Single and two-shot quantitative phase imaging using Hilbert-Huang Transform based fringe pattern analysis

Maciej Trusiak; Vicente Micó; Krzysztof Patorski; Javier García-Monreal; Lukasz Sluzewski; Carlos Ferreira

doi:10.1117/12.2236935

28 August 2016 Single and two-shot quantitative phase imaging using Hilbert-Huang Transform based fringe pattern analysis

Maciej Trusiak, Vicente Micó, Krzysztof Patorski, Javier García-Monreal, Lukasz Sluzewski, Carlos Ferreira

Author Affiliations +

Proceedings Volume 9960, Interferometry XVIII; 99600D (2016) https://doi.org/10.1117/12.2236935
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States

Abstract

In this contribution we propose two Hilbert-Huang Transform based algorithms for fast and accurate single-shot and two-shot quantitative phase imaging applicable in both on-axis and off-axis configurations. In the first scheme a single fringe pattern containing information about biological phase-sample under study is adaptively pre-filtered using empirical mode decomposition based approach. Further it is phase demodulated by the Hilbert Spiral Transform aided by the Principal Component Analysis for the local fringe orientation estimation. Orientation calculation enables closed fringes efficient analysis and can be avoided using arbitrary phase-shifted two-shot Gram-Schmidt Orthonormalization scheme aided by Hilbert-Huang Transform pre-filtering. This two-shot approach is a trade-off between single-frame and temporal phase shifting demodulation. Robustness of the proposed techniques is corroborated using experimental digital holographic microscopy studies of polystyrene micro-beads and red blood cells. Both algorithms compare favorably with the temporal phase shifting scheme which is used as a reference method.

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Citation Download Citation

Maciej Trusiak, Vicente Micó, Krzysztof Patorski, Javier García-Monreal, Lukasz Sluzewski, and Carlos Ferreira "Single and two-shot quantitative phase imaging using Hilbert-Huang Transform based fringe pattern analysis", Proc. SPIE 9960, Interferometry XVIII, 99600D (28 August 2016); https://doi.org/10.1117/12.2236935

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