Visium
Human lung
GSM9554209
bronze Interactive viewer H&E non-small cell lung carcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9554209_NSCLC_936_1_hires_image': DataArray[cyx] (3, 2000, 1967)
│ └── 'GSM9554209_NSCLC_936_1_lowres_image': DataArray[cyx] (3, 600, 590)
├── Shapes
│ └── 'GSM9554209_NSCLC_936_1': GeoDataFrame shape: (2894, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2894, 17943)
with coordinate systems:
▸ 'GSM9554209_NSCLC_936_1', with elements:
GSM9554209_NSCLC_936_1_hires_image (Images), GSM9554209_NSCLC_936_1_lowres_image (Images), GSM9554209_NSCLC_936_1 (Shapes)
▸ 'GSM9554209_NSCLC_936_1_downscaled_hires', with elements:
GSM9554209_NSCLC_936_1_hires_image (Images), GSM9554209_NSCLC_936_1 (Shapes)
▸ 'GSM9554209_NSCLC_936_1_downscaled_lowres', with elements:
GSM9554209_NSCLC_936_1_lowres_image (Images), GSM9554209_NSCLC_936_1 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("X2jLVGgAgSmQLvbH0000")
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("X2jLVGgAgSmQLvbH") # 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 X2jLVGgAgSmQLvbH0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/X2jLVGgAgSmQLvbH
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid X2jLVGgAgSmQLvbHLicense: NCBI GEO policy
Part of collection
Dendritic cell-mediated antigen presentation regulates tertiary lymphoid structure development in cancer.→ 7 datasets · replicates
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- lung
- Condition
- non-small cell lung carcinoma
- Modality
- RNA
- Observations (spots)
- 2,894
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 1,967 × 2,000 px
- mpp
- 3.878 µm/px
- Size
- 45.4 MB
- Sample ID
- GSM9554209
- License
- NCBI GEO policy
- Published
- Jul 16, 2026
Cite this dataset
doi.org/10.1126/science.ady1678 ↗ BibTeX
@article{geo:GSM9554209,
doi = {10.1126/science.ady1678},
title = {GSM9554209},
year = {2026}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB