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

该项目的目的是在有限的资源，特别是能源下的人造图像序列中的纳米物体的真实的时间检测的新方法。一个核心问题是优化硬件效率，时间效率和图像和数据分析方法的检测质量之间的权衡。新的方法进行评估的传感器实现新的PAMONO技术（等离子体辅助显微镜的纳米物体）。由于PAMONO在制药质量控制和可能含有病毒（血液制品）或病毒样颗粒（疫苗）的生物材料的过程控制的相关领域是有用的，因此它作为一个转让项目继续进行。

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.