Visium
Human gray matter
GSM6368801
silver Interactive viewer H&E No linked publication

print(sdata)
SpatialData object
├── Images
│ ├── 'GSM6368801_CG3_CG3_hires_image': DataArray[cyx] (3, 2000, 2000)
│ └── 'GSM6368801_CG3_CG3_lowres_image': DataArray[cyx] (3, 600, 600)
├── Shapes
│ └── 'GSM6368801_CG3_CG3': GeoDataFrame shape: (4831, 2) (2D shapes)
└── Tables
└── 'table': AnnData (4831, 33538)
with coordinate systems:
▸ 'GSM6368801_CG3_CG3', with elements:
GSM6368801_CG3_CG3_hires_image (Images), GSM6368801_CG3_CG3_lowres_image (Images), GSM6368801_CG3_CG3 (Shapes)
▸ 'GSM6368801_CG3_CG3_downscaled_hires', with elements:
GSM6368801_CG3_CG3_hires_image (Images), GSM6368801_CG3_CG3 (Shapes)
▸ 'GSM6368801_CG3_CG3_downscaled_lowres', with elements:
GSM6368801_CG3_CG3_lowres_image (Images), GSM6368801_CG3_CG3 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("3tfpuLazwStT3khD0000")
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("3tfpuLazwStT3khD") # 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 3tfpuLazwStT3khD0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/3tfpuLazwStT3khD
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 3tfpuLazwStT3khD License: NCBI GEO policy
Part of collection
Decoding spatial gene activity changes in multiple sclerosis lesion progression→ 26 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- gray matter
- Modality
- RNA
- Observations (spots)
- 4,831
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 2,000 × 2,000 px
- mpp
- 3.465 µm/px
- Size
- 34.0 MB
- Sample ID
- GSM6368801
- License
- NCBI GEO policy
- Published
- Aug 5, 2024
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