Image Analysis And 3D Reconstruction For Image Stacks Of Laser Scanning Confocal Microscopy

Laser scanning confocal microscopy plays an important role day by day for the research of biomedicine and materials science. It provides detection means which is non-invasive and no injuries. So LSCM gets welcomed for a lot of aspects and used flexibly in many research fields wider and wider. Numerous analysis and research can get made at the cells level in medicine. The morphometric parameters of the cells and fluorescence intensity can be analyzed through the 3D reconstruction of"optical biopsy"images which are got after scanning the organic tissues.3D models can be built at last after the research of image interpolation, image recovery and reconstruction. Usually in medicine image stacks, the size of a pixel within an image is much less than the spacing between the planes defined by the slices. They have to get the same resolution, which is called isotropic in three dimensions before which are used to reconstruct. The interpolation method is used, by which the shapes on the interpolated slices and their original adjacent slices change progressively and naturally and the algorithm can be implemented reliably too. For the noise produced in image stacks of LSCM, an adaptive brightness-compensation method is used to recover the images. The practice proves that the method can efficiently improve brightness continuity and visual quality. So more information can got from the images. Then, 2D Fourier analysis is provided to detect the result images obtained by process as above. Based on the analysis and process, 3D reconstruction results of stacks for in-vivo skin and neural tuber are given. At last, perspective plan of next period is given.