Vizgen MERSCOPE
Human white matter
GSM8675816
bronze Interactive viewer multiple sclerosis Provisional
print(sdata)
SpatialData object
├── Shapes
│ └── 'cells': GeoDataFrame shape: (10768, 2) (2D shapes)
└── Tables
└── 'table': AnnData (10768, 500)
with coordinate systems:
▸ 'global', with elements:
cells (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("BsCLGFU0lXUjWzLl0000")
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("BsCLGFU0lXUjWzLl") # 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 BsCLGFU0lXUjWzLl0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/BsCLGFU0lXUjWzLl
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid BsCLGFU0lXUjWzLlLicense: NCBI GEO policy
Metadata
- Technology
- Vizgen MERSCOPE
- Organism
- human
- Tissue
- white matter
- Condition
- multiple sclerosis
- Modality
- RNA
- Observations (cells)
- 10,768
- Tier
- bronze
- Size
- 3.1 MB
- Sample ID
- GSM8675816
- License
- NCBI GEO policy
- Published
- Oct 29, 2025
Cite this dataset
doi.org/10.1016/j.immuni.2025.10.003 ↗ BibTeX
@article{geo:GSE284005,
doi = {10.1016/j.immuni.2025.10.003},
title = {GSM8675811},
year = {2025}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB