Method for deblurring large-size sample image under high-power optical microscope

Abstract

The invention discloses a method for deblurring a large-size sample image under a high-power optical microscope, and belongs to the technical field of deblurring processing of optical images. The method comprises the following steps: acquiring images of different depths from a height calibration standard sample by using a high-power optical microscope, and constructing a three-dimensional energy diffusion model of microscope imaging according to the images; collecting a blurred image of an observation sample by using the microscope, then segmenting the blurred image into different image blocks according to the surface depth change condition of the sample, and solving an optical transfer function corresponding to each blurred image block according to a three-dimensional energy diffusion model; and after deblurring the blurred image blocks by using an optical transfer function, Fourier transform and inverse Fourier transform, splicing the deblurred image blocks with different depths and the substrate image to obtain a clear image of the sample. The method is simple and easy to use, global clear observation of large-size target features in high-power optical observation can be realized, and a real-time effect can be achieved.

Description

technical field [0001] The invention relates to a method for deblurring optical images, in particular to a method for deblurring large-size sample images under a high-power optical microscope. Background technique [0002] High-power optical microscopes have the characteristics of small depth of field and easy blurring of images, and are very sensitive to changes in the depth of the sample to be observed along the optical axis of the camera. When observing a large-sized sample, the depth change value of the sample surface along the optical axis of the camera is greater than the depth of field of the camera. According to the principle of convex lens imaging, only the part of the sample surface located at the focal plane of the camera can form a clear image, and the part located outside the focal plane is imaged. vague. At this time, changing the distance between the sample and the camera can achieve alternate and clear images of positions at different depths on the sample su...

AI Technical Summary

Problems solved by technology

However, the above two methods generally assume that the sample surface in the image is at the same depth, or that the depth variation of the sample surface in the image is negligible compared with the camera depth of field

When dealing with large-scale and / or multi-sample optical images in practical applications, the change of the depth value of the sample surface is often complex and continuous, and the change value is greater than the depth of field of the camera, which makes it difficult for the existing deblurring methods to estimate the depth of the entire image. Optical energy diffusion parameter value, it is inevitable to lose sight of one and lose another when deblurring, which seriously affects the accuracy of the global image after deblurring

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