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MALDI mass spectrometry imaging

Lumbricus rubellus multicellular organism

2019-11-05_09h52m27s

bronze Interactive viewer H&E No linked publication
MALDI mass spectrometry imaging
print(sdata)
SpatialData object
├── Images
│     └── 'optical_image': DataTree[cyx] (3, 688, 1173), (3, 344, 586), (3, 172, 293), (3, 86, 146)
├── Shapes
│     └── 'maldi_spots': GeoDataFrame shape: (203205, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (203205, 1)
with coordinate systems:
    ▸ 'global', with elements:
        optical_image (Images), maldi_spots (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("kzemQHWFZUVPoick0000")
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("kzemQHWFZUVPoick")   # 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 kzemQHWFZUVPoick0000 --dest data/

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

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

License: CC BY 4.0

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Metadata

Technology
MALDI mass spectrometry imaging
Organism
lumbricus rubellus
Tissue
multicellular organism
Modality
Metabolomics
Observations (pixels)
203,205
Tier
bronze
Resolution
1,173 × 688 px
mpp
10.000 µm/px
Size
4.5 MB
Sample ID
2019-11-05_09h52m27s
License
CC BY 4.0
Published
Nov 5, 2019

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