Non-Interferometric Phase Imaging Method Based on Synthetic Phase Transfer Function

Abstract

The invention discloses a non-interferometric phase imaging method based on a blending phase transfer function. The method comprises the following steps: firstly shooting a group of light intensity images of an object at an optical axis direction of different depths with exponent interval distribution by a camera, then assuming that the object has a weak absorption and a weak phase, solving an initial phase diagram according to the blending phase transfer function, and finally substituting the initial phase diagram into a blending phase transfer function iterative compensation algorithm to solve an accurate phase diagram. The method is advantageous in that quantity of light intensity images needed for recovering phase is reduced, data acquisition time is reduced, the phase distribution of the object can be accurately recovered, and phase information of objects with weak absorption and weak phases as well as objects with strong absorption and large phases can be accurately established.

Description

technical field [0001] The invention belongs to optical imaging technology, in particular to a non-interference phase imaging method based on synthetic phase transfer function. Background technique [0002] For nearly transparent objects such as biological cells, phase information is very important. However, the phase information of an object cannot be directly captured by a camera. Therefore, in recent years, quantitative phase measurement has become a hot spot for researchers at home and abroad in the fields of surface detection, optical components, and biological cell microscopic imaging. At present, many methods of phase recovery have been developed, such as digital holography, phase shift interferometry, light intensity iterative method, light intensity transmission equation method, synthetic aperture scanning method and so on. Among these quantitative phase imaging methods, the light intensity transfer equation method has gained widespread attention due to its advanta...

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Problems solved by technology

Since then, Falaggis et al. proposed the optimal sampling interval selection method to select these non-equally spaced sampling plane positions (literature [4] K.Falaggis, T.Kozacki, and M.Kujawinska, "Optimum plane selection criteria for single-beamphase retrieval techniques based on the contrast transfer function."Opt.Lett.39,30–33(2014).), but this method must accurately select the optimal sampling under the premise of knowing the signal-to-noise ratio of the collected light intensity image interval, which is difficult to predict in practice

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