Automatic correction method of optical microscope displacement stage based on Hough transform

Computational optical microscopy can obtain multidimensional and microscopic sample images and information that cannot be observed by the naked eye. However, due to limitations in hardware manufacturing level, optical deployment methods, and detection tools, there are often errors between the actual imaging system and its physical model, which makes it difficult for computational optical microscopy to achieve stable imaging functions and obtain high-quality observation images. This paper introduces an automatic correction method for microscope stage based on Hough Transform image processing. It does not require manual operation and only requires image processing of the imaging results to complete the correction fully automatically. The correction process is simple and fast, with better visualization and accuracy for the imaging results. It can greatly improve the efficiency of stage correction and ensure that the computational optical microscopy system can obtain high-quality observation images, and it can be universally applicable to optical microscopy systems with electrically controlled displacement stage.