Phase extraction is a key step in phase imaging. The accuracy and speed of phase recovery directly affect the quality and efficiency of phase imaging. In this paper, a statistical average method for phase retrieval is proposed by combining the two-step phase-shifting interference with the characteristics of diffractive phase field. The main operations of this method are subtraction and statistical average. The simulation results of a sphere show the feasibility and high accuracy of the method. And the simulation results of a red blood cell and a white blood cell discuss the application of this method in biological imaging.
Quantitative phase imaging technology has become an important technology for imaging phase objects such as cells in virtue of the advantages of non-destructive, non-invasive and high accuracy. More importantly, the phase of a cell is closely related to its internal structure and component. In this paper, according to the morphological and optical characteristics of typical leukocytes, the approximate models of different kinds of cells were firstly established to obtain the corresponding phases. Then, digital image edge operators such as gradient, gradient module and Laplace were used to detect the phase maps. Subsequently with the phase detection images of the cell, its feature information, such as the morphology and the refractive index change can be analyzed. Simulation results suggested that the edge operators are sensitive to the morphology, the interface of each medium and component of the cell. Therefore, the edge detection method of phase image can be used for cell’s classification recognition and preliminary determination of internal structure
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