Experimental instructional design based on disordered dispersion imaging spectrometers
[Objective]We explore the combination of new upconversion or downconversion light-emitting materials with imaging spectrometer devices to achieve hyperspectral imaging in a broad spectral range.We use the preparation and performance test of a disordered dispersion imaging spectrometer as an example.This approach has been applied to the practical teaching of"Optoelectronic devices and manufacture processes"for undergraduates majoring in material physics.Imaging spectrometers are known to simultaneously obtain two-dimensional(2D)imaging and spectra from each pixel of the 2D imaging.Nowadays,hyperspectral imaging technology is widely used in various fields such as military reconnaissance,atmospheric exploration,space remote sensing,general survey of earth resources,environmental monitoring,agriculture,and marine remote sensing.However,conventional imaging spectrometers are large and expensive.Furthermore,they normally cannot realize static measurement and high-resolution spectral imaging in a wide spectral range,which limits their applications,such as hyperspectral imaging and broadband biochemical detection.To overcome these limitations,we propose a novel disordered dispersion imaging spectrometer.This instrument offers significant advantages over existing instruments based on Fourier transform and grating dispersion,including size reduction,high space resolution,high spectral resolution,broad spectral range,low cost,and high reliability.The main aim of this paper is to design the key components of the disordered dispersion imaging spectrometer:a dispersion component,a conversion component,and a detection component.[Methods]The dispersion component uses disordered dispersive structures such as random nanoholes or nanoparticles to reduce the fabrication complexity and system size.The conversion component employs upconversion and downconversion materials to broaden the operation spectral range of the system to infrared(IR)and ultraviolet(UV)bands.The detection component utilizes imaging chips,such as CCD or CMOS,which have a large number of pixels.This contributes to increasing both the spatial and spectral resolution.Unlike previous spectrum reconstruction technologies,we use nonlinear optimization algorithms for ill-posed problems to solve matrix equations.The solution of each matrix equation corresponds to the spectrum of each pixel of the pending image being analyzed.In addition,we propose two data acquisition methods:the serial measurement method and the multithread measurement method.These are designed to achieve hyperspectral imaging and real-time static spectral imaging,respectively.[Results]Following the implementation of our demonstration experiment,we developed a novel,high-performance imaging spectrometer,which provided students with practical experience in designing and preparing various devices,such as incident,dispersion,conversion,and detection devices.Consequently,the students are encouraged to use the mathematical optimization algorithm for spectral reconstruction and the use of large experimental instruments.[Conclusions]The teaching reform is particularly beneficial for students with a background in traditional material majors as it exposes them to optoelectronic technology.The outcome is a broadening of their optoelectronic knowledge and an improvement in their comprehensive capabilities.This approach will promote diversified employment opportunities for students majoring in material physics.Furthermore,the capabilities of existing imaging spectrometers have been further improved,which is a significant step forward for the spectrum industry in our country.This advancement brings us closer to achieving international standards.
万方数据
维普
