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    From Transcripts to Cells: Dissecting Sensitivity, Specificity, and Spatial Fidelity in Xenium Spatial Transcriptomics


    Free Virtual Event

    Available On Demand

    About The Event

    Discover the future of spatial transcriptomics with the Xenium platform! With the Xenium platform already renowned for its exceptional reliability, accessibility, and data quality, we're thrilled to unveil one of the largest and most diverse Xenium datasets ever assembled, featuring over 40 meticulously curated breast and lung tumor sections.

    Dive into this groundbreaking resource as we embark on a comprehensive exploration of technical noise, assay specificity, panel performance, and segmentation strategies. Our in-depth comparison of targeted panels with the revolutionary Xenium Prime 5K assay uncovers exciting insights: while this panel captures a broader array of transcripts and more genes overall, it also highlights the Xenium v1 panel’s superior per-gene sensitivity.

    But that's not all! See the transformative power of single nucleus RNA-seq (snRNA-seq), which elevates cell-type annotation and delivers precise quantification of transcript misassignment, and witness firsthand how snRNA-seq can be harnessed to refine data interpretation and elevate overall data quality.

    Our findings set a new benchmark for Xenium performance and introduce a scalable, cutting-edge approach to refining spatial transcriptomic signals. Elevate your research with improved accuracy and utility in downstream analysis. Join us on this exciting webinar to advance the frontiers of scientific discovery with the Xenium platform!

    Our Speakers

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    PG
    Pr. Raphael Gottardo, PhD
    Full Professor, Director
    University of Lausanne, Lausanne University Hospital

    Our Sponsors

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