Visium
Human synovial membrane of synovial joint
GSM10060711
silver Interactive viewer H&E osteoarthritis No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM10060711_S73_CT_23031_A-6-2_OA_Synovium_hires_image': DataArray[cyx] (3, 2000, 1510)
│ └── 'GSM10060711_S73_CT_23031_A-6-2_OA_Synovium_lowres_image': DataArray[cyx] (3, 600, 453)
├── Shapes
│ └── 'GSM10060711_S73_CT_23031_A-6-2_OA_Synovium': GeoDataFrame shape: (2099, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2099, 18085)
with coordinate systems:
▸ 'GSM10060711_S73_CT_23031_A-6-2_OA_Synovium', with elements:
GSM10060711_S73_CT_23031_A-6-2_OA_Synovium_hires_image (Images), GSM10060711_S73_CT_23031_A-6-2_OA_Synovium_lowres_image (Images), GSM10060711_S73_CT_23031_A-6-2_OA_Synovium (Shapes)
▸ 'GSM10060711_S73_CT_23031_A-6-2_OA_Synovium_downscaled_hires', with elements:
GSM10060711_S73_CT_23031_A-6-2_OA_Synovium_hires_image (Images), GSM10060711_S73_CT_23031_A-6-2_OA_Synovium (Shapes)
▸ 'GSM10060711_S73_CT_23031_A-6-2_OA_Synovium_downscaled_lowres', with elements:
GSM10060711_S73_CT_23031_A-6-2_OA_Synovium_lowres_image (Images), GSM10060711_S73_CT_23031_A-6-2_OA_Synovium (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("GJoIVN9ldUXYENTR0000")
ds.elements() # inspect without downloading
sdata = ds.to_sdata() # cached locally, reused
print(sdata) Python · lamindb
Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("GJoIVN9ldUXYENTR") # stem uid: Lamin resolves it to the 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 Shell
# sddb client: download the .zarr into data/
sddb-cli download GJoIVN9ldUXYENTR0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/GJoIVN9ldUXYENTR
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid GJoIVN9ldUXYENTRLicense: NCBI GEO policy
Part 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
- Condition
- osteoarthritis
- Modality
- RNA
- Observations (spots)
- 2,099
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 1,510 × 2,000 px
- mpp
- 4.979 µm/px
- Size
- 9.5 MB
- Sample ID
- GSM10060711
- License
- NCBI GEO policy
- Published
- Oct 12, 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