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Visium

Human temporal cortex

GSM8893118

bronze Interactive viewer H&E Lewy body dementia Provisional
Human temporal cortex preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM8893118_LBD12_hires_image': DataArray[cyx] (3, 1720, 2000)
│     └── 'GSM8893118_LBD12_lowres_image': DataArray[cyx] (3, 516, 600)
├── Shapes
│     └── 'GSM8893118_LBD12': GeoDataFrame shape: (10187, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (10187, 18085)
with coordinate systems:
    ▸ 'GSM8893118_LBD12', with elements:
        GSM8893118_LBD12_hires_image (Images), GSM8893118_LBD12_lowres_image (Images), GSM8893118_LBD12 (Shapes)
    ▸ 'GSM8893118_LBD12_downscaled_hires', with elements:
        GSM8893118_LBD12_hires_image (Images), GSM8893118_LBD12 (Shapes)
    ▸ 'GSM8893118_LBD12_downscaled_lowres', with elements:
        GSM8893118_LBD12_lowres_image (Images), GSM8893118_LBD12 (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("fMtJuxWnL0UIaDrJ0000")
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("fMtJuxWnL0UIaDrJ")   # 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 fMtJuxWnL0UIaDrJ0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/fMtJuxWnL0UIaDrJ

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid fMtJuxWnL0UIaDrJ

License: NCBI GEO policy

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Metadata

Technology
Visium
Organism
human
Tissue
temporal cortex
Condition
Lewy body dementia
Modality
RNA
Observations (spots)
10,187
Tier
bronze
Chemistry
Visium v1
Magnification
other
Resolution
2,000 × 1,720 px
mpp
11.277 µm/px
Size
105 MB
Sample ID
GSM8893118
License
NCBI GEO policy
Published
Feb 2, 2026

Cite this dataset

doi.org/10.1007/s00401-026-02981-z ↗
BibTeX
@article{Jin_2026,
  title = {Spatially resolved molecular signatures of Lewy body dementia},
  volume = {151},
  ISSN = {1432-0533},
  url = {http://dx.doi.org/10.1007/s00401-026-02981-z},
  DOI = {10.1007/s00401-026-02981-z},
  number = {1},
  journal = {Acta Neuropathologica},
  publisher = {Springer Science and Business Media LLC},
  author = {Jin, Yunjung and Chen, Kai and Wixom, Alexander Q. and Li, Zonghua and Koga, Shunsuke and Sekiya, Hiroaki and Xhafkollari, Gisela and Castanedes-Casey, Monica and Santhakumar, Hannah and Meneses, Axel D. and Neff, Abigail J. and Bu, Guojun and Heckman, Michael G. and Liu, Yuanhang and Ross, Owen A. and Dickson, Dennis W. and Zhao, Na},
  year = {2026},
  month = Jan
}

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