RESOLVING RESOLUTION USING ADAPTIVE OPTICS AND STRUCTURED ILLUMINATION
Annie O1, Rexavalmar Niduaza1, Marc Reinig2, Xiaodong Tao2, Joel Kubby1.
1University of California, Santa Cruz, Santa Cruz, CA, 2Baskin School of Engineering, University of California, Santa Cruz, Santa Cruz, CA.
Obtaining a high resolution image of objects that are small and difficult to see with a standard microscope is a challenge in modern science. Coupled with classical diffraction limitations, however, the challenge becomes much more difficult than usual with the presence of aberrations that distort image quality. Much of the knowledge biologists have about our world is based on information gathered by observing microscopy images. If those images are distorted in any way, that severely limits what scientists can learn. A possible solution to this problem is using adaptive optics (AO) and structured illumination (SI). By using AO and SI, we could extract super resolution images of samples that would otherwise be distorted by aberrations. Using light from a laser and a digital light processor (DLP) to direct several patterns into the object, we could collect images, mathematically rearrange data extracted from them, and rebuild them again to form a higher resolution image. A wavefront sensor (WFS) and deformable mirrors (DM) would be used to correct for any aberrations that appear in the raw image. We will present our findings on samples using the method described.