44 results about "Spectral separation" patented technology

The invention provides a transparent coating surface detection method based on space-spectrum separation imaging, and the method comprises the steps: setting an imaging system which comprises a wide-spectrum illumination unit, a light path separation unit, a space position information obtaining unit and a spectrum information obtaining unit, and the spectrum information obtaining unit comprises a dispersion subunit; the light path separation unit divides light reflected after the wide-spectrum illumination unit irradiates the surface of an object into two paths and then sends the two paths of light to the spatial position information acquisition unit and the spectral information acquisition unit which are jointly calibrated; the spatial position information acquisition unit and the spectral information acquisition unit perform data acquisition on a to-be-measured object; the two types of data acquired by the spatial position information acquisition unit and the spectral information acquisition unit are accurately calibrated; and extracting space image features, feature wavebands and spectral curve features from the two types of data after accurate calibration, fusing the features, and detecting the surface of the transparent coating by adopting a teacher-student neural network.

To provide a spectroscopic analyzer capable of improving light utilization efficiency (S / N) of a light source with a relatively simple configuration.SOLUTION: A light source that emits light, a collection-optical-system unit that collects the light from the light source, a first slit that extracts light of a predetermined region from the light collected by the collection-optical-system unit, an excitation-side diffraction element that disperses the light from the collection-optical-system unit, a second slit that extracts monochromatic light of a predetermined wavelength from the light dispersed by the excitation-side diffraction element, and a detector that detects light from a sample irradiated with the monochromatic light, the collection-optical-system unit is disposed between the light source and the excitation-side diffraction element, and includes a mirror having a reflection surface of a non-axisymmetric free-form surface shape.SELECTED DRAWING: Figure 3C

The application discloses a distortion overlapping spectrum separation method and a related device, relates to the technical field of spectrum separation, and can be applied to fiber sensing spectrum, Raman spectrum and X-ray diffraction spectrum. The method comprises the following steps: obtaining and preprocessing distortion overlapping spectrum data through simulation, constructing a training data set through data enhancement and splitting simulation, extracting features and calculating a contrast learning loss by using a double-encoder network, reconstructing spectrum components by using a double-decoder network and calculating a reconstruction loss, training a model by combining the contrast learning loss and the reconstruction loss, fine-tuning a target model through actual measurement data, and finally performing spectrum separation by using the target model and outputting physical parameters. The method does not require a large amount of manually labeled data, can improve the processing capacity for spectrum distortion and overlapping through self-supervised contrast learning and physical constraints, can enhance the adaptability to complex environments, can greatly reduce strain measurement errors, can effectively solve the demodulation problem of spectrum distortion and overlapping, and can meet the high-precision requirement of precise structure health monitoring.

This spectrometer comprises a light detection element having a light passage part, and a spectroscopic part. The light detection element has: a first light detection part that includes a plurality of first pixels and detects diffracted light dispersed by the spectroscopic part; and a second light detection part that includes a plurality of second pixels and detects zero-order light. When viewed from a first direction, the light passage part is disposed between the first light detection part and the second light detection part in a second direction. The spectroscopic part disperses and reflects measurement light so that the half-value width of the zero-order light in the second light detection part is larger than the half-value width of the diffracted light in the first light detection part for diffracted light and zero-order light having the same wavelength.

The application relates to the technical field of detection of electrified railway contact network systems, and discloses a contact network system fluorescent fingerprint intelligent analysis system, which comprises a visual unit, an emitting unit, a deflection unit, a receiving unit, a detection unit and a main control unit. The visual unit calculates relative motion parameters of insulators, drives the deflection unit to perform reverse compensation motion, so that a laser landing point remains stationary relative to a target surface within an integration time. The detection unit respectively collects parallel and vertical polarization components of Rayleigh scattering light and Stokes luminescence after spectral separation. The main control unit calculates a surface roughness factor by using the Rayleigh scattering component, carries out numerical correction on a polarization anisotropy parameter of the Stokes luminescence, eliminates the influence of geometric depolarization, and extracts fluorescent lifetime and rotation-related time characteristics. The application solves the fluorescent detection distortion problem caused by rough surfaces in a dynamic environment, and realizes multi-dimensional diagnosis of the contamination type and the substrate aging degree of the insulator surface.

An imaging system (10) for creating a color image from a plurality of acquisitions includes a first optical path (60) having a first field of view. The first light path (60) has an input coupling element ICE (20) and an output coupling element OCE (40), the input coupling element ICE (20) being designed to at least partially deflect light incident on the input coupling element ICE (20) from the first field of view to the output coupling element OCE (40). Furthermore, the outcoupling element OCE (40) is designed to at least partially outcouple the deflected light, and the incoupling element ICE (20) and / or the outcoupling element OCE (40) are / is designed to at least partially spectrally separate the light from the first field of view. The imaging system (10) further includes a second optical path (70) having a second field of view and including an entrance opening.

This invention relates to a hyperspectral microscopic imaging system, comprising a front imaging module and a hyperspectral back imaging module; the front imaging module is used to collect sample light signals and image a front image beam; the hyperspectral back imaging module is used to disperse the front image beam along the dispersion direction to obtain a spatial spectral image; it includes: a magnifying lens group, a segmentation component, and a dispersive lens group; the front image beam is magnified into a magnified image in the dispersion direction by the magnifying lens group, and the segmentation component is disposed on the image plane of the magnified image; the segmentation component consists of multiple microlens groups arranged side by side along the dispersion direction covering the range of the magnified image; the dispersive lens group includes a collimating lens and a converging lens with the same focal length, the collimating lens and the converging lens forming a relay lens group, and a dispersive prism is disposed between them along the dispersion direction. The hyperspectral microscopic imaging system provided by this invention magnifies the multispectral superposition spatial image obtained by the front imaging module through a magnifying lens group, and then divides and converges it into discrete sub-images through a segmentation component, creating camera detection resources for recording spectral information. The dissociated spectral information is integrated into the spatial information and recorded by the camera to obtain a spatial-spectral image without superposition crosstalk. While achieving spatial-spectral separation, it reduces the distortion of spatial information.

Provided are an image data processing device and an image data processing method that can generate a high-quality image. An image data processing device for processing first image data obtained by imaging light of a subject, which has been spectrally separated into a plurality of wavelengths through a band-pass filter, with an image sensor includes a processor. The processor is configured to acquire the first image data, to calculate a feature amount in a transmission wavelength range of the band-pass filter on the basis of the first image data, and to calculate information of spectral characteristics of the subject on the basis of the feature amount.

The invention belongs to the technical field of waste gas monitoring, and particularly relates to a solid waste incineration waste gas monitoring method and system.The solid waste incineration waste gas monitoring method comprises the following steps that S1, an original interferogram of waste gas to be detected is obtained and subjected to Fourier transform, and original absorption spectrum data is obtained; s2, extracting P and R branch bands of reference gas carbon dioxide in the original absorption spectrum data to calculate real-time gas temperature; separating a low-frequency component of the original absorption spectrum data by adopting wavelet transform, and performing thermal teratogenesis correction on the low-frequency component by utilizing the real-time gas temperature to generate a baseline; and deducting the base line from the original absorption spectrum data to obtain a net absorption spectrum. According to the method, multiple links such as baseline correction, spectrum separation, quantitative modeling and the like are systematically optimized, and the anti-interference capability and reliability of the FTIR technology in waste gas monitoring under complex working conditions such as solid waste incineration and the like are improved.

Analysis device (11, 11', 11'') for analyzing a sample substance using Raman spectroscopy, with a sample chamber (13) for receiving the sample substance, a laser system (17) for irradiating the sample substance located in the sample chamber (13) with laser light, a dispersive optical element (12, 35, 35') for spectral splitting of scattered light emanating from the irradiated sample substance, at least one detector unit (20) for receiving at least a part of the spectrally split scattered light and an electronic evaluation device (25) which is in signal communication with the at least one detector unit (20) and is configured to determine at least one Raman line (51, 52) on the basis of the scattered light received by the detector unit (20), wherein the detector unit (20) has two adjacent individual detectors (21, 22) which are configured to output respective separate signals (27), wherein the electronic evaluation device (25) is configured to take into account the signals (27) of both individual detectors (21, 22) of the detector unit (20) when determining the at least one Raman line (51, 52).

This invention provides a multiphoton, multichannel optical measurement device for fiber characteristics in lung adenocarcinoma, comprising a laser modulation and scanning unit, a multichannel spectrophotometer, and a fiber characteristic measurement and classification unit connected sequentially by optical paths or signals. The laser modulation and scanning unit is configured to output femtosecond pulsed laser light to excite a sample to generate a nonlinear optical radiation signal through two-dimensional scanning, and to collect the backpropagating nonlinear optical radiation signal generated by the sample. The multichannel spectrophotometer is configured to perform spectral separation on the nonlinear optical radiation signal to form at least two independent optical detection channels, perform synchronous quantitative measurement of light intensity, and obtain optical radiation parameters of the corresponding wavelength band. The fiber characteristic measurement and classification unit is configured to extract the structural characteristic parameters of the two types of fibers and calculate the spatial distribution relationship characteristic parameters of the two types of fibers, and generate classification characteristic data characterizing the differences in fiber spatial configuration through a pre-trained classification model.

To provide a spectrometer whose accuracy is improved compared with conventional techniques, and an optical apparatus including the spectrometer.SOLUTION: A spectrometer includes: a spectroscopic element 40 that spectrally disperses incident light (reflected light L2) in accordance with wavelength; a detector (line sensor 42) that has a plurality of pixels 42a, and receives spectrally dispersed light L2a for respective wavelengths dispersed by the spectroscopic element 40 with mutually-different pixels 42a; and low-emissivity members 44, 46 that are provided on at least one of a first direction side and a second direction side of the spectroscopic element 40 and the detector when one direction side of a spectroscopic direction A of the spectroscopic element 40 is defined as the first direction side and the other direction side of the spectroscopic direction A is defined as the second direction side.SELECTED DRAWING: Figure 2

Systems and methods configured for simultaneous imaging and stimulation using a microscope system. The microscope system can have a relatively small size compared to an average microscope system. The microscope can comprise in part an imaging light source and a stimulation light source. Light from the imaging light source and the stimulation light source can be spectrally separated to reduce cross talk between the stimulation light and the imaging light.

This invention discloses a defect detection device and method based on phase differentiation. The device includes an coded illumination module, a microscopic imaging module, a motion platform module, and a signal detection module. The method uses striped structured illumination to perform multi-frame phase-shift imaging of the surface under test, calculates the complex amplitude, extracts phase information, and performs high-order differential calculations on the phase to achieve simultaneous super-resolution detection of intensity-type and phase-type defects. The advantages of this invention are: it utilizes a structured illumination defect detection device to acquire images and construct complex amplitudes; combined with high-frequency signals amplified and extended by high-order phase differentiation, it overcomes the diffraction limit of the optical system; it also acquires sensitivity to phase-type defects; and it eliminates the need for complex spectral separation and image reconstruction algorithms, significantly reducing system complexity and data processing time.

The application discloses a kind of based on dual-wavelength and fiber grating network's coast slope deformation cooperative monitoring method, belong to geotechnical engineering safety monitoring technical field, according to network topology, top edge layer, inclined edge layer and bottom edge layer of coast slope are carried out sensor deployment;Distribute the working wavelength of top edge layer sensor and inclined edge layer sensor, realize the spectrum separation of environmental interference and deformation signal, then dynamically calibrate parameter, collect signal and extract strain, remove the interference of tidal action by hydrostatic pressure compensation and wave filtering, to ensure signal accuracy;Top edge layer sensor and bottom edge layer sensor are carried out annual scale monitoring cumulative displacement correction and sensor service life prediction.The space cooperation of three-layer network and the fusion of dual-wavelength signal, multi-layer cooperation, dynamic correction, accurate monitoring of slope deformation, finally realize high-precision, anti-interference monitoring of coast slope deformation, guarantee the safety of coast slope.

This invention relates to the field of medical image processing technology, specifically to a method and system for processing immune scoring data based on deep learning. The method includes: acquiring an immunohistochemically stained whole-section image to be scored; dividing the whole-section image into non-overlapping image blocks; performing multi-level spectral separation and decomposition on each image block to construct a spatial density distribution map of immune cells in the whole-section; segmenting the tumor central region and invasion edge region on the spatial density distribution map according to tissue morphology gradients, and extracting the corresponding local density distribution. This invention, by inverting the effective chemotaxis coefficient and effective proliferation coefficient of the reaction-diffusion coupling system from the spatial density distribution map of immune cells, can directly quantify the degree of mechanistic deviation of immune cell chemotaxis and proliferation capacity in the tumor microenvironment, overcoming the limitations of traditional methods that rely solely on static cell density counting, and giving the scoring a clear biophysical meaning.

In an instrument configured to spectroscopically divide fluorescences emitted from a plurality of capillaries and collectively measure the fluorescences using an image sensor, when the number of pixels of a binning region on the image sensor on which a predetermined wavelength-band component of each fluorescence is projected is denoted by Bm, the number of pixels of hardware binning is denoted by Bh, the number of pixels of software binning is denoted by Bs, Bm=Bh×Bs, the total noise measured in a case where Bm=Bh=Bs=1 is denoted by N, the readout noise is denoted by Nr, the dark-current noise is denoted by Nd, and the shot noise is denoted by Ns, Bm, Bh, Bs, N, Nr, Nd, and Ns satisfy a predetermined relationship, thereby realizing high sensitivity and high dynamic range in fluorescence measurement.

The present invention provides a wide-filed spectral imaging system including a laser generator, a wavelength adjustment module, an objective lens, and a single-pixel imaging and a spectral separating module. The laser generator is configured to generate a laser excitation beam. The wavelength adjustment module is configured to disperse the laser excitation beam into a plurality of beams of different wavelengths. The objective lens is configured to focus the plurality of beams of different wavelengths on a sample to excite molecules under test in the sample and generate an emission light. The single-pixel imaging and spectral separating module is configured to generate a series of patterns and modulate the emission light with the series of patterns to generate a diffracted beam. The single-pixel imaging and spectral separating module further disperses the wavelength of the diffracted beam, collects light signals of the expanded diffracted beam, and performs a spectral image reconstruction.

This pulse compression device 40 compensates for dispersion of introduced pulsed light in an optical path through which the pulsed light having a wavelength range expanded by passing through a hollow fiber is introduced and then led out. The pulse compression device 40 comprises: a spectroscopic element 42; and a deformable mirror 44. The spectroscopic element 42 spectrally disperses the pulsed light so as to make the optical path different according to a wavelength. The deformable mirror 44 has a reflecting surface for reflecting the spectrally dispersed pulsed light, and can deform the reflecting surface such that the length of the optical path changes in accordance with the position in the reflecting surface.

The invention relates to a method for forming a selective multilayer filter (1) for spectral separation of solar radiation, which filter is suitable for being placed in photovoltaic panels for use in energy production facilities, wherein the multilayer filter (1) comprises a plurality of layers (2) of different refractive index and thickness, wherein the method is characterized in that it comprises performing a series of steps for forming said multilayer filter (1) so as to maximize photovoltaic and thermal efficiency. The invention also relates to a multilayer filter (1) formed using said method. The invention further relates to an installation for producing energy by exploiting solar energy, comprising the use of at least one multilayer filter (1) formed using said method.

The application provides a spectrum detection device and method based on ultraviolet-fluorescence feature level fusion, and belongs to the field of spectrum detection and analysis. The device comprises an ultraviolet light source module, a sample detection module, a fluorescence collection module, a spectrum analysis module and a data processing module. The ultraviolet light source module is used for providing stable ultraviolet excitation light; the sample detection module is used for irradiating the ultraviolet light onto a sample to be detected and collecting the excited fluorescence signal; the fluorescence collection module captures the fluorescence signal through a high-sensitivity detector; the spectrum analysis module performs spectrum separation on the collected ultraviolet light and fluorescence signal; and the data processing module adopts a feature level fusion algorithm to perform fusion analysis on the features of the ultraviolet spectrum and the fluorescence spectrum, so as to improve the detection precision. The application can simultaneously utilize the advantages of the ultraviolet spectrum and the fluorescence spectrum, comprehensively detects the physical and chemical characteristics of a sample, and is widely applicable to the fields of food safety detection, biological medicine analysis, environmental monitoring and the like.

To provide a pulse compression device capable of sufficiently shortening the pulse width. [Solution] The pulse compression device 40 compensates for the dispersion of introduced pulsed light in the optical path from the time the pulsed light, whose wavelength range has been extended by passing through a hollow fiber, is introduced until it is extracted. The pulse compression device 40 comprises a spectroscopic element 42 and a deformable mirror 44. The spectroscopic element 42 spectrally separates the pulsed light so that the optical path differs according to the wavelength. The deformable mirror 44 has a reflective surface that reflects the spectrally separated pulsed light, and the reflective surface can be deformed so that the length of the optical path changes depending on the position within the reflective surface.

The embodiment of the application provides a kind of multi-modal single-pixel compression imaging system based on spatial light modulator, light source supply module in the system will provide wide band light source, the light emitted by wide band light source will be irradiated to target object, and reflected to light field modulation module;Light field modulation module will carry out optical spectrum separation to the received light signal, after the separated multiple single color light is incident to spatial light modulator, via spatial light modulator carries out light splitting and parallel modulation;Single-pixel detection module will when detecting modulated light signal, the light intensity data collected is fed back to data processing module;Data processing module will when determining that light signal reaches ideal modulation state, mode switching instruction is issued to spatial light modulator to carry out mode switching, and, based on multi-modal imaging light intensity data, joint optimization modeling and iterative solution calculation are carried out, to realize the synchronous reconstruction of target object image.The system can realize the joint acquisition and fusion reconstruction of multi-modal information.

For simplified, less computationally intensive, image recording of different spectral signal components using a plurality of color channels of a single image sensor, a targeted adjustment of a sensitivity of at least one of the color channels in relation to another one of the color channels of the image sensor is provided for a spectral separation of this reduced or adjusted color channel from the other color channel so that at least one certain spectral range (i.e., in particular a part of a first spectral range captured using the other color channel) is no longer detectable using the color channel that has been adjusted in terms of its sensitivity. This adjusted color channel becomes spectrally blind in the spectral range and can consequently spectrally selectively detect a further spectral range (specifically a second spectral range deviating from the first spectral range). The second spectral range may include a fluorescence wavelength.

The application relates to the technical field of security monitoring, and particularly discloses a low-power-consumption electronic fence triggering algorithm based on edge computing, which collects double-channel signals before and after a triggering moment to form a data matrix, extracts empirical characteristic values through standardization and plane rotation iteration, calculates a theoretical limit characteristic value according to a matrix array, and obtains a spectral separation degree; a background baseline is constructed by using the spectral separation degree of historical reliable false alarm samples, and a first or second flag is compared and generated; a sliding cross-correlation similarity check is performed on the first flag sample and the latest confirmed false alarm sample, whether to be included in the reliable false alarm sample is determined according to a check result; only the reliable false alarm sample is used, a step coefficient is obtained according to a normalized deviation value, a dynamic decision boundary is reduced, and a background baseline mean value is exponentially weighted and updated; the application can avoid that a real intrusion which rapidly passes through is mistaken for a false alarm, prevent irreversible degradation of triggering sensitivity, and maintain long-term reliable response of the fence under the condition of low power consumption.

Image processing systems and related methods. The system comprises a multi-channel input interface (IN) for receiving a data stream of spectral projection data. The data stream comprises two sets, namely a first set and a second set, the first set of energy spectrum projection data represents a first type of attenuation under different contrast ratios, and the second set of energy spectrum projection data represents a second type of attenuation under different contrast ratios. The different contrasts are due to a first object (CA) capable of moving relative to a second object (ANA) and entering the field of view of the imaging device, while the projected raw data is so acquirable. A channel-by-channel processor (CP) processes the two sets to obtain a processed data set, thereby improving the image quality of the sets. An output interface (OUT) provides the processed set. The system functions as an image quality enhancer.

The invention discloses a mixed gas concentration detection method based on an overlapped time multiplexing direct absorption spectrum. A multi-component gas concentration detection scheme of OM-DAS is designed to solve the problem that multi-component gas detection lacks synchronism and universality. A spectrum separation module and a concentration regression module based on a depth residual multilayer perceptron are designed, so that the algorithm is suitable for separating spectrum data with overlapped spectrum peak height and regressing gas concentration from a transmission spectrum; establishing an end-to-end mixed gas analysis network, and integrating the network into two modules, namely a spectrum separation module and a concentration regression module, so that the network is suitable for directly regressing multi-component gas concentration from overlapped spectrum data; oM-DAS signals in the experimental environment are simulated and generated to serve as training data of a deep learning algorithm, so that concentration prediction of real data in the experimental environment is achieved; the thought of transfer learning is introduced in the training process, and the concentration regression generalization performance of the mixed gas analysis network is improved.

To provide a spectroscopic analyzer, a spectroscopic analysis method, and a spectroscopic analysis program capable of performing stable measurement by correcting the fluctuation of a zero point in a state that a measurement sample is set as it is without replacing a blank solution, a reference sample or the like for periodically acquiring the zero point.SOLUTION: The spectroscopic analysis apparatus 1 includes a light source 11 that emits light including at least a first wavelength and a second wavelength, a spectroscope 12 that disperses the light emitted from the light source 11 into light of the first wavelength and light of the second wavelength, a detector 14 that detects the light of the first wavelength and the light of the second wavelength emitted from the spectroscope 12 and passing through a sample S, and a controller 16 that calculates a first absorbance of the sample S corresponding to the light of the first wavelength and a second absorbance of the sample S corresponding to the light of the second wavelength based on a detection result of the detector 14. The controller 16 calculates the corrected absorbance of the sample S corresponding to the light having the first wavelength by correcting the first absorbance using the second absorbance.SELECTED DRAWING: Figure 1

The invention provides a two-dimensional GaN / Si dual-band photoelectric detector and a preparation method and application thereof. The two-dimensional GaN / Si dual-band photoelectric detector comprises a Si substrate, a SiO2 passivation layer and a two-dimensional GaN layer, wherein the SiO2 passivation layer and the two-dimensional GaN layer are arranged on the Si substrate; the Ti / Au electrode is arranged on the surface of the two-dimensional GaN layer; the InGa alloy electrode is arranged on the back surface of the Si substrate; the two-dimensional GaN substrate and the Si substrate form a heterostructure, the two-dimensional GaN substrate and the Si substrate are located in an ultraviolet spectrum interval and an infrared spectrum interval respectively, the spectrum separation degree of the two substrates is large, and compared with a dual-waveband communication mode of other waveband combinations, signal crosstalk can be effectively restrained, the influence of external noise on communication quality can be reduced, and therefore the stability and reliability of a system are further improved. Therefore, higher signal fidelity and anti-interference capability are provided in encrypted communication.