Today, images are everywhere and are increasingly used in science. There are many examples of the importance of images over the history of science, a classic example being the motion sequence photographs of Eadweard Muybridge taken in 1878. These showed for the first time that for a brief moment when a horse gallops none of its feet are on the ground, thus capturing the truth through photography and paving the way for the development of the motion-picture industry ten years later. Imaging science is the multidisciplinary pursuit concerned with generating, collecting, analysing, enhancing, and visualizing images. Despite the UK being strong in imaging and having many strategic centres of excellence supporting a variety of imaging methods it currently lacks integration with research computing, which is essential for processing and understanding the detail of these images. These facilities are traditionally based around one imaging method but this fellowship copies the SCI (Scientific Computing and Imaging) Institute in Utah which is an international centre of excellence where software is developed across the range of imaging methods and for the variety of disciplines that use images. This approach allows knowledge to be transferred and software re-purposed across a variety of imaging communities. In the long term, by major goal is to develop a centre of excellence at UoL similar to the SCI Institute. There are two strands to the fellowship; the first is to develop software while the second is to upgrade computational skills and develop a computational community for imaging. In this fellowship I will work with two of these national imaging facilities to develop software for a number of strategic case studies. Seven of these will based around new spectral imaging methods along with an initial training case in super-resolution light imaging. The new spectral imaging methods are novel because they include spectroscopy information for each pixel or voxel of the 2D or 3D image. The fundamental physical principles for extracting the exact structural chemical information in spectroscopic X-ray and electron micrograph (em) images are now well established, but there are no software packages that implement the whole of this computational workflow. This fellowship will develop easy-to-use software for 2D, 3D and 4D visualization of X-ray and em images, integrating software tools, re-purposing algorithms and designing new visualization techniques. This fellowship will also upgrade computing skills in imaging at UoL. I will do this by working with a stakeholder group which includes four senior researchers. The PDRA and I will develop software for them, and those they collaborate with, and I will mentor one of their researchers who support others in their research groups. Knowledge from this mentoring will inform me about what training materials need to be developed on campus. I will also lead three computational networks at the UoL which will be advertised across the N8 (Northern 8 Universities). There will be one meeting a month across these networks which includes an annual one day conference for each of the networks. While working on these two objectives I will continue to develop professionally and further develop my research into the role of the RSE. With help from the SSI I will disseminate this research and campaign for the RSE role both at UoL and nationwide.