Research progress on ultra-small self-focusing optical fiber probe
doi: 10.3788/CO.20181106.0875
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摘要: 梯度折射率（Gradient-index，GRIN）光纤探头是一种全光纤型超小光学镜头，在心血管等狭小空间组织内窥影像检测中具有广阔的应用前景。但其发展一直缺少系统的理论体系。本文讨论探头设计、制作和性能测试等方面的关键问题。基于GRIN光纤探头聚焦性能的特征参数，对解析设计方法与数值仿真设计方法进行比较分析。针对超小GRIN光纤探头的制作难题，研究一种光纤熔接和切割的高精度一体化集成装置，描述GRIN光纤探头的制作方法。此外，分析了超小GRIN光纤探头聚焦性能检测的方法及装置。本文为超小GRIN光纤探头的设计、制作及性能测试提供了一个方法体系。Abstract: Gradient-index(GRIN) fiber probe is an all-fiber ultra-small optical lens, which has broad application prospects in endoscopic image detection in small spatial tissues such as cardiovascular. However, its development lacks a systematic theoretical system. This paper discusses the key issues of the design, fabrication and performance testing methods of the probe. Based on the characteristics parameters of GRIN fiber probe, comparative analysis is conducted between the analytical method and numerical simulation methods. An integrated high precision optical fiber welding and cutting device is presented for the fabrication of ultra-small GRIN optical fiber probe. In addition, the method and device for detecting the focusing performance of ultra-small GRIN fiber probe are analyzed. As a result, a system method for design, fabrication and performance testing is provided for the research of GRIN fiber probes.
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Figure 9. Schematic diagram of the focusing performance measurement of the GRIN fiber probe
Table 1. Preset length and the measured length of probe components
Group NCF length/mm GRIN fiber lens length/mm Preset length 1 0 0.360 2 0 0.410 3 0.160 0.200 4 0.240 0.140 5 0.360 0.110 6 0.300 0.150 Measured length 1 0 0.356 2 0 0.407 3 0.164 0.200 4 0.242 0.141 5 0.356 0.108 6 0.300 0.146 
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Table 2. Properties comparison between the testing values and the simulating data
Types Samples NCF/mm GRIN fiber lens/mm Working distance/mm Spot size/μm Experimental 1 0.36 0.10 0.75 31 results[9-10] 2 0.36 0.11 0.60 29 3 0.36 0.12 0.50 26 Analytical calculation 1 0.36 0.10 0.75 32.4 results 2 0.36 0.11 0.63 23.7 3 0.36 0.12 0.51 18.4 Numerical calculation 1 0.36 0.10 0.73 33 results using GLAD 2 0.36 0.11 0.64 28 3 0.36 0.12 0.52 25 Numerical calculation 1 0.36 0.10 0.75 32 results using Virtual Lab 2 0.36 0.11 0.63 24 3 0.36 0.12 0.51 19
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