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

被引:1
作者
Trusiak, Maciej [1 ]
Mico, Vicente [2 ]
Patorski, Krzysztof [1 ]
Garcia-Monreal, Javier [2 ]
Sluzewski, Lukasz [1 ]
Ferreira, Carlos [2 ]
机构
[1] Warsaw Univ Technol, Inst Micromech & Photon, 8 Sw A Boboli St, PL-02505 Warsaw, Poland
[2] Univ Valencia, Fac Fis, Dept Opt & Optometria & Ciencias Vis, C Doctor Moliner 50, E-46100 Burjassot, Spain
来源
INTERFEROMETRY XVIII | 2016年 / 9960卷
关键词
Digital Holographic Microscopy; Quantitative Phase Imaging; Fringe analysis; Hilbert spiral transform; Hilbert-Huang transform; Gram-Schmidt orthonormalization; phase demodulation; WINDOWED FOURIER-TRANSFORM; GRAM-SCHMIDT ORTHONORMALIZATION; DIGITAL HOLOGRAPHIC MICROSCOPY; NATURAL DEMODULATION; ZERO-ORDER; ALGORITHM; INTERFEROMETRY; EXTRACTION; TRACKING; VISUALIZATION;
D O I
10.1117/12.2236935
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
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.
引用
收藏
页数:10
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