SpatialProteomicsNet: A unified interface for spatial proteomics data access for computer vision and machine learning

Python Ruby Submitted 16 June 2025Published 06 March 2026
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Editor: @ujjwalkarn (all papers)
Reviewers: @Timozen (all reviews), @tensorsofthewall (all reviews)

Authors

Adriano Martinelli (0000-0002-9288-5103), Marianna Rapsomaniki (0000-0003-3883-4871)

Citation

Martinelli et al., (2026). SpatialProteomicsNet: A unified interface for spatial proteomics data access for computer vision and machine learning. Journal of Open Source Software, 11(119), 8780, https://doi.org/10.21105/joss.08780

@article{Martinelli2026, doi = {10.21105/joss.08780}, url = {https://doi.org/10.21105/joss.08780}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {119}, pages = {8780}, author = {Martinelli, Adriano and Rapsomaniki, Marianna}, title = {SpatialProteomicsNet: A unified interface for spatial proteomics data access for computer vision and machine learning}, journal = {Journal of Open Source Software} }
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spatial proteomics imaging mass cytometry multiplexed ion beam imaging computational pathology machine learning computer vision

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ISSN 2475-9066