Advanced Tracking and Image Analysis (Z04)

• Subject Area: Biophysics
• Term: since 2014
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 240245660

Automated image analysis is important in many projects of this SFB to make use of the generated image data. To better cope with the increasingly complex image data, we will develop novel advanced methods for tracking, which better exploit the spatial-temporal information in the images and leverage recent develop-ments in the field of deep learning. The focus is on deep learning for joint segmentation and tracking of divisible targets with complex morphologies, probabilistic and deep learning-based tracking combined with colocalization, and application of the developed methods in multiple cooperation projects with partners from this SFB.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1129: Integrative Analysis of Pathogen – Replication and Spread
• Applicant Institution: Ruprecht-Karls-Universität Heidelberg
• Project Heads: Professor Dr. Fred A. Hamprecht; Privatdozent Dr. Karl Rohr