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Published on: November 10, 2017
Core-shell NaErF4@NaYF4 upconversion nanoparticles qualify as a NIR speckle wavemeter for a visible CCD
Tianliang Wang1, Yi Li1, Long Yan2
1College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China. yli@cjlu.edu.cn.
This study introduces a compact, low-cost near-infrared (NIR) wavemeter using a novel scattering waveguide and a convolutional neural network (CNN). The device achieves ultra-high wavelength precision for laser measurements.
Area of Science:
- Optics and Photonics
- Materials Science
- Machine Learning
Background:
- Speckle patterns are used for precise monochromatic light wavelength determination.
- Existing optical diffusing waveguides face challenges in balancing cost, compactness, precision, and stability.
Purpose of the Study:
- To design a compact, cost-effective, and high-precision near-infrared (NIR) wavemeter.
- To overcome the imaging limitations of visible cameras in the NIR range.
Main Methods:
- Developed a compact cylindrical random scattering waveguide (CRSW) using TiO2 particles and UV adhesive.
- Integrated upconversion nanoparticles (UCNPs) to convert NIR to visible light.
- Designed a convolution neural network (CNN) for wavelength recognition from speckle patterns.
Main Results:
- Achieved high wavelength precision of 20 kHz (∼0.16 fm) at 1550 nm.
- Demonstrated good temperature stability with resistance to ±2 °C.
- The CRSW-UCNP system effectively converts NIR to visible light for imaging.
Conclusions:
- The developed NIR wavemeter is low-cost, compact, and simple.
- It offers ultra-high wavelength precision and good temperature stability.
- Significant potential for high-speed and high-precision laser wavelength measurements.
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