Visium
Mouse colon
GSM8429993
bronze Interactive viewer H&E colorectal carcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8429993_SC2200583_hires_image': DataArray[cyx] (3, 2000, 1969)
│ └── 'GSM8429993_SC2200583_lowres_image': DataArray[cyx] (3, 600, 591)
├── Shapes
│ └── 'GSM8429993_SC2200583': GeoDataFrame shape: (3174, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3174, 32285)
with coordinate systems:
▸ 'GSM8429993_SC2200583', with elements:
GSM8429993_SC2200583_hires_image (Images), GSM8429993_SC2200583_lowres_image (Images), GSM8429993_SC2200583 (Shapes)
▸ 'GSM8429993_SC2200583_downscaled_hires', with elements:
GSM8429993_SC2200583_hires_image (Images), GSM8429993_SC2200583 (Shapes)
▸ 'GSM8429993_SC2200583_downscaled_lowres', with elements:
GSM8429993_SC2200583_lowres_image (Images), GSM8429993_SC2200583 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("QWftVQh78hio3Vqa") # 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/QWftVQh78hio3Vqa
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid QWftVQh78hio3Vqa Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["QWftVQh78hio3Vqa0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Mapping the genetic landscape establishing a tumor immune microenvironment favorable for anti-PD-1 response in mice and humans (Visium).→ 4 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- colon
- Condition
- colorectal carcinoma
- Modality
- RNA
- Observations
- 3,174
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 1,969 × 2,000 px
- mpp
- 3.461 µm/px
- Size
- 69 MB
- Sample ID
- GSM8429993
- License
- unknown
- Published
- May 4, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB