Abstract
In order to obtain better images of biological tissues, researches on microscopy imaging play a vital role in recent years. Confocal microscopy is widely used to capture images from biological specimens. To study the major mechanism of Drosophila brain activity, the brain science center (BRC) uses confocal microscopy to obtain images of Drosophila brain slices, hoping to construct a complete three-dimensional brain model. While the device plays a very important role, it has limits that restrict the quality of three-dimensional (3D) imaging. Due to limit of the specification, resolution is not equal in all coordinates. Neighboring pixels in xy-plane are closer than spacing between image slices. While reconstructing volume model using these image slices, inevitably resolution of z-axis will be lower than resolution of xy-plane. In the thesis, we propose a super-resolution method. The interpolation method is used first to construct a relationship tree, and then to allocate close points for interpolation. Later, a rectification of the raw images will be applied to improve the image intensity qualities. To judge the result of the interpolation, we define a reliability function to find out how reliable they are. The experimental result shows that it generate better reliability values than traditional linear interpolation and provides good z-axis information.