08.-09. September 2022, Jena

Abstract submission deadline: June 30, 2022

Early bird registration deadline: July 31st, 2022

The 6th International Symposium “Image-based Systems Biology” (IbSB 2022) will be held on September 8-9, 2022 at the Leibniz-HKI (Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute) in Jena. It is organized by Prof. Dr. Thilo Figge and his team. All information on the evolving list of invited speakers and the abstract submission can be found here.

From the website:

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.