Abstract
In a microscope system with multiple channels (cameras), each channel has a different optical path, thus introducing misalignment when picturing the same objects. This project focuses on correcting this misalignment to get a high-resolution image. To achieve efficient and sample-independent alignment, fluorescent beads are used as objects in the images. Images from two channels are considered in this project. Several registration algorithms are discussed, applied, and evaluated, including Gaussian fitting, phase correction, and point pattern matching. For testing, this project uses six three-dimension image files taken by a two-channel microscope system. After establishing the correspondence bead pairs, a nonlinear approach is applied to align the two images. Phase correction helps to improve the performance. A pair of two rotated images can exist. The correction of such a pair is not considered in this project. Further studies should include this case.