2026
Vortragende: Simon Schindler (Universität Wien), Integrative Network Analysis: Bridging Spatial Topology and Molecular Interactions in Tissue
Datum & Uhrzeit: Mittwoch, 28.01.2026, 13:30 - 14:30 Uhr
Ort: FH Salzburg, Campus Urstein, Hörsaal 152, Urstein Süd 1, 5412 Puch / Salzburg
Whole Slide Images (WSIs) are gigapixel-resolution digital reconstructions of tissue slides that capture immense morphological detail but are often too large for holistic human analysis. While Deep Learning has advanced the processing of these images, many end-to-end approaches operate as "black boxes," obscuring the underlying biological rationale. This project proposes an integrative graph analysis framework designed to derive interpretable scientific insights by bridging the explicit spatial arrangement of cells with molecular data.
By combining cell segmentation with spatial transcriptomics estimation and established protein-protein interactions, the study constructs cell-centric spatial networks to model the tissue microenvironment. This approach aims to quantify the dependencies between tissue topology and genomic activity using mathematically rigorous methods, including Network Science and Persistent Homology. Ultimately, the project seeks to move beyond opaque predictions to deliver grounded, cross-scale insights into the influence of spatially resolved gene expression on cell-cell communication and tissue architecture.
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Die IT-Talks sind die monatliche Vortragsreihe des Department IT.