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.
Aeronautics and Automotive, Bio-based materials and polymers, Chemistry and Catalysis, Construction Materials, Cultural Heritage, Electronics, Energy Applications, Environmental Engineering and Recycling, Food and Agriculture, Industrial production and Manufacturing, Medtech - Biomedical engineering, Metallurgy and Mining, Nanotechnology and Nanomaterials, Pharma and Biotechnology
Offer / Action
Through CIPA standardized and user-friendly tools and systems for remote access as well as development of new tools for analysis of data are offered to academia and industry.