1222 results about "Electron microscope" patented technology

The invention provides a double-space fatigue electron microscope test system, which is applied to the technical field of material analysis, and comprises an electron microscope module, a fatigue loading module and a vacuum isolation damping module, the vacuum isolation damping module controls two spaces of the electron microscope module and the fatigue loading module to be communicated or independent; the fatigue loading module comprises a hydraulic loading actuator, an electromechanical loading actuator, a loading rod and a fixing clamp, the fixing clamp is used for clamping a to-be-tested sample, and the loading rod is used for stretching or extruding the to-be-tested sample; and the fatigue loading module is driven by the moving mechanism to reciprocate along the X axis to adjust the position of the to-be-tested sample or rotate along the X axis to realize switching of different stations. According to the double-space fatigue electron microscope test system, combined use or independent use of the electron microscope module and the fatigue loading module is realized, and adverse factors such as vibration and pulse generated by the fatigue loading module during electron microscope observation are improved; in-situ compensation is achieved by means of cooperation of loading force and displacement of the fatigue loading module, and the observation effect of the electron microscope is improved.

The invention relates to the technical field of transmission electron microscope in-situ experiments, in particular to a transmission electron microscope in-situ multi-field coupling experiment platform which comprises a sample rod, a carrying table, a thermoelectric chip, a magnetic field generating device and a flexible circuit board. A first mounting groove and a second mounting groove are formed in the carrying table; the thermoelectric chip is arranged in the first mounting groove, and a carrying part, an electrical control unit and a temperature control unit are arranged on the thermoelectric chip; the magnetic field generating device is arranged in the second mounting groove and can generate a controllable magnetic field on the carrying part; the carrying part is used for carrying a sample, the electrical control unit is configured to load and measure an electrical signal of the sample, the temperature control unit is configured to control and measure the temperature of the carrying part, and the transmission electron microscope in-situ multi-field coupling experiment platform provided by the invention realizes cooperative application and accurate control of an electric field, a magnetic field and a temperature field.

The invention discloses a method and device for identifying organic matter pores in a shale electron microscope scanning image, and the method comprises the steps: obtaining a shale scanning electron microscope original image, carrying out the manual marking, and generating an original image and mask image data set; performing synchronous data enhancement on the data set and dividing a training set and a verification set; constructing an improved U-Net model containing a multi-scale feature fusion input module, a residual attention module and a wavelet domain feature enhancement center module; training the model by adopting a dynamic mixed loss function and an AdamW optimizer; and verifying the model through an average intersection-to-union ratio, a pore Dice coefficient and a pore error, and identifying the pores of the image to be processed after reaching the standard. The device correspondingly comprises an image acquisition annotation module, a data preprocessing module, a model construction module, a training module, a verification module and a pore recognition module. According to the method, full-automatic identification is realized, the multi-scale pore segmentation precision and the low-porosity sample adaptability are improved, and the efficient characterization requirement of the shale gas reservoir is met.

The invention discloses an integrated circuit equipment data optimization monitoring system and method based on big data, and relates to the technical field of integrated circuit manufacturing. The method is used for solving the problems of insufficient multi-physical field monitoring, difficulty in abnormal traceability and lack of closed-loop control in plasma etching. A plasma sheath thickness inversion model and an etching selection ratio model are constructed by collecting radio frequency reflection phase, mass spectrum ion strength and wafer temperature data, and process parameter-plasma state dynamic coupling is established. Interference image distortion features and electron microscope size data are fused, micro-groove geometric parameters are analyzed, morphology instability risk indexes are generated, and nanoscale early warning is achieved. And designing a dual-channel fusion network, embedding a physical constraint attention mechanism, and generating an etching rate optimization instruction. On the basis of incremental learning, model parameters are updated online, a'monitoring-decision-feedback 'closed-loop system is formed, anomaly detection sensitivity and decision reliability are improved, and technical support is provided for intelligence of integrated circuit equipment.

The invention relates to the technical field of electron microscope sample pretreatment, and discloses a critical point drying control method and device based on online near-infrared monitoring, and the method comprises the steps: obtaining infrared spectrum data, and unmixing the spectrum data to obtain a feature data set of a solvent; outputting a to-be-corrected signal according to the feature data set, correcting the to-be-corrected signal with preset data, and determining a signal feature of the solvent; carrying out dynamic correction on the signal characteristics and a preset characteristic matrix, outputting concentration time sequence data of the solvent, carrying out steady state judgment by combining a preset convergence threshold value, and determining a critical state of the solvent; acquiring control strategy data according to the critical state, analyzing the control strategy data into execution response characteristics, performing multi-channel mapping and correction processing, and outputting a process control signal; and performing control gain correction on the process control signal to finish closed-loop feedback control of the final drying process. The method is based on multi-solvent spectrum sensing and concentration dynamic analysis, and self-adaptive closed-loop control of the critical point drying process is achieved.

The invention discloses a machine vision-based automatic identification and calculation method for pore change of a rock section under an SEM (scanning electron microscope), and the method comprises the steps: obtaining original image data of the rock section through a scanning electron microscope, transmitting the original image data to a machine vision SEM pore intelligent quantification cloud platform, and dividing the original image data into a plurality of image sub-regions which are not overlapped with each other; calling a special threshold inversion model to analyze the gray information of each sub-region, and determining a dual-phase pore segmentation threshold; carrying out edge extraction on the sub-regions after threshold processing by adopting a pore edge gradient enhancement algorithm; performing topological structure analysis on the intermediate image data by using a biphase pore topological inversion model, constructing and optimizing a pore space topological network, and eliminating false pore structure data; and according to the optimized pore space topology network, integrating calculation results of all the sub-regions to obtain a pore change identification calculation result of the whole rock section. The method improves the pore identification precision and processing efficiency, and adapts to different types of rock samples.

The invention discloses a microscopic crack dynamic in-situ characterization method, and relates to the technical field of crack in-situ detection. According to the method, a plurality of hardened cement paste bodies are soaked in a sulfate solution, the porosity development trend of the hardened cement paste bodies is obtained through a nuclear magnetic resonance test and a mercury injection test in the soaking process, a test sample and a test sample are prepared after soaking is finished, and the crack propagation length of the test sample is measured through a scanning electron microscope. According to the distance gradient between the sampling angle of the test sample and the exposed surface, space coordinates of crack cracking are converted into a time process along the center axis of the test sample, a delay microscope is established on the microscale, and the test sample is scanned by using X-ray computed tomography equipment in a matched mode; a crack propagation animation image is formed based on a crack form between adjacent X-ray tomography slices, and a crack development process is obtained by continuously capturing high-resolution images, so that omission of time information is avoided, and in-situ detection of microscopic cracks in a hardened cement paste sample is realized.

The invention provides a method for measuring and calculating the article position of continuous silver ore with the particle size of 0.037 mm or above, and belongs to the technical field of mineral grade detection. The silver grade in the sample is measured and calculated through screening; leaching and measuring the content of silver monomers and continuous silver minerals, and reselecting to obtain a heavy sand product; carrying out fluorescent dyeing on the heavy sand product, and selecting monomer silver minerals; analyzing the color of the silver mineral through point scanning data of a scanning electron microscope, melting the monomer silver mineral to obtain the volume of the monomer silver mineral, and calculating the content of the monomer silver mineral; and carrying out conversion to obtain the continuous silver ore article position with the size of more than 0.037 mm. According to the method, the target mineral is rapidly and accurately obtained by adopting density medium reselection and fluorescent dye tracing; introducing a scanning electron microscope to measure and calculate the actual density of the silver mineral to replace the theoretical density, smelting the silver mineral in a mold, and carrying out volume measurement and calculation to obtain the actual metal amount closer to the actual silver mineral; measuring and calculating errors caused by impurities and irregular shapes of mineral particles are reduced; and the calculated grade of the silver mineral is more accurate.

Provided are anode material and lithium ion battery. The anode material includes a porous carbonaceous material. A silicon material is distributed inside the porous carbonaceous material. The anode material has a uniformity degree N, and N meets N>80%. In a Backscattered Electron (BSE) diagram obtained by scanning the anode material using a Scanning Electron Microscope (SEM) in a BSE automatic brightness and contrast mode, in any one of 100 μm*100 μm regions, the number of particles of the anode material having first brightness is recorded as C1, the number of particles of the anode material having second brightness is recorded as C2, the anode material has a uniformity degree N′=C2 / (C2+C1)*100% in the region, and the uniformity degree N of the anode material is an arithmetic mean of at least 10 N's.

The invention discloses chicken infectious anemia virus-like particles as well as a preparation method and application thereof. The invention discloses a virus-like particle vaccine for preventing chicken infectious anemia. The virus-like particle vaccine comprises VP1 and VP2 proteins of chicken infectious anemia viruses. Chicken infectious anemia VP1 and VP2 proteins are expressed by using a baculovirus expression system, immunoblotting shows that the two proteins are successfully expressed in sf9 cells, electron microscope observation finds that the expressed proteins can be autonomously assembled into complete chicken infectious anemia virus-like particles, and the chicken infectious anemia virus-like particles have a space structure similar to that of an original virus and can be used for preparing chicken infectious anemia virus-like particles. Meanwhile, the virus-like particles have the advantages of high titer, high safety, capability of stimulating humoral immunity and cellular immunity and the like. The preparation method disclosed by the invention is simple, can be used for preparing the antigen protein of the chicken infectious anemia virus on a large scale, is high in expression quantity and short in time consumption, greatly reduces the production cost, and is suitable for large-scale production.

The invention relates to the technical field of electron microscopic imaging, in particular to a correction method and device for geometric distortion in scanning electron microscope measurement, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a scanning electron microscope image of a standard sample; calculating an orthogonal included angle parameter and a length-width ratio parameter of the scanning electron microscope image; iteratively adjusting the angle correction parameter and the gain correction parameter under a fixed scanning rotation angle until a preset local calibration constraint condition is met; verifying the orthogonal included angle parameter and the length-width ratio parameter under each scanning rotation angle; and when the orthogonality included angle parameter and the length-width ratio parameter do not meet a preset global stability constraint condition, adjusting a relative gain coefficient, and re-executing calibration verification under each scanning rotation angle until a full-angle correction requirement is met. By adopting the method, high precision and stability of imaging correction can be kept in a full-angle range.

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 invention relates to an ultrafast electron microscopic imaging device and an imaging method thereof, in particular to a multi-mode multi-dimensional ultrafast electron microscopic imaging device and an imaging method thereof, and solves the problem that the existing electron microscopic imaging technical scheme is difficult to simultaneously meet the measurement requirements of high time-space-energy-momentum resolution and material diversification. The device comprises a sample cabin, an electron gun, a laser generation module, a secondary electron detector, an STEM detector, an in-cabin plug-in detection assembly, a plug-in camera and an energy filtering electron microscope assembly which are arranged below the sample cabin, and a vacuum system, a hollow sample table is arranged in the sample cabin, and at least two ultrafast pumping laser introduction windows are arranged on the cabin wall of the sample cabin; an ultrafast detection laser introduction window is arranged on the electronic gun shell; the secondary electron detector is arranged obliquely above the sample table; the STEM detector is arranged on the side cabin wall of the sample cabin and is positioned below the sample table; and the in-cabin plug-in detection assembly is arranged below the STEM detector.

A method for generating a training dataset for determining grain boundaries and minerals in a thin section of a rock sample, includes receiving the thin section of the rock sample, generating optical images of the thin section with an optical tool, generating mineral phase images of the thin section with an electron microscopy tool, computing first and second pseudo-images based on different features extracted from the optical images, generating the training dataset based on (1) the optical images, (2) the mineral phase images, and (3) the pseudo-images, and training a single deep neural network, DNN, based on the training dataset to simultaneously determine a mineral type and grain boundaries in the thin section of the rock sample.

The invention relates to a mechanical property simulation method for researching the service life of an aluminum alloy material for a reactor. The simulation method for the life period mechanical property of the aluminum alloy material comprises the following steps: S1, preparing initial, middle and last stage aluminum alloy samples according to a < 27 > Al-< 28 > Si transmutation path of the aluminum alloy material; s2, representing the sample by using a transmission electron microscope, obtaining precipitated particle parameters, calculating a volume fraction f, fitting f and operation time t, and constructing a precipitation evolution model f (t); s3, performing high-energy ion irradiation on the sample, and performing nanoindentation experiment and load-depth curve fitting to obtain nano hardness H; s4, based on the f (t), establishing a relation model of the nano hardness H and the irradiation damage D; and S5, calculating the change quantity of the nano hardness H, converting the change quantity into the change quantity of the yield strength, associating the irradiation damage D with the service time T, and establishing a life period yield strength prediction model. According to the method, the mechanical property of the aluminum alloy in the full service cycle of the research reactor can be accurately evaluated.

The invention relates to the technical field of material microstructure analysis, in particular to a method for manufacturing a transmission electron microscope sample based on image processing, which comprises the following steps: acquiring an initial optical image of an original sample to determine a target area and a corresponding positioning coordinate; preliminarily cutting according to the positioning coordinates to obtain a pre-processed sample containing a target area; performing optical imaging on the pre-processed sample based on a preset imaging condition to obtain a plurality of groups of gray level images, and determining the thickness distribution condition of the pre-processed sample according to the surface roughness of the pre-processed sample, the preset imaging condition and the plurality of groups of gray level images; and performing thinning treatment on the pre-processed sample to obtain a transmission electron microscope sample, generating a thinning path according to the thickness distribution condition to perform thinning treatment, determining the thickness change trend of the sample according to the real-time thickness of the sample in the thinning process, adjusting a preset thinning parameter according to the thickness change trend of the sample, and determining the thinning termination opportunity. The thickness of the transmission electron microscope sample is uniform, and the observation requirement is met.

The invention discloses a bus duct insulation performance evaluation system, and the system comprises a microscopic collection module which is used for collecting a joint interface microscopic image through a scanning electron microscope, and obtaining material distribution and defect parameters; the finite element analysis module is used for performing finite element analysis by utilizing the material distribution and defect parameters and calculating an electric field intensity gradient value; the electric field distortion identification module is used for identifying an electric field distortion area according to the electric field intensity gradient value and determining a partial discharge position coordinate; the dielectric parameter measurement module is used for measuring a dielectric constant and a loss factor at the partial discharge position coordinates to generate a change curve; the aging index calculation module is used for extracting peak value and slope characteristics from the change curve and calculating a material aging index; the correlation model building module is used for building a correlation model of the material aging index and the insulation strength and generating a prediction coefficient; and the evaluation optimization module is used for correcting the insulation performance evaluation value by using the prediction coefficient and outputting an optimization evaluation report.

The invention relates to a comprehensive optimization method and system for thermal conductive plastic performance in the technical field of new materials, and the method comprises the following steps: obtaining initial dispersion state data of an inorganic filler in thermal conductive plastic, and analyzing spatial distribution of filler particles through a scanning electron microscope to obtain characteristic parameters of random distribution of the filler; according to the characteristic parameters of the random distribution of the filler, calculating the heat transfer efficiency among filler particles by adopting a finite element simulation method, and determining the distribution rule of the phonon scattering phenomenon; according to the improved interface bonding strength parameters, the Monte Carlo method is adopted to simulate orientation distribution of filler particles in a matrix, and a preliminary scheme of filler orientation control is obtained; for optimization parameters of complex mold forming, a particle swarm optimization algorithm is adopted to adjust the filler proportion and distribution, and the structure configuration of the efficient three-dimensional heat conduction network is generated; and according to the structure configuration of the efficient three-dimensional heat-conducting network, the improvement degree of the heat-conducting plastic performance is analyzed and verified through a heat-conducting finite element, and final heat transfer efficiency data is obtained.

The invention relates to the technical field of semiconductors, and provides an amplification factor calibration method of a scanning electron microscope. The method comprises the following steps: in a TEM imaging mode, TEM measurement data of a key structure of a TEM sample is determined, and the TEM sample is a TEM sample with a known process structure size or clear lattice fringes; in an SEM imaging mode, determining an SEM measurement data set of the key structure of the TEM sample under different SEM amplification factors; each SEM magnification of the scanning electron microscope is calibrated based on the TEM measurement data and the SEM measurement data set. The method is easy and convenient to operate, does not need to depend on a standard sample, and is lower in calibration cost and higher in calibration accuracy.

Systems, methods, and media for calibrating a scanning electron microscope (SEM). The system includes a processor and a memory. The memory stores instructions that, when executed by the processor, configure the system to perform operations. An electron microscope image of a periodic structure is generated by the SEM. A Fourier transform of the electron microscope image is computed to generate a spectrum. Reciprocal lattice vectors are computed based on a known periodicity of the periodic structure. A pixel mask is generated based on the reciprocal lattice vectors and applied to filter the spectrum. A quality metric is generated based on an aggregate magnitude of the filtered spectrum and a magnitude of a zero-frequency component of the filtered spectrum. A pixel scaling parameter, focus parameter, and / or stigmation parameter of the SEM are determined based on the quality metric.

The invention provides a cold and hot dual-purpose transmission electron microscope in-situ sample rod. The cold and hot dual-purpose transmission electron microscope in-situ sample rod comprises a handle, a rod body and a rod head, the handle part is provided with an external power supply interface and a cold source conduit interface, and can be externally connected with a heating power supply, a cold source and the like, so that current, a cooling medium and the like flow into the rod head part of the sample rod to realize a heating or refrigerating function. The rod head part is provided with an objective table, a cooling medium guide pipe, a sample loading device, a heat sensitive element and an electrode assembly. The sample fixing device is used for fixing a sample; the heat-sensitive chip is used for measuring the temperature of the sample area; the heating electrode part is used for heating the sample part after being connected with a power supply so as to realize transmission electron microscope observation of the sample in a high-temperature environment. By using the in-situ sample rod disclosed by the invention, direct heating and refrigeration can be realized to create high-temperature and low-temperature detection environments, and the experimental operation process of in-situ testing is simplified.

The invention discloses a multi-technology combined medication analysis platform of an oligonucleotide drug, which relates to the technical field of drug analysis and is technically characterized by comprising an oligonucleotide drug delivery technology module, a liposome, a polymer nanoparticle or an exosome is selected as a delivery carrier, the surface of the delivery carrier is modified with hydrophilic polyethylene glycol or a targeting ligand, and the oligonucleotide drug delivery technology module is connected with the oligonucleotide drug delivery module. The performance of the material is represented by dynamic light scattering and a transmission electron microscope; the multi-technology platform analysis module integrates RT-qPCR, LC-FL, LC-MS / MS and LC-HRMS technologies, is respectively used for target gene expression quantification, drug distribution tracking, drug principal component quantification and metabolite structure analysis, establishes a cross validation rule, and requires a correlation coefficient R2gt of an LC-MS / MS quantitative result and RT-qPCR expression data; 0.95%, 0.95%; the pharmacokinetic evaluation module constructs a PBPK model to predict human pharmacokinetic parameters, and draws a drug metabolism network diagram in combination with an LC-HRMS metabolite identification result; by integrating various advanced analysis technologies, the problems of low sensitivity, poor specificity and difficult metabolite analysis in the prior art are solved.

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 provides a phase classification method for coal combustion fly ash, and relates to the technical field of coal combustion byproduct analysis. The phase classification method comprises the following steps: performing consolidation treatment on a coal combustion fly ash sample to obtain a to-be-analyzed target sample; carrying out element component collection on the plurality of particle micro-areas in the to-be-analyzed target sample based on scanning electron microscope energy spectrum analysis to obtain the contents of main control elements and target elements; and according to the contents of the main control element and the target element, performing phase classification on the plurality of particles contained in the coal combustion fly ash sample, and determining the phase category to which each particle belongs. According to the method, through consolidation sample preparation and scanning electron microscope energy spectrum analysis, non-destructive and multi-element micro-area analysis of the fly ash particles is achieved, phase classification is completed based on the element content, and the classification accuracy and the research foundation are improved.

The invention belongs to the technical field of petroleum and natural gas mineral geochemical experiment research, and discloses a research method for a mechanism of extracting elemental gold in hydrothermal fluid from crude oil. In-situ visualization experiments are carried out in a transparent fused quartz capillary tube, and analysis is carried out in combination with a scanning electron microscope, an energy dispersion X-ray spectrum and a transmission electron microscope, so that continuous evolution of water droplets near an interface of oil and a solution containing HAuCl4 at a high temperature is successfully proved. According to the method disclosed by the invention, hydration electrons released in a conversion process from OH <-> to OH < * > in the water droplets are extracted, the hydration electrons and H2O2 formed in the droplets have a synergistic effect, Au3 < + > is promoted to be reduced to form natural gold atoms, the atoms are gathered into nano-scale and micron-scale gold particles in a droplet coalescence process, and a clear and reasonable mechanism is provided for formation of elemental gold in crude oil extraction hydrothermal fluid.

The invention discloses a method for preparing a section sample of a new energy automobile battery powder material, and relates to the technical field of battery material analysis, and the method comprises the following steps: uniformly mixing a battery powder material with a liquid conductive adhesive solution; pouring the mixture into a mold for curing, and demolding to obtain a conductive sample block with a regular shape; directly loading the conductive sample block in an ion beam cutting system for ion cutting to obtain a flat sample section; and surface metal spraying treatment is not needed, and electron microscope observation and analysis are directly carried out. According to the preparation method, the conductive adhesive solution is adopted for inlaying and is combined with mold forming, so that time-consuming mechanical grinding and polishing procedures in a traditional method are omitted, and the preparation period is greatly shortened; and meanwhile, an in-situ conductive network formed after the glue solution is cured is utilized to effectively inhibit the charge effect, so that direct observation without metal spraying is realized, sample preparation damage and plating interference are avoided, and the authenticity and accuracy of an analysis result are ensured. The method is simple and convenient to operate and good in repeatability.

The invention relates to the technical field of brain science image processing, and discloses a brain tissue neuronal morphology three-dimensional reconstruction and connection group analysis method and system, and the method comprises the steps: carrying out the feature point extraction and matching and optical flow registration of continuous ultrathin section electron microscope images, and obtaining three-dimensional image volume data; carrying out semantic segmentation on cell bodies, dendrites, axons and dendritic spines through a three-dimensional deep convolutional neural network, and driving secondary registration through confidence feedback; detecting synapses and classifying the synapses as excitatory or inhibitory types; executing topology perception skeletonized reconstruction and performing segmentation correction through topology anomaly feedback constraint; and constructing a synaptic connection matrix and executing graph theory analysis.

This invention provides a PAM staining method that enables staining suitable for magnified observation of various samples using a range of microscopes, from optical microscopes to electron microscopes. [Solution] A PAM staining method comprising the steps of: silvering a biological sample; coloring the biological sample; and fixing the color of the biological sample, wherein the biological sample is a biologically derived sample that has been oxidized; the silvering step involves immersing the biological sample in a methenamine silver aqueous solution at room temperature, raising the methenamine silver aqueous solution from room temperature to 62°C or higher and 68°C or lower, and carrying out the silvering reaction for 30 to 40 minutes from the start of the reaction at room temperature; the coloring step involves immersing the silvered biological sample in a 0.2% gold chloride aqueous solution at room temperature for 8 to 12 hours; and the fixing step involves immersing the sample in a hard film fixing solution containing 11% to 13% sodium thiosulfate and aluminum potassium sulfate dodecahydrate for 3 minutes or more at room temperature.

The invention belongs to the technical field of thermal expansion coefficient measurement, and relates to a micro-scale material thermal expansion coefficient measurement method and system based on in-situ video analysis, and the method comprises the following steps: 1, extracting a micron-sized sample from any position of a target material by using a focused ion beam; 2, recording a dynamic video of the heating deformation process of the sample by using an electron microscope; 3, performing frame-by-frame image processing on the dynamic video, and extracting pixel data of length, width and area of the sample; 4, converting the pixel data into an actual physical size, recording temperature-time data, and associating a video frame with a corresponding temperature value; 5, calculating the thermal expansion coefficient of the material based on the temperature-deformation curve; the problems that an existing thermal expansion coefficient measuring method is complex in operation and insufficient in accuracy and universality are solved, and particularly, higher thermal expansion coefficient measuring precision and reliability are achieved for micro-scale materials; the requirements on high-precision and high-throughput material testing in the fields of modern chips, micro-nano devices and the like can be met.

The invention provides a medium manganese steel oxygen vacancy defect identification method and device. The method comprises the following steps: obtaining a first oxygen vacancy defect area based on a measurement result of a positron annihilation lifetime spectrum and a Doppler broadening spectrum on a target sample block; aiming at each ultra-thin sample, observing the ultra-thin sample through a high-resolution transmission electron microscope, and collecting a bright field image and a dark field image of the ultra-thin sample; obtaining a second oxygen vacancy defect area based on the bright field image, the dark field image and the first oxygen vacancy defect area; performing electron energy loss spectrum analysis on the second oxygen vacancy defect area, and determining a third oxygen vacancy defect area and corresponding oxygen vacancy defect concentration in the ultrathin sample; and determining each target oxygen vacancy defect region and oxygen vacancy defect concentration of the target medium manganese steel sample according to the third oxygen vacancy defect region and oxygen vacancy defect concentration in each ultrathin sample. According to the invention, information such as position, number, size and distribution pattern of oxygen vacancy defects can be accurately obtained.