Large-visual-field high-resolution microscopic imaging method based on optimal Hadamard codes

Abstract

The invention discloses a large-visual-field high-resolution microscopic imaging method based on optimal Hadamard codes. The large-visual-field high-resolution microscopic imaging method includes generating a required optimal Hadamard code matrix by a computer, taking an LED array as a microscope light source, displaying optimal Hadamard code patterns, shooting a series of low-resolution microscopic images of a to-be-tested sample at different illumination angles by a camera, solving the low-resolution microscopic image of the to-be-tested sample under single-angle illumination according to the optimal Hadamard code matrix, and compositing the large-visual-field low-resolution microscopic images into a large-visual-field high-resolution image by the aid of a frequency domain aperture synthesis technology. The large-visual-field high-resolution microscopic imaging method has the advantages that required exposure time of the camera can be shortened, system image collection speed can be increased, noise can be suppressed, and quality of image collected by a system can be improved.

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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