Visium
Mouse colon
GSM6210023
bronze Interactive viewer H&E colorectal carcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM6210023_D15_PBS_Visium_hires_image': DataArray[cyx] (3, 2000, 1900)
│ └── 'GSM6210023_D15_PBS_Visium_lowres_image': DataArray[cyx] (3, 600, 570)
├── Shapes
│ └── 'GSM6210023_D15_PBS_Visium': GeoDataFrame shape: (2221, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2221, 32285)
with coordinate systems:
▸ 'GSM6210023_D15_PBS_Visium', with elements:
GSM6210023_D15_PBS_Visium_hires_image (Images), GSM6210023_D15_PBS_Visium_lowres_image (Images), GSM6210023_D15_PBS_Visium (Shapes)
▸ 'GSM6210023_D15_PBS_Visium_downscaled_hires', with elements:
GSM6210023_D15_PBS_Visium_hires_image (Images), GSM6210023_D15_PBS_Visium (Shapes)
▸ 'GSM6210023_D15_PBS_Visium_downscaled_lowres', with elements:
GSM6210023_D15_PBS_Visium_lowres_image (Images), GSM6210023_D15_PBS_Visium (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("d8EojjWNuiKOfwXi") # 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/d8EojjWNuiKOfwXi
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid d8EojjWNuiKOfwXi Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["d8EojjWNuiKOfwXi0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and open Part of collection
Interleukin 7 therapy changes tumor immune environment to pro-inflammatory through myeloid and T cell interactions [Visium]→ 2 datasets · other
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- colon
- Condition
- colorectal carcinoma
- Modality
- RNA
- Observations
- 2,221
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 1,900 × 2,000 px
- mpp
- 3.515 µm/px
- Size
- 33 MB
- Sample ID
- GSM6210023
- License
- unknown
- Published
- Mar 5, 2024
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB