Accurate three-dimensional cell morphology recovery method based on depth change point spread function

Abstract

The invention discloses an accurate three-dimensional cell morphology recovery method based on a depth change point spread function, and aims to solve the problem of low accuracy of constructed cell models caused by inconsistency of actual scanning step length and a preset value and reduction of image quality in an imaging process of a laser scanning confocal microscope. A ray tracing method is used to calculate and obtain an actual scanning step length, point spread functions of a detection plane under different detection depths are calculated layer by layer according to the actual scanning step length, and the point spread functions of different detection depths are used to carry out deconvolution operation on cell layers of corresponding depths so as to improve the quality of an original image. The accuracy of cell construction is improved in the image plane direction, the images after deconvolution are spatially spliced according to the actual scanning step length, and the accuracy of cell construction is improved in the scanning stepping direction. According to the method, a more accurate three-dimensional cell morphological model can be constructed, so that the method is applied to the field of biomedical research and has very important theoretical significance and practical application value.

Description

technical field [0001] The invention belongs to the research field of label-free cell detection three-dimensional shape modeling, and relates to a cell accurate three-dimensional shape restoration method based on a depth change point spread function. Background technique [0002] Cell light scattering is an important non-intrusive detection method. Light scattering is caused by the interaction of electromagnetic waves with the medium, and the scattered light carries a lot of information about the properties of the medium. The optical scattering information of cells not only contains the common characteristics of the same kind of cells, but also contains the individual characteristics of cells, and can accurately reflect the physical characteristics of biological cells in a non-intervention state, known as "cell fingerprint" information. [0003] The detection of human peripheral blood cells (circulating tumor cells, white blood cells, red blood cells, etc.) by means of fluo...

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Problems solved by technology

[0004] However, the commonly used method of constructing a three-dimensional cell model based on laser scanning confocal images, due to the fact that the light passes through the layered medium during the imaging process, aberrations, image quality degradation, and the actual scanning step length is inconsistent with the set value, etc., directly The cell model constructed by 3D mosaicing of the original images is inaccurate. Even if the existing blind deconvolution method is used, good results cannot be obtained, and effective cell physical matching properties, such as the matching properties of cell scattering and its structure, cannot be obtained.

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