Visium
Human bone tissue
GSM9030939
bronze Interactive viewer H&E osteosarcoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9030939_PatientB_hires_image': DataArray[cyx] (3, 2000, 1955)
│ └── 'GSM9030939_PatientB_lowres_image': DataArray[cyx] (3, 600, 587)
├── Shapes
│ └── 'GSM9030939_PatientB': GeoDataFrame shape: (3020, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3020, 17943)
with coordinate systems:
▸ 'GSM9030939_PatientB', with elements:
GSM9030939_PatientB_hires_image (Images), GSM9030939_PatientB_lowres_image (Images), GSM9030939_PatientB (Shapes)
▸ 'GSM9030939_PatientB_downscaled_hires', with elements:
GSM9030939_PatientB_hires_image (Images), GSM9030939_PatientB (Shapes)
▸ 'GSM9030939_PatientB_downscaled_lowres', with elements:
GSM9030939_PatientB_lowres_image (Images), GSM9030939_PatientB (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("lPbcDoDKYRZnsc5Y") # 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/lPbcDoDKYRZnsc5Y
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid lPbcDoDKYRZnsc5Y Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["lPbcDoDKYRZnsc5Y0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Immunosuppressive tumor microenvironment of osteosarcoma [Spatial transcriptomics]→ 2 datasets · replicates
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- bone tissue
- Condition
- osteosarcoma
- Modality
- RNA
- Observations
- 3,020
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 1,955 × 2,000 px
- mpp
- 3.449 µm/px
- Size
- 28 MB
- Sample ID
- GSM9030939
- License
- unknown
- Published
- Jul 15, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB