Visium
Human cerebral cortex
GSM9065766
bronze Interactive viewer H&E isolated focal cortical dysplasia type II Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9065766_D_hires_image': DataArray[cyx] (3, 1497, 2000)
│ └── 'GSM9065766_D_lowres_image': DataArray[cyx] (3, 449, 600)
├── Shapes
│ └── 'GSM9065766_D': GeoDataFrame shape: (4992, 2) (2D shapes)
└── Tables
└── 'table': AnnData (4992, 37082)
with coordinate systems:
▸ 'GSM9065766_D', with elements:
GSM9065766_D_hires_image (Images), GSM9065766_D_lowres_image (Images), GSM9065766_D (Shapes)
▸ 'GSM9065766_D_downscaled_hires', with elements:
GSM9065766_D_hires_image (Images), GSM9065766_D (Shapes)
▸ 'GSM9065766_D_downscaled_lowres', with elements:
GSM9065766_D_lowres_image (Images), GSM9065766_D (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("LTV6Mz2fRMLo1J3J") # 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/LTV6Mz2fRMLo1J3J
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid LTV6Mz2fRMLo1J3J Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["LTV6Mz2fRMLo1J3J0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Dysmorphic neurons express markers of inhibitory glycinergic signaling in focal cortical dysplasia→ 4 datasets · other
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- cerebral cortex
- Condition
- isolated focal cortical dysplasia type II
- Modality
- RNA
- Observations
- 4,992
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 2,000 × 1,497 px
- mpp
- 10.949 µm/px
- Size
- 88 MB
- Sample ID
- GSM9065766
- License
- unknown
- Published
- Aug 19, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB