973 results about "Microscopy" patented technology

The invention relates to the technical field of chip optical detection, and discloses a high-precision defect detection method and system for a semiconductor chip. Initial detection data are obtained through laser scattering and photo-thermal microscopic detection, key visual features are extracted and converted into a multi-dimensional visual feature matrix, and the multi-dimensional visual feature matrix is used for detecting the defects of the semiconductor chip; according to the method, a fuzzy sensing area is positioned and potential defects are identified by using a map clustering algorithm, adaptive analysis of a supplementary visual angle is carried out and supplementary detection data is generated, and finally defect identification is carried out through the supplementary data and popularity information to obtain a chip defect result. The method effectively improves the precision and reliability of defect detection, especially has obvious advantages in recognition of complex and fuzzy regions, and solves the problem of insufficient precision of single-path optical imaging detection in the prior art.

A composition of matter is provided comprising hierarchically ordered crystalline microporous material having well-defined long-range mesoporous ordering of lamellar symmetry. The composition possesses mesopores having walls of crystalline microporous material and a mass of mesostructure between mesopores of crystalline microporous material. Long-range ordering is defined by presence of secondary peaks in an X-ray diffraction (XRD) pattern and / or lamellar symmetry observable by microscopy.

The invention provides a microscopic automatic focusing method and system based on image gray histogram characteristics, and the method comprises the steps: collecting an image sequence under different focal lengths, carrying out the fuzzy processing, extracting a gray histogram of each frame of image, and calculating the peak position and full width at half maximum of the histogram as the evaluation characteristics of the image definition; calculating the variance of each feature and automatically allocating a weight according to the relative response degree; and finally, comprehensively evaluating the image definition through a weighted definition scoring function, and selecting the focal length corresponding to the image with the optimal score as the optimal focusing position. The method is based on the global features of the gray histogram, is high in anti-noise capability, is adaptive to different imaging scenes through weight adaptive adjustment, is low in calculation complexity, supports real-time focusing, is especially suitable for high-noise fluorescence microscopic imaging scenes, is high in system portability, is low in operation threshold, and effectively improves the accuracy and stability of microscopic automatic focusing.

The invention discloses a reticulocyte recognition and grading system based on a blood smear, and particularly relates to the field of medical cell morphology examination, and the system comprises an image acquisition module, a staining normalization module, an instance segmentation module, an erythrocyte classification module, a reticulocyte grading module and a statistics output module. The image acquisition module adopts an automatic microscope platform to continuously scan the blood smear under a 100-time visual field, acquires a high-quality bright field channel image through an automatic focusing technology, and monitors image definition, contrast and illumination uniformity; the statistical output module is used for calculating the proportion and bluish violet intensity statistics of reticulocytes of each level, and generating a visual quality control result and a diagnostic report; according to the invention, full-automatic processing from samples to reports is realized, interpretability and high classification precision are both considered, subjective difference and omission ratio of manual microscopic examination are significantly reduced, and efficiency and consistency of clinical detection are improved.

The invention relates to the technical field of biological microscopic imaging, and discloses a denoising and deconvolution super-resolution imaging method and device based on optical switch molecules, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring a plurality of fluorescence image sequences, wherein to-be-imaged structures of images in the fluorescence image sequences are marked by optical switch fluorescence molecules; each sequence is generated by utilizing the photoswitch characteristic of the photoswitch fluorescent molecules, and the sequence comprises at least one bright-state image and at least one dark-state image; performing de-noising processing on each bright-state image and each dark-state image in the plurality of fluorescence image sequences to obtain de-noised images; and carrying out deconvolution processing on the denoised image to obtain a corresponding super-resolution imaging image. The requirement for imaging equipment is low, the method can be used for various imaging technologies, the size of an imaging area is not limited, the requirement for large-view-field fixed biological sample imaging in an application scene can be met, and fixed cell and tissue large-view-field super-resolution imaging is achieved.

The invention discloses a multi-mode image information fusion method based on deep learning, and relates to the technical field of image processing, and the method comprises the steps: obtaining image data of an optical microscopic mode and an electronic microscopic mode, and carrying out the spatial resolution alignment; a quantum entangled state light field coding method is adopted for the optical microscopic image data to generate quantum enhancement features, and topological persistent coherence analysis is performed on the electronic microscopic image data to extract multi-scale structural features; the features are mapped to a tensor space, cross-modal feature fusion is carried out through a tensor ring decomposition method of dynamic rank adjustment, a joint representation tensor is generated, physical constraint reconstruction is carried out on the joint representation tensor, and a super-resolution fusion image is generated. Through fusion of quantum enhancement features and multi-scale topological features, tensor ring decomposition of dynamic rank adjustment and Tucker decomposition dimension reduction compression, efficient fusion of high-resolution images is achieved, calculation redundancy is reduced, and processing efficiency is remarkably improved.

The invention discloses a rock and ore microscopic image splicing method and system based on deep learning, and relates to the field of image processing and the technical field of microscopes, and the method comprises the steps: obtaining a local rock and ore microscopic image of a rock and ore slice, carrying out the preprocessing of the local rock and ore microscopic image, and carrying out the overlapping region coarse registration of the preprocessed local rock and ore microscopic image through a phase correlation method; based on an improved image feature detection model, basic features and description features in the local rock and ore microscopic image after coarse registration are extracted, and local image features of the local rock and ore microscopic image are obtained; performing feature matching on the local image features of the two groups of local rock and mineral microscopic images by using an image feature matching model to obtain a matching corresponding relation of the local image features; and based on an image fusion algorithm of a homography matrix and a partial differential equation, splicing and optimizing the local rock and ore microscopic images in combination with a matching corresponding relation of local image features, and generating a large-view-field rock and ore microscopic image. According to the method, the complex transformation between the images can be better processed.

The invention discloses a mixing parameter regulation and control method and system for an SBS-T modified asphalt mixture and a terminal. The method comprises the following steps: analyzing a modification mechanism through a scanning electron microscope and X-ray photoelectron spectroscopy combined technology, dividing three stages of rapid melting and the like, and establishing a temperature-viscosity model; constructing a multi-scale capture system by using an atomic force microscope, a Fourier transform infrared spectrum and a dynamic shear rheometer; designing a five-factor three-level test matrix by adopting a response surface method, and establishing a road performance prediction model in combination with a BP neural network; mixing parameters are optimized in a multi-objective mode based on a genetic algorithm, and dynamic correction is achieved through an Internet of Things sensor and Kalman filtering. The system comprises a mechanism analysis module, a multi-scale detection module, a terminal integrated storage unit, a processing unit and a man-machine interaction unit. According to the scheme, the limitation of traditional single-factor analysis is broken through, microscopic and macroscopic collaborative optimization and dynamic parameter regulation and control are achieved, and the construction adaptability and precision are improved.

The invention relates to the technical field of biological microscopic imaging, and discloses a deconvolution super-resolution imaging method and device based on deep learning denoising and a medium. The method comprises the following steps: acquiring a to-be-denoised image of a to-be-imaged structure marked by fluorescent molecules; de-noising the image to be de-noised by using a preset image de-noising neural network to obtain a de-noised image; a training data set for training the network is generated by utilizing the optical switch characteristics of optical switch fluorescent molecules, and the optical switch fluorescent molecules are used for marking to-be-imaged structures of samples in the training data set; the emission spectrum of the fluorescent molecules is overlapped with the emission spectrum of the fluorescent molecules of the optical switch; and carrying out deconvolution processing on the denoised image to obtain a super-resolution imaging image. According to the invention, the large-scale and high-quality true value image is obtained by using the optical switch characteristic of the optical switch fluorescent molecules, and the denoising effect of the image denoising neural network is improved; and denoising the image by using the network, and then carrying out deconvolution on the denoised image to realize large-view living cell single-frame super-resolution imaging.

A deep learning-based super-resolution fluorescence lifetime imaging microscopy (SR-FLIM) method includes the steps of: S1, performing fluorescence microscopic imaging on a sample to obtain confocal intensity images and stimulated emission depletion (STED) intensity images at a same location; S2, co-registering the acquired confocal and STED intensity images; S3, pairing the co-registered confocal and STED intensity images as input (Input) and ground truth (GT) to assemble a dataset; S4, partitioning the dataset into training and validation sets following a predefined ratio; and S5, constructing a network, and selecting hyperparameters and an optimizer. This method may achieve SR-FLIM within a conventional confocal FLIM system, surpassing spatial resolution limitations of FLIM, breaking through resolution barriers of conventional optical microscopy, while preserving normal fluorescence lifetime characteristics of fluorescent probes.

The invention presents a lensless Fourier ptychographic diffraction tomography microscopy imaging method based on wavelength scanning. The technique uses only a wavelength-tunable light source for illumination on a lensless microscope experimental system to collect a series of coaxial holograms. Then, the three-dimensional scattering potential spectrum is filled using an iterative Fourier ptychographic method to restore the three-dimensional refractive index distribution of the sample directly. The present invention does not require complex modifications to traditional lensless on-chip microscopes. It can endow lensless on-chip microscopes with the ability of pixel super-resolution three-dimensional tomographic imaging.

The invention discloses a depth physical parameter integrated network and method for lensless microscopic imaging, and the method comprises the steps: firstly building a physical forward model based on fractional Fourier transform, and quantizing a propagation distance into an adjustable fractional order parameter; secondly, constructing a multi-stage progressive network framework, wherein each stage comprises a physical model fidelity module and an image regularization updating module; a self-adaptive near-end network and a self-adaptive compression-excitation network are innovatively embedded in a regularization module, and real-time self-adaption of network parameters to imaging conditions is achieved; finally, end-to-end single-frame reconstruction is realized, complex amplitude information is directly recovered from a single intensity observation image, and retraining for different imaging parameters is not needed. According to the method, the reconstruction physical reliability, the noise robustness and the cross-scene generalization ability are remarkably improved, meanwhile, the lightweight real-time deployment requirement is met, and the method is suitable for lens-free microscopic imaging scenes such as biological living body observation and portable pathological diagnosis.

The present application discloses methods for characterising vesicles. The method involves (1) a sample preparation step, comprising providing a test specimen with vesicles attached to a substrate, wherein the vesicles are labelled with one or more fluorescent probes; (2) an image acquisition step, comprising imaging said one or more fluorescent probes on the vesicles to generate image data; (3) an image processing step which identifies individual vesicles and constructs a feature vector containing characterising parameters for individual vesicles characterising parameters (including a morphological parameter) (4) a data transformation step to calculate modified feature vectors of lower dimensionality for individual vesicles; and (5) a characterisation step, which characterises the vesicles based on the modified feature vectors. The application also discloses methods for immobilising vesicles on a substrate, as well as substrates functionalised to capture vesicles.

The invention discloses a method for segmenting different strata series of stratified shale and identifying oiliness, and belongs to the field of oil-gas exploration. The invention discloses a strata division method based on XRF (X-Ray Fluorescence) mineral scanning and single polarization-fluorescence-laser confocal optical lens combined observation, which realizes accurate identification and segmentation of micron-sized strata boundaries of a layered rock core sample from different scales, and performs group component extraction on segmented independent strata. And carrying out chromatography-mass spectrometry analysis and FT-ICR MS analysis on the extracted saturated, aromatic, non-aromatic, leached and other family components. The TSF spectrum, light and heavy components, biomarker compounds, non-hydrocarbon compounds and other data obtained through the experiments are comprehensively analyzed, layering scale oiliness difference quantification and oil source comparison are achieved, and the shale oil micro-migration phenomenon is determined. The influence of the heterogeneity of the layered rock core sample on a result obtained by a traditional analysis method is overcome. According to the technology, direct evidences are provided for accurate prediction of shale oil desserts, exploration risks are reduced, and economic benefits are improved.

The invention relates to the technical field of scanning electron microscopes, in particular to a scanning electron microscope which comprises a mounting frame, an electron microscope body, a vacuumizing mechanism, an adapter, a damping mechanism and a vacuum tube structure, the electron microscope body comprises a lens cone and a sample bin, and the vacuumizing mechanism is used for synchronously vacuumizing the lens cone and the sample bin; the damping mechanism is arranged between the mounting rack and the electron microscope main body; the adapter comprises an adapter tube, a first joint and a second joint, and the first joint and the second joint are arranged on the two sides of the adapter tube; the vacuum tube structure comprises a first flexible tube, a first rigid tube, a second flexible tube and a second rigid tube, and the first flexible tube and the second flexible tube are symmetrically arranged. Due to the fact that the flexible pipes are connected with the vacuumizing mechanism and the rigid pipe is connected with the electron microscope body, the symmetrical flexible pipes can balance pulling force in the vacuumizing process, the influence of the pulling force on the electron microscope body is reduced, the influence on the image quality is reduced, and the detection accuracy of the scanning electron microscope and the definition of images are effectively guaranteed.

The present invention relates to a colloidal composition comprising unmodified, discrete cellulose microparticles, such as a colloidal emulsion or colloidal gel, a method of preparing the colloidal composition and uses of the colloidal composition and cellulose particles The colloidal composition comprises a continuous phase and a dispersed phase, wherein the continuous phase is a liquid; wherein the dispersed phase comprises cellulose microparticles which are dispersed in the continuous phase of the colloidal composition, wherein the cellulose microparticles have a mean average particle length of from 0.1 to 20 µm a mean average particle width from 0.05 to 1.3 µm, and a maximum thickness not exceeding 0.2 µm determined by scanning electron microscopy; and an aspect ratio of length / width of 1 to 25, and wherein the colloidal composition has a flow index n of ≤ 1 determined by a rheometer at NTP (normal temperature (25°C) and pressure (1 atm)).

The invention discloses conductive silver paste for a solar cell and application of the conductive silver paste, and belongs to the technical field of conductive silver paste. According to the invention, the prepared silver paste is printed on a silicon wafer cell in a silk-screen printing manner, so that the good rheological property of printing can be obtained. And a rheometer is introduced for testing, and an SEM scanning electron microscope is introduced for checking the surface appearance of the silver grid line. The invention discloses a TOPCon silicon wafer for a silicon solar cell, which comprises the following components in percentage by weight: 82-90% of silver powder, 20-30% of glass powder and 20-30% of organic carrier. 2-5% of glass powder; and 8-13% of an organic carrier. The conductive silver paste with good rheological property is prepared by using a mixture of polyamide wax and hydrogenated castor oil in a mass ratio of 1: 1 as a thixotropic agent. The main grid silver paste for the silicon solar cell provided by the invention can be well matched with step-by-step printing of a cell piece, different proportions of the binder and the thixotropic agent are used, the photoelectric conversion efficiency is high, the peeling strength of the main grid is high, and the step-by-step printing main grid paste requirements of current different types of paste and cell pieces can be well met.

The invention relates to a method for predicting and evaluating the multi-axial fatigue life of an additive manufacturing K418B nickel-based superalloy. Comprising the following steps: S1, carrying out intrinsic characteristic characterization on a material, including mechanical property test and defect statistical analysis based on industrial CT and a scanning electron microscope; s2, carrying out single-axis, multi-axis and notch fatigue tests of the system, and analyzing the association between the microstructure and the fatigue life; s3, based on a fracture mechanics theory, correcting the traditional model by taking the equivalent crack propagation driving force delta KDF as a special parameter, and constructing a multi-axial fatigue life prediction model; s4, determining a calculation method of an equivalent stress strength factor Keq optimized by adopting a weight coefficient through a multi-axial fatigue test, and establishing a notched part service life prediction model considering crack propagation driving force; and S5, performing fatigue test verification by designing and manufacturing a simulation piece, and verifying the accuracy and reliability of the multi-axial fatigue life prediction model. According to the method, the prediction precision and the engineering applicability of the fatigue life of the additive manufacturing K418B alloy under the high-temperature multi-axial load are remarkably improved.

A strain measurement apparatus (100) for measuring mechanical strain in a sample (1) comprises a sample holder device (10) being arranged for accommodating the sample (1) to be investigated, an indenter device (20) including an indenter tip (21) and an actuator stage (22) carrying the indenter tip (21), wherein the actuator stage (22) is arranged for an application of a localized mechanical load along a load axis z1 via the indenter tip (21) at an indentation zone (2) of the sample (1) accommodated by the sample holder device (10), when the sample holder device (10) is in a load application position, a confocal Raman microscopy device (30) having an imaging axis z2 and being arranged for collecting at least one Raman spectrum in the indentation zone (2) of the sample (1), and a calculation device (40) being arranged for calculating at least one strain parameter based on the at least one Raman spectrum, wherein the sample holder device (10), the indenter device (20) and the confocal Raman microscopy device (30) are arranged such that the confocal Raman microscopy device (30) is capable of collecting the at least one Raman spectrum, while the sample holder device (10) is in the load application position, and the indenter device (20) and the confocal Raman microscopy device (30) are arranged such that the load axis z1 of the actuator stage (22) and the imaging axis z2 of the confocal Raman microscopy device (30) coincide. Furthermore, a strain measurement method for measuring mechanical strain in a sample (1) is described.

This disclosure provides microscope-based systems and methods that significantly improve image contrast and have better vertical / horizontal resolution. This disclosure uses confocal microscopy in replacement of conventional fluorescent microscopy, for example, adding a spinning disk or a confocal microscopy scanning unit on the prior invention. Using a spinning disk vastly improves the speed of image acquisition (allowing for imaging of fast dynamic processes and live specimens), and considerably reduces photo damage. Disclosed herein are some embodiments to demonstrate how to set up the spinning disk microscopy system for image-guided illumination and photolabeling.

The invention discloses a tumor heterogeneity analysis method and equipment based on super-resolution microscopic imaging, and relates to the field of medical image analysis. The method comprises the steps that a tumor imaging result is obtained, the tumor imaging result is generated through a super-resolution microscopic imaging technology, and the tumor imaging result comprises a tumor image; determining a target area of the tumor image; based on the tumor imaging result, quantitative analysis parameters are determined, and the quantitative analysis parameters are used for quantifying capillary features of at least two dimensions of tumor capillaries in the target area; on the basis of the quantitative analysis parameters, tumor heterogeneity analysis is conducted on different target areas, heterogeneity analysis results are obtained, and different target areas belong to the same tumor or different tumors. By adopting the scheme provided by the invention, the quantitative analysis parameters are generated based on the tumor imaging result, and quantitative analysis of tumor microvessel characteristics is realized, so that the accuracy of tumor heterogeneity analysis is improved.

A line-scan confocal scanning light-field microscopic imaging apparatus (10) and method. Said apparatus comprises: a microscope (100), a target biological sample being placed on a stage of the microscope (100); an excitation optical path (200), which is used for outputting a line-shaped light source for exciting fluorescence of the target biological sample; a line-scan hardware optical path (300), which is used for performing multi-dimensional scanning of the line-shaped light source to obtain a scanned light-field image; a microlens array (400), which is used for light-field modulation of the line-shaped light source to obtain a line-shaped light field; a camera (500), which is used for performing three-dimensional imaging on the basis of the line-shaped light field to obtain a three-dimensional image; and a control system (600), which is used for controlling the line-scan hardware optical path (300) and the camera (500) to execute a line-scan confocal action, so that the number of pixel rows exposed simultaneously at a same moment is consistent with a sample region illuminated by the line-shaped light source, so as to separate a sample fluorescence signal and a background fluorescence signal of the target biological sample, and, on the basis of the scanned light-field image and the three-dimensional image, generate a three-dimensional microscopic image with background fluorescence removed for the target biological sample. Therefore, the problem of background fluorescence in a scanning light-field microscopy system is solved.

The invention discloses an arbitrary-curved-surface wide-field-of-view turntable confocal tomography microimaging system and method, and belongs to the technical field of optical microimaging, the system comprises an illumination light source and a detection module, and the light output side of the illumination light source is provided with an illumination adaptive modulation module; a first relay lens module is arranged on the light output side of the lighting module; the light output side of the first relay lens module is provided with a zoom pinhole turntable; a second relay lens module is arranged between the zoom pinhole turntable and the sample; a dichroscope is arranged between the zoom pinhole turntable and the first relay lens module; a third relay lens module is arranged between the dichroscope and the detection module; the illumination adaptive modulation module generates a dynamic illumination template according to pre-stored curved surface morphology data; matching the illumination area to the current focal plane imaging area through the first relay lens module and the second relay lens module; and the signal synchronous processing system controls zoom compensation working parameters of the illumination adaptive modulation module, the detection module and the zoom pinhole turntable.

2.1. To increase the resolution of quasi-confocal line scanning microscopes with a main beam splitter for coupling the illumination and detection beam paths, the "re-scan" method involves descanning the sample light in the detection beam path by the illuminating beam deflection unit. After descanning, the sample light is scanned again in the detection beam path by moving it across the sensor behind the confocal aperture by a second beam deflection unit in a direction transverse to the linear focus. To increase resolution in the longitudinal direction, the illumination line can be structured. This optical arrangement has the disadvantage of significant light losses due to the large number of optical interfaces that must be passed through. 2.2. A microscope in which the illuminating beam deflection unit is optically positioned between the light source and the main beam splitter, allowing the sample light to reach the sensor away from the illuminating beam deflection unit (non-descanned), is more light-sensitive and flexible. A control unit, in one operating mode, moves the sample light beam across the sensor using only the second beam deflection unit. Depending on the operating mode, synchronization with the first beam deflection unit may be provided. 2.3. Due to its high light sensitivity, the microscope is particularly suitable for fluorescence microscopy.

A spectroscopy and microscopy system and method include a source of pulsed infrared light generating pulsed infrared excitation light for exciting a sample, such that the pulsed infrared light selectively heats the sample by absorption of the pulsed infrared light and allows the sample to cool. A source of probe light generates probe light for illuminating the sample. A detection element detects a signal indicative of selective heating of the sample by the excitation light. A processor receives the signal indicative of the selective heating of the sample, computes a time rate of local temperature rise in the sample to obtain instantaneous absorption in the sample, and, using the instantaneous absorption, generates a spectrum related to the sample.

A heating and cooling system for in-situ electron microscopy capable of independent temperature control of a MEMS sample support coupled to the control of a thermoelectric device is disclosed. The thermoelectric device heats and cools components of the in-situ electron microscopy system while a heating element on the MEMS sample support precisely controls the sample temperature.

The invention relates to the technical field of optical elements, in particular to a microscope lens for an ultra-long working distance. The microscope lens comprises a lens cone, and a first lens group, a diaphragm and a second lens group which are coaxially arranged in the lens cone. The first lens group is used for collecting and pre-collimating incident light, the diaphragm is used for limiting the angle and light flux of incident light entering the second lens group, and the second lens group is used for performing residual aberration correction on light passing through the first lens group and the diaphragm; the first lens group comprises six lenses which are a first lens, a second lens, a third lens, a fourth lens, a fifth lens and a sixth lens in sequence from the object side to the image side; the lens II is an asymmetric biconvex positive lens; the lenses 3 to 6 are meniscus lenses; the second lens group comprises two lenses which are a seventh lens and an eighth lens in sequence from the object side to the image side, and the seventh lens and the eighth lens are both biconcave lenses. According to the microscope lens provided by the invention, high-quality imaging of the lens is also realized on the premise of realizing super-long working distance (600mm) microscopy.

The invention relates to the technical field of material analysis, in particular to a light microscope-field emission electron microscope combined shale rock slice analysis and identification method, which comprises the following steps of: firstly, combining a brightness distribution condition represented by a bright field image of a shale rock slice and a birefringence deviation condition represented by a cross polarization image from an optical angle; determining a mineral discrimination index representing an atomic number agent; applying offsets of different sizes based on the distribution condition of mineral discrimination indexes and the surface fluctuation condition of shale rock slices, and determining a position offset vector by combining gray scale gradient distribution on the basis; and finally, determining the cross-scale positioning and more accurate electron microscope objective table coordinates corresponding to each pixel point in combination with a position offset vector in a pixel coordinate conversion process based on an image physical distance scale and rotation translation processing, so that the cross-scale positioning accuracy of the optical microscope and the field emission scanning electron microscope is higher. The reliability of analyzing and identifying the shale rock slice is obviously improved.

The invention belongs to the technical field of heterogeneous phase intermetallic compounds, and discloses a ruthenium-germanium heterogeneous phase intermetallic compound and a preparation method and application thereof. The preparation method comprises the following steps: step 1, dissolving Ge precursor salt, Ru precursor salt and a carrier material in a water-soluble polymer solution; the mmol ratio of the Ru precursor salt to the Ge precursor salt is 0.05: (0.05-0.09); step 2, performing freeze drying treatment on a product in the step 1; 3, performing high-temperature heat treatment on the product obtained in the step 2 in a reducing atmosphere at the temperature of 800-1000 DEG C, and preparing the ruthenium-germanium heterogeneous phase intermetallic compound after the high-temperature heat treatment; according to the ruthenium-germanium heterogeneous phase intermetallic compound prepared through the preparation method, the ruthenium-germanium heterogeneous phase can be obviously observed through a spherical aberration electron microscope, the synergistic effect is generated through strong interaction among different components, the physical and chemical properties of the material can be obviously optimized, and when the ruthenium-germanium heterogeneous phase intermetallic compound is used as a catalyst, the catalytic effect is extremely good.

The invention discloses a threshold judgment method for eliminating loess collapsibility through microwave irradiation, relates to the technical field of data prediction and updating, and is used for solving the problem of insufficient collapsibility control effect evaluation means when the structural change is not obvious, and the method comprises the following steps: acquiring and preprocessing a collapsible loess sample to obtain initial physical information data of the collapsible loess sample; microwave irradiation experiment conditions are set, and the collapsibility coefficient change trend of loess under the conditions is calculated. And judging the change of the internal structure according to trend evaluation whether a temperature distribution analysis method is adopted, if the change is weak, further obtaining the microstructure characteristics of the sample and the change of mineral components, and comprehensively evaluating the collapsibility reduction degree. If the reduction degree is high, void ratio parameters are introduced to carry out quantitative analysis on the collapsibility change, and a scanning electron microscope or X-ray diffraction analysis is selected to verify whether the collapsibility change reaches an expected control target or not, so that the stability and safety of loess are ensured.