CASUS Hands-on Software Seminar, Robert Haase, TU Dresden

Thanks to recent advances in development of graphics processing units (GPUs) a number of new computational approaches to study biological phenomena arised. GPU-acceleration is not just key for the application of artificial intelligence to solve complex tasks in microscopical image processing, it also allows to design image analysis workflows interactively and inspect results in real-time. Thanks to compute-time reduction of orders of magnitude, more complex workflows can be designed. Thus, end-users can answer scientific questions which were not accessible so far because of computational limitations. This seminar will give insights about how the GPU-accelerated image processing libraries CLIJ and clEsperanto work, and how they can be used on the platforms Fiji and Napari to setup advanced image analysis workflows for studying biological phenomena in three dimensions and over time.