Visium
Mouse brain
GSM8674929
bronze Interactive viewer H&E glioblastoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8674929_CL1_mouse_hires_image': DataArray[cyx] (3, 1997, 2000)
│ └── 'GSM8674929_CL1_mouse_lowres_image': DataArray[cyx] (3, 599, 600)
├── Shapes
│ └── 'GSM8674929_CL1_mouse': GeoDataFrame shape: (2263, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2263, 31253)
with coordinate systems:
▸ 'GSM8674929_CL1_mouse', with elements:
GSM8674929_CL1_mouse_hires_image (Images), GSM8674929_CL1_mouse_lowres_image (Images), GSM8674929_CL1_mouse (Shapes)
▸ 'GSM8674929_CL1_mouse_downscaled_hires', with elements:
GSM8674929_CL1_mouse_hires_image (Images), GSM8674929_CL1_mouse (Shapes)
▸ 'GSM8674929_CL1_mouse_downscaled_lowres', with elements:
GSM8674929_CL1_mouse_lowres_image (Images), GSM8674929_CL1_mouse (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("3V5qY19GFj1XA0wc") # 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/3V5qY19GFj1XA0wc
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 3V5qY19GFj1XA0wc Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["3V5qY19GFj1XA0wc0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatially resolved chimeric analysis reveals extracellular CKB-mediated ATP uptake at the glioma-astrocyte invasive front→ 4 datasets · other
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- brain
- Condition
- glioblastoma
- Modality
- RNA
- Observations
- 2,263
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 2,000 × 1,997 px
- mpp
- 3.263 µm/px
- Size
- 46 MB
- Sample ID
- GSM8674929
- License
- unknown
- Published
- Jun 30, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB