Digital field-of-view correction for dual-view transport-of-intensity equation-based quantitative microscopy

As an ideal way for quantitative live cell imaging, dual view transport of intensity equation (TIE) method can provide both real time imaging, multi-mode observations, simple setup and large field of view (FoV). However, the image recorder installation error reduces the accuracy in both amplitude and phase retrievals, because of the inevitable FoV mismatch between the captured under-and over-focus intensities. In order to obtain higher accuracy amplitude and phase retrievals, the phase correlation based digital FoV correction is introduced into our method, rotation, scale and translation between the under-and over-focus images are compensated by the phase correlation based digital FoV correction. Measurements are implemented using standard sample detection and quantitative live cell imaging, proving that the proposed method can improve the accurate of the amplitude and phase computations.