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

该项目的目标是在有限的资源，特别是有限的能量下，实时检测人造图像序列中的纳米目标。一个中心问题是优化图像和数据分析方法的硬件效率、时间效率和检测质量之间的权衡。新方法在实施新型PAMONO技术(等离子体辅助纳米对象显微镜)的传感器上进行了评估。由于PAMONO在药品质量控制和可能含有病毒(血液产品)或病毒样颗粒(疫苗)的生物材料的过程控制等相关领域很有用，因此继续作为一个转让项目。

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.