7th International Symposium on Image-based Systems Biology

September 26 – 27, 2024

The adage that “a picture is worth a thousand words” also holds true in the field of systems biology. Image-based Systems Biology is a modern approach that aims to extract spatio-temporal information contained in images in a format that can be used to describe and model morphological, functional, and dynamical aspects of biological processes. Image-based Systems Biology seeks to take full advantage of the information in images and establishes an essential connection between experimental and theoretical examination of biological processes at a quantitative level. This approach includes:
  • acquisition and automated analysis of image data for high-content and high-throughput screening;
  • quantitative description of biological processes by appropriate characteristic measures;
  • construction of image-derived spatio-temporal models and predictive computer simulations.
Researchers from all fields are invited to communicate their results centered on Image-based Systems Biology in order to exchange novel scientific methods and to share recent achievements from image-driven research in biology. Joint studies of experiment and theory will be highly welcomed. Furthermore, demonstrations of methods for accurate segmentation and classification of regions of interest or object-tracking that can be applied for high-content and high-throughput screening are of interest, as well as computational methods for translating images into mathematical models ranging from differential equations to agent-based methods.
The International Symposium on Image-based Systems Biology has taken place biannually since 2012 at the HKI-Center for Systems Biology of Infection in Jena, Germany.

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