Correlative Image Processing and Analysis (CIPA) is an infrastructure at Lund University. CIPA aims to reduce the gap between the amount of acquired and consequently analysed images, e.g., advanced imaging today generates vast amount of data and it is a necessity to segment out scientifically relevant information.
The currently available instruments for imaging on the microscopy scale show clear trends towards multimodal and multiscale studies of dynamic systems. The output of such experiments is complex three- or four-dimensional arrays of images. Strengthening both the design of appropriate experiments to answer the scientific questions and the retrieval of quantitative information from the images, will strongly increase the quality of the scientific outcome, creating value for both society, industry, and financiers of existing imaging facilities.