Authors: Tyler Daynes, Jair Gonzalez, Jeremy Tait, Josh Jumper, Ellie Purcell, Tyler O'Loughlin, Vern Hart
Mentors: Vern Hart
Insitution: Utah Valley University
Coherent diffractive imaging is a common method for resolving small objects such as cells in order to determine their morphology. In it's essence it takes the diffraction pattern of laser light attenuating through an object and computationally reconstructs them back into the image that the light goes through. On the downside resolution of these diffraction patterns resulting from CCD size and sensitivity can be poor resulting into a less than optimal reconstruction. We have set out to build a system that can magnify this diffraction pattern without distorting the original image of the pattern. We have done this by building our own rastering system that can magnify light on the far edges of our beam. It does this by taking images with a lens attached to the rastering camera. This also has a problem because when the camera moves our detected light quickly falls off the screen of the detector. To fix this we added a gyroscopic system to our camera and lens so that the incident light may hit the system asmuthally at every point on the raster. This in turn will provide a higher quality diffraction pattern for reconstructing in CDI.