High-quality multi-wavelength lensfree microscopy based on nonlinear optimization. (February 2021)

• Record Type: Journal Article
• Authors: Guo, Cheng; Zhang, Feilong; Geng, Yong; Kan, Xingchi; Tan, Jiubin; Liu, Shutian; Liu, Zhengjun
• Is Part Of: Optics and lasers in engineering. Volume 137(2021)
• Publication Date: 2021-02
• Subjects: Image reconstruction techniques -- Phase retrieval -- Computational imaging; Lasers in engineering -- Periodicals; Optical measurements -- Periodicals; Optics -- Periodicals; Lasers en ingénierie -- Périodiques; Mesures optiques -- Périodiques; Optique -- Périodiques; 621.36605
• DOI: 10.1016/j.optlaseng.2020.106402
• Languages: English
• ISSNs: 0143-8166

Abstract

Highlights: A white LED and three ultra-narrow spectral filters (FWHM=1±0.2 nm) is used to form a multi-wavelength lensfree microscope. A multi-wavelength phase retrieval algorithm based on total variation prior is proposed to improve the imaging quality and enhance the signal-to-noise ratio. The experimental results of resolution target, stained human goblet cell, and label-free microglia cell demonstrate the superiority of our method. Abstract: In multi-wavelength lensfree microscopy (MWLM), a laser source is usually replaced with a light-emitting diode for a low-cost and portable configuration. However, the trade-off between noise suppression and resolution enhancement puts a challenging issue for high-quality imaging. Here we propose a noise-robust multi-wavelength phase retrieval to increase the stability of MWLM. To solve the inverse problem of phase retrieval, we derive an optimization procedure to iteratively minimize the data fidelity and impose a total variation term for noise suppression. The experimental results of resolution target, stained human goblet cell, and label-free microglia cell demonstrate that our method could hold a better noise tolerance without the loss of imaging resolution. We believe that our method will become a powerful tool for a resources-limited scene.