← All datasets
MALDI mass spectrometry imaging

Drosophila embryo

2020-07-27_09h37m16s

bronze Interactive viewer H&E No linked publication
MALDI mass spectrometry imaging
print(sdata)
SpatialData object
├── Images
│     └── 'optical_image': DataTree[cyx] (3, 1931, 1716), (3, 965, 858), (3, 482, 429), (3, 241, 214)
├── Shapes
│     └── 'maldi_spots': GeoDataFrame shape: (24360, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (24360, 94)
with coordinate systems:
    ▸ 'global', with elements:
        optical_image (Images), maldi_spots (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("76GtDcwB9vkgU5km0000")
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("76GtDcwB9vkgU5km")   # 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 76GtDcwB9vkgU5km0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/76GtDcwB9vkgU5km

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 76GtDcwB9vkgU5km

License: CC BY 4.0

View on Lamin ↗ Open in Vitessce ↗ Flag a data issue

Metadata

Technology
MALDI mass spectrometry imaging
Organism
drosophila
Tissue
embryo
Modality
Metabolomics
Observations (pixels)
24,360
Tier
bronze
Magnification
40x
Resolution
1,716 × 1,931 px
mpp
50.000 µm/px
Size
12.9 MB
Sample ID
2020-07-27_09h37m16s
License
CC BY 4.0
Published
Jul 27, 2020

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