New advances in cell biology imaging, including high-throughput imaging and super-resolution imaging - generate huge image data sets, creating the need for skilled bioinformaticians able to quantitatively analyse the data. The Kriston-Vizi Lab bridges the gap between life sciences and computational sciences to develop new computational tools for quantitative analysis of imaging data. Multidisciplinary approaches link biology with mathematics, image processing, computer science and statistics, to create complex data analysis strategies, image processing pipelines, and design and implementation of statistical workflows.