Images of segmented cells are of enormous importance for biomedical research and diagnostics. And extremely expensive. Although Artificial Intelligence (AI) is now capable of cell segmentation, it needs to be trained with large quantities of data, which experts must label manually. Within the context of the SAIL research project, doctoral candidate Eiram Mahera Sheikh conducts research at HSBI to find out how this process can be sped up efficiently. She thus uses AI – more precisely, Deep Active Learning – as early as in the preparation of training data.