Image-based Systems Biology
(i) acquisition and automated analysis of image data for high-content and high-throughput screening;
(ii) quantitative description of biological processes by appropriate characteristic measures;
(iii) construction of image-derived spatio-temporal models and predictive computer simulations.
Researchers from all fields are invited to communicate their results focused 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.
You are also cordially invited to contribute to the second Special Issue on Image-based Systems Biology that will be published in Cytometry Part A. More information can be found here.