Differential phase contrast (DPC) imaging is a non-interferometric, label-free and efficient quantitative phase imaging method based on partially coherent illumination modulation, of which the two widely used forms are the method based on the slow-variable-object approximation solved by the phase gradient transfer function (PGTF) and the method based on the weak-object approximation solved by the phase transfer function (PTF). Both methods can recover the phase well under their respective approximations, but for phase recovery of certain complex phase objects in reality, they are lackluster due to the limitations imposed by their use of approximations. To break this limitation, a spectral fusion method is proposed in this paper, which can take into account the low-frequency generalization and high-frequency details of phase objects and achieve efficient and accurate quantitative phase imaging by effectively merging the phases reconstructed by PTF and PGTF in the frequency domain on the basis of optimized illumination. Relevant simulations and experiments demonstrate the effectiveness of the method.
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