Visium
Mouse gastrocnemius
GSM8989876
bronze Interactive viewer H&E Duchenne muscular dystrophy Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8989876_D_S4_hires_image': DataArray[cyx] (3, 1684, 2000)
│ └── 'GSM8989876_D_S4_lowres_image': DataArray[cyx] (3, 505, 600)
├── Shapes
│ └── 'GSM8989876_D_S4': GeoDataFrame shape: (4986, 2) (2D shapes)
└── Tables
└── 'table': AnnData (4986, 32285)
with coordinate systems:
▸ 'GSM8989876_D_S4', with elements:
GSM8989876_D_S4_hires_image (Images), GSM8989876_D_S4_lowres_image (Images), GSM8989876_D_S4 (Shapes)
▸ 'GSM8989876_D_S4_downscaled_hires', with elements:
GSM8989876_D_S4_hires_image (Images), GSM8989876_D_S4 (Shapes)
▸ 'GSM8989876_D_S4_downscaled_lowres', with elements:
GSM8989876_D_S4_lowres_image (Images), GSM8989876_D_S4 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("mmZbdvH4gcP35XWn") # 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/mmZbdvH4gcP35XWn
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid mmZbdvH4gcP35XWn Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["mmZbdvH4gcP35XWn0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatial transcriptomics and scRNA-sequencing on gastrocnemius muscle form B6-mdx and D2-mdx mice→ 4 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- gastrocnemius
- Condition
- Duchenne muscular dystrophy
- Modality
- RNA
- Observations
- 4,986
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,684 px
- mpp
- 4.350 µm/px
- Size
- 5.0 MB
- Sample ID
- GSM8989876
- License
- unknown
- Published
- Jul 1, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB