Visium
Human entorhinal cortex
GSM9235054
bronze Interactive viewer H&E Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9235054_V13Y24-343_A1_hires_image': DataArray[cyx] (3, 1817, 2000)
│ └── 'GSM9235054_V13Y24-343_A1_lowres_image': DataArray[cyx] (3, 545, 600)
├── Shapes
│ └── 'GSM9235054_V13Y24-343_A1': GeoDataFrame shape: (4992, 2) (2D shapes)
└── Tables
└── 'table': AnnData (4992, 36601)
with coordinate systems:
▸ 'GSM9235054_V13Y24-343_A1', with elements:
GSM9235054_V13Y24-343_A1_hires_image (Images), GSM9235054_V13Y24-343_A1_lowres_image (Images), GSM9235054_V13Y24-343_A1 (Shapes)
▸ 'GSM9235054_V13Y24-343_A1_downscaled_hires', with elements:
GSM9235054_V13Y24-343_A1_hires_image (Images), GSM9235054_V13Y24-343_A1 (Shapes)
▸ 'GSM9235054_V13Y24-343_A1_downscaled_lowres', with elements:
GSM9235054_V13Y24-343_A1_lowres_image (Images), GSM9235054_V13Y24-343_A1 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("Wn7BH3alormFtuvq") # 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/Wn7BH3alormFtuvq
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Wn7BH3alormFtuvq Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["Wn7BH3alormFtuvq0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatial and single cell transcriptomics in the human Entorhinal Cortex across diverse risk of Alzheimer’s disease [Visium]→ 31 datasets · other
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- entorhinal cortex
- Modality
- RNA
- Observations
- 4,992
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 2,000 × 1,817 px
- mpp
- 4.117 µm/px
- Size
- 34 MB
- Sample ID
- GSM9235054
- License
- unknown
- Published
- Nov 14, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB