VCBM 2025: Eurographics Workshop on Visual Computing for Biology and Medicine

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https://diglib.eg.org/handle/10.2312/3607232

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Browsing VCBM 2025: Eurographics Workshop on Visual Computing for Biology and Medicine by Subject "Human centered computing → Scientific visualization"

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    Fully Automated Quantification of Synaptic Locations in Multi-channel Drosophila Photoreceptor Microscopy Data
    (The Eurographics Association, 2025) Brence, Blaz; Fuchs, Joachim; Hiesinger, Peter Robin; Baum, Daniel; Garrison, Laura; Krueger, Robert
    The workload posed by image analysis remains a major bottleneck for advances across the life sciences. To address this challenge, we have developed a fully automated workflow for processing complex 3D multi-channel microscopy images. Specifically, our workflow addresses the analysis of photoreceptor synapses in confocal images of the Drosophila melanogaster optic lobe. The workflow consists of multiple stages, combining traditional and machine learning-based approaches for image analysis and visual computing. It performs segmentation of brain regions, photoreceptor instance identification, and precise localization of synapses. The key novelty of the workflow is an automatic alignment of synapses into a cylindrical reference coordinate system, enabling comparative synaptic analysis across photoreceptors. To demonstrate the workflow's applicability, preliminary biological results and their interpretation based on 50 images are presented. While the workflow is still being improved further, here, we showcase its capacity for efficient and objective data processing for high-throughput neurobiological analyses.
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    Interaction in Narrative Medical Visualization: Insights from a Case Study on Tumor Diseases
    (The Eurographics Association, 2025) Mlitzke, Sophie; Mittenentzwei, Sarah; Preim, Bernhard; Meuschke, Monique; Garrison, Laura; Krueger, Robert
    This paper examines how basic interaction techniques for medical data, such as clipping planes and manually adjusting the transparency of surfaces, commonly used in professional medical visualizations, can be adapted for medical stories intended for non-expert audiences. We implemented two case studies, involving liver and lung tumors. The goal was to effectively communicate critical aspects such as tumor size, position, and lymph node involvement to our target group. In a mixed-methods online study involving 26 participants, we examined how these techniques facilitate understanding and engagement. Results suggest that transparent surfaces and guided animations, followed by interactive exploration, were beneficial for communicating nested anatomical structures. While promising, these findings are preliminary and not conclusive; further studies with larger samples and real target audiences are needed to validate the effectiveness of these techniques. Our work provides initial design insights for making complex medical content more accessible through interactive storytelling.