Visium
Mouse colon
GSM8694502
bronze Interactive viewer H&E colorectal cancer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'GSM8694502_MC38_aPD1_NR_m10_hires_image': DataArray[cyx] (3, 2000, 2000)
├── Shapes
│ └── 'GSM8694502_MC38_aPD1_NR_m10': GeoDataFrame shape: (3484, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3484, 20551)
with coordinate systems:
▸ 'GSM8694502_MC38_aPD1_NR_m10', with elements:
GSM8694502_MC38_aPD1_NR_m10_hires_image (Images), GSM8694502_MC38_aPD1_NR_m10 (Shapes)
▸ 'GSM8694502_MC38_aPD1_NR_m10_downscaled_hires', with elements:
GSM8694502_MC38_aPD1_NR_m10_hires_image (Images), GSM8694502_MC38_aPD1_NR_m10 (Shapes)
▸ 'GSM8694502_MC38_aPD1_NR_m10_downscaled_lowres', with elements:
GSM8694502_MC38_aPD1_NR_m10 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("IPw8LcjB9JEIlVSA") # 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/IPw8LcjB9JEIlVSA
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid IPw8LcjB9JEIlVSA Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["IPw8LcjB9JEIlVSA0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatial genomics reveals cholesterol metabolism as a key factor in immunotherapy resistance in colorectal cancer [Visium]→ 22 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- colon
- Condition
- colorectal cancer
- Modality
- RNA
- Observations
- 3,484
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 2,000 × 2,000 px
- mpp
- 3.413 µm/px
- Size
- 55 MB
- Sample ID
- GSM8694502
- License
- unknown
- Published
- Mar 10, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB