Especially in scientific applications, the amount of image data is large and retention times are long, increasingly straining the IT systems and server load of research institutions. "Big Data is a current problem that is widely discussed in the field of scientific imaging. It is fueled by three developments: Higher frame rates, higher resolution, and the demand to take images that are as three-dimensional as possible," confirms Dr. Gerhard Holst, Head of Science & Research at PCO. "In general, image data can be compressed, but in approaches pursued so far, only after the image has been generated, either lossy or with a low compression rate." As a manufacturer of high-end camera systems, PCO found Swiss-based Dotphoton, which specializes in image compression for critical applications and AI, while exploring new ways to compress image data.