Rapid three-dimensional imaging method applicable to optical transparent sample

Abstract

The invention provides a rapid three-dimensional imaging method applicable to an optical transparent sample. The method comprises the steps of S1, training a convolution neural network; S2, processing a sample, in which a to-be-imaged sample is fixed after optical transparent processing; S3, acquiring an optical chromatography image of a shallow, in which wide-field images of the shallow layer are acquired and are input to the convolution neural network of which training is completed, and optical chromatography images which are same in numbers and sizes of the wide-field images are obtained; and S4, acquiring the optical chromatography image of the whole optical transparent sample. According to the method, a three-dimensional image of the sample is obtained by high-flux wide-field imaging and rapid axial scanning, and finally, a clear and complete three-dimensional image is restored by the convolution neural network; and by the method, the image shooting speed is remarkably increased, and a photobleaching effect is reduced.

Description

technical field [0001] The invention relates to image processing technology and microscopic imaging technology, in particular to a fast three-dimensional imaging method suitable for light-transparent samples. Background technique [0002] When using an optical microscope to detect thick tissue samples, the deep tissue will seriously absorb and scatter the incident light, resulting in limited imaging depth. Using the light-transparency method can make the tissue exhibit better light-transparent characteristics, and light incident into the tissue will not undergo large absorption or scattering. The current imaging method suitable for light-transparent samples is mainly light-sheet microscopy. However, this method relies on two mutually orthogonal optical paths to excite and detect the sample, and the optical paths are very complicated and difficult to adjust. In addition, most of the objective lenses used in light sheet microscopes are air mirrors with long working distances,...

AI Technical Summary

Problems solved by technology

The current imaging method suitable for optically transparent samples is mainly light sheet microscopy. However, this method relies on two mutually orthogonal optical paths to excite and detect the sample. The optical paths are very complicated and difficult to adjust.

In addition, the objective lenses used in light sheet microscopes are mostly air mirrors with long working distances, which have low numerical aperture NA values ​​and unsatisfactory resolution.

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