Computer processing and visualization of confocal microscopy images

The methodology was proposed for image processing and interactive visualization of confocal microscopy images.Firstly,an intensity compensation algorithm was applied to reduce noises resulted from light absorption and scattering by objects and particles in the volume through which light passes.Secondly,a deconvolution algorithm based on maximum a posteriori was applied to improve the image stacks quality.At last,the ray-casting algorithm was used to reconstruct the fine details in the volume.Furthermore,virtual reality technique was integrated with volume rendering in order to provide users an intuitive interface to view the cells and its structures through translation,rotation and zoom operations.The speed and versatility of the program allows for convenient,fast,interactive examination of unknown cell structures even on common PC.The program can be applied for different types of confocal microscopy data sets with good results.