515 results about "Optical coherence tomography" patented technology

The invention relates to the technical field of ophthalmologic image processing, and discloses a fundus blood vessel segmentation method based on multi-modal data. The method comprises the following steps: firstly, synchronously acquiring an optical coherence tomography image, a color fundus photographic image and a fluorescent angiography image to form multi-modal fundus data; preprocessing the eye fundus image data set to generate a standardized multi-mode eye fundus image data set; fusing heterogeneous features based on the data set, and constructing a multi-dimensional fundus feature space; using the space to train a deep learning segmentation network model, and generating an initial fundus blood vessel segmentation mask; carrying out confidence evaluation analysis on the initial mask to obtain a blood vessel segmentation result confidence distribution map; dividing blood vessel segmentation quality grades according to the distribution diagram, and defining a judgment rule; and performing interactive correction on the low-confidence region based on a rule to generate a final optimized fundus blood vessel segmentation result. And the final result is transmitted to a visual terminal for three-dimensional topology reconstruction. According to the method, the advantages of multi-modal data are integrated, and a more comprehensive fundus blood vessel segmentation result is formed.

The invention discloses an optical coherence tomography device for optimizing aberration digital compensation and an imaging method, the device comprises an optical coherence tomography device and an image processing module, and the optical coherence tomography device comprises an illumination module, an interference module, an area array detection module and a synchronous control module. The imaging method comprises the following steps: setting device light source parameters according to coherent gating, and determining a sampling matching relation of the area array detection module according to a sampling theorem; selecting a frequency sweeping mode or a time domain mode, electrifying to activate a corresponding light source and a synchronous time sequence, and adjusting the position of a reference mirror; collecting a full-field interference sequence of the area-array camera, performing digital aberration compensation, performing compensation and denoising on volume data of different depths, and exporting a three-dimensional diffraction limit image; and outputting a three-dimensional tomographic image with transverse diffraction limit and axial micron-level resolution. According to the invention, the imaging resolution and the imaging speed of optical coherence tomography are improved under the conditions that the camera specification is reduced, the GPU dependence is reduced and the system cost is reduced.

The invention discloses a parallel imaging OCT (Optical Coherence Tomography) system based on a metasurface area array, which relates to the technical field of medical instruments, is small in size and can realize intraocular single-shot area array imaging and a three-dimensional position depth perception function by using metasurface and optical coherence tomography imaging information in a sample tissue with a limited size. According to the technical scheme, a light beam emitted by a laser is divided into two paths through a beam splitter, and the two paths enter a sample arm module and a reference arm module respectively; the sample arm module is a probe and comprises a multi-core optical fiber and a first metasurface; the reference arm module comprises a collimator, a motor and a right-angle reflector; the probe enters a sample tissue, a light beam is focused on the sample tissue and then is backscattered, the backscattered light beam reversely passes through the first metasurface, the multi-core optical fiber, the beam splitter, the second metasurface, the third lens, the grating and the focusing lens and then forms a spectral line beam on the CCD sensor, and the computer reads a signal from the CCD sensor and performs three-dimensional reconstruction imaging on the sample tissue.

The invention provides an intraoperative real-time navigation system based on digital twinning, and relates to the technical field of digital twinning, and the system comprises a data collection module which is used for obtaining the three-dimensional form data of a liver and a biliary tract through an intraoperative ultrasonic imaging device, and collecting the elastic modulus distribution parameters of liver parenchyma and a bile duct wall; the construction registration module is used for constructing a real-time digital twin in the liver and gall area based on the three-dimensional form data and the elastic modulus distribution parameters, and carrying out multi-mode non-rigid registration on the digital twin and the liver surface topography and the vascular structure which are subjected to optical coherence tomography in the operation; therefore, a dynamic space mapping relation between the organ structure and the image data is established. According to the method, real-time navigation in the operation is realized through digital twinning, the obstacle avoidance path is updated, and the safety and efficiency in the operation are improved.

The invention discloses a 3D printing self-adaptive control system for bone defect, and relates to the technical field of 3D printing self-adaptive control, a miniaturized optical coherence tomography, a high-resolution camera, a force sense and temperature sensor and the like are installed on an operation site, and the whole process of material deposition and solidification is monitored; then, deviation is rapidly recognized through an anomaly detection and error prediction model, defect positions are output, and a closed-loop control unit is combined with model prediction control and self-adaptive path planning to achieve online adjustment of key variables such as the extrusion amount and the printing speed; when the defect cannot be made up automatically through parameter adjustment, the system can trigger local shutdown and secondary repair, the forming quality is evaluated through multi-modal scanning and a repair scoring function after repair, and the high matching degree and mechanical stability of the final bone scaffold and the bone defect part are ensured; the cooperation of multi-modal sensing and local path planning enables the system to have higher adaptability.

The invention relates to an OCT (Optical Coherence Tomography) navigation uterine cavity adhesion and dissection postoperative residual adhesion prediction method, which comprises the following steps of: acquiring an interference signal of an intraoperative uterine cavity wall area by utilizing OCT equipment, and identifying an adhesion fiber microstructure which is not completely broken so as to judge the existence of an optically invisible residual adhesion microbridge; applying low-frequency bioelectrical stimulation to the wounded area of the uterine cavity during the operation, and marking the wounded area as a tissue repair electrical activity silent area if no blood flow micro-reaction is continuously detected; oCT micro-deformation sequence analysis is carried out on the region after intraoperative dissection is completed, mutation breakpoints of tissue elastic distribution are identified, and the potential risk that traction after-tack occurs in the region is predicted; detecting whether a metabolic oxidation reaction residual zone exists in the operation area or not so as to judge local tissue repair activity decline and re-adhesion tendency; local micro-intervention stimulation is applied to the tissue area judged to be high in risk, OCT imaging is carried out again to detect the reversibility of tissue optical response, and if an image is still fractured and red shift is enhanced, it is judged that the area is the postoperative irreversible adhesion residual area.

Systems and methods for compensating for tilt of an intraocular lens (IOL) and systems and methods for adjusting an IOL are disclosed herein. For example, one of the methods may include capturing one or more optical coherence tomography (OCT) images of a subject's eye while implanting the IOL within the subject's eye. The method may further include generating a fixation target such that the fixation target is visible to an eye of the subject; and moving the fixation target until the lateral plane of the IOL is perpendicular or substantially perpendicular to the optical axis of the ophthalmic system. The method may also include directing a laser beam generated by a laser of the ophthalmic system at the IOL.

The invention discloses a glass-based circuit board defect detection method and system, and relates to the technical field of glass substrate defect detection.The method comprises the steps that an optical coherence tomography system with the fixed scanning resolution of 320 * 320 is used for collecting a tomographic image of a target area, three-dimensional reconstruction is conducted on the tomographic image, and a three-dimensional body data model is obtained; extracting a plurality of three-dimensional morphological characteristics such as defect depth, transverse distribution profile and defect internal refractive index unevenness from the model; and inputting the features into a defect classifier constructed based on a three-dimensional convolutional neural network for identification, and performing spatial position verification in combination with a known design layout to generate a final detection report. According to the method, the standardization of the detection process is realized through the fixed scanning resolution, and the efficiency and the result consistency are improved; by quantifying the refractive index non-uniformity in the defect, the optical property variation type defect in the material is effectively identified, and the detection depth and accuracy are enhanced.

The invention provides a silicon carbide crystal ingot defect detecting and cutting device based on optical coherence tomography, and belongs to the technical field of silicon carbide crystal ingot defect detecting and cutting. In order to solve the technical problems that after a traditional crystal ingot is cut, the detection efficiency is low, imaging is not timely, the imaging resolution is low, and the portability and the linkage performance are poor due to the fact that detection equipment and cutting equipment are separated, the adopted technical scheme is that the output end of an OCT module is connected with the input end of a sample arm module through a wire; the sample arm module is installed below the sample arm support through the sample arm lifting support, and supporting legs on the two sides of the sample arm support are installed on the base. A fixed seat is arranged right below the sample arm module, the fixed seat is mounted on the base through a lifting base, and a crystal ingot is placed on the fixed seat; rolling wheels are further arranged on the two sides of the fixing base and placed on the base, and a cutting line is further connected between the two rolling wheels; the method is applied to defect detection of the silicon carbide crystal ingot.

The invention discloses a control method for robot-assisted laser in-situ windowing, which comprises the following steps: receiving an execution instruction sent by a main control end through a robot catheter system, sending a laser fiber into a target artery, and enabling the laser fiber to be in accurate contact with a stent covering film; a laser energy closed-loop control subsystem is combined to accurately ablate holes in a stent covering film through a photochemical effect and a photothermal effect, and laser windowing is achieved; in the laser windowing process, the thickness of the blood vessel wall is measured in real time based on optical coherence tomography, and the laser ablation process is detected based on photoacoustic monitoring, so that the laser power is dynamically adjusted, and it is ensured that the thermal damage range in the laser windowing process is smaller than 200 microns. Therefore, accurate creation of the channel between the aortic dissection false cavity and the true cavity is achieved, hemodynamic balance is recovered, the operation accuracy is improved, and the risk of complications in the perioperative period is reduced.

The invention discloses a retina OCT (Optical Coherence Tomography) image denoising method based on zero sample learning. The method comprises the following steps: generating a noise independent image pair for a single noisy image by adopting a CDIS (Coherent Discrete Identifier) The method comprises the following steps of: carrying out de-noising by using an MLFSnet network (AF-MSDSConv, Aap-LSM, SA, a reconstruction module); using RMSE symmetry and consistency joint loss zero sample training; in the reasoning stage, an original image is directly input, and a same-resolution de-noising result is output. The speckle noise can be significantly suppressed and the layered structure of the retina can be retained without noise-free true values or pairwise data, so that the retina can be used while being shot.

Systems and relative method of monitoring the state of a subject's retinal disease employ remote based OCT imaging of a subject's retina. A method includes receiving optical coherence tomography (OCT) image data of a retina of a subject for each of a series of OCT imaging sessions of the retina. The OCT image data of the retina is processed to determine a series of measured extent values. Each of the one or more measured extent values is indicative of a respective extent of the retinal disease.

A needle is provided for subretinal injection. The needle may comprise a concentric assembly 100 forming a lumen 140 for a substance to be injected below a retinal surface layer, the concentric assembly comprising an outer tube 130, an intermediate tube 120, and an inner tube 110 comprising a tip 116 for piercing the retinal surface layer, wherein the tip is at a distal end of the inner tube, wherein the inner tube extends axially from a distal end of the intermediate tube, wherein the inner tube is at least partially translucent to optical coherence tomography (OCT), wherein the tip is beveled, wherein the inner tube has an inner tube outer diameter of 120µm or less at an onset of the bevel. Furthermore, a needle system is provided which comprises the needle and a flexible tubing to supply the substance to the needle.

Deep learning methods and systems for detecting biomarkers within optical coherence tomography volumes using such deep learning methods and systems are provided. Embodiments predict the presence or absence of clinically useful biomarkers in OCT images using deep neural networks. The lack of available training data for canonical deep learning approaches is overcome in embodiments by leveraging a large external dataset consisting of foveal scans using transfer learning. Embodiments represent the three-dimensional OCT volume by “tiling” each slice into a single two dimensional image, and adding an additional component to encourage the network to consider local spatial structure. Methods and systems, according to embodiments are able to identify the presence or absence of AMD-related biomarkers on par with clinicians. Beyond identifying biomarkers, additional models could be trained, according to embodiments, to predict the progression of these biomarkers over time.

Blood flow information, including blood flow velocity information, is extracted from speckle information of a time series of structural optical coherence tomography (OCT) images. Flow information can be determined from high-frequency information of the OCT images, a speckle density of the OCT images, from a co-occurrence matrix applied to the OCT image, from a machine learning analysis of an input OCT image, or the like. A flow profile analogous to a pulse waveform is then generated as a time series of the extracted flow information.

The invention discloses an OCT-based light splitting frequency doubling method and a measuring system, and relates to the technical field of optical coherence tomography, and the method comprises the following steps: a light beam emitted by a light source is divided into a first light path and a second light path through an optical fiber coupler, the first light path is transmitted to a collimating lens group through a scanning detection part optical fiber interface, and is transmitted to a second light path through a two-dimensional scanning part; scanning an object to be measured through a focusing lens; a second light path enters the reference arm part, sequentially passes through the polarization regulator and the reference arm collimating mirror group and then is reflected by the reference arm reflecting mirror group; the first light path and the second light path interfere with each other in the optical fiber coupler, and interference light enters the light splitting path detection component after being generated. Interference light is dynamically distributed to multiple detector channels through the light splitting element, efficient multiplexing of a light path is achieved, and different sampling rate and resolution requirements are flexibly met under the control of the main control card through three modes of light splitting, optical switch switching and scanning light splitting.

Disclosed techniques evaluate the visual field of a patient's eye using deep learning techniques. A computer system obtains a plurality of cross-sectional scan images of a retina captured by an optical coherence tomography (OCT) device. The retina has an inner retinal layer. A retinal optical texture analysis (ROTA) map of the inner retinal layer is generated from the plurality of cross-sectional scan images. The ROTA map includes a plurality of pixels, and each pixel of the ROTA map corresponds to a respective optical texture signature value S providing information about tissue composition and optical density of the inner retinal layer at a respective retinal location. The computer system applies a machine learning model to process the ROTA map of the inner retinal layer to determine visual field sensitivity of the retina.

The invention discloses a high-throughput automatic structure-streaming imaging method and device, and belongs to the technical field of biomedical engineering.The device comprises an imaging detection module used for achieving imaging detection of a printing model, the imaging detection module is provided with two combined optical paths of optical coherence tomography, fluorescence microscopic imaging or confocal microscopic imaging; and the data support module is used for realizing hydrogel interface microscopic observation under rheological loading, and the data support module is integrated with a rheometer based on a combined optical path of optical coherence tomography and fluorescence microscopic imaging. The OCT and FM combined common-path multi-mode imaging system is integrated with the rheometer and the cooperative control module, and a three-dimensional quantitative characterization method of parameters such as space collapse degree is combined, so that synchronous observation and accurate analysis of a microscopic-macroscopic structure and stress-strain are realized.

One aspect of the present disclosure relates to an optical coherence tomography apparatus for imaging a patient's eye, more particularly to a sweep-source optical coherence tomography apparatus, the apparatus comprising a light source configured to generate a light beam, the light beam being distributed to a two-dimensional region on the patient's retina, and a camera equipped with a 2-D sensor, the apparatus being configured to bundle a plurality of pixels on the sensor such that each data point includes a composite response from a plurality of bundled pixels.

The invention relates to a three-dimensional fluorescence tomography imaging device, which comprises a shooting part, an image processing part, a plurality of exciting light emitting parts, a tomography light emitting part, a first reflecting mirror, a beam splitter, a second reflecting mirror, a multi-wavelength light source part and a wavelength adjustable light filter, the image processing part calculates the depth corresponding to each fluorescent image according to the depth information in the optical coherence tomography image, and combines each fluorescent image according to the depth to form a three-dimensional fluorescent tomography image of the shooting object corresponding to the first fluorescent developing agent.

This invention discloses an ophthalmic disease diagnostic system based on optical coherence tomography (OCT), comprising: an image data acquisition module for acquiring OCT image data; a feature extraction and similarity calculation module for extracting OCT image feature representations and layered structural features of the macular region, calculating macular structural similarity information between different OCT image data, and constructing a structural similarity alignment matrix reflecting the structural similarity among all OCT images; simultaneously constructing an association matrix representing the correspondence between OCT images and disease categories; and a model training module that introduces the structural similarity alignment matrix and association matrix as joint supervision signals into the objective function, adaptively learning to obtain an ophthalmic disease diagnostic model; the ophthalmic disease diagnostic model outputs a classification diagnostic result representing the probability that the input OCT image data belongs to various ophthalmic diseases. This invention achieves automatic identification and classification of ophthalmic diseases, with high diagnostic accuracy and good robustness.

An analysis processing apparatus includes an acquisition unit, an analyzer, and a display controller. The acquisition unit is configured to acquire two or more pieces of motion contrast data of a cross-section at interscan time intervals different from each other. The two or more pieces of motion contrast data are acquired by repeatedly performing B-scans three or more times on the same cross-section in an object to be measured. The analyzer is configured to perform analysis processing for obtaining a time variation of a motion contrast intensity in the cross-section based on the two or more pieces of motion contrast data. The display controller is configured to cause an image representing the time variation obtained by performing the analysis processing to be displayed on a display means.

The invention relates to a device (1) for performing optical coherence tomography (OCT), comprising: an interferometer (1a) for guiding a light beam (4) into a dispersive object to be examined, which object influences the propagation rate of light (4a, 4b, 4c) depending on the frequency thereof; and an evaluation unit (5) for detecting a length (3) of the object. With respect to the problem of detecting the length of a transilluminated object as reliably as possible by means of a device for performing optical coherence tomography, the device is characterised in that the evaluation unit (5) analyses interferometric data obtained from an OCT signal or interference spectrum and determines dispersion-related data of the interferometric data and determines the length (3) using the dispersion-related data.

Laser welding device (1) for producing a welded joint (S) in the area of ​​a joint between at least two components (2, 3) by means of an emitted laser beam (LS) with - a laser scanner (4), having - at least one laser emitter (4.1) designed to emit laser radiation (L), and - at least one laser optic (4.2) designed to shape, direct and focus the emitted laser radiation (L) to form the laser beam (LS), - a measuring unit (4.3) which is designed, - to emit at least one measuring beam (MS) in such a way that it is guided to a predetermined point of impact on at least one of the components (2, 3), - to detect reflected components of the measuring beam (MS) and - to automatically determine depth data of the point of impact based on optical coherence tomography using measurement beam data (MD1 to MD3) determined from the reflected components, - a control unit (4.4) which is designed, - before welding, the measuring unit (4.3) is controlled so that it automatically scans a surface of the components (2, 3) in a grid-like scan movement using a measuring beam (MS), automatically determines geometric parameters of the components (2, 3) from depth data determined at the respective point of impact from measuring beam data (MD1), and stores the parameters as reference data in a database for different positions of the surface of the components (2, 3). - then, during welding, to control the laser scanner (4) so ​​that it directs the laser beam (LS) onto the surfaces of the components (2, 3) and at least partially melts the components (2, 3), and simultaneously to control the measuring unit (4.3) so that it automatically scans a generated melt (SM) using a measuring beam (MS) in a scanning motion and automatically determines depth data of a vapor capillary (DK) generated in the melt (SM) based on optical coherence tomography for different positions of the melt (SM) from measuring beam data (MD2), and - to compare the position-related depth data of the vapor capillary (DK) with the position-related reference data in a comparison process carried out simultaneously with or following welding, and to determine a position-related comparison depth of the vapor capillary (DK) in comparison to an initial state of the components (2, 3) existing before welding, wherein the measuring unit (4.3) is configured to emit at least one measuring beam (MS) into the at least one laser optic (4.2) in such a way that it is guided together with the laser beam (LS) to its point of impact.

The application discloses a kind of glass-based circuit board defect detection method and system, it is related to glass substrate defect detection technical field, including using the tomogram of target area of optical coherence tomography system with scanning resolution fixed as 320×320 is collected, and it is three-dimensional reconstruction, obtains three-dimensional body data model.Extract defect depth, transverse distribution profile and defect internal refractive index inhomogeneity etc. from model Multiple three-dimensional morphological characteristics.Classifier based on three-dimensional convolutional neural network is identified by inputting characteristics, and spatial position verification is carried out in combination with known design layout, and finally the detection report is generated.The method realizes the standardization of detection process by fixing the scanning resolution, improves the efficiency and result consistency;By quantifying the internal refractive index inhomogeneity of the defect, the material internal optical property variation type defect is effectively identified, and the detection depth and accuracy are enhanced.

Optical coherence tomograph for examining an eye (3) which features: - a lighting device (4, 5) for providing source radiation, - an illumination and measurement beam path (7) comprising a splitting element (6) for splitting the source radiation into illumination radiation (B) and reference radiation (R), with the illumination radiation (B) illuminating an illumination field in the eye (3) and collecting backscattered illumination radiation in the eye (3) as measurement radiation (M), wherein the illumination and measurement beam path (7) comprises a scanner (13) for adjusting the lateral position of the illumination field in the eye (3) and a front optic (12), - a reference beam path (8) which provides for the reference radiation (R) an optical path length (21) corresponding to an optical path length from the splitting element (6) to the illumination field and back to a superposition point (71), - a detection beam path (14, 15, 17) which receives the measuring radiation (M) from the illumination and measuring beam path (7) and the reference radiation (R) from the reference beam path (8) and superimposes them at the superposition point (71) and directs them onto a detector (19), - the illumination and measuring beam path (7) further exhibits - a beam splitter (11) for separating the measuring radiation (M) collected by the eye (3) from the illumination radiation (B) directed to the eye (3), wherein the beam splitter (11) directs the separated measuring radiation (M) to the detection beam path (14, 15, 17), and - a light splitting element (32, 34) that splits the illumination radiation (B) into spots in order to illuminate the retina (2) with a multi-spot pattern, characterized in that - the lighting device (4, 5) is tunable with respect to the wavelength of the source radiation, - the detector is an area detector (19), - the detection beam path further - an optical element (14) acting only on the measuring radiation (M), which interacts with the front optics (12) and adjusts the numerical aperture with which measuring radiation (M) is collected in the eye (3), and - an aperture (15) which is arranged in front of the area detector (19), in or near an intermediate image plane and which defines the size of an object field from which the measuring radiation (M) reaches the area detector (19), and - wherein the aperture prior to the area detector is designed as a first multi-hole aperture (15) and a first multi-lens array (36) is arranged between this multi-hole aperture and the area detector (19), which focuses the radiation emanating from each hole of the first multi-hole aperture (15, 15a, 15b) onto a pixel area of ​​the area detector (19) which has a spatial resolution of 4 to 100 pixels in one direction, preferably as a 2D pixel area with 5 to 50 pixels or 5 to 40 pixels per direction.

The invention discloses a cross-scale structure-material rheology detection system, which belongs to the technical field of biomedical engineering, and realizes cross-scale geometric imaging by combining optical coherence tomography and laser scanning confocal or fluorescence imaging common optical path design. Geometric-mechanical synchronous observation and analysis of in-situ real-time monitoring and cross-scale synchronous monitoring of stress and strain of a multi-scale structure are supported; the biological 3D printing based on the six-axis robot supports in-situ printing on a rheology detection platform, so that a standardized rheology detection model of a bionic tissue inherent structure is constructed, and automatic and high-throughput bio-ink geometry-mechanics synchronous observation is supported; a multi-physics field coupling measurement model in a dynamic microenvironment is constructed, and a printing structure-material mechanics coupling mechanism is analyzed based on a rheology-structure data quantitative mapping model of deep learning. The system is based on rheology detection of the structure, and the theoretical and technical limitations of multi-scale structural mechanical property monitoring are solved.

A method and system for correcting axial motion in optical coherence tomography (OCT) data is provided. The method includes collecting, by a processor disposed of in an OCT device, a volume scan of an eye; segmenting a first retinal layer within the volume scan; applying an algorithm for periodic pattern removal of OCT data in the first retinal layer by determining a model of a Fourier transform applicable to a segment of the first retinal layer; and removing transform frequencies associated with the OCT data using the model of the Fourier transform; determining a measure of an amount of axial motion in accordance with a difference of an amount of OCT data captured on a surface of the first retinal layer before and after application of the algorithm for periodic pattern removal; and correcting, the amount of axial motion in the OCT data of the first retinal layer.

A system includes a light source configured to emit treatment light and an optical coherence tomography (OCT) device. The system further includes a surgical instrument including a distal portion configured to be inserted into an eye of a patient. An optical fiber is coupled to the light source and to the OCT device and (a) conducts the treatment light along the distal portion to be emitted from a tip of the distal portion and (b) conducts detection light from the OCT device along the distal portion to be emitted from the tip of the distal portion and conduct a reflected portion of the detection light to the OCT device. A controller obtains image data from the OCT device and operates the light source per the image data, e.g., selects a number of pulses for the treatment light based on a thickness of a trabecular meshwork apparent in the image data.

The invention relates to the technical field of optical engineering, and discloses a multispectral fusion optical coherence tomography imaging method, which adopts a multispectral light source to cooperatively collect OCT signals, fully utilizes the absorption / scattering characteristic difference of different spectrums on different components of a sample, obtains richer sample structure and component information, and improves the imaging accuracy. A data basis is provided for follow-up accurate identification of sample components, synchronism and wavelength accuracy of multispectral signals are ensured through synchronous driving control and accurate spectrum calibration, and information distortion caused by spectrum deviation is avoided; a registration algorithm based on SIFT feature point matching is adopted, high-precision spatial alignment of multispectral OCT images is achieved, the problem of dislocation between different spectral images is solved, the whole imaging process gives consideration to imaging efficiency and imaging quality, the imaging time is shortened through a synchronous collection mode, the method is suitable for dynamic sample imaging, parameter adjustability of all modules is high, and the method is easy to implement. Flexible adjustment can be performed according to different sample characteristics, and the application range of the method is expanded.