Lensfree super-resolved imaging based on adaptive Wiener filter and guided phase retrieval algorithm. (23rd April 2020)

• Record Type: Journal Article
• Authors: Guo, Cheng; Zhang, Feilong; Zhang, Xiaoqing; Kan, Xingchi; Tan, Jiubin; Liu, Shutian; Liu, Zhengjun
• Is Part Of: Journal of optics. Volume 22:Number 5(2020)
• Publication Date: 2020-04-23
• Subjects: image reconstruction techniques -- phase retrieval -- computational imaging; Optics -- Periodicals; 535.05
• DOI: 10.1088/2040-8986/ab8287
• Languages: English
• ISSNs: 2040-8978

Abstract

Abstract: We present a data-efficient framework to achieve a super-resolved reconstruction in lensfree on-chip microscopy. Instead of using conventional 3D-stack holograms, our method accomplishes a 5 × reduction of data size without the loss of the imaging resolution, in which merely 30 raw holograms are recorded. The experiment of the resolution target demonstrates a half-pitch lateral resolution of 780 nm across a large field-of-view (FOV) of 28.6 mm 2 . For the view of H&E stained intestine pathology slide, our method shows an equivalent resolution but a 20-fold expansion of FOV in comparison with a 10 × commercial wide-field microscope. This work will be a useful tool for the miniaturization of whole slide pathological microscopy.