
The Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions.
This seminar features Malte Kuehl from Aarhus University, Denmark.
Abstract
Proteins and their spatial distribution constitute the functional foundation of biology, offering critical insights into health and disease. However, probing pathological tissues at subcellular resolution remains challenging, from experimental design through image acquisition to computational analysis. I will present our recent work on Pathology-oriented multiPlexing (PathoPlex) published in Nature, which introduces key innovations spanning quality control, experimental design, and image acquisition, alongside spatiomic, a novel software library that accelerates spatial proteomics analysis at the pixel level and beyond. Finally, I will discuss how these developments, combined with advances in spatial statistics, agentic AI, and collaborative community efforts in open-source software, offer potential pathways for addressing remaining challenges in spatial proteomics.
Bio
Malte Kuehl studied medicine at the University of Hamburg, where he joined the Institute of Medical Systems Biology and the III. Medical Department to begin his Doctor of Medicine degree. In 2023, he joined the Complex Tissue Lab at Aarhus University, led by Prof. Puelles, as a postdoc. His primary research interests include spatial omics, image analysis, and agentic AI.


