Opal Studio is a cross-platform image visualisation and analysis application for highly multiplexed imaging data, including Imaging Mass Cytometry (IMC), with support for OME-TIFF and SpatialData/Zarr formats. It provides responsive multi-channel rendering for large images and brings together common spatial biology workflows in a single interface, including channel preprocessing, cell segmentation, AI-based marker positivity detection, phenotype gating, and clustering.

Opal Studio also integrates several related tools developed by our group. These include a converter which generates virtual brightfield images from multiplexed images (multiplex2brightfield), and a consensus cell mask merging tool for combining outputs from multiple segmentation algorithms into a single robust cell segmentation mask.

References

Whitmarsh T, Al Sa'd M, González Solares E, Molaeinezhad A, Irfan MO, Mulvey C, Paez-Ribes M, Fatemi A, Cope W, Hua K, Hannon G, Bressan D and Walton N (2026) A toolkit for generating virtual brightfield images of histological and immunohistochemical stains from multiplexed data with AI-based channel selection and image enhancement. Front. Bioinform. 6:1765143. doi: 10.3389/fbinf.2026.1765143

Irfan MO, González-Solares EA, Whitmarsh T, Molaeinezhad A, Al Sa'd M, Mulvey CM, Ribes MP, Fatemi A, Bressan D and Walton NA (2025) Robust consensus nuclear and cell segmentation. Front. Genet. 16:1547788. doi: 10.3389/fgene.2025.1547788