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Visium

Rat heart

GSM9045886

bronze Interactive viewer H&E myocardial infarction Provisional
Rat heart preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM9045886_5_1_hires_image': DataArray[cyx] (3, 2000, 1827)
│     └── 'GSM9045886_5_1_lowres_image': DataArray[cyx] (3, 600, 548)
├── Shapes
│     └── 'GSM9045886_5_1': GeoDataFrame shape: (3685, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (3685, 25399)
with coordinate systems:
    ▸ 'GSM9045886_5_1', with elements:
        GSM9045886_5_1_hires_image (Images), GSM9045886_5_1_lowres_image (Images), GSM9045886_5_1 (Shapes)
    ▸ 'GSM9045886_5_1_downscaled_hires', with elements:
        GSM9045886_5_1_hires_image (Images), GSM9045886_5_1 (Shapes)
    ▸ 'GSM9045886_5_1_downscaled_lowres', with elements:
        GSM9045886_5_1_lowres_image (Images), GSM9045886_5_1 (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("VGxhn9YxlxxpNM1y0000")
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("VGxhn9YxlxxpNM1y")   # 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 VGxhn9YxlxxpNM1y0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/VGxhn9YxlxxpNM1y

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid VGxhn9YxlxxpNM1y

License: NCBI GEO policy

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Metadata

Technology
Visium
Organism
rat
Tissue
heart
Condition
myocardial infarction
Modality
RNA
Observations (spots)
3,685
Tier
bronze
Chemistry
Visium v1
Resolution
1,827 × 2,000 px
mpp
4.695 µm/px
Size
31.8 MB
Sample ID
GSM9045886
License
NCBI GEO policy
Published
Nov 30, 2025

Cite this dataset

doi.org/10.1101/2025.11.08.687255 ↗
BibTeX
@article{Mesfin_2025,
  title = {Infusible Extracellular Matrix Biomaterial Enhances Cell-Specific Pro-Repair Responses Following Acute Myocardial Infarction},
  url = {http://dx.doi.org/10.1101/2025.11.08.687255},
  DOI = {10.1101/2025.11.08.687255},
  publisher = {openRxiv},
  author = {Mesfin, Joshua M. and Chen, Alexander and Lyons, Quincy P. and Nguyen, Michael B. and Karkanitsa, Maria L. and Yu, Justin and Ninh, Van K. and Gardner, Emily and Wong, Elyse G. and Paleti, Sriya N. and Cheng, Julian and Bridgelal, Benjamin D. and Reimold, Kate E. and Cao, Selena and Uhre, Connor and Luo, Colin G. and Fu, Zhenxing and King, Kevin R. and Christman, Karen L.},
  year = {2025},
  month = Nov
}

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