Visium
Mouse heart
GSM6613090
silver Interactive viewer H&E myocardial infarction No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM6613090_V_Human_STEMI_hires_image': DataArray[cyx] (3, 1836, 2000)
│ └── 'GSM6613090_V_Human_STEMI_lowres_image': DataArray[cyx] (3, 551, 600)
├── Shapes
│ └── 'GSM6613090_V_Human_STEMI': GeoDataFrame shape: (1551, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1551, 36601)
with coordinate systems:
▸ 'GSM6613090_V_Human_STEMI', with elements:
GSM6613090_V_Human_STEMI_hires_image (Images), GSM6613090_V_Human_STEMI_lowres_image (Images), GSM6613090_V_Human_STEMI (Shapes)
▸ 'GSM6613090_V_Human_STEMI_downscaled_hires', with elements:
GSM6613090_V_Human_STEMI_hires_image (Images), GSM6613090_V_Human_STEMI (Shapes)
▸ 'GSM6613090_V_Human_STEMI_downscaled_lowres', with elements:
GSM6613090_V_Human_STEMI_lowres_image (Images), GSM6613090_V_Human_STEMI (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("qjnsdpNx0wnSSIwz") # 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/qjnsdpNx0wnSSIwz
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid qjnsdpNx0wnSSIwz Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["qjnsdpNx0wnSSIwz0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Single Cell Spatial Transcriptomics Redefines the Borderzone induced by Myocardial Infarction and Mechanical Injury→ 14 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- heart
- Condition
- myocardial infarction
- Modality
- RNA
- Observations
- 1,551
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,836 px
- mpp
- 3.861 µm/px
- Size
- 10 MB
- Sample ID
- GSM6613090
- License
- unknown
- Published
- Oct 3, 2022
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB