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MALDI mass spectrometry imaging

Mouse liver

2022-03-28_11h48m54s

bronze Interactive viewer H&E ✓ Verified publication
Mouse liver preview
print(sdata)
SpatialData object
├── Images
│     └── 'optical_image': DataTree[cyx] (3, 1821, 1850), (3, 910, 925), (3, 455, 462), (3, 227, 231)
├── Shapes
│     └── 'maldi_spots': GeoDataFrame shape: (10000, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (10000, 91)
with coordinate systems:
    ▸ 'global', with elements:
        optical_image (Images), maldi_spots (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("xDAcOp37MqkcnRej0000")
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("xDAcOp37MqkcnRej")   # 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 xDAcOp37MqkcnRej0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/xDAcOp37MqkcnRej

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid xDAcOp37MqkcnRej

License: CC BY 4.0

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Metadata

Technology
MALDI mass spectrometry imaging
Organism
mouse
Tissue
liver
Modality
Metabolomics
Observations
10,000
Tier
bronze
Resolution
1,850 × 1,821 px
mpp
10.000 µm/px
Size
13.6 MB
Sample ID
2022-03-28_11h48m54s
License
CC BY 4.0
Published
Jul 24, 2024

Cite this dataset

doi.org/10.1038/s42255-024-01118-4 ↗
BibTeX
@article{metaspace:2022-03-28_11h48m54s,
  doi = {10.1038/s42255-024-01118-4},
  title = {2022-03-28_11h48m54s},
  year = {2024}
}

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