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Visium

Human cerebral cortex

GSM9065766

bronze Interactive viewer H&E isolated focal cortical dysplasia type II Provisional
Human cerebral cortex preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM9065766_D_hires_image': DataArray[cyx] (3, 1497, 2000)
│     └── 'GSM9065766_D_lowres_image': DataArray[cyx] (3, 449, 600)
├── Shapes
│     └── 'GSM9065766_D': GeoDataFrame shape: (4992, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (4992, 37082)
with coordinate systems:
    ▸ 'GSM9065766_D', with elements:
        GSM9065766_D_hires_image (Images), GSM9065766_D_lowres_image (Images), GSM9065766_D (Shapes)
    ▸ 'GSM9065766_D_downscaled_hires', with elements:
        GSM9065766_D_hires_image (Images), GSM9065766_D (Shapes)
    ▸ 'GSM9065766_D_downscaled_lowres', with elements:
        GSM9065766_D_lowres_image (Images), GSM9065766_D (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("LTV6Mz2fRMLo1J3J0000")
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("LTV6Mz2fRMLo1J3J")   # 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 LTV6Mz2fRMLo1J3J0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/LTV6Mz2fRMLo1J3J

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid LTV6Mz2fRMLo1J3J

License: NCBI GEO policy

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Metadata

Technology
Visium
Organism
human
Tissue
cerebral cortex
Condition
isolated focal cortical dysplasia type II
Modality
RNA
Observations (spots)
4,992
Tier
bronze
Chemistry
Visium v1
Magnification
other
Resolution
2,000 × 1,497 px
mpp
10.949 µm/px
Size
92.7 MB
Sample ID
GSM9065766
License
NCBI GEO policy
Published
Aug 19, 2025

Cite this dataset

doi.org/10.1111/bpa.70043 ↗
BibTeX
@article{Paliwal_2025,
  title = {Dysmorphic neurons express markers of inhibitory glycinergic signaling in focal cortical dysplasia
                    <scp>IIb</scp>},
  volume = {36},
  ISSN = {1750-3639},
  url = {http://dx.doi.org/10.1111/bpa.70043},
  DOI = {10.1111/bpa.70043},
  number = {2},
  journal = {Brain Pathology},
  publisher = {Wiley},
  author = {Paliwal, Ameesha and Faust, Kevin and Borhani, Okty Abbasi and Liu, Mugeng and Omoto, Lauren and Kamski‐Hennekam, Evelyn Rose and Zadeh, Parsa Babaei and Sajid, Rifat Shahriar and Diamandis, Phedias},
  year = {2025},
  month = Sept
}

Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB