Lensless microscopic imaging system and image reconstruction method based on average projection iteration

Abstract

The invention discloses a lensless microscopic imaging system and an image reconstruction method based on average projection iteration. The system is composed of an LED light source, a sample table and a camera. According to the image reconstruction method, through an iterative algorithm based on average projection and self-adaptive pixel super-resolution, high-resolution phase information of a to-be-measured optical wave field is recovered from a light intensity image shot by a camera under monochromatic light illumination, then the complex amplitude of a to-be-measured object on a focusing surface is obtained through numerical back propagation, and finally image filtering is carried out to obtain the amplitude and phase information of the object with high signal-to-noise ratio on the focusing surface. Other imaging optical elements are not needed, the size of a microscope can be reduced, and the cost is reduced; and meanwhile, a quantitative phase image of a sample with high signal-to-noise ratio is obtained by utilizing the image information on a plurality of out-of-focus planes, so that the label-free three-dimensional imaging of the biological cell sample is realized. The method is expected to be widely applied to the fields of cytobiology, zoology, life science, medical diagnosis and the like.

Description

technical field [0001] The invention relates to the technical field of optical microscopic imaging, in particular to a lensless microscopic imaging system and an image reconstruction method based on average projection iteration. Background technique [0002] Optical microscopes have been the core instruments for biomedical detection and analysis since they were used for biomedical observation in the 1660s. The advent of phase contrast microscopes, differential interference phase contrast microscopes, fluorescence microscopes, and laser confocal microscopes has greatly promoted the improvement of life science research. They provide higher resolution and imaging quality for disease diagnosis, especially for major malignant diseases. Early diagnosis provides powerful imaging evidence and becomes an indispensable tool in modern clinical medicine. However, these microscope systems are still based on the "what you see is what you get" imaging method, and do not take full advantag...

AI Technical Summary

Problems solved by technology

Although this method omits the imaging lens, it introduces an additional expensive and bulky laser light source, which does not effectively reduce the size and cost of the system

In addition, the harsh requirements

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