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arXiv · 2010.07768

High-resolution single-shot phase-shifting interference microscopy using deep neural network for quantitative phase imaging of biological samples

Sunil Bhatt·Ankit Butola·Sheetal Raosaheb Kanade·Anand Kumar·Dalip Singh Mehta
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Abstract

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.

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Sunil Bhatt, Ankit Butola, Sheetal Raosaheb Kanade, Anand Kumar, Dalip Singh Mehta. 2020-10-14. High-resolution single-shot phase-shifting interference microscopy using deep neural network for quantitative phase imaging of biological samples. https://doi.org/10.1002/jbio.202000473

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