High‐Speed All‐Fiber Micro‐Imaging with Large Depth of Field. Issue 9 (3rd July 2022)

• Record Type: Journal Article
• Authors: Wang, Lele; Yang, Yousi; Liu, Zhoutian; Tian, Jiading; Meng, Yuan; Qi, Tiancheng; He, Tiantian; Li, Dan; Yan, Ping; Gong, Mali; Liu, Qiang; Xiao, Qirong
• Is Part Of: Laser & photonics reviews. Volume 16:Issue 9(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-07-03
• Subjects: deep learning -- fiber imaging -- image reconstruction -- multimode fibers -- neural networks -- transmission matrices; Lasers -- Periodicals; Photonics -- Periodicals; Lasers -- Périodiques; Photonique -- Périodiques; 621.36
• DOI: 10.1002/lpor.202100724
• Languages: English
• ISSNs: 1863-8880

Abstract

Abstract: Single fiber imaging has evolved into a powerful method for detecting minute objects in narrow spaces. However, existing systems are not conducive to imaging dynamic objects at depth due to their bulky probes, time‐consuming scanning acquisition methods, and transmissive illumination mode. Minimally invasive reflection mode imaging with high spatial and temporal resolution remains an open challenge. Here, a precise and high‐speed imaging scheme without scanning is proposed. Multimode fiber imaging technology is incorporated into an all‐fiber aberration‐free precision detection system. High temporal resolution (5000 fps) detection of tiny natural scenes is experimentally realized by optimizing the approximation of the inverse transmission matrix in a simple and compact setup. The system can display the detected screen in real‐time and the computational imaging with a large depth of field (1 mm) is enabled by jointly learning. The recovery results are superior compared to typical deep neural networks. The demonstrated scheme offers a new possibility for many applications, for example, microendoscopy, all‐optical computing, and remote high‐speed video transmission. Abstract : A new scheme of all‐fiber micro‐imaging is demonstrated. The single multimode fiber‐based system can detect natural scenes and display them in real‐time. High temporal resolution (5000 fps) and a large depth of field (1 mm) are realized. The integrated illumination and detection probe have great potential for biological endoscopy applications.