  White light phase-shifting interference microscopy (WL-PSIM) is a prominent
technique for high-resolution quantitative phase imaging (QPI) of industrial
and biological specimens. However, multiple interferograms with accurate
phase-shifts are essentially required in WL-PSIM for measuring the accurate
phase of the object. Here, we present single-shot phase-shifting
interferometric techniques for accurate phase measurement using filtered white
light phase-shifting interference microscopy (F-WL-PSIM) and deep neural
network (DNN). The methods are incorporated by training the DNN to generate 1)
four phase-shifted frames and 2) direct phase from a single interferogram. The
training of network is performed on two different samples i.e., optical
waveguide and MG63 osteosarcoma cells. Further, performance of F-WL-PSIM+DNN
framework is validated by comparing the phase map extracted from network
generated and experimentally recorded interferograms. The current approach can
further strengthen QPI techniques for high-resolution phase recovery using a
single frame for different biomedical applications.
