Abstract
A simple and efficient morphological reconstruction method for biological cells based on quantitative phase microscopy is presented in this paper. Gradient algorithm is applied to determine the boundary of different parts of a sample and the boundary points are extracted to reconstruct the subsurface of the sample. A neuronal model is investigated by simulation to demonstrate the efficiency of this method. And the surface morphology of a polystyrene microsphere as well as a red blood cell is reconstructed by this method based on optical experiments. The results agree well with expectations. It indicates that the method could apply to real-time identification of living cells with an obvious advantage of noninvasiveness and label free.
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