Visium
Mouse brain
GSM9618494
bronze Interactive viewer H&E breast cancer Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9618494_Replicate1_hires_image': DataArray[cyx] (3, 2000, 1594)
│ └── 'GSM9618494_Replicate1_lowres_image': DataArray[cyx] (3, 600, 478)
├── Shapes
│ └── 'GSM9618494_Replicate1': GeoDataFrame shape: (3406, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3406, 19465)
with coordinate systems:
▸ 'GSM9618494_Replicate1', with elements:
GSM9618494_Replicate1_hires_image (Images), GSM9618494_Replicate1_lowres_image (Images), GSM9618494_Replicate1 (Shapes)
▸ 'GSM9618494_Replicate1_downscaled_hires', with elements:
GSM9618494_Replicate1_hires_image (Images), GSM9618494_Replicate1 (Shapes)
▸ 'GSM9618494_Replicate1_downscaled_lowres', with elements:
GSM9618494_Replicate1_lowres_image (Images), GSM9618494_Replicate1 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("k1rlg2YY5069migq") # 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/k1rlg2YY5069migq
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid k1rlg2YY5069migq Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["k1rlg2YY5069migq0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Interleukin-34 induced Arg1+ macrophages play a key role in breast cancer brain metastasis→ 2 datasets · other
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- brain
- Condition
- breast cancer
- Modality
- RNA
- Observations
- 3,406
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 1,594 × 2,000 px
- mpp
- 3.272 µm/px
- Size
- 67 MB
- Sample ID
- GSM9618494
- License
- unknown
- Published
- Apr 23, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB