Visium
Human lung
GSM8427434
bronze Interactive viewer H&E lung adenocarcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8427434_LM_SD_5_hires_image': DataArray[cyx] (3, 1866, 2000)
│ └── 'GSM8427434_LM_SD_5_lowres_image': DataArray[cyx] (3, 560, 600)
├── Shapes
│ └── 'GSM8427434_LM_SD_5': GeoDataFrame shape: (3230, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3230, 17943)
with coordinate systems:
▸ 'GSM8427434_LM_SD_5', with elements:
GSM8427434_LM_SD_5_hires_image (Images), GSM8427434_LM_SD_5_lowres_image (Images), GSM8427434_LM_SD_5 (Shapes)
▸ 'GSM8427434_LM_SD_5_downscaled_hires', with elements:
GSM8427434_LM_SD_5_hires_image (Images), GSM8427434_LM_SD_5 (Shapes)
▸ 'GSM8427434_LM_SD_5_downscaled_lowres', with elements:
GSM8427434_LM_SD_5_lowres_image (Images), GSM8427434_LM_SD_5 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("VzxI2Ia2eHukc4zu") # 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 Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/VzxI2Ia2eHukc4zu
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid VzxI2Ia2eHukc4zu Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["VzxI2Ia2eHukc4zu0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Vascular invasion-associated gene expression is detectable in pre-surgical biopsies of stage I lung adenocarcinoma [Spatial Transcriptomics]→ 16 datasets · replicates
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- lung
- Condition
- lung adenocarcinoma
- Modality
- RNA
- Observations
- 3,230
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,866 px
- mpp
- 3.641 µm/px
- Size
- 48 MB
- Sample ID
- GSM8427434
- License
- unknown
- Published
- Jan 26, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB