Single and two-shot quantitative phase imaging using Hilbert-Huang Transform based fringe pattern analysis
Maciej Trusiak , Mico Vicente , Krzysztof Patorski , Garcia Javier-Monreal , Łukasz Służewski , Ferreira Carlos
AbstractIn 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.
|Pages||99600D-1 - 99600D-10|
|Publication size in sheets||0.5|
|Book||Creath Katherine, Burke Jan, Albertazzi Gonçalves Armando: Interferometry XVIII, Proceedings of SPIE: The International Society for Optical Engineering, vol. 9960, 2016, SPIE - The International Society for Optics and Photonics, ISBN 9781510603110|
|Keywords in English||Digital Holographic Microscopy, Quantitative Phase Imaging, Fringe analysis, Hilbert spiral transform, Hilbert-Huang transform, Gram-Schmidt orthonormalization, phase demodulation|
|Publication indicators||= 2; = 1; = 2.0; : 2016 = 0.425|
|Citation count*||2 (2020-09-23)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.