Visium
Human dental pulp
GSM9560414
silver Interactive viewer H&E pulpitis No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9560414_T06_full_image': DataTree[cyx] (3, 3000, 3000), (3, 1500, 1500), (3, 750, 750), (3, 375, 375), (3, 187, 187)
│ ├── 'GSM9560414_T06_hires_image': DataArray[cyx] (3, 1636, 2000)
│ └── 'GSM9560414_T06_lowres_image': DataArray[cyx] (3, 491, 600)
├── Shapes
│ └── 'GSM9560414_T06': GeoDataFrame shape: (1170, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1170, 18085)
with coordinate systems:
▸ 'GSM9560414_T06', with elements:
GSM9560414_T06_full_image (Images), GSM9560414_T06_hires_image (Images), GSM9560414_T06_lowres_image (Images), GSM9560414_T06 (Shapes)
▸ 'GSM9560414_T06_downscaled_hires', with elements:
GSM9560414_T06_hires_image (Images), GSM9560414_T06 (Shapes)
▸ 'GSM9560414_T06_downscaled_lowres', with elements:
GSM9560414_T06_lowres_image (Images), GSM9560414_T06 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("lI8fHwwq7Ku9qEzk") # 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/lI8fHwwq7Ku9qEzk
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid lI8fHwwq7Ku9qEzk Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["lI8fHwwq7Ku9qEzk0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatial Transcriptomics Analysis of inflamed versus healthy Dental Pulps→ 4 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- dental pulp
- Condition
- pulpitis
- Modality
- RNA
- Observations
- 1,170
- Tier
- silver
- Chemistry
- Visium CytAssist v2
- Resolution
- 2,000 × 1,636 px
- mpp
- 2.126 µm/px
- Size
- 25 MB
- Sample ID
- GSM9560414
- License
- NCBI GEO policy
- Published
- May 1, 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