Visium
Mouse brain
GSM8604634
silver Interactive viewer H&E No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8604634_20986X3_images_full_image': DataTree[cyx] (4, 3000, 3000), (4, 1500, 1500), (4, 750, 750), (4, 375, 375), (4, 187, 187)
│ ├── 'GSM8604634_20986X3_images_hires_image': DataArray[cyx] (3, 2000, 1413)
│ └── 'GSM8604634_20986X3_images_lowres_image': DataArray[cyx] (3, 600, 424)
├── Shapes
│ └── 'GSM8604634_20986X3_images': GeoDataFrame shape: (2808, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2808, 19465)
with coordinate systems:
▸ 'GSM8604634_20986X3_images', with elements:
GSM8604634_20986X3_images_full_image (Images), GSM8604634_20986X3_images_hires_image (Images), GSM8604634_20986X3_images_lowres_image (Images), GSM8604634_20986X3_images (Shapes)
▸ 'GSM8604634_20986X3_images_downscaled_hires', with elements:
GSM8604634_20986X3_images_hires_image (Images), GSM8604634_20986X3_images (Shapes)
▸ 'GSM8604634_20986X3_images_downscaled_lowres', with elements:
GSM8604634_20986X3_images_lowres_image (Images), GSM8604634_20986X3_images (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("cKuvsUoeHQ9OAjqA0000")
ds.elements() # inspect without downloading
sdata = ds.to_sdata() # cached locally, reused
print(sdata) Python · lamindb
Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("cKuvsUoeHQ9OAjqA") # stem uid: Lamin resolves it to the 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 Shell
# sddb client: download the .zarr into data/
sddb-cli download cKuvsUoeHQ9OAjqA0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/cKuvsUoeHQ9OAjqA
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid cKuvsUoeHQ9OAjqALicense: NCBI GEO policy
Part of collection
Spatial component of: CELSR3 deficiency leads to tic-related behaviors and dopaminergic alterations in the striatum→ 4 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- brain
- Modality
- RNA
- Observations (spots)
- 2,808
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 1,413 × 2,000 px
- mpp
- 5.303 µm/px
- Size
- 98.8 MB
- Sample ID
- GSM8604634
- License
- NCBI GEO policy
- Published
- Jun 12, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB