During my time over the summer at the University of Edinburgh and the Queens Medical Research Institute, I spent a week learning about image processing, specifically using ImageJ and MatLab. Using ImageJ I learned the basics of selecting ROI's (regions of interest) and using filters to make the pre-existing data more clear. I also learned to use the auto counting tools and general terminology etc. surrounding image processing. In MatLab, as shown in the header, I learned how to segment an RGB 8 bit image into individual channels (both RGB and HSV) and using value mapping, create thresholds to edit the color values fundamentally filtering the image by hand. Then I re-concatenated the image back into RGB. With more time I'd like to work on transferring the skillset to Python potentially using Numpy and also how to filter further manually with Matlab including image smoothing. This has given me the skill to be able to better interpret microscopic images as well as better process images I do capture.