Title : Using signal- and image-interpreting methods to control the production and the quality of nanomaterials
The production and use of nanomaterials require appropriate testing methods for the quality and effectiveness of nanomaterials for use. Signal and image processing methods play an important role in this regard. In molecular imaging, the effectiveness of contrast agents, such as graphene, can be determined by image processing. Microscope image analysis can be used to determine whether the active ingredients dock to the correct cell parts and perform their expected function there or not. Protein crystallization can be monitored with RAMAN spectroscopy and the purity and type of protein can be determined automatically by suitable signal analysis methods. The talk presents the use of automatic image-interpreting systems and methods for molecular imaging and cell image analysis. An automatic RAMAN spectroscopy system and the novel signal interpretation methods are presented. All processes are to be considered generalistic and can be applied to various fields of application for the production of nanomaterials. This allows you to give an overview of the performance and application possibilities of signal- and image-interpreting systems and can stimulate the audience to think about new applications.
- Learn how signal- and image-interpreting methods can be used to control the production and quality of nanomaterials.
- Tree examples will be given for molecular imaging, cell image analysis and protein crystallization with RAMAN spectroscopy.
- It will stimulate the audience to think about usage for their application.