Visium
Rat brain
GSM9168626
bronze Interactive viewer H&E Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9168626_8293_hires_image': DataArray[cyx] (3, 3000, 3000)
│ └── 'GSM9168626_8293_lowres_image': DataArray[cyx] (3, 600, 600)
├── Shapes
│ └── 'GSM9168626_8293': GeoDataFrame shape: (6080, 2) (2D shapes)
└── Tables
└── 'table': AnnData (6080, 19465)
with coordinate systems:
▸ 'GSM9168626_8293', with elements:
GSM9168626_8293_hires_image (Images), GSM9168626_8293_lowres_image (Images), GSM9168626_8293 (Shapes)
▸ 'GSM9168626_8293_downscaled_hires', with elements:
GSM9168626_8293_hires_image (Images), GSM9168626_8293 (Shapes)
▸ 'GSM9168626_8293_downscaled_lowres', with elements:
GSM9168626_8293_lowres_image (Images), GSM9168626_8293 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("HLF2AS2RJwEp2Asx") # 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/HLF2AS2RJwEp2Asx
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid HLF2AS2RJwEp2Asx Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["HLF2AS2RJwEp2Asx0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Intercellular signaling and synaptic deconstruction uncovered by single-cell and spatial transcriptomics in an AD tauopathy model→ 4 datasets · time course
Metadata
- Technology
- Visium
- Organism
- rat
- Tissue
- brain
- Modality
- RNA
- Observations
- 6,080
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 3,000 × 3,000 px
- mpp
- 4.297 µm/px
- Size
- 52 MB
- Sample ID
- GSM9168626
- License
- unknown
- Published
- Dec 4, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB