Visium
Human kidney
GSM9231922
bronze Interactive viewer H&E diabetic kidney disease Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9231922_V42D20-364_XY01_IU103_hires_image': DataArray[cyx] (3, 1723, 2000)
│ └── 'GSM9231922_V42D20-364_XY01_IU103_lowres_image': DataArray[cyx] (3, 517, 600)
├── Shapes
│ └── 'GSM9231922_V42D20-364_XY01_IU103': GeoDataFrame shape: (1203, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1203, 18085)
with coordinate systems:
▸ 'GSM9231922_V42D20-364_XY01_IU103', with elements:
GSM9231922_V42D20-364_XY01_IU103_hires_image (Images), GSM9231922_V42D20-364_XY01_IU103_lowres_image (Images), GSM9231922_V42D20-364_XY01_IU103 (Shapes)
▸ 'GSM9231922_V42D20-364_XY01_IU103_downscaled_hires', with elements:
GSM9231922_V42D20-364_XY01_IU103_hires_image (Images), GSM9231922_V42D20-364_XY01_IU103 (Shapes)
▸ 'GSM9231922_V42D20-364_XY01_IU103_downscaled_lowres', with elements:
GSM9231922_V42D20-364_XY01_IU103_lowres_image (Images), GSM9231922_V42D20-364_XY01_IU103 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("mAkdMul6VD22BZKn") # 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/mAkdMul6VD22BZKn
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid mAkdMul6VD22BZKn Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["mAkdMul6VD22BZKn0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
A MEF2C transcription factor network regulates proliferation of glomerular endothelial cells in diabetic kidney disease→ 12 datasets · other
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- kidney
- Condition
- diabetic kidney disease
- Modality
- RNA
- Observations
- 1,203
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,723 px
- mpp
- 2.679 µm/px
- Size
- 39 MB
- Sample ID
- GSM9231922
- License
- unknown
- Published
- May 21, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB