Visium
Mouse mediastinal lymph node
GSM7836926
bronze Interactive viewer H&E Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM7836926_LND3-3_hires_image': DataArray[cyx] (3, 1961, 2000)
│ └── 'GSM7836926_LND3-3_lowres_image': DataArray[cyx] (3, 588, 600)
├── Shapes
│ └── 'GSM7836926_LND3-3': GeoDataFrame shape: (582, 2) (2D shapes)
└── Tables
└── 'table': AnnData (582, 32285)
with coordinate systems:
▸ 'GSM7836926_LND3-3', with elements:
GSM7836926_LND3-3_hires_image (Images), GSM7836926_LND3-3_lowres_image (Images), GSM7836926_LND3-3 (Shapes)
▸ 'GSM7836926_LND3-3_downscaled_hires', with elements:
GSM7836926_LND3-3_hires_image (Images), GSM7836926_LND3-3 (Shapes)
▸ 'GSM7836926_LND3-3_downscaled_lowres', with elements:
GSM7836926_LND3-3_lowres_image (Images), GSM7836926_LND3-3 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("myEU3s99wjOoSpcZ") # 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/myEU3s99wjOoSpcZ
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid myEU3s99wjOoSpcZ Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["myEU3s99wjOoSpcZ0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatial microniches of IL-2 synergize with IL-10 to drive lung migratory Th2 cells in response to inhaled allergen [Spatial transcriptomics]→ 4 datasets · time course
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- mediastinal lymph node
- Modality
- RNA
- Observations
- 582
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 2,000 × 1,961 px
- mpp
- 3.766 µm/px
- Size
- 7.9 MB
- Sample ID
- GSM7836926
- License
- unknown
- Published
- Feb 20, 2024
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB