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Excited to present our work at the European Molecular Imaging Meeting 2026 in Ljubljana 🇸🇮


This marks my first official poster as senior author, highlighting the continued development of our imaging-based platform for studying inflammation in alternative model systems.



🧠 What we show


In this study, we demonstrate the first AI-supported quantification of intestinal wall thickness in the invertebrate model Manduca sexta, combining:


  • clinical CT

  • micro-CT

  • and deep learning-based segmentation (U-Net)



This enables non-invasive, quantitative readouts of gut inflammation across experimental conditions.



🔬 Why this is important



A central goal of our work is to establish Manduca sexta as a scalable in vivo model that bridges the gap between in vitro systems and mammalian models.


This approach allows:


  • high-throughput phenotyping

  • mechanistic insight into host–microbe interactions

  • and translationally relevant imaging readouts



🤝 Collaboration


Great to see this project come together in collaboration with colleagues from Experimental Radiology, in particular Jan Scherberich.


📍 Poster


IMMU 034

AI-supported segmentation of intestinal wall thickness in clinical and micro-CT data sets in insects as a high-throughput model

🕒 Wednesday, March 25, 2026



Looking forward to discussions!




 
 
 

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