White light phase-shifting interferometry using deep learning-based phase-shifter

Sunil Bhatt; Ankit Butola; Pramila Thapa; Dalip Singh Mehta

doi:10.1117/12.2671709

9 August 2023 White light phase-shifting interferometry using deep learning-based phase-shifter

Sunil Bhatt, Ankit Butola, Pramila Thapa, Dalip Singh Mehta

Proceedings Volume 12630, Advances in Microscopic Imaging IV; 126300W (2023) https://doi.org/10.1117/12.2671709
Event: European Conferences on Biomedical Optics, 2023, Munich, Germany

Abstract

White light phase shifting is an important technique in interferometry to extract the high-resolution quantitative phase images with high spatial phase sensitivity i.e., of the order of sub nanometer. The dynamical information about a biological sample is limited in white light phase-shifting interferometry (WL-PSI) due to multiple frame requirement. The multiple frame requirement with controlled phase-shift is the key limitation for the high-resolution phase information extraction about the sample. A high-cost piezoelectric transducer (PZT) is required to introduce equal phase-shifts between the frames in WL-PSI. Here, we introduce a deep learning (DL)-based phase-shifter instead of PZT to introduce equal phase-shift in WL-PSI. We use deep neural network to introduce the equal phase-shift between the data frames. The idea is to train the network with multiple equal phase-shifted frames for training and learn the basic application of a PZT. After sufficient training of the network, it will generate multiple phase-shifted frames. Our study is validated by simulating step-like object with equal phase-shifts for training and testing of the network. The network is trained for a total 4 phase-shifted frame generation from a single interferogram. Further, the line profile of DL-based phase-shifter generated data frames are compared with the line profile of simulated data frames. Finally, generated phase-shifted data frames are used for the final phase reconstruction of the sample and compared with the phase reconstruction from simulated data frames.

Citation Download Citation

Sunil Bhatt, Ankit Butola, Pramila Thapa, and Dalip Singh Mehta "White light phase-shifting interferometry using deep learning-based phase-shifter", Proc. SPIE 12630, Advances in Microscopic Imaging IV, 126300W (9 August 2023); https://doi.org/10.1117/12.2671709

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KEYWORDS

Education and training

Phase interferometry

Biological samples

Ferroelectric materials

Phase reconstruction

Interferograms

Neural networks

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