研究目的
Investigating the ability to retrieve image data through hair-thin optical fibers and overcoming the challenges posed by mechanical deformation and temperature changes that scramble optical information.
研究成果
The study demonstrates a new approach for determining the TM of multimode or multicore optical fibers without requiring access to the distal facet, using a reflection-mode configuration with structured metasurface reflectors. This method paves the way for online TM calibration in situ in hair-thin optical fibers, enabling new applications in biomedical imaging and industrial inspection.
研究不足
The method requires the fiber TM to be invertible but not necessarily unitary, making it applicable to lossy fibers or general scattering media. However, the spectral bandwidth of typical imaging fibers limits the wavelength modulation range, and the method's speed of operation is determined by experimental TM characterization, computational TM recovery, and image retrieval times.
1:Experimental Design and Method Selection:
The study introduces a new approach to determine the transmission matrix (TM) of multimode or multicore optical fibers in a reflection-mode configuration, using a thin stack of structured metasurface reflectors at the distal facet of the fiber.
2:Sample Selection and Data Sources:
The method is demonstrated using simulated nonunitary fibers and noisy reflection matrices, experimentally measured TMs of a densely packed multicore fiber (MCF), and experimentally measured multiwavelength TMs recorded from a step-index multimode fiber (MMF).
3:List of Experimental Equipment and Materials:
The study utilizes optical fibers, structured metasurface reflectors, and a tunable laser source for wavelength modulation.
4:Experimental Procedures and Operational Workflow:
The process involves projecting calibration patterns onto the fiber proximal facet at three different wavelengths to activate different reflectors and measure the amplitude, phase, and polarization of reflected light.
5:Data Analysis Methods:
An iterative optimization algorithm is used to reconstruct the full TM from the reflected data at three wavelengths.
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