Document Type
Thesis
Date of Award
5-31-2022
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical and Computer Engineering
First Advisor
Xuan Liu
Second Advisor
Dong Kyun Ko
Third Advisor
Yuanwei Zhang
Abstract
Phase wrapping artifacts are frequently encountered in phase resolved imaging and sensing techniques based on interferometry. When the value of the actual phase (φ) ranges beyond (-π, π], the extracted phase value (wrapped phase Ψ) is artificially increased or decreased by a multiple of 2π.
In this study, we develop a 3D phase unwrapping method that exploits the correlation of 3D phase data (φ(x,y,t)) over the other dimension (t). We validate our 3D unwrapping method using simulated data, as well as experimental data obtained by optically computed phase microscopy (OCPM) recently developed in our lab. Our results show that the 3D phase unwrapping method achieves accurate and robust reconstruction of phase φ(x,y,t). The application of the 3D phase unwrapping method is not limited to OCPM. Instead, it is a generic approach that can be used for other phase imaging modalities.
Recommended Citation
Gunasekar, ArunKumar, "Quantitative dynamic cellular imaging based on 3d unwrapped optical coherence phase microscopy" (2022). Theses. 1997.
https://digitalcommons.njit.edu/theses/1997
