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MALDI mass spectrometry imaging

Human lung

2023-06-27_22h57m11s

bronze Interactive viewer H&E bronchopulmonary dysplasia No linked publication
Human lung preview
print(sdata)
SpatialData object
├── Images
│     └── 'optical_image': DataTree[cyx] (3, 8961, 9984), (3, 4480, 4992), (3, 2240, 2496), (3, 1120, 1248)
├── Shapes
│     └── 'maldi_spots': GeoDataFrame shape: (16428, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (16428, 227)
with coordinate systems:
    ▸ 'global', with elements:
        optical_image (Images), maldi_spots (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("0cAwaUvkxlXrM0a50000")
ds.elements()          # inspect without downloading
sdata = ds.to_sdata()  # cached locally, reused
print(sdata)
Python · lamindb

Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.

import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("0cAwaUvkxlXrM0a5")   # stem uid: Lamin resolves it to the 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
Shell
# sddb client: download the .zarr into data/
sddb-cli download 0cAwaUvkxlXrM0a50000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/0cAwaUvkxlXrM0a5

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 0cAwaUvkxlXrM0a5

License: CC BY 4.0

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Metadata

Technology
MALDI mass spectrometry imaging
Organism
human
Tissue
lung
Condition
bronchopulmonary dysplasia
Modality
Metabolomics
Observations
16,428
Tier
bronze
Resolution
9,984 × 8,961 px
mpp
35.000 µm/px
Size
235 MB
Sample ID
2023-06-27_22h57m11s
License
CC BY 4.0
Published
Jun 27, 2023

Cite this dataset

No linked publication found — please cite the data source: metaspace2020.org ↗.

Source: metaspace2020.org ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB