S_019_hires_image': DataArray[cyx] (3, 2000, 1940)
│ └── 'GSM7679868_LJ184_S_019_lowres_image': DataArray[cyx] (3, 600, 582)
├── Shapes
│ └── 'GSM7679868_LJ184_S_019': GeoDataFrame shape: (1392, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1392, 32285)
with coordinate systems:
▸ 'GSM7679868_LJ184_S_019', with elements:
GSM7679868_LJ184_S_019_hires_image (Images), GSM7679868_LJ184_S_019_lowres_image (Images), GSM7679868_LJ184_S_019 (Shapes)
▸ 'GSM7679868_LJ184_S_019_downscaled_hires', with elements:
GSM7679868_LJ184_S_019_hires_image (Images), GSM7679868_LJ184_S_019 (Shapes)
▸ 'GSM7679868_LJ184_S_019_downscaled_lowres', with elements:
GSM7679868_LJ184_S_019_lowres_image (Images), GSM7679868_LJ184_S_019 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("ny4n35C87ax4xkXW") # 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/ny4n35C87ax4xkXW
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid ny4n35C87ax4xkXW Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["ny4n35C87ax4xkXW0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Age-related epithelial defects limit thymic function and regeneration [visium]→ 2 datasets · time course
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- thymus
- Modality
- RNA
- Observations
- 1,392
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 1,940 × 2,000 px
- mpp
- 3.455 µm/px
- Size
- 12 MB
- Sample ID
- GSM7679868
- License
- unknown
- Published
- Jun 27, 2024
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB