Resource optimizing real time analysis of artifactious image sequences for the detection of nano objects (B02)

• Subject Area: Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing ; Epidemiology and Medical Biometry/Statistics
• Term: from 2011 to 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 124020371

The project aims at novel approaches of real time detection of nano-objects in artifactious image sequences under limited resources, in particular energy. A central issue is to optimize the trade-off between hardware efficiency, time efficiency, and detection quality for image- and data-analysis approaches. The new approaches are evaluated on sensors implementing the novel PAMONO technique (Plasmon Assisted Microscopy Of Nano-Objects). Since PAMONO is useful in relevant fields of pharmaceutical quality control and in-process control of biological materials that may contain viruses (blood products) or virus-like particles (vaccines), it is continued as a transfer project.

• DFG Programme: Collaborative Research Centres (Transfer Project)
• Subproject of: SFB 876: Providing Information by Resource-Constrained Data Analysis
• Applicant Institution: Technische Universität Dortmund
• Project Heads: Professor Dr. Jian-Jia Chen, from 1/2015 until 12/2018; Dr. Roland Hergenröder, since 1/2015; Professor Dr. Peter Marwedel, until 12/2014; Professor Dr. Heinrich Müller, until 12/2018; Privatdozent Dr. Frank Weichert, since 1/2019; Dr. Alexander Zybin, until 12/2014