Visium
Mouse brain
GSM9377356
bronze H&E Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9377356_Slide-4_V14B09-293B1_hires_image': DataArray[cyx] (3, 1919, 2000)
│ └── 'GSM9377356_Slide-4_V14B09-293B1_lowres_image': DataArray[cyx] (3, 576, 600)
├── Shapes
│ └── 'GSM9377356_Slide-4_V14B09-293B1': GeoDataFrame shape: (3663, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3663, 33696)
with coordinate systems:
▸ 'GSM9377356_Slide-4_V14B09-293B1', with elements:
GSM9377356_Slide-4_V14B09-293B1_hires_image (Images), GSM9377356_Slide-4_V14B09-293B1_lowres_image (Images), GSM9377356_Slide-4_V14B09-293B1 (Shapes)
▸ 'GSM9377356_Slide-4_V14B09-293B1_downscaled_hires', with elements:
GSM9377356_Slide-4_V14B09-293B1_hires_image (Images), GSM9377356_Slide-4_V14B09-293B1 (Shapes)
▸ 'GSM9377356_Slide-4_V14B09-293B1_downscaled_lowres', with elements:
GSM9377356_Slide-4_V14B09-293B1_lowres_image (Images), GSM9377356_Slide-4_V14B09-293B1 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("oxglrC7nuEwzsgpi") # 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/oxglrC7nuEwzsgpi
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid oxglrC7nuEwzsgpi Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["oxglrC7nuEwzsgpi0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
The spatiotemporal dynamics of postnatal vascularization in the mouse brain→ 46 datasets · time course
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- brain
- Modality
- RNA
- Observations
- 3,663
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,919 px
- mpp
- 3.809 µm/px
- Size
- 50 MB
- Sample ID
- GSM9377356
- License
- unknown
- Published
- Mar 27, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB