In order to get a reconstruction, there needs to be an oversampled diffraction pattern, which is needed to solve the phase problem during reconstruction, and a dark frame, which is needed to eliminate defects in the CCD camera. After using the dark frame to correct for noise due to the camera, a program attempts to build reconstructions via an algorithm that checks a test reconstruction against the diffraction pattern and a mask that is within the defined support and zero everywhere else. This runs for 1000 iterations, each time trying to lower the error relative to the diffraction pattern. The oversampling ratio was found by counting the pixels between the peaks of the diffraction pattern. For the fly wing reconstruction, the 10 diffraction patterns were added together computationally and then processed as described above. For the 2D worm reconstruction, two diffraction patterns, one with a beam stop and one without were used. These two diffraction patterns were processed individually until after they were symmetrized due to the diffraction patterns having different centers. Once symmetrized, they were added together, normalized, and adjusted for oversaturation. The improvement from using a single image to summing multiple images can be seen in figure 3.