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Name of the tool:
sopa
Short description: Sopa enables processing and analyses of image-based spatial-omics using a standard data structure and output. We currently support the following technologies: Xenium, MERSCOPE, CosMX, PhenoCycler, MACSIMA, Hyperion. Sopa was designed for generability and low-memory consumption on large images (scales to 1TB+ images). The pipeline outputs contain: (i) Xenium Explorer files for interactive visualization, (ii) a HTML report for quick quality controls, and (iii) a SpatialData
.zarr
directory for further analyses.How does the package use scverse data structures (please describe in a few sentences):
sopa
is built on top ofspatialdata
, a recent scverse data structure. Sopa also has a great interoperability with packages such asscanpy
orsquidpy
.Recommended
@scverse_team
) to include are:QuentinBlampey
Quentin Blampey