Visium
Human aortic valve leaflet
GSM9759909
bronze Interactive viewer H&E aortic valve stenosis Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9759909_Patient_18V_hires_image': DataArray[cyx] (3, 1987, 2000)
│ └── 'GSM9759909_Patient_18V_lowres_image': DataArray[cyx] (3, 596, 600)
├── Shapes
│ └── 'GSM9759909_Patient_18V': GeoDataFrame shape: (1801, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1801, 36601)
with coordinate systems:
▸ 'GSM9759909_Patient_18V', with elements:
GSM9759909_Patient_18V_hires_image (Images), GSM9759909_Patient_18V_lowres_image (Images), GSM9759909_Patient_18V (Shapes)
▸ 'GSM9759909_Patient_18V_downscaled_hires', with elements:
GSM9759909_Patient_18V_hires_image (Images), GSM9759909_Patient_18V (Shapes)
▸ 'GSM9759909_Patient_18V_downscaled_lowres', with elements:
GSM9759909_Patient_18V_lowres_image (Images), GSM9759909_Patient_18V (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("wgo4AU1UyDiWhf2T0000")
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("wgo4AU1UyDiWhf2T") # 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 wgo4AU1UyDiWhf2T0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/wgo4AU1UyDiWhf2T
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid wgo4AU1UyDiWhf2TLicense: NCBI GEO policy
Part of collection
Spatial transcriptomic profiling of the human aortic valve reveals cellular sex differences near sites of calcification→ 8 datasets · other
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- aortic valve leaflet
- Condition
- aortic valve stenosis
- Modality
- RNA
- Observations (spots)
- 1,801
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 2,000 × 1,987 px
- mpp
- 3.318 µm/px
- Size
- 7.3 MB
- Sample ID
- GSM9759909
- License
- NCBI GEO policy
- Published
- Jun 3, 2026
Cite this dataset
doi.org/10.1161/atvbaha.126.324694 ↗ BibTeX
@article{Baddour_2026,
title = {Spatial and Single-Cell Mapping Reveals Valvular Interstitial Cell and Macrophage Sex Differences in Calcific Aortic Valve Disease},
volume = {46},
ISSN = {1524-4636},
url = {http://dx.doi.org/10.1161/atvbaha.126.324694},
DOI = {10.1161/atvbaha.126.324694},
number = {7},
journal = {Arteriosclerosis, Thrombosis, and Vascular Biology},
publisher = {Ovid Technologies (Wolters Kluwer Health)},
author = {Baddour, Talia and Ninh, Van K. and Gorashi, Rayyan M. and Peña, Rene and King, Kevin R. and Aguado, Brian A.},
year = {2026},
month = July
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB