Enhancing imaging contrast via weighted feedback for iterative multi-image phase retrieval

Cheng Guo; Qiang Li; Xiaoqing Zhang; JiuBin Tan; Shutian Liu; Zhengjun Liu

doi:10.1117/1.JBO.23.1.016015

Abstract

Iterative phase retrieval (IPR) has developed into a feasible and simple computational method to retrieve a complex-valued sample. Due to coherent illumination, the reconstructed image quality is degraded by speckle noise arising from a laser. Accordingly, partially coherent illumination has been introduced to alleviate this restriction. We apply weighted feedback modality into multidistance and multiwavelength phase retrieval to realize high-contrast and fast imaging. In simulation, it is proved that IPR based on weighted feedback accelerates the convergence in partially coherent illumination and speckle illumination. In experiment, the resolution chart and biological specimen are reconstructed in lensless and lens-based systems, which also demonstrate the performance of weighted feedback. This work provides a simple and high-contrast imaging modality for IPR. Also, it facilitates compact and flexible experimental implementation for label-free imaging.

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Cheng Guo, Cheng Guo, Qiang Li, Qiang Li, Xiaoqing Zhang, Xiaoqing Zhang, JiuBin Tan, JiuBin Tan, Shutian Liu, Shutian Liu, Zhengjun Liu, Zhengjun Liu, } "Enhancing imaging contrast via weighted feedback for iterative multi-image phase retrieval," Journal of Biomedical Optics 23(1), 016015 (31 January 2018). https://doi.org/10.1117/1.JBO.23.1.016015 . Submission: Received: 29 September 2017; Accepted: 10 January 2018

Received: 29 September 2017; Accepted: 10 January 2018; Published: 31 January 2018

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