Visium
Human synovial membrane of synovial joint
GSM10060713
silver Interactive viewer H&E No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM10060713_S75_CT_19060_D-8-2_Normal_Synovium_hires_image': DataArray[cyx] (3, 1879, 2000)
│ └── 'GSM10060713_S75_CT_19060_D-8-2_Normal_Synovium_lowres_image': DataArray[cyx] (3, 564, 600)
├── Shapes
│ └── 'GSM10060713_S75_CT_19060_D-8-2_Normal_Synovium': GeoDataFrame shape: (1295, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1295, 18085)
with coordinate systems:
▸ 'GSM10060713_S75_CT_19060_D-8-2_Normal_Synovium', with elements:
GSM10060713_S75_CT_19060_D-8-2_Normal_Synovium_hires_image (Images), GSM10060713_S75_CT_19060_D-8-2_Normal_Synovium_lowres_image (Images), GSM10060713_S75_CT_19060_D-8-2_Normal_Synovium (Shapes)
▸ 'GSM10060713_S75_CT_19060_D-8-2_Normal_Synovium_downscaled_hires', with elements:
GSM10060713_S75_CT_19060_D-8-2_Normal_Synovium_hires_image (Images), GSM10060713_S75_CT_19060_D-8-2_Normal_Synovium (Shapes)
▸ 'GSM10060713_S75_CT_19060_D-8-2_Normal_Synovium_downscaled_lowres', with elements:
GSM10060713_S75_CT_19060_D-8-2_Normal_Synovium_lowres_image (Images), GSM10060713_S75_CT_19060_D-8-2_Normal_Synovium (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("6bX5whJXdKDxhd5g") # 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/6bX5whJXdKDxhd5g
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 6bX5whJXdKDxhd5g Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["6bX5whJXdKDxhd5g0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatial multi-omics identifies rheumatoid arthritis synovial niches and de-novo laminar histological patterns of fibroblasts subtypes→ 11 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- synovial membrane of synovial joint
- Modality
- RNA
- Observations
- 1,295
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,879 px
- mpp
- 3.223 µm/px
- Size
- 6.5 MB
- Sample ID
- GSM10060713
- License
- unknown
- Published
- Oct 12, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB