Large-field-of-view high-resolution microscopy imaging method based on optimal Hadamard coding

Abstract

The invention discloses a large-field-of-view high-resolution microscopic imaging method based on optimal Hadamard coding. Firstly, a computer is used to generate the required optimal Hadamard coding matrix, and then an LED array is used as a microscope light source to display the optimal Hadamard coding matrix. Hadamard encoding pattern, and use the camera to take a series of low-resolution microscopic images of the sample to be tested under different illumination angles, and then solve the low-resolution microscopic image of the sample to be tested when it is illuminated at a single angle according to the optimal Hadamard matrix , and finally use the frequency-domain synthetic aperture technique to synthesize multiple low-resolution images with a large field of view into a high-resolution image with a large field of view. The invention can not only reduce the exposure time required by the camera, improve the image collection speed of the system, but also suppress noise and improve the image quality collected by the system.

Description

technical field [0001] The invention belongs to optical imaging technology, in particular to a large-field high-resolution microscopic imaging method based on optimal Hadamard coding. Background technique [0002] In the field of microscopic imaging, higher resolution has always been the goal of pursuit, but there is a key problem while improving the resolution, that is, the space-bandwidth product of the microscope does not increase with the resolution, in other words, the traditional microscope There is a contradiction between the resolution and the size of the field of view that is difficult to balance at the same time. Because traditional microscopes use low-magnification objective lenses for imaging, the field of view is large but the resolution is low, and when high-magnification objective lenses are used for imaging, the resolution is improved but the corresponding field of view will be reduced. At present, in order to break through the contradiction between the reso...

AI Technical Summary

Problems solved by technology

Synthetic aperture imaging can be said to be a robust and simple microscopic imaging technology, but the most prominent problem at present is the contradiction between its imaging efficiency and quality, because using synthetic aperture imaging technology to take a complete super-resolution Images often take more than ten or tens of minutes, so how to improve imaging efficiency has become a technical problem that synthetic aperture imaging technology must overcome

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