Visium
Rat heart
GSM9045883
bronze Interactive viewer H&E myocardial infarction Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9045883_8_3_hires_image': DataArray[cyx] (3, 1879, 2000)
│ └── 'GSM9045883_8_3_lowres_image': DataArray[cyx] (3, 564, 600)
├── Shapes
│ └── 'GSM9045883_8_3': GeoDataFrame shape: (4465, 2) (2D shapes)
└── Tables
└── 'table': AnnData (4465, 25399)
with coordinate systems:
▸ 'GSM9045883_8_3', with elements:
GSM9045883_8_3_hires_image (Images), GSM9045883_8_3_lowres_image (Images), GSM9045883_8_3 (Shapes)
▸ 'GSM9045883_8_3_downscaled_hires', with elements:
GSM9045883_8_3_hires_image (Images), GSM9045883_8_3 (Shapes)
▸ 'GSM9045883_8_3_downscaled_lowres', with elements:
GSM9045883_8_3_lowres_image (Images), GSM9045883_8_3 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("uuJD20mnWlZ79ZLU") # 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/uuJD20mnWlZ79ZLU
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid uuJD20mnWlZ79ZLU Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["uuJD20mnWlZ79ZLU0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Infusible Extracellular Matrix Biomaterial Enhances and Expedites Cell-Specific Pro-Repair Following Acute Myocardial Infarction→ 12 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- rat
- Tissue
- heart
- Condition
- myocardial infarction
- Modality
- RNA
- Observations
- 4,465
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 2,000 × 1,879 px
- mpp
- 3.944 µm/px
- Size
- 33 MB
- Sample ID
- GSM9045883
- License
- unknown
- Published
- Nov 30, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB