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Visium

Human inferior parietal cortex

GSM8675582

silver Interactive viewer H&E Alzheimer disease ✓ Verified publication
Human inferior parietal cortex preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM8675582_Cohort8-A_A14-193-4_full_image': DataTree[cyx] (3, 3000, 3000), (3, 1500, 1500), (3, 750, 750), (3, 375, 375), (3, 187, 187)
│     ├── 'GSM8675582_Cohort8-A_A14-193-4_hires_image': DataArray[cyx] (3, 2000, 1846)
│     └── 'GSM8675582_Cohort8-A_A14-193-4_lowres_image': DataArray[cyx] (3, 600, 554)
├── Shapes
│     └── 'GSM8675582_Cohort8-A_A14-193-4': GeoDataFrame shape: (13299, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (13299, 18085)
with coordinate systems:
    ▸ 'GSM8675582_Cohort8-A_A14-193-4', with elements:
        GSM8675582_Cohort8-A_A14-193-4_full_image (Images), GSM8675582_Cohort8-A_A14-193-4_hires_image (Images), GSM8675582_Cohort8-A_A14-193-4_lowres_image (Images), GSM8675582_Cohort8-A_A14-193-4 (Shapes)
    ▸ 'GSM8675582_Cohort8-A_A14-193-4_downscaled_hires', with elements:
        GSM8675582_Cohort8-A_A14-193-4_hires_image (Images), GSM8675582_Cohort8-A_A14-193-4 (Shapes)
    ▸ 'GSM8675582_Cohort8-A_A14-193-4_downscaled_lowres', with elements:
        GSM8675582_Cohort8-A_A14-193-4_lowres_image (Images), GSM8675582_Cohort8-A_A14-193-4 (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("PhqW51CMGIyX1mKM")   # 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
Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/PhqW51CMGIyX1mKM

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid PhqW51CMGIyX1mKM
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["PhqW51CMGIyX1mKM0000"])[0]
ds.elements()                 # inspect without downloading
sdata = ds.load(lazy=False)   # copy to the local cache and open

Docs: finding & loading data →

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Metadata

Technology
Visium
Organism
human
Tissue
inferior parietal cortex
Condition
Alzheimer disease
Modality
RNA
Observations
13,299
Tier
silver
Chemistry
Visium CytAssist v2
Resolution
1,846 × 2,000 px
mpp
6.816 µm/px
Size
60 MB
Sample ID
GSM8675582
License
CC BY 4.0
Published
Mar 3, 2025

Cite this dataset

doi.org/10.1038/s41591-025-03574-1 ↗
BibTeX
@article{van_Olst_2025,
  title = {Microglial mechanisms drive amyloid-β clearance in immunized patients with Alzheimer’s disease},
  volume = {31},
  ISSN = {1546-170X},
  url = {http://dx.doi.org/10.1038/s41591-025-03574-1},
  DOI = {10.1038/s41591-025-03574-1},
  number = {5},
  journal = {Nature Medicine},
  publisher = {Springer Science and Business Media LLC},
  author = {van Olst, Lynn and Simonton, Brooke and Edwards, Alex J. and Forsyth, Anne V. and Boles, Jake and Jamshidi, Pouya and Watson, Thomas and Shepard, Nate and Krainc, Talia and Argue, Benney MR and Zhang, Ziyang and Kuruvilla, Joshua and Camp, Lily and Li, Mengwei and Xu, Hang and Norman, Jeanette L. and Cahan, Joshua and Vassar, Robert and Chen, Jinmiao and Castellani, Rudolph J. and Nicoll, James AR and Boche, Delphine and Gate, David},
  year = {2025},
  month = Mar,
  pages = {1604–1616}
}

Source: NCBI GEO ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB