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Projected refractive index framework for multi-wavelength phase retrieval

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Abstract

Multi-wavelength phase retrieval provides a competitive solution to lensless holographic imaging that features a low-cost, compact design and high data acquisition speed. However, the existence of phase wraps poses a unique challenge for iterative reconstruction, and the resulting algorithms often suffer from limited generalizability and increased computational complexity. Here, we propose a projected refractive index framework for multi-wavelength phase retrieval that directly recovers the amplitude and unwrapped phase of the object. General assumptions are linearized and integrated into the forward model. Based on an inverse problem formulation, physical constraints and sparsity priors are incorporated, which ensures imaging quality under noisy measurements. We experimentally demonstrate high-quality quantitative phase imaging on a lensless on-chip holographic imaging system using three color LEDs.

© 2022 Optica Publishing Group

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Supplementary Material (3)

NameDescription
Supplement 1       Supplemental Document
Visualization 1       Reconstruction process of simulated virtual objects using the conventional algorithm based on the transmission model and the proposed refractive framework.
Visualization 2       Reconstruction process of experimental data using the conventional algorithm based on the transmission model and the proposed refractive framework.

Data availability

Data and code underlying the results presented in this paper are available in Ref. [29].

29. Y. Gao and L. Cao, “Projected refractive index framework for phase retrieval,” https://github.com/THUHoloLab/refractive-phase-retrieval.

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Figures (5)

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Equations (10)

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