Visium HD
Human lymph node
GSM9130429
bronze Interactive viewer H&E follicular lymphoma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'GSM9130429_FL58_full_image': DataTree[cyx] (3, 68096, 98304), (3, 34048, 49152), (3, 17024, 24576), (3, 8512, 12288), (3, 4256, 6144)
├── Shapes
│ ├── 'GSM9130429_FL58_square_008um': GeoDataFrame shape: (625873, 1) (2D shapes)
│ └── 'GSM9130429_FL58_square_008um_for_vitessce': GeoDataFrame shape: (625873, 2) (2D shapes)
└── Tables
└── 'square_008um': AnnData (625873, 18085)
with coordinate systems:
▸ 'GSM9130429_FL58', with elements:
GSM9130429_FL58_full_image (Images), GSM9130429_FL58_square_008um (Shapes), GSM9130429_FL58_square_008um_for_vitessce (Shapes)
▸ 'GSM9130429_FL58_downscaled_hires', with elements:
GSM9130429_FL58_square_008um (Shapes), GSM9130429_FL58_square_008um_for_vitessce (Shapes)
▸ 'GSM9130429_FL58_downscaled_lowres', with elements:
GSM9130429_FL58_square_008um (Shapes), GSM9130429_FL58_square_008um_for_vitessce (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("WwTs4gVyPYZ2yGWC0000")
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("WwTs4gVyPYZ2yGWC") # 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 WwTs4gVyPYZ2yGWC0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/WwTs4gVyPYZ2yGWC
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid WwTs4gVyPYZ2yGWCLicense: NCBI GEO policy
Metadata
- Technology
- Visium HD
- Vendor
- 10x Genomics
- Organism
- human
- Tissue
- lymph node
- Condition
- follicular lymphoma
- Modality
- RNA
- Observations (bins)
- 625,873
- Tier
- bronze
- Magnification
- 40x
- Resolution
- 98,304 × 68,096 px
- mpp
- 0.251 µm/px
- Size
- 14.5 GB
- Sample ID
- GSM9130429
- License
- NCBI GEO policy
- Published
- Aug 4, 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