Learning aims: The students will generate samples for fluorescence microscopy and acquire images at the confocal and single molecule microscope. They will execute a number of experiments and analyze the acquired data using image J and other software. The students will train a deep-learning model and analyze the data they acquired themselves in superresolution microscopy. The students will critically evaluate the capabilities of modern microscopy techniques from literature research and present them to their peers. Contents: • Live-cell microscopy • Image generation, resolution and point-spread function • Background, Noise, extraktion of quantitative data • Use of Image J • Fluorescence-Recovery after Photobleaching • Single molecule superresolution microscopy • Image analysis with Deep-Learning Prof. Dr. H. Ewers: helge.ewers@fu-berlin.de Dr. Bas van Bommel: bas.van.bommel@fu-berlin.de close