Visium

Mouse brain

GSM9367523

bronze Interactive viewer H&E traumatic brain injury Provisional

Preview Client Lamin CLI

print(sdata)

SpatialData object
├── Images
│     ├── 'GSM9367523_L0-29203_hires_image': DataArray[cyx] (3, 2000, 1984)
│     └── 'GSM9367523_L0-29203_lowres_image': DataArray[cyx] (3, 600, 595)
├── Shapes
│     └── 'GSM9367523_L0-29203': GeoDataFrame shape: (2288, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (2288, 32285)
with coordinate systems:
    ▸ 'GSM9367523_L0-29203', with elements:
        GSM9367523_L0-29203_hires_image (Images), GSM9367523_L0-29203_lowres_image (Images), GSM9367523_L0-29203 (Shapes)
    ▸ 'GSM9367523_L0-29203_downscaled_hires', with elements:
        GSM9367523_L0-29203_hires_image (Images), GSM9367523_L0-29203 (Shapes)
    ▸ 'GSM9367523_L0-29203_downscaled_lowres', with elements:
        GSM9367523_L0-29203_lowres_image (Images), GSM9367523_L0-29203 (Shapes)

Install (Python 3.12+) Docs →

Python · sddb client

from sddb import Catalog

ds = Catalog().dataset("SS25GgpdAl1NKX5W0000")
ds.elements()          # inspect without downloading
sdata = ds.to_sdata()  # cached locally, reused
print(sdata)

Install (Python 3.12+) Docs →

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("SS25GgpdAl1NKX5W")   # 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

Install (Python 3.12+) Docs →

Shell

# sddb client: download the .zarr into data/
sddb-cli download SS25GgpdAl1NKX5W0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/SS25GgpdAl1NKX5W

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid SS25GgpdAl1NKX5W

Install (Python 3.12+) Docs →

License: NCBI GEO policy

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Part of collection

Adult Mouse Controlled Cortical Impact Visium Spatial Transcriptomics→

34 datasets · time course

Metadata

Technology: Visium
Organism: mouse
Tissue: brain
Condition: traumatic brain injury
Modality: RNA
Observations (spots): 2,288
Tier: bronze
Chemistry: Visium v1
Resolution: 1,984 × 2,000 px
mpp: 3.531 µm/px
Size: 42.9 MB
Sample ID: GSM9367523
License: NCBI GEO policy
Published: Dec 17, 2025

Cite this dataset

doi.org/10.1177/08977151251390528 ↗

BibTeX

@article{geo:GSM9367523,
  doi = {10.1177/08977151251390528},
  title = {GSM9367523},
  year = {2026}
}

Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB