Method for reconstructing cell dynamic characteristic three-dimensional image under biological microscope

Abstract

The invention provides a method for reconstructing a cell dynamic characteristic three-dimensional image under a biological microscope. The method comprises the following steps: 1, acquiring a reference image of an optical microscope; 2, debugging the optical axis of an optical microscope to a central line, preparing a cell sample, and shooting a cell microscopic image at regular time; and 3, carrying out three-dimensional reconstruction on the two shot qualified two-dimensional cell microscopic images. The implementation method of the step 3 specifically comprises the following steps: (1) dynamic target segmentation and position calculation; (2) constructing a disparity map; and (3) calculating a dynamic cell image by utilizing the three-dimensional characteristics. According to the method, a three-dimensional dynamic object segmentation method is used, the optical axis and correction of deviation are determined, and the 3D characteristics of cells are estimated by combining the disparity map and the 2D characteristics of the initial image, so that the three-dimensional image reconstruction of the dynamic characteristics of the cells is completed. According to the method, the actual value of the distance and the contour of the cell can be quickly determined, the values of all source information are reserved, and the dynamic problem analysis is effectively solved.

Description

technical field [0001] The invention belongs to the technical field of medical microscope image processing, and in particular relates to a method for reconstructing a three-dimensional image of dynamic characteristics of cells under a biological microscope. Background technique [0002] Cells are the basic unit of life, and the study of life needs to start with cells. Ordinary biological microscopy laboratories in colleges and universities can do cell research, but the workload of manual observation of cell number and shape is too large. Since the emergence of modern computers, computer image processing technology can be used to modify existing optical microscopy laboratories to realize The research of cells is automated, which also saves a lot of experimental funds and makes full use of existing laboratory resources. [0003] Blood cell morphology examination is an effective means of diagnosing diseases and one of the important contents of routine blood examination. In re...

AI Technical Summary

Problems solved by technology

Currently, the functions of the blood cell analyzers used in medical institutions in my country have yet to be improved, and the cells themselves also have diverse morphological characteristics. It may not be possible to conduct in-depth analysis of the specific structure and shape of the cells through instrument detection.

Therefore, it can be concluded that the analysis of patients' blood cell samples by means of instrumental detection alone cannot meet the goal of high-quality diagnosis. The results of manual microscope inspection can further improve the accuracy of diagnosis work, and the reconstructed image of the microscope can play a role at this time

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