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On 02 June 2026, the EACR hosted a webinar in collaboration with Bio-Techne Spatial, one of our valued EACR Industry Partners. In this webinar we welcomed Prof. Raphael Gottardo from Lausanne University Hospital, who presented emerging computational strategies to improve spatial resolution and data integration across samples, along with approaches for combining these modalities to enhance cell type annotation and biological interpretation.
Thanks to Prof. Gottardo and Bio-Techne Spatial we are able to provide free on-demand access to the webinar, which can be found above.
Talk abstract
Prof. Gottardo’s team combined Xenium spatial transcriptomics with COMETTM to profile RNA and protein at single-cell resolution in Non-Small Cell Lung Cancer (NSCLC) tissue sections. Their results indicate that the two technologies are broadly compatible, with consistent cell type signals and no apparent loss of proteomic quality following Xenium processing.
He presents emerging computational strategies to improve spatial resolution and data integration across samples, along with approaches for combining these modalities to enhance cell type annotation and biological interpretation.
Overall, this work outlines a practical framework for spatial multi-omics, leveraging the complementary strengths of transcriptomics and proteomics. Finally, Prof. Gottardo discusses strategies for using this multimodal data in exploratory analyses, as well as how COMETTM can be leveraged to validate findings and support clinical translation.
Speaker
Prof. Raphael Gottardo
Director of the Biomedical Data Science Center at Lausanne (low-zan) University Hospital. He’s also a Full Professor in the Faculty of Biology and Medicine at the University of Lausanne (low-zan) and Adjunct Professor at EPFL.
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