KI-Morph

Modern 3D imaging across modalities (e.g., micro‑CT, MRI, light‑sheet and confocal microscopy) produces large volumetric datasets from cellular to organism scale. These volumes enable quantitative morphology, modeling, and discovery across the life sciences.

While acquisition has become fast and automated, downstream processing and analysis remain the bottleneck—often manual, slow, and hard to scale. KI‑Morph addresses this gap with scalable, reliable pipelines for high‑throughput 3D data processing and analysis.

KI‑Morph develops cutting‑edge algorithms and infrastructure to streamline large‑scale image analysis, with a focus on efficient processing of 3D tomographic images. By automating and accelerating key steps, the platform aims to reduce manual effort and improve the accuracy of scientific insights for researchers. The project is supported by the Federal Ministry of Education and Research (BMBF).

• Infrastructure Development: scalable software and hardware framework for high‑performance processing of large 3D datasets
• AI Algorithms for Image Segmentation and Analysis: automated segmentation and interpretation of 3D volumes to reduce manual effort and enhance accuracy
• Pipeline Evaluation: rigorous testing with datasets from diverse life‑science disciplines for robustness and versatility
• Science Communication and Visualization: interactive visualizations to make complex results accessible and foster collaboration

• Project steering and roadmap planning across research and infrastructure workstreams
• Designing the software and data architecture for scalable 3D image pipelines
• Developing AI-based segmentation and analysis workflows with domain partners
• Advancing visualization and communication tools to make results accessible