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Projected refractive index framework for multi-wavelength phase retrieval.

Yunhui Gao, Liangcai Cao

|May 23, 2023

Summary

This summary is machine-generated.

This study introduces a new projected refractive index framework to overcome phase wrapping challenges in multi-wavelength phase retrieval for lensless holographic imaging. The method achieves high-quality, unwrapped phase imaging with improved accuracy and efficiency.

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Area of Science:

Optics and Photonics
Image Reconstruction
Computational Imaging

Background:

Multi-wavelength phase retrieval offers a low-cost, high-speed alternative for lensless holographic imaging.
Phase wrapping in iterative reconstruction algorithms presents significant challenges, limiting generalizability and increasing computational load.

Purpose of the Study:

To develop a novel framework for multi-wavelength phase retrieval that directly recovers unwrapped phase and amplitude.
To address the limitations of existing iterative reconstruction methods, particularly phase wrapping issues.

Main Methods:

Proposed a projected refractive index framework integrating linearized general assumptions into the forward model.
Employed an inverse problem formulation incorporating physical constraints and sparsity priors for robust imaging.
Utilized a lensless on-chip holographic imaging system with three-color LEDs for experimental validation.

Main Results:

Successfully demonstrated high-quality quantitative phase imaging.
The projected refractive index framework effectively recovered unwrapped phase and amplitude, overcoming phase wrapping artifacts.
The method ensured imaging quality even under noisy measurement conditions.

Conclusions:

The projected refractive index framework provides a powerful solution for multi-wavelength phase retrieval in lensless imaging.
This approach enhances imaging quality and computational efficiency compared to traditional iterative methods.
Experimental results validate the framework's effectiveness for quantitative phase imaging applications.