Pixel super-resolution phase retrieval algorithms for digital holography

Liangcai Cao; Yunhui Gao

doi:10.1117/12.2655511

16 March 2023 Pixel super-resolution phase retrieval algorithms for digital holography

Liangcai Cao, Yunhui Gao

Proceedings Volume 12389, Quantitative Phase Imaging IX; 1238905 (2023) https://doi.org/10.1117/12.2655511
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

The imaging quality of in-line digital holography is challenged by the twin-image and aliasing effects because sensors only respond to intensity and pixels are of finite size. As a result, phase retrieval and pixel superresolution techniques serve as the two essential ingredients for high-fidelity holographic imaging. In this work, we combine the two within a unified algorithmic framework. Pixel super-resolution phase retrieval is recast as an optimization problem and is solved via gradient descent-based algorithms. Regularization techniques and Nesterov’s momentum are introduced to further speed up data acquisition and iterative reconstruction. The proposed algorithms are verified through a proof-of-concept lensless on-chip microscope. We demonstrate experimentally the capability of pixel super-resolution phase retrieval techniques in revealing the subpixel and quantitative phase information of complex biological samples.

Conference Presentation

Citation Download Citation

Liangcai Cao and Yunhui Gao "Pixel super-resolution phase retrieval algorithms for digital holography", Proc. SPIE 12389, Quantitative Phase Imaging IX, 1238905 (16 March 2023); https://doi.org/10.1117/12.2655511

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