Success in the context of Mannheim University of Applied Sciences' digitization strategy

The rapid implementation of digitization technologies is the topic of the next few years for the German economy in order to survive in international competition. In particular, the associated opportunities for optimized automation and quality assurance of all processes in industry offer the chance to bring back areas of value creation that have been shifted to low-wage countries and also to conquer new areas.

A prerequisite for a successful digitization process in society is, not least, that the young generation is introduced to the latest technologies as early as the training phase. Mannheim University of Applied Sciences has so far always succeeded in providing the latest technologies for teaching and research, despite limited resources. "With the funds of €75,000 acquired as part of the equipment program of the state of Baden-Württemberg, we were now able to purchase a digital microscope (VHX, Keyence) at the CeMOS competence center, which opens up completely new perspectives for us," explains Prof. Dr. Matthias Rädle, deputy director of the center. The device is already being used in teaching within the measurement and control engineering practical course of the Faculty of Process and Chemical Engineering. In addition to scientific use in the area of R&D by the CeMOS research center, the Rhine Neckar Competence Center for Virtual Engineering (KVE) and the interdisciplinary 3D production center currently under construction, the microscope is also available to all other researchers at the university.

"What is particularly advantageous is the intuitive operation as well as various additional functions and image processing tools," says Annabell Heintz, who will be using the microscope as part of her doctorate. Overall images with extremely high depth of field and resolution can be compiled from hundreds of individual images. 3D images are also possible and surface topographies of uneven objects can be displayed. For this purpose, the original images from differently exposed images taken at different angles, distances and microscope stage positions are computed using AI methods. The high-resolution zoom lens with magnifications of up to 5,000x is suitable for displaying the smallest structures. Sample images and applications have already been published on the center's homepage (