Digital field of view correction combined dual-view transport of intensity equation method for real-time quantitative imaging

Measurements on ATP induced cellular fluctuations using real-time dual view transport of intensity phase microscopy

“…Via computing the cross power spectrum in frequency domain, the rotation, scale and translation between the simultaneously captured multi-focal images can be accurately determined; and even two images are not captured in the same focal plane, the adopted phase correlation based digital FoV correction method can still provide high-accurate FoV correction. The phase correlation based digital FoV correction method was both proved by numerical simulations and practical experiments in our previous work [53]. Additionally, in our experiments, 3-mm brass spacer rings were used to simultaneously obtain the multi-focal images, therefore, the focal distance between the simultaneously captured multi-focal images was 3 mm.…”

“…1(B), which could hardly be corrected by manually adjusting CMOS cameras. In order to solve the problem, we designed the phase correlation based digital FoV correction method [53] to recognize and compensate the FoV mismatch. Via computing the cross power spectrum in frequency domain, the rotation, scale and translation between the simultaneously captured multi-focal images can be accurately determined; and even two images are not captured in the same focal plane, the adopted phase correlation based digital FoV correction method can still provide high-accurate FoV correction.…”

“…first, both under-and over-focus images can be simultaneously captured by setting two identical image recorders on the binocular of the commercial microscope. Then after FoV correction on these simultaneously captured multi-focal images and in-focus plane determination [53], the in-focus image can be approximated to the average of under-and over-focus images [54,55]. Finally, the phase can be extracted from multi-focal images by solving the Poisson equation.…”