Visium
Human breast
GSM10083696
silver Interactive viewer H&E ductal breast carcinoma in situ No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM10083696_ECIS41T2_hires_image': DataArray[cyx] (3, 1972, 2000)
│ └── 'GSM10083696_ECIS41T2_lowres_image': DataArray[cyx] (3, 592, 600)
├── Shapes
│ └── 'GSM10083696_ECIS41T2': GeoDataFrame shape: (3585, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3585, 36601)
with coordinate systems:
▸ 'GSM10083696_ECIS41T2', with elements:
GSM10083696_ECIS41T2_hires_image (Images), GSM10083696_ECIS41T2_lowres_image (Images), GSM10083696_ECIS41T2 (Shapes)
▸ 'GSM10083696_ECIS41T2_downscaled_hires', with elements:
GSM10083696_ECIS41T2_hires_image (Images), GSM10083696_ECIS41T2 (Shapes)
▸ 'GSM10083696_ECIS41T2_downscaled_lowres', with elements:
GSM10083696_ECIS41T2_lowres_image (Images), GSM10083696_ECIS41T2 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("m4EjQdnqplxNv26j0000")
ds.elements() # inspect without downloading
sdata = ds.to_sdata() # cached locally, reused
print(sdata) Python · lamindb
Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("m4EjQdnqplxNv26j") # stem uid: Lamin resolves it to the 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 Shell
# sddb client: download the .zarr into data/
sddb-cli download m4EjQdnqplxNv26j0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/m4EjQdnqplxNv26j
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid m4EjQdnqplxNv26jLicense: NCBI GEO policy
Part of collection
A single cell and spatial atlas of preinvasive breast cancer [Visium ST]→ 11 datasets · other
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- breast
- Condition
- ductal breast carcinoma in situ
- Modality
- RNA
- Observations (spots)
- 3,585
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,972 px
- mpp
- 3.424 µm/px
- Size
- 27.9 MB
- Sample ID
- GSM10083696
- License
- NCBI GEO policy
- Published
- Sep 29, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB