Visium
Human amygdala
GSM9937065
silver Interactive viewer H&E No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9937065_Br9280-V13B23-407_C1_full_image': DataTree[cyx] (3, 23276, 24256), (3, 11638, 12128), (3, 5819, 6064), (3, 2909, 3032), (3, 1454, 1516)
│ ├── 'GSM9937065_Br9280-V13B23-407_C1_hires_image': DataArray[cyx] (3, 1919, 2000)
│ └── 'GSM9937065_Br9280-V13B23-407_C1_lowres_image': DataArray[cyx] (3, 576, 600)
├── Shapes
│ └── 'GSM9937065_Br9280-V13B23-407_C1': GeoDataFrame shape: (4992, 2) (2D shapes)
└── Tables
└── 'table': AnnData (4992, 36601)
with coordinate systems:
▸ 'GSM9937065_Br9280-V13B23-407_C1', with elements:
GSM9937065_Br9280-V13B23-407_C1_full_image (Images), GSM9937065_Br9280-V13B23-407_C1_hires_image (Images), GSM9937065_Br9280-V13B23-407_C1_lowres_image (Images), GSM9937065_Br9280-V13B23-407_C1 (Shapes)
▸ 'GSM9937065_Br9280-V13B23-407_C1_downscaled_hires', with elements:
GSM9937065_Br9280-V13B23-407_C1_hires_image (Images), GSM9937065_Br9280-V13B23-407_C1 (Shapes)
▸ 'GSM9937065_Br9280-V13B23-407_C1_downscaled_lowres', with elements:
GSM9937065_Br9280-V13B23-407_C1_lowres_image (Images), GSM9937065_Br9280-V13B23-407_C1 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("Btxwkuy5BnXjZEDC0000")
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("Btxwkuy5BnXjZEDC") # 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 Btxwkuy5BnXjZEDC0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/Btxwkuy5BnXjZEDC
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Btxwkuy5BnXjZEDCLicense: NCBI GEO policy
Part of collection
Multiscale spatial transcriptomics resolves the cellular and molecular architecture of the human amygdala [Visium]→ 48 datasets · replicates
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- amygdala
- Modality
- RNA
- Observations (spots)
- 4,992
- Tier
- silver
- Chemistry
- Visium v1
- Magnification
- 20x
- Resolution
- 24,256 × 23,276 px
- mpp
- 0.305 µm/px
- Size
- 1.6 GB
- Sample ID
- GSM9937065
- License
- NCBI GEO policy
- Published
- Aug 24, 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