Visium
Human locus ceruleus
GSM9656850
bronze Interactive viewer H&E Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9656850_Upper_Rostral_hires_image': DataArray[cyx] (3, 1998, 2000)
│ └── 'GSM9656850_Upper_Rostral_lowres_image': DataArray[cyx] (3, 600, 600)
├── Shapes
│ └── 'GSM9656850_Upper_Rostral': GeoDataFrame shape: (3121, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3121, 18061)
with coordinate systems:
▸ 'GSM9656850_Upper_Rostral', with elements:
GSM9656850_Upper_Rostral_hires_image (Images), GSM9656850_Upper_Rostral_lowres_image (Images), GSM9656850_Upper_Rostral (Shapes)
▸ 'GSM9656850_Upper_Rostral_downscaled_hires', with elements:
GSM9656850_Upper_Rostral_hires_image (Images), GSM9656850_Upper_Rostral (Shapes)
▸ 'GSM9656850_Upper_Rostral_downscaled_lowres', with elements:
GSM9656850_Upper_Rostral_lowres_image (Images), GSM9656850_Upper_Rostral (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("PMBYz9qOKoHkgWhL0000")
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("PMBYz9qOKoHkgWhL") # 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 PMBYz9qOKoHkgWhL0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/PMBYz9qOKoHkgWhL
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid PMBYz9qOKoHkgWhLLicense: NCBI GEO policy
Part of collection
Cellular Signatures of Melanocortin Pathway Genes Across the Locus Coeruleus [Spatial Transcriptomics]→ 4 datasets · other
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- locus ceruleus
- Modality
- RNA
- Observations (spots)
- 3,121
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,998 px
- mpp
- 3.487 µm/px
- Size
- 23.6 MB
- Sample ID
- GSM9656850
- License
- NCBI GEO policy
- Published
- Apr 20, 2026
Cite this dataset
doi.org/10.1186/s40478-026-02287-x ↗ BibTeX
@article{geo:GSM9656850,
doi = {10.1186/s40478-026-02287-x},
title = {GSM9656850},
year = {2026}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB