10x Xenium
Human bone marrow
human-bone-and-bone-marrow-data-with-custom-add-on-panel-1-standard__hbonemarrow-nondiseased-section
silver Interactive viewer H&E No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'he_image': DataTree[cyx] (3, 36523, 13762), (3, 18261, 6881), (3, 9130, 3440), (3, 4565, 1720), (3, 2282, 860)
│ ├── 'morphology_focus': DataTree[cyx] (1, 17142, 48268), (1, 8571, 24134), (1, 4285, 12067), (1, 2142, 6033), (1, 1071, 3016)
│ └── 'morphology_mip': DataTree[cyx] (1, 17142, 48268), (1, 8571, 24134), (1, 4285, 12067), (1, 2142, 6033), (1, 1071, 3016)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (17142, 48268), (8571, 24134), (4285, 12067), (2142, 6033), (1071, 3016)
│ └── 'nucleus_labels': DataTree[yx] (17142, 48268), (8571, 24134), (4285, 12067), (2142, 6033), (1071, 3016)
├── Points
│ └── 'transcripts': DataFrame with shape: (1336636, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (84518, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (84518, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (84518, 1) (2D shapes)
└── Tables
└── 'table': AnnData (84518, 477)
with coordinate systems:
▸ 'global', with elements:
he_image (Images), morphology_focus (Images), morphology_mip (Images), cell_labels (Labels), nucleus_labels (Labels), transcripts (Points), cell_boundaries (Shapes), cell_circles (Shapes), nucleus_boundaries (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("CYSXFuMfiCBpL0Go") # 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/CYSXFuMfiCBpL0Go
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid CYSXFuMfiCBpL0Go Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["CYSXFuMfiCBpL0Go0002"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
10x-human-bone-and-bone-marrow-data-with-custom-add-on-panel-1-standard→ 3 datasets · other
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- bone marrow
- Modality
- RNA
- Observations
- 84,518
- Transcripts
- 1,336,636
- Tier
- silver
- Chemistry
- Xenium v1
- Resolution
- 13,762 × 36,523 px
- Size
- 2.3 GB
- Sample ID
- human-bone-and-bone-marrow-data-with-custom-add-on-panel-1-standard__hbonemarrow-nondiseased-section
- License
- CC BY 4.0
- Published
- Apr 3, 2024
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