Visium
Human bone tissue
GSM9011364
bronze Interactive viewer H&E estrogen-receptor positive breast cancer Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9011364_Bone_6815_hires_image': DataArray[cyx] (3, 2000, 1539)
│ └── 'GSM9011364_Bone_6815_lowres_image': DataArray[cyx] (3, 600, 462)
├── Shapes
│ └── 'GSM9011364_Bone_6815': GeoDataFrame shape: (1703, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1703, 18085)
with coordinate systems:
▸ 'GSM9011364_Bone_6815', with elements:
GSM9011364_Bone_6815_hires_image (Images), GSM9011364_Bone_6815_lowres_image (Images), GSM9011364_Bone_6815 (Shapes)
▸ 'GSM9011364_Bone_6815_downscaled_hires', with elements:
GSM9011364_Bone_6815_hires_image (Images), GSM9011364_Bone_6815 (Shapes)
▸ 'GSM9011364_Bone_6815_downscaled_lowres', with elements:
GSM9011364_Bone_6815_lowres_image (Images), GSM9011364_Bone_6815 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("YtnZnbZ7pTt4B1te") # 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/YtnZnbZ7pTt4B1te
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid YtnZnbZ7pTt4B1te Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["YtnZnbZ7pTt4B1te0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
In silico reconstruction of primary and metastatic tumor architecture using GIS-augmented spatial transcriptomics→ 12 datasets · other
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- bone tissue
- Condition
- estrogen-receptor positive breast cancer
- Modality
- RNA
- Observations
- 1,703
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 1,539 × 2,000 px
- mpp
- 3.450 µm/px
- Size
- 35 MB
- Sample ID
- GSM9011364
- License
- unknown
- Published
- Feb 17, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB