Three-dimensional microscopy imaging method and system based on light field microscopy system

Abstract

The invention discloses a three-dimensional microscopic imaging method and system based on a light field microscopic system, wherein the method includes: S1, in the optical system, acquiring the first point diffusion of the three-dimensional sample from the object plane to the sensor plane of the main camera function and the second point spread function from the object surface to the secondary camera sensor plane, generate the first forward projection matrix and the second forward projection matrix according to the first point spread function and the second point spread function; S2, acquire the three-dimensional sample in The light field intensity image taken by the main camera in the optical system and the high-resolution intensity image taken by the secondary camera; S3, the light field intensity image and the first forward projection matrix, the high-resolution intensity image and the second The forward projection matrix performs 3D reconstruction to generate a 3D reconstruction result of the 3D sample. In this method, by adding one acquisition optical path, the signal-to-noise ratio of focal plane reconstruction is enhanced under the same number of iterations, and the reconstruction effect of light field microscopic imaging is greatly improved.

Description

technical field [0001] The invention relates to the technical field of computational imaging, in particular to a three-dimensional microscopic imaging method and system based on a light field microscopic system. Background technique [0002] Usually, the microscopic samples that need to be observed are often three-dimensional. In traditional microscopic techniques, only one depth of the sample can be imaged two-dimensionally, and the sample slice can be observed, but the three-dimensional structure of the sample cannot be observed, which cannot meet the needs of some biological fields. If it is necessary to collect data of three-dimensional samples, it is necessary to collect multiple images of different depths through longitudinal axis scanning and other methods, and then perform axial splicing. This method is relatively slow. In the case of high dynamics, the scanning speed of the vertical axis Below the dynamic change rate of biological structures, it is difficult to ima...

AI Technical Summary

Problems solved by technology

However, this method is limited by the sparse spatial distribution at the imaging focal plane, making it difficult to improve the reconstruction resolution at the focal plane

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