Visium HD
Human unknown
GSM9532661
silver Interactive viewer H&E melanoma No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9532661_WU2109_HD_016um_hires_image': DataArray[cyx] (3, 3000, 3200)
│ └── 'GSM9532661_WU2109_HD_016um_lowres_image': DataArray[cyx] (3, 563, 600)
├── Shapes
│ ├── 'GSM9532661_WU2109_HD_016um_square_016um': GeoDataFrame shape: (175561, 1) (2D shapes)
│ └── 'GSM9532661_WU2109_HD_016um_square_016um_for_vitessce': GeoDataFrame shape: (175561, 2) (2D shapes)
└── Tables
└── 'square_016um': AnnData (175561, 18085)
with coordinate systems:
▸ 'GSM9532661_WU2109_HD_016um', with elements:
GSM9532661_WU2109_HD_016um_hires_image (Images), GSM9532661_WU2109_HD_016um_lowres_image (Images), GSM9532661_WU2109_HD_016um_square_016um (Shapes), GSM9532661_WU2109_HD_016um_square_016um_for_vitessce (Shapes)
▸ 'GSM9532661_WU2109_HD_016um_downscaled_hires', with elements:
GSM9532661_WU2109_HD_016um_hires_image (Images), GSM9532661_WU2109_HD_016um_square_016um (Shapes), GSM9532661_WU2109_HD_016um_square_016um_for_vitessce (Shapes)
▸ 'GSM9532661_WU2109_HD_016um_downscaled_lowres', with elements:
GSM9532661_WU2109_HD_016um_lowres_image (Images), GSM9532661_WU2109_HD_016um_square_016um (Shapes), GSM9532661_WU2109_HD_016um_square_016um_for_vitessce (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("KqKOXx9kNEtXkDRH0000")
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("KqKOXx9kNEtXkDRH") # 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 KqKOXx9kNEtXkDRH0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/KqKOXx9kNEtXkDRH
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid KqKOXx9kNEtXkDRHLicense: NCBI GEO policy
Part of collection
High-resolution and noninvasive profiling of the tumor microenvironment with spatial ecotypes [Visium]→ 2 datasets · replicates
Metadata
- Technology
- Visium HD
- Organism
- human
- Tissue
- unknown
- Condition
- melanoma
- Modality
- RNA
- Observations (bins)
- 175,561
- Tier
- silver
- Resolution
- 3,200 × 3,000 px
- mpp
- 4.634 µm/px
- Size
- 767 MB
- Sample ID
- GSM9532661
- License
- NCBI GEO policy
- Published
- May 7, 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