45results about How to "Fast imaging" patented technology

The invention provides a fast magnetic resonance reconstruction method and system based on a multistage wavelet convolution network, and particularly relates to the technical field of magnetic resonance imaging and image reconstruction, and the scheme comprises the steps: collecting multi-channel under-sampling K space data; inverse Fourier transform is carried out on the multi-channel under-sampling K space data to obtain an under-sampling magnetic resonance image; and inputting the undersampled magnetic resonance image into a trained multi-stage wavelet convolutional network for reconstruction to obtain a reconstructed magnetic resonance image, the multi-stage wavelet convolutional network being constructed based on multi-stage wavelet transform and a convolutional neural network. According to the scheme, the magnetic resonance K space data is collected in an undersampling mode, the scanning time can be shortened, the multi-stage wavelet convolution network can effectively reserve high-frequency details of the image in the reconstruction process, and therefore the reconstruction quality and efficiency of the multi-channel magnetic resonance image can be remarkably improved on the whole.

The present invention discloses a method for communication encryption based on a two-dimensional inorganic / inorganic van der Waals heterojunction polarization photodetector, which belongs to the technical field of optoelectronic devices. The photodetector includes a substrate, a two-dimensional MoSe2 material layer, a two-dimensional ReS2 material layer and a thin film electrode, and the two two-dimensional material layers constitute a van der Waals vertical heterojunction and a type II heterostructure; due to the anisotropic light absorption of ReS2, the effective carrier collection and transport capacity of MoSe2 and the inhibitory effect of the heterojunction on dark current, the photoelectric performance of the two-dimensional ReS2 / MoSe2 photodetector is significantly improved, and it also has a high responsivity of 89.4 A / W, a fast response speed of 30.5 µs and polarization sensitivity. On this basis, multiple encryption of information is performed with the help of polarization state information encryption technology, which can greatly improve the concealment and security of the information transmission process, and provide new possibilities for the development of future secure communication technology.

The invention belongs to the technical field of pulsed eddy current nondestructive testing, and particularly discloses a ferromagnetic component pulsed eddy current detection imaging method and system, and the detection imaging method comprises the following steps: collecting a pulsed eddy current signal of a ferromagnetic component, carrying out logarithmic processing on the pulsed eddy current signal, and then carrying out secondary filtering processing; carrying out dimension reduction processing on the signal after the secondary filtering processing; calculating an amplitude standard deviation of the signal after dimension reduction processing of each time dimension, and selecting an effective imaging interval based on the amplitude standard deviation; performing Min-Max standardization processing on the data in the effective imaging interval; and calculating a pixel value based on a processing result obtained by Min-Max standardization, and carrying out homogenization processing on the pixel value to obtain a pulsed eddy current image. According to the invention, rapid imaging can be realized aiming at the pulsed eddy current detection signal of the ferromagnetic component, so that defects can be identified and preliminarily positioned.

The invention belongs to the technical field of computational imaging, and particularly relates to a physical information hybrid constraint-based parallel convolution single-pixel detector imaging method, which comprises the following steps of: S1, prefabricating a coding matrix by using a Hadamard matrix as a two-dimensional structured modulation light field; s2, obtaining one-dimensional light intensity coding information of a target scene through the output voltage of the single-pixel detector, carrying out parallel matrix, and establishing a parallel convolutional neural network model; s3, constructing a physical information constraint equation used for optimizing convolution parameters of the parallel convolutional neural network model; and S4, determining a physical information hybrid constraint condition, optimizing a convolution kernel of the parallel convolutional neural network model, and obtaining a target scene image. According to the method, neural network model parameters can be minimized in the imaging process of the single-pixel detector, the number of iterations is reduced, the imaging time is shortened, real-time single-pixel imaging under physical information driving is achieved, and the single-pixel detector can have higher imaging quality at a low sampling rate by introducing physical mixed constraints.

This invention discloses an online super-resolution imaging method for scanning radar based on the minimization criterion. By establishing an azimuth echo convolution model and discretizing it, the super-resolution problem is transformed. Under a regularization framework, the minimization criterion is used to construct an analytically optimizeable cost function containing sparse prior information, transforming the forward-looking imaging resolution improvement problem into an optimization estimation problem. By dividing the antenna measurement matrix into rows and blocks, matrix operations are degraded into the continuous accumulation of vector operations, enabling real-time online updates of targets in the forward-looking region. Finally, the conjugate gradient method is used to degrade and invert the matrix, outputting the super-resolution result. This method can achieve rapid imaging with limited system memory through an online conjugate gradient super-resolution algorithm based on the minimization criterion. Compared with existing batch processing regularization methods, it eliminates false targets, significantly reduces computational complexity, and is beneficial for rapid imaging of scanning radar.

The present application provides a kind of optical angiography based on optical coherence tomography, first by optical coherence tomography system to biological tissue B scanning and C scanning, obtains three-dimensional structure image.The interference spectrum of each A scanning signal of B scanning is preprocessed, and the interference spectrum is decomposed into N sub-interference spectrum signals, N is greater than or equal to 2.Fourier transform is carried out to the sub-interference spectrum signal, and N groups of structure map data at the same position are obtained.Speckle variance is solved to N groups of structure map data, and speckle variance is averaged in depth direction.Compared with prior art, the present application angiography method does not need to repeat signal acquisition at the same position, greatly improves the acquisition speed of system, and can avoid the interference of traditional optical coherence tomography angiography system on reconstructed image caused by living sample shaking.

The present invention discloses an electromagnetic quantitative imaging method based on target multi-frequency spatial spectrum splicing, the purpose of which is to solve the problem of poor imaging accuracy caused by multi-frequency spatial spectrum aliasing in traditional diffraction tomography methods, realize geometric imaging and physical imaging of the target, and belong to the field of radar imaging. The present invention first performs spatial two-dimensional Fourier transform processing on the backscattered echo signal to obtain a spectrum domain signal, then performs coordinate transformation and interpolation on the spectrum domain signal, and then processes the real part and imaginary part of the spectrum domain signal respectively to obtain a dielectric parameter spectrum domain and a conductivity spectrum domain, and then performs de-aliasing processing on the multi-frequency dielectric parameter spectrum domain and the conductivity spectrum domain to obtain a multi-frequency spliced ​​dielectric parameter spectrum domain and a conductivity spectrum domain of the target, reduce the influence of the aliased spectrum domain on the imaging performance of the target, and finally obtain the geometric imaging and physical imaging of the target body.

The present application belongs to the field of tunnel advanced prediction technology, and discloses a tunnel advanced prediction electromagnetic observation system and a detection method. The observation mode of surface emission, underground reception, multi-source emission and multi-component reception is adopted. In this mode, high-power emission can be conveniently used, the problems of high transportation cost in the tunnel and low signal-to-noise ratio of collected data are improved, the coverage area of observation data can be improved, and more effective information can be obtained. Based on the observation system, a tunnel advanced prediction inversion algorithm based on deep learning is developed, quasi-three-dimensional joint inversion of multi-component, time-domain and frequency-domain signals is realized, the advantages of deep learning algorithm are fully utilized, time-domain and frequency-domain electromagnetic signals are fully utilized, the calculation efficiency and detection precision of inversion are improved, the non-uniqueness in inversion is reduced, and rapid imaging of underground space structure is realized.

The application discloses a hyperspectral image acquisition and reconstruction method for a medical endoscope. First, the spectral signal reflected by a target tissue is collected and separated into five spectral channels of R, G, B, 830nm and 900nm-1100nm, and a five-channel multispectral image signal is collected. A low-dimensional subspace is constructed based on a public hyperspectral sample, and a hyperspectral reflectivity vector is represented as the product of a subspace base matrix and a coefficient vector. Then, a linear correlation model of an observation vector and the coefficient vector is established under the low-dimensional subspace in combination with spectral channel response information, and a subspace coefficient vector is solved by using a regularized generalized inverse. The coefficient vector is substituted into the low-dimensional subspace, and an initial hyperspectral data cube is reconstructed pixel by pixel. The initial spectral estimation data is input into a pre-trained spectral super-resolution neural network, and a high-quality hyperspectral image is output. The application reconstructs a hyperspectral image from a limited waveband multispectral image, and has the advantages of fast imaging speed, rich spectral information and the like.

This application discloses an illumination rotation module arranged in a structured light super-resolution illumination microscopic imaging optical system. It includes a rotatable galvanometer with two parallel and opposite mirror surfaces arranged relative to a rotation axis intersecting the principal optical axis. M mirror groups, each comprising at least three mirrors, are arranged around the galvanometer. When the galvanometer is at an angular position about the rotation axis, linearly polarized light incident on the illumination rotation module is reflected sequentially through one mirror surface of the galvanometer, each mirror in a mirror group corresponding to the angular position, and the other mirror surface of the galvanometer. This causes the propagation direction and deflection direction of the linearly polarized light to rotate synchronously before exiting the illumination rotation module. This application also discloses a structured light super-resolution illumination microscopic imaging optical system.

The invention discloses a methane telemetering imaging system and method based on an active infrared absorption spectrum and a fast reflector, and the system comprises a main control module, a laser driver, a laser, a detector, an off-axis parabolic reflector, a voice coil fast reflector, and a distance measurement module. The laser driver controls the laser device to emit modulated laser, the voice coil fast reflecting mirror controls the angle of emergent laser, the semiconductor photoelectric detector receives an echo optical signal, converts the echo optical signal into an electric signal and sends the electric signal to the main control module, and the main control module further completes signal analog-to-digital conversion through an analog-to-digital converter. And a digital lock-in amplifier is used to demodulate the signal to respectively obtain a first harmonic and a second harmonic. The method has the advantages of high imaging speed, high spatial resolution, high detection sensitivity and the like.

The present invention proposes a lensless microscopic imaging system and method based on self-supervised deep learning. The system includes a multi-height imaging module and a phase recovery module based on self-supervised deep learning. The multi-height imaging module is used to collect diffraction images of an observed object at multiple heights that do not require calibration, including a light source, an observed object and an image sensor placed in sequence, wherein the image sensor can move axially to change the height of the diffraction image; the phase recovery module based on self-supervised deep learning is used to instantly reconstruct the amplitude and phase information of the observed object according to the diffraction image and simultaneously jointly optimize the imaging model parameters. The present invention introduces self-supervised deep learning into the existing lensless imaging system, collects multi-height diffraction image information of the sample, and uses self-supervised deep learning to reconstruct the sample image and jointly optimize the imaging model parameters, thereby achieving label-free, unconstrained, high-performance, and high-quality imaging of the sample.

The invention discloses an XFCT (X-ray fluorescence computed tomography) imaging system based on a Thomson scattering X-ray source, and belongs to the technical field of X-ray imaging, the XFCT imaging system comprises a sample to be detected, an X-ray source module, a sample rotating table, a projection detection module, a sample attenuation detection module and an image reconstruction module; the system structure is adopted, the newly-arranged excitation source and the porous collimator are adopted, the imaging effect is improved, specifically, a Thomson scattering X-ray source is used as the excitation source of XFCT, and the source has the advantages of quasi-monochromaticity, adjustable energy, linear polarization, high brightness, compact structure and the like; the multi-hole collimator is used for collecting signals in parallel, and the sensitivity of the imaging system is remarkably improved while the resolution ratio is kept. The Thomson scattering X-ray source and the porous collimator are combined to be used for XFCT, and the imaging efficiency of the XFCT can be remarkably improved.

The invention relates to the technical field of medical image and artificial intelligence technology crossing, in particular to an intelligent auxiliary diagnosis method and system for a frozen section in a thyroid cancer operation. According to the technical scheme, the method comprises the following steps that a thyroid tissue intraoperative frozen section to be diagnosed is prepared, and the frozen section does not need to be dyed or subjected to section sealing treatment; and scanning the frozen section by using a terahertz near-field imaging system to obtain terahertz near-field image data of the frozen section. According to the method, the terahertz near-field imaging technology is adopted, the situation that cell nucleus morphology is difficult to observe due to ice crystal artifacts in a traditional frozen section is avoided, cancer cells are automatically recognized in combination with an AI model trained based on large-scale labeling data, and the objectivity and consistency of diagnosis are remarkably improved; meanwhile, the steps of dyeing and mounting are omitted, and rapid imaging and analysis are realized, so that the intraoperative diagnosis time is greatly shortened, and a generated visual contour report also provides visual decision support for pathologists.

The present invention discloses a method for processing a target material distribution image in a coherent imaging system, and belongs to the technical field of coherent imaging image processing. The method includes configuring a reference laser interference signal subdivision multiple so that the exposure trigger frequency is more than 2 times higher than the highest frequency of the light interference signal in the observation band; designing a special narrow-band bandpass FIR filter according to the characteristic absorption wavelength of the target material component to be measured, the reference laser wavelength, and the reference laser interference signal subdivision multiple; based on the area array coherent imaging technology, acquiring the interference signal data cube image frame by frame according to the exposure trigger frequency; sending the newly added frame image data of the data cube to the FIR filter for parallel real-time processing to obtain a two-dimensional normalized image of the material distribution; and obtaining a two-dimensional concentration distribution image with quantitative concentration based on the background removal processing of the normalized image. The present invention realizes synchronous calculation in the process of acquiring the coherent imaging data cube frame image, saves storage resources, and improves the material distribution imaging rate.

A computer implemented method for determining a distance of an object comprises the following steps carried out by computer hardware components: determining an image containing the object; determining a class of the object based on the image; determining a coarse estimation of the distance based on a distance sensor; and determining the distance of the object based on the coarse estimation and based on the class of the object.

The utility model provides a kind of double-mode multi-view angle's vehicle bottom safety inspection device, comprising: fixedly installed in the central main module (1) of preset vehicle scanning area, the first camera (105) included in the main module (1) is perpendicular to the plane of target to be scanned, for capturing the panoramic image of vehicle chassis main body area;Additional module (2) is equipped on the both sides of the main module (1), the second camera (22) included in the additional module (2) forms preset angle with the plane of target to be scanned, for capturing vehicle chassis oblique view angle image.

This application provides a multi-nucleus magnetic resonance imaging (MRI) device, belonging to the field of medical device technology. A multi-nucleus radio frequency (RF) transmitting unit is used to generate RF signals from at least two different nuclides. A gradient magnetic field unit is used to provide the gradient magnetic field required for spatial encoding. A multi-nucleus RF receiving unit is used to receive echo signals from different nuclides. A control unit is configured to adjust the timing sequence of the multi-nucleus RF transmitting unit, the multi-nucleus RF receiving unit, and the gradient magnetic field unit to achieve parallel excitation and synchronous reception of at least two different nuclides. Through the multi-nucleus RF transmitting unit, the gradient magnetic field unit, the multi-nucleus RF receiving unit, and the control unit in this application, parallel excitation of RF signals from at least two different nuclides and synchronous reception of echo signals from different nuclides are achieved, reducing the number of excitations and reception time required for imaging, improving imaging speed, and solving the problem of slow imaging speed in traditional devices.

The invention discloses a time domain compression three-dimensional contour dynamic imaging device, the frame rate of which reaches 11 frames per second, and the time domain compression three-dimensional contour dynamic imaging device is composed of a fringe projection system, an illumination collection system, a high-speed encoder, a data acquisition system and a computer. When a three-dimensional dynamic scene is shot, the fringe projection system projects a plurality of steps of phase-shift sine structured light to a dynamic sample, the illumination collection system images the dynamic scene to the high-speed encoder and applies a compression sampling operation, and the data acquisition system shoots and stores the compressed image. And the computer uniformly provides synchronous signals for the fringe projection system, the high-speed encoder and the data acquisition system, so that the systems work synchronously, and a reconstruction algorithm is operated after a compressed image is obtained. Compared with a traditional three-dimensional contour imaging device, the three-dimensional contour imaging device can shoot dynamic scenes, the imaging speed is increased, and an ideal tool is provided for research of industrial observation, robot intelligence, biological imaging and the like.

The invention provides a single-pixel cross-band imaging system and method, and the system comprises an imaging lens which is used for the distortionless imaging of a target object; the first dichroscope is used for transmitting and reflecting light beams with different wave bands; the disc coding mask is used for modulating a light field to obtain a modulated first light signal and a modulated second light signal; the driving device is used for driving the disc coding mask to rotate at a constant speed; the second dichroscope is used for transmitting and reflecting light beams with different wave bands; the photoelectric detector is used for carrying out photoelectric conversion to obtain a linear photocurrent signal; the adjusting circuit is used for converting the linear light current signal into a linear voltage signal; the linear light source is used for emitting a light beam according to a linear voltage signal; and the camera is used for imaging the light beam reflected by the second dichroscope. The technical problems that in the prior art, a single-pixel imaging technology is low in imaging speed and high in cost in an invisible light wave band can be solved.

This invention relates to the field of intelligent rail transit technology, providing a track detection method, apparatus, electronic device, and storage medium. The track detection method includes: obtaining target image data representing a track region from image data acquired by a camera; obtaining target point cloud data representing the track region from point cloud data acquired by a lidar based on the camera parameter matrix and the target image data; extracting a transformation matrix from the lidar coordinate system to the track plane coordinate system based on the target point cloud data; obtaining target track data generated by projecting the target image data onto the track plane based on the camera parameter matrix and the transformation matrix; and fitting a target track equation based on the target track data. This invention's track detection scheme combines the sensing capabilities of lidar with the motion-distortion-free and pixel-dense characteristics of camera imaging, improving track detection accuracy, increasing track detection distance, and efficiently and accurately obtaining track detection results.

The present invention provides a snapshot imaging spectroscopy system, including an optical relay unit, an optical waveguide unit that rearranges the light from the optical relay unit, a spectroscopy unit that performs dispersion spectroscopy processing on the light rearranged by the optical waveguide unit, and a detection unit that converts the received optical signal into an electrical signal for output, wherein the optical fiber bundle arrangement density at the light input end of the optical waveguide unit is greater than that at the light output end. The snapshot imaging spectroscopy system provided by the present invention, by using an optical waveguide unit whose optical fiber bundle density at the light input end is greater than that at the light output end, the optical waveguide unit can rearrange the spatial position of the pixels of the object, leaving gaps to accommodate the dispersed light, and finally rearrange the two-dimensional after dispersion into a three-dimensional cube, thereby achieving one-time exposure to obtain the imaging spectroscopy data of the object, greatly improving the speed of spectral imaging, which is of great significance for fast reading of moving objects and spectral imaging of rapidly occurring events.

The invention discloses an underwater buried target electrical imaging method, and belongs to the field of underwater buried target detection imaging. The method comprises the following steps: firstly, preparing a detection device which comprises two rows of receiving and generating electrodes, then obtaining an array flow pattern and a flow pattern matrix, and then carrying out matrix scanning on a detection area where a buried target object is located by using the detection device to obtain a received signal matrix; and then obtaining a target width value and a position corresponding to each row of the received signal matrix through spatial spectrum estimation and sliding window scanning, and finally performing inversion imaging based on the width values and the positions. According to the invention, a virtual electrode array is formed based on two pairs of mobile receiving and generating electrodes, and the system has the advantages of low system complexity, low cost, high imaging speed, high accuracy and the like.

The application provides a dipole double-layer casing well imaging method based on an Inception module, forward modeling is performed on a real double-layer casing well model, a dipole excitation mode is adopted, different sizes of double-layer casing well array logging signals are obtained according to the forward model, neural network parameters based on the Inception module are set, and the obtained characteristic signal array is input into a neural network containing the Inception module for training and verification, the training result of the neural network is saved, and the network structure of the neural network containing the Inception module and the model trained by the optimal parameters are used for carrying out longitudinal wave and transverse wave slowness inversion and imaging on the double-layer casing well. The application establishes the relationship between the characteristic signal and the real longitudinal wave and transverse wave slowness graph of the dipole double-layer casing by using the neural network containing the Inception module, can realize fast and high-resolution imaging, and effectively improves the robustness of the neural network.

The present application is applicable to the field of optical microscope imaging technology, and provides a microscopic imaging system and method, which includes: an illumination optical path module, a detection optical path module, an imaging processing module and a stage, wherein the illumination optical path module is used to incident a laser beam into an observation sample on the stage at a preset incident angle; the detection optical path module is used to collect the fluorescence signal refracted by the observation sample, separate and transform the multiple wavelength beams in the fluorescence signal, and obtain the spectrum information of the multiple wavelength beams in the fluorescence signal; perform photoelectric signal conversion on the spectrum information of the multiple wavelength beams in the fluorescence signal to obtain a captured image of the observation sample; the imaging processing module is used to perform deconvolution reconstruction on the captured image to obtain a reconstructed image of the observation sample. Through this microscopic imaging system, it is possible to distinguish multiple different wavelength beams emitted by fluorescent groups in the observation sample in one imaging, thereby making the microscopic imaging process simpler to operate and faster in imaging speed.

This application provides a method and apparatus for rapid multi-contrast magnetic resonance imaging based on helical trajectory acquisition. The method includes: constructing a modular multi-contrast imaging pulse sequence composed of multiple preparation modules, each preparation module being used to generate different magnetic resonance signals; generating magnetic resonance signals according to the modular multi-contrast imaging pulse sequence, and acquiring the magnetic resonance signals using a helical trajectory to obtain acquired magnetic resonance signals; and performing imaging reconstruction based on the acquired magnetic resonance signals to obtain magnetic resonance images with different contrasts. This method improves the generation efficiency of magnetic resonance signals by generating magnetic resonance signals with different contrasts through a modular multi-contrast imaging pulse sequence. Since the helical acquisition trajectory has high encoding efficiency, using a helical trajectory acquisition can effectively improve the acquisition efficiency of magnetic resonance signals, thus increasing the imaging speed of multi-contrast magnetic resonance images.

The invention relates to a photoacoustic microscopic imaging method and system. The method comprises the following steps: arranging a sample at a specified position; the spatial light modulator loads a phase diagram corresponding to the Gaussian light, scanning is carried out at a set rate, and an imaging result is obtained; selecting a region of interest according to the imaging result, and performing axial modulation imaging in the region of interest; in the axial modulation imaging process, the spatial light modulator loads 2N + 1 phase diagrams corresponding to non-sinusoidal modulation functions of different phases in sequence; phases corresponding to the 2N + 1 phase diagrams are as follows: N is the number of modulation frequencies; and reconstruction is carried out based on 2N + 1 one-dimensional photoacoustic signals obtained through axial modulation imaging scanning, and the photoacoustic signals after bandwidth expansion are obtained. According to the invention, the bandwidth of the photoacoustic signal can be expanded to GHz, an axial high-resolution imaging result is obtained, the data volume is reduced, the imaging time is shortened, and the imaging speed is improved.

The present invention provides a common-path phase-shift interference device based on single grating multiplexing, comprising: a microscopic imaging module, which performs transmission illumination on a sample; a phase modulation module, which comprises a non-polarizing cube beam splitter, a Ronchi grating, a diffraction beam filter assembly and a phase-type spatial light modulator, wherein the Ronchi grating diffracts a light beam transmitted through the non-polarizing cube beam splitter into multiple orders, and after passing through the diffraction beam filter assembly, the zero-order diffraction beam and the first-order diffraction beam are processed by the phase-type spatial light modulator and return to the Ronchi grating to diffract again to produce multiple orders; an interference imaging module, which receives the light beam reflected by the non-polarizing cube beam splitter and generates an interference image. The present invention significantly reduces the length of the optical structure and the system complexity through a single grating multiplexing design, and simplifies the filtering process in conjunction with the phase-type spatial light modulator, avoids phase shift errors, and significantly improves the imaging speed.

The invention discloses a terahertz defect detection device based on a multiple-input-multiple-output array, and relates to the technical field of testing. The device comprises a portal frame, a transmission table, a defect detection array front end, a microwave signal generation module and a data acquisition and control module, the defect detection array front end is fixed on the portal frame, is connected with the microwave signal generation module and is used for detecting defects of a sample to be detected, and the data acquisition and control module is connected with the transmission table. Comprising a terahertz signal generating array, a terahertz signal receiving array and a transmitting and receiving antenna module, and array elements in the terahertz signal generating array and the terahertz signal receiving array are arranged at equal intervals in a staggered mode; the transmission table is positioned below the front end of the defect detection array and is used for placing a sample to be detected, and the portal frame, the transmission table, the front end of the defect detection array and the microwave signal generation module are respectively connected with the data acquisition and control module. The device disclosed by the invention is high in integration level, high in stability and high in imaging efficiency, and realizes rapid, efficient and nondestructive detection on the defects of the non-metallic material.

The utility model relates to the technical field of micro-nano optics, in particular to a light field switching device and a light field switching and characterization system. The light field switching device comprises a laser, an optical parametric oscillator, a three-dimensional moving table, a substrate and an oil-immersed objective lens fixed on the three-dimensional moving table, the laser, the optical parametric oscillator, the three-dimensional moving table and the substrate are sequentially arranged, a metal film layer is plated on one side of the substrate, and the three-dimensional moving table is configured to bear the oil-immersed objective lens to move relative to the substrate. The three-dimensional moving table is moved to drive the oil-immersed objective lens to move, so that the relative distance between the focus of the oil-immersed objective lens and the metal film layer on the substrate is changed, the focusing degree of the exciting light is controlled, the exciting light focused by the oil-immersed objective lens and the metal film layer are subjected to different reactions, and different fields to be measured are generated. A user can quickly switch different tight focusing light fields and surface plasmon polariton fields only by adjusting the three-dimensional mobile station, and when parameters of incident light are changed, the switching device is still applicable and has high reusability.