Software design for image stitching, depth of field expansion and auto-focusing operation on intelligent microscopy system based on software-driven hardware

Abstract

In the field of microscopic imaging, obtaining high-resolution images with a large field of view and depth of field has important research significance. However, as the numerical aperture increases, high lateral resolution cannot be balanced with large field of view and high longitudinal resolution. In order to solve this contradiction, this paper proposes a microscopic system design based on the cooperation of software and hardware. In the VS environment, the Qt development framework is used for system development, and the software is used to drive the movement of the platform and the camera to capture images then the image fusion is performed on the computer side. Aiming at the contradiction between resolution and field of view, this system adopts image registration and image fusion algorithm based on phase correlation method; for the conflict between resolution and depth of field, this system adopts image fusion algorithm based on minimum brightness; the auto focus function adapts variable step traversal method to locate the focus surface. The microscopy system equipped with the above functions can efficiently realize the acquisition of high-resolution images with large field of view and large depth of field, making computational microscopy imaging analysis more intelligent and automated.