UC San Diego

In medicine and biology, image analysis is often used to quantify outcomes for a wide range of applications, including diagnostics, surgery, and general research. Image analysis tasks can include counting the number of cells in a given area of a fluorescently stained image or measuring the geometry of tissues during surgery. Currently, in these situations, one of the more common and powerful programs used for image analysis is ImageJ. However, ImageJ is a computer application, so before an image can be analyzed, it has to be loaded and saved to the computer. On the other hand, while there are mobile image processing applications, most of them have limited functionality, performing manipulations such as adding filters and masks to pictures to make them look more appealing, qualitatively. My project focuses on creating a mobile application with various useful analytic functions, so that image analysis can be done quickly and without need for an external computer. Some of the functions that will be included are: cropping, zooming, measuring, counting, brightness, drawing/labeling, transforming, and masking