Visium
Human eye
NCBI771
silver Interactive viewer H&E adenoid cystic carcinoma ✓ Verified publication
print(sdata)
SpatialData object
├── Images
│ └── 'NCBI771_full_image': DataTree[cyx] (3, 9011, 10458), (3, 4505, 5229), (3, 2252, 2614), (3, 1126, 1307)
├── Shapes
│ └── 'NCBI771_spots': GeoDataFrame shape: (3584, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3584, 17943)
with coordinate systems:
▸ 'global', with elements:
NCBI771_full_image (Images), NCBI771_spots (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("Or0OhPZsZhhyJpTP") # 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/Or0OhPZsZhhyJpTP
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Or0OhPZsZhhyJpTP Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["Or0OhPZsZhhyJpTP0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and open Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- eye
- Condition
- adenoid cystic carcinoma
- Modality
- RNA
- Observations
- 3,584
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 10,458 × 9,011 px
- mpp
- 1.010 µm/px
- Size
- 155 MB
- Sample ID
- NCBI771
- License
- CC BY-NC-SA 4.0 NonCommercial
- Published
- Jul 5, 2023
Cite this dataset
doi.org/10.3390/cancers15123211 ↗ BibTeX
@article{Moeyersoms_2023,
title = {Spatial Transcriptomics Identifies Expression Signatures Specific to Lacrimal Gland Adenoid Cystic Carcinoma Cells},
volume = {15},
ISSN = {2072-6694},
url = {http://dx.doi.org/10.3390/cancers15123211},
DOI = {10.3390/cancers15123211},
number = {12},
journal = {Cancers},
publisher = {MDPI AG},
author = {Moeyersoms, Acadia H. M. and Gallo, Ryan A. and Zhang, Michelle G. and Stathias, Vasileios and Maeng, Michelle M. and Owens, Dawn and Abou Khzam, Rayan and Sayegh, Yoseph and Maza, Cynthia and Dubovy, Sander R. and Tse, David T. and Pelaez, Daniel},
year = {2023},
month = June,
pages = {3211}
} Source: NCBI GEO ↗ · License: CC BY-NC-SA 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB