Three-dimensional Reconstruction Of Fluorescence Images And Quenching For Biological Cell

The three-dimensional reconstruction technology in the field of biomedicine is an important application of computer graphics and digital image processing in the field of biomedicine,and it is also one of the research hotspots today.It is a technique for recovering spatial three-dimensional structural information by using known two-dimensional plane information,and is widely used in the fields of cell morphology,biodynamics,and auxiliary medicine.Compared with the two-dimensional plane,the three-dimensional space contains more information and can be accepted more intuitively and comprehensively.The three-dimensional imaging of cells is benefit to observe the better activity of various organelles in living cells.At the same time,it can also detect the changes of various tissues in cells through immediate monitoring of living cells.Since the cells are extremely small and difficult to measure,high-precision image restoration and error compensation methods are needed to accurately reconstruct the three-dimensional shape of the cells.Therefore,the research on the three-dimensional reconstruction of biological cells is of great significance and practical value.In this paper,a laser confocal microscope is used to acquire the tomographic image of the cell by scanning,and then the digital image processing technology is used to realize the three-dimensional reconstruction of the cell.Firstly,by comparing the traditional image preprocessing method with the partial differential equation denoising algorithm,the results show that the fourth-order directional differential algorithm has better denoising effect and applicability when dealing with cell tomographic images.Then,the image threshold segmentation and watershed segmentation method are studied,and the algorithm combining thick and thin segmentation is proposed,which is to use the segmentation algorithm for the pre-processed cell image,and then perform the algorithm of fine edge segmentation,which effectively preserves the cells and organelles.Edge information for good image segmentation.Finally,using the morphological interpolation algorithm,the three-dim-ensional reconstruction of the cells is completed by filling the interpolation layer with the labeling of the pixel direction combined with the morphological expansion and corrosion operation.During the experiment,it was found that the fluorescence quenching has a certain influence on the fluorescence intensity of the two-dimensional tomographic image,which reduces the accuracy of the three-dimensional reconstruction.Therefore,the quenching of the fluorescent probe at different temperatures is studied and drawn.The quenching characteristic curve is obtained,and the actual gray level of the tomographic image is compensated to the initial gray level level according to the curve,and then the three-dimensional reconstruction is performed.This improves the accuracy of three-dimensional reconstruction of cells and contributes to the visualization of the three-dimensional structure of cells.