Improving our understanding of machine learning robustness - in microscopy and beyond A central goal when applying machine learning in the biomedical research and medical imaging is to answer relevant interdisciplinary questions robustly and reliably across various setups and ideally modalities; however, this is challenged by different imaging systems, differences...