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Visium

Mouse heart

NCBI543

silver Interactive viewer H&E ischemia reperfusion injury ✓ Verified publication
Mouse heart preview
print(sdata)
SpatialData object
├── Images
│     └── 'NCBI543_full_image': DataTree[cyx] (3, 14336, 14592), (3, 7168, 7296), (3, 3584, 3648), (3, 1792, 1824)
├── Shapes
│     └── 'NCBI543_spots': GeoDataFrame shape: (1962, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (1962, 32285)
with coordinate systems:
    ▸ 'global', with elements:
        NCBI543_full_image (Images), NCBI543_spots (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("cODKvx39kWejMHry")   # 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/cODKvx39kWejMHry

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid cODKvx39kWejMHry
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["cODKvx39kWejMHry0000"])[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
mouse
Tissue
heart
Condition
ischemia reperfusion injury
Modality
RNA
Observations
1,962
Tier
silver
Chemistry
Visium v1
Magnification
20x
Resolution
14,592 × 14,336 px
mpp
0.547 µm/px
Size
255 MB
Sample ID
NCBI543
License
CC BY-NC-SA 4.0 NonCommercial
Published
May 9, 2023

Cite this dataset

doi.org/10.3389/fphar.2023.1173649 ↗
BibTeX
@article{Lin_2023,
  title = {Single-nucleus ribonucleic acid-sequencing and spatial transcriptomics reveal the cardioprotection of Shexiang Baoxin Pill (SBP) in mice with myocardial ischemia-reperfusion injury},
  volume = {14},
  ISSN = {1663-9812},
  url = {http://dx.doi.org/10.3389/fphar.2023.1173649},
  DOI = {10.3389/fphar.2023.1173649},
  journal = {Frontiers in Pharmacology},
  publisher = {Frontiers Media SA},
  author = {Lin, Wenyong and Chen, Xin and Wang, Dongyuan and Lu, Ruixia and Zhang, Chunling and Niu, Zhenchao and Chen, Jie and Ruan, Xiaofen and Wang, Xiaolong},
  year = {2023},
  month = May
}

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