Presentation + Paper
16 March 2023 High-throughput quantitative phase imaging via compressive phase retrieval
Author Affiliations +
Proceedings Volume 12389, Quantitative Phase Imaging IX; 123890C (2023) https://doi.org/10.1117/12.2655445
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
Existing quantitative phase imaging (QPI) techniques are faced with an inherent trade-off between phase imaging fidelity and temporal resolution. Here, we propose a general algorithmic framework for QPI reconstruction that enables frame-rate-limited holographic imaging. It takes an inverse problem approach by formulating phase retrieval as a nonsmooth nonconvex optimization problem. Efficient solvers for the problem are derived whose algorithmic behaviors have been studied from both theoretical and experimental perspectives. The proposed framework is applicable to various existing holographic imaging configurations, and makes it possible to incorporate advanced image priors for quality enhancement.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yunhui Gao and Liangcai Cao "High-throughput quantitative phase imaging via compressive phase retrieval", Proc. SPIE 12389, Quantitative Phase Imaging IX, 123890C (16 March 2023); https://doi.org/10.1117/12.2655445
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KEYWORDS
Phase retrieval

Phase imaging

Holography

Imaging systems

Inverse problems

Mathematical optimization

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