Visium
Human skin of body
GSM8656737
silver Interactive viewer H&E peripheral T-cell lymphoma, not otherwise specified No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8656737_H21088-21_Sonden_SpikeIn_hires_image': DataArray[cyx] (3, 2000, 2000)
│ └── 'GSM8656737_H21088-21_Sonden_SpikeIn_lowres_image': DataArray[cyx] (3, 600, 600)
├── Shapes
│ └── 'GSM8656737_H21088-21_Sonden_SpikeIn': GeoDataFrame shape: (793, 2) (2D shapes)
└── Tables
└── 'table': AnnData (793, 17944)
with coordinate systems:
▸ 'GSM8656737_H21088-21_Sonden_SpikeIn', with elements:
GSM8656737_H21088-21_Sonden_SpikeIn_hires_image (Images), GSM8656737_H21088-21_Sonden_SpikeIn_lowres_image (Images), GSM8656737_H21088-21_Sonden_SpikeIn (Shapes)
▸ 'GSM8656737_H21088-21_Sonden_SpikeIn_downscaled_hires', with elements:
GSM8656737_H21088-21_Sonden_SpikeIn_hires_image (Images), GSM8656737_H21088-21_Sonden_SpikeIn (Shapes)
▸ 'GSM8656737_H21088-21_Sonden_SpikeIn_downscaled_lowres', with elements:
GSM8656737_H21088-21_Sonden_SpikeIn_lowres_image (Images), GSM8656737_H21088-21_Sonden_SpikeIn (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("L6LtkBrwVt5Y5qkm") # 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/L6LtkBrwVt5Y5qkm
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid L6LtkBrwVt5Y5qkm Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["L6LtkBrwVt5Y5qkm0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Multi-Omic Single-Cell Dissection of Leukemic T-Cell Lymphoma Following CAR T-Cell Therapy [Spatial Transcriptomics]→ 3 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- skin of body
- Condition
- peripheral T-cell lymphoma, not otherwise specified
- Modality
- RNA
- Observations
- 793
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 2,000 × 2,000 px
- mpp
- 3.651 µm/px
- Size
- 9.8 MB
- Sample ID
- GSM8656737
- License
- unknown
- Published
- Jan 5, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB