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Visium

Human spinal cord

human-spinal-cord-whole-transcriptome-analysis-stains-dapi-anti-snap-25-anti-gfap-anti-myelin-cn-pase-1-standard-1-2-0

silver Interactive viewer H&E No linked publication
Human spinal cord preview
print(sdata)
SpatialData object
├── Images
│     ├── 'Parent_Visium_Human_SpinalCord_full_image': DataTree[cyx] (4, 4444, 4444), (4, 2222, 2222), (4, 1111, 1111), (4, 555, 555), (4, 277, 277)
│     ├── 'Parent_Visium_Human_SpinalCord_hires_image': DataArray[cyx] (3, 2000, 2000)
│     └── 'Parent_Visium_Human_SpinalCord_lowres_image': DataArray[cyx] (3, 600, 600)
├── Shapes
│     └── 'Parent_Visium_Human_SpinalCord': GeoDataFrame shape: (2812, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (2812, 36601)
with coordinate systems:
    ▸ 'Parent_Visium_Human_SpinalCord', with elements:
        Parent_Visium_Human_SpinalCord_full_image (Images), Parent_Visium_Human_SpinalCord_hires_image (Images), Parent_Visium_Human_SpinalCord_lowres_image (Images), Parent_Visium_Human_SpinalCord (Shapes)
    ▸ 'Parent_Visium_Human_SpinalCord_downscaled_hires', with elements:
        Parent_Visium_Human_SpinalCord_hires_image (Images), Parent_Visium_Human_SpinalCord (Shapes)
    ▸ 'Parent_Visium_Human_SpinalCord_downscaled_lowres', with elements:
        Parent_Visium_Human_SpinalCord_lowres_image (Images), Parent_Visium_Human_SpinalCord (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("Z0ok19LvFG4ahQln")   # 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/Z0ok19LvFG4ahQln

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Z0ok19LvFG4ahQln
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["Z0ok19LvFG4ahQln0000"])[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
spinal cord
Modality
RNA
Observations
2,812
Tier
silver
Chemistry
Visium v1
Resolution
2,000 × 2,000 px
mpp
4.095 µm/px
Size
153 MB
Sample ID
human-spinal-cord-whole-transcriptome-analysis-stains-dapi-anti-snap-25-anti-gfap-anti-myelin-cn-pase-1-standard-1-2-0
License
CC BY 4.0
Published
Oct 27, 2020

Cite this dataset

No linked publication found — please cite the data source: 10x Genomics ↗.

Source: 10x Genomics ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB