Multilayer coaxial holographic microimaging system of super-resolution algorithm and imaging method

Abstract

The invention provides a multilayer coaxial holographic microimaging system of a super-resolution algorithm and an imaging method. The system comprises coaxial coherent light sources, a sample holder with multiple layers of samples, and an imaging chip. The sample holder is provided with a driving micro-motor. The output end of the imaging chip is connected with the input end of a calculator or computer. By means of the super-resolution algorithm, N holograms with the low resolution are reconstructed into N high-resolution holographic restructuring graphs with different focal distances. The system is free of a precise movement structure, and has the advantages that the structure is simplified, and the system can be used for various typical multiple layers of biological samples and non-biological samples; the imaging method utilizes the super-resolution algorithm, is a deterministic method, and has the super-resolution effect. High-resolution holographic restructuring graphs are obtained through multiple images with the low resolution.

Description

technical field [0001] The invention relates to holographic microscopic imaging, in particular to a multi-layer coaxial holographic microscopic imaging system and imaging method with super-resolution algorithm. [0002] technical background [0003] Optical microscopy imaging is widely used in biomedicine, materials and other fields, and is an indispensable tool for modern science. Ordinary optical microscopes generally include a microscope objective lens, plus an eyepiece or an imaging lens to magnify the sample and image it on the human eye or an imaging chip. The basic structure of the microscope has not changed over the years, and the latest microscopy techniques are generally based on the structure of traditional microscopes. The microscopic objective lens is the core of the traditional microscope. It must have a large numerical aperture to obtain micron and submicron resolution. At the same time, it needs to eliminate various aberrations and chromatic aberrations to ob...

AI Technical Summary

Problems solved by technology

But the problem with this method is that in the iterative estimation, a standard needs to be established in the algorithm to judge the location of this limited support.

[0007] (2) The single-layer structure of the sample limits the application range of the holographic system

The above problems restrict the further development of digital coaxial holographic reconstruction imaging method based on super-resolution algorithm

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