Visium
Mouse tibialis anterior
GSM6996258
silver H&E No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM6996258_C57_D4_CTX_TA_hires_image': DataArray[cyx] (3, 2000, 1781)
│ └── 'GSM6996258_C57_D4_CTX_TA_lowres_image': DataArray[cyx] (3, 600, 534)
├── Shapes
│ └── 'GSM6996258_C57_D4_CTX_TA': GeoDataFrame shape: (770, 2) (2D shapes)
└── Tables
└── 'table': AnnData (770, 32285)
with coordinate systems:
▸ 'GSM6996258_C57_D4_CTX_TA', with elements:
GSM6996258_C57_D4_CTX_TA_hires_image (Images), GSM6996258_C57_D4_CTX_TA_lowres_image (Images), GSM6996258_C57_D4_CTX_TA (Shapes)
▸ 'GSM6996258_C57_D4_CTX_TA_downscaled_hires', with elements:
GSM6996258_C57_D4_CTX_TA_hires_image (Images), GSM6996258_C57_D4_CTX_TA (Shapes)
▸ 'GSM6996258_C57_D4_CTX_TA_downscaled_lowres', with elements:
GSM6996258_C57_D4_CTX_TA_lowres_image (Images), GSM6996258_C57_D4_CTX_TA (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("9rhcVmFxIi2iM8jQ") # 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/9rhcVmFxIi2iM8jQ
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 9rhcVmFxIi2iM8jQ Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["9rhcVmFxIi2iM8jQ0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatiotemporal transcriptomic mapping of regenerative inflammation in skeletal muscle reveals a dynamic multilayered tissue architecture→ 7 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- tibialis anterior
- Modality
- RNA
- Observations
- 770
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 1,781 × 2,000 px
- mpp
- 4.302 µm/px
- Size
- 9.2 MB
- Sample ID
- GSM6996258
- License
- unknown
- Published
- Aug 28, 2024
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB