3330 results about "Microscope" patented technology

The invention discloses an electrostatic induction and optical imaging principle-fused online monitoring device and method for wear particles of a water-lubricated bearing, and belongs to the field of state monitoring of mechanical equipment. The device comprises a square insulation detection cavity, a detection electrode array, an electromagnetic shielding shell, a high-speed optical imaging module and a signal processing unit, the square insulation detection cavity is installed in a bearing lubrication water loop. The detection electrode array is fixed to the outer wall of the cavity and used for capturing electrostatic signals generated when the abrasion particles pass through. The electromagnetic shielding shell wraps the detection cavity and is grounded through a wire to eliminate environmental electromagnetic interference. The high-speed optical imaging module integrates a high-magnification microscope lens and a CMOS sensor, is coaxially mounted with the detection cavity, and obtains the morphology characteristics of the wear particles in real time; and the signal processing unit performs multi-modal data fusion analysis on the electrostatic signal and the optical image. Through cooperative detection of electrostatic induction and optical imaging, the monitoring precision and reliability of the wear particles of the water-lubricated bearing are remarkably improved.

The invention relates to the technical field of decorative materials, in particular to a decorative material with a 3D texture structure and a preparation method and application of the decorative material. The method comprises the following steps: carrying out digital printing on a pretreated substrate to obtain a 2D pattern layer on the surface of the substrate; coating the surface of the 2D pattern layer with a photocuring coating, carrying out preliminary curing, and then carrying out ink-jet printing of a texture developing solution on the surface subjected to preliminary curing to carry out secondary curing, so as to obtain a cured coating; the cured coating comprises a hardened part and an unhardened part; and after an unhardened part in the cured coating is removed through polishing and wire drawing, a surface coating is coated, and the decorative material with the 3D texture structure is obtained. The textures with different widths and depths can be obtained in a manner of combining primary curing of the coating with ultraviolet absorption of the developing solution, and then a microcosmic coarse and visual smooth form is obtained through polishing and wire drawing treatment, so that the obtained 3D texture structure is closer to natural textures.

The invention is suitable for the technical field of biological materials, and provides an embryo heavy ion track acquisition method based on a biological stack, and the method comprises the steps: carrying out the preprocessing of an initial biological stack, obtaining a target biological stack, obtaining an initial scanning image of the target biological stack, and scanning the target biological stack, and obtaining an initial scanning image of the target biological stack; marking the initial scanning image for the first time based on the central position of the seed embryo to obtain a target scanning image; fitting the target scanning image with the detection sheet of the target biological stack to obtain an initial fitting piece, and marking on the non-contact surface of the initial fitting piece for the second time according to the central position of the embryo to obtain a target fitting piece; scanning the target fitting piece through a preset laser confocal microscope to obtain an imaging picture of the seed embryo, and cutting an actual projection of the seed embryo on a preset projection contour based on the imaging picture and the central position of the seed embryo in the imaging picture; and identifying the heavy ion track of the seed embryo according to the actual projection.

The invention provides a point cloud rapid splicing method and system for surface confocal surface topography, and relates to the technical field of point cloud splicing, and the method comprises the steps: carrying out the regional scanning of a target object through a surface confocal microscope, so as to obtain a plurality of point cloud data sets; voxel filtering is sequentially carried out on the point cloud data set to obtain a transition point cloud set, radius filtering is carried out on the transition point cloud set to obtain a standard point cloud set, and the standard point cloud set comprises a source point cloud and a target point cloud; iCP registration is carried out on the source point cloud and the target point cloud, and a preliminary splicing point cloud is acquired; and converting the preliminary splicing point cloud into a depth map corresponding to the preliminary splicing point cloud, and performing inverse conversion operation on the depth map to obtain a final splicing point cloud. According to the invention, the integrity and geometric accuracy of the final spliced point cloud can be improved.

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 discloses an ultra-thin glass defect detection system and positioning method based on line scanning and phase deflection, and the system comprises a line scanning camera module, a distortionless phase deflection detection module, a high-magnification microscope module and a central processing unit. The line scanning camera module is used for collecting a 2D grayscale image of the ultrathin glass; the distortionless phase deflection technology detection module is used for collecting a surface height map of the ultra-thin glass; the high-magnification microscope module is used for carrying out depth positioning on the interlayer defect judged by the central processing unit; the central processing unit is used for receiving the 2D gray level image and the surface height map, executing an image registration and defect classification algorithm and sending a depth positioning control instruction to the high-magnification microscope module, a multi-module cooperative work detection system is constructed, the detection efficiency and the detection precision are both considered, and data support is provided for production process improvement.

The invention discloses a scanning electrochemical microscope in-situ stress corrosion testing device and method, and belongs to the technical field of material stress corrosion testing, and the device comprises a base, a power transmission module, a clamping module, a corrosion module, a signal acquisition module and a scanning electrochemical microscope module. Slow strain rate stretching of a sample is achieved through a servo motor, a planetary gear speed reducer and a transmission mechanism, the clamping module is integrated with a force sensor to monitor loads in real time, the corrosion module provides a temperature-controllable corrosion environment, and the scanning electrochemical microscope module achieves electrochemical scanning of the surface of the sample. The device can synchronously obtain a load-deformation curve, corrosion morphology and microcell electrochemical information under stress-corrosion-temperature multi-field coupling, and provides an effective technical means for deeply researching a stress corrosion mechanism of a material. The method comprises the steps of sample installation, corrosion solution preparation, electrode arrangement, tensile test, electrochemical scanning and the like, and has the advantages of simplicity and convenience in operation, comprehensive data, high precision and the like.

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.

An x-ray apparatus and method can improve x-ray imaging in a variety of ways. For example, the improve x-ray apparatus can reduce scatter from x-ray images acquired by two-dimensional detectors. An improved 2D x-ray apparatus can provide 3D imaging for medical and / or industrial applications. An improved 2D x-ray apparatus and method can produce separate material imaging, and composition analysis for characterization and correlation of image, densitometry, and composition information of individual component or individual material within a single subject. Non-rotational 3D microscopy, combining 2D or 3D full field x-ray imaging and high resolution 2D or 3D x-ray microscopy or spectral absorptiometry and spectroscopy can achieve a higher resolution and wider field of view in x-ray imaging and quantitative analysis in 3D and real time. The x-ray apparatus can improve tracking and / or surgical guidance in time and / or space.

The invention discloses an annealing temperature control method based on a differentiated ohmic contact material, and aims to solve the problems that the annealing temperature of an N-surface Au / Ge ohmic contact layer of an existing AlGaInP-based red light Micro-LED is not accurately monitored, a temperature field is not uniform and is difficult to detect, and abnormal response lags, the method comprises seven steps of processes (two times of patterning, two times of metal coating, two times of photoresist removal, annealing and observation), and the annealing temperature of the N-surface Au / Ge ohmic contact layer of the existing AlGaInP-based red light Micro-LED is controlled. Preparing a first Au / Ge ohmic contact layer (for function) and a second Au / Ge / Ni ohmic contact layer (for detection) on the N surface of the wafer; by means of the characteristic that Ni inhibits Au / Ge agglomeration, the two-layer agglomeration state difference is observed through an optical microscope, and the temperature is judged (in the normal state, the former agglomerates, and the latter does not agglomerate); the method is convenient in detection, supports batch detection, can find temperature abnormity in real time, improves the process stability, and is suitable for industrial mass production.

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 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 discloses a stem cell fusion degree detection method and system based on artificial intelligence, and a storage medium. The method comprises the following steps: carrying out image preprocessing on a cell microscope image; automatically calculating an optimal threshold value by using an image threshold value segmentation algorithm to obtain a cytoplasm mask; median filtering is carried out on the original image to reduce noise, then an adaptive threshold segmentation method is adopted, a local threshold is calculated according to local area gray level distribution, and a cell nucleus binary image is generated; performing connected region marking on the cell nucleus binary image, calculating the area attribute of each region, and performing filtering according to a cell nucleus removal ratio parameter to obtain a cell nucleus mask; performing logic OR operation on the cytoplasm mask and the cell nucleus mask to obtain a complete cell segmentation result; and calculating the fusion degree of the stem cells based on the cell segmentation result. Therefore, the problems of accuracy and consistency of judging the fusion degree of the stem cells by observing microscope images with human eyes in the prior art are solved, and accurate detection of the fusion degree of the stem cells is realized.

The invention provides a scanning tube transverse driving piezoelectric motor and a control method thereof.The scanning tube transverse driving piezoelectric motor comprises a base, an elastic piece and a sliding rod, and is characterized by further comprising an XZ two-dimensional deformation piezoelectric tube, one end of the XZ two-dimensional deformation piezoelectric tube is fixed to the base and becomes a fixed end, the other end of the XZ two-dimensional deformation piezoelectric tube is a free end, the elastic piece is fixed to the free end, the sliding rod is arranged between the base and the elastic piece, and the XZ two-dimensional deformation piezoelectric tube is connected with the sliding rod. And the elastic sheet elastically presses the sliding rod on the surface of the base to form a structure that transverse deformation, namely X-direction deformation, of the XZ two-dimensional deformation piezoelectric tube drives the sliding rod to move on the base in the X direction. Compared with the prior art, the piezoelectric motor has the following excellent performance: 1) since the piezoelectric tube is transversally deformed and is stepped by the sliding rod, the piezoelectric tube does not need to be very long, so that the length size of the motor does not need to be very large, and the problem that the piezoelectric motor is difficult to rotate in a rolling manner in a narrow aperture of a strong magnet due to large length in the prior art is solved; and 2) the piezoelectric motor is small in size and does not bring large thermal load, so that the piezoelectric motor is very suitable for extremely low temperature conditions.

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.

A microscope toy includes a base (108) and a stand (117). The base (108) has a bottom surface (115), a pair of opposing side walls (101), and a pair of opposing end walls (103), the pair of opposing side and end walls (101, 103) extending upwardly from the bottom surface (115) and defining an interior space (105). The stand (117) has a base surface (110) sized to couple with the base (108) and configured to cover an opening of the interior space (105) of the base (108), an arm (112) extending upwardly from the base surface (110), and a body tube (136) comprising a lens configured to magnify an object, the body tube (136) configured to detachably couple with the arm (112).

The invention provides a long-time scale solid surface aging characteristic analysis method and system and electronic equipment, and relates to the technical field of insulation material aging. The method comprises the following steps: preparing a material sample; preparing a solid material sample with good anti-aging performance under a specific working condition according to a material chemical theory and experience; obtaining a solid surface appearance by a high-precision microscope; carrying out accelerated aging on the material at a constant temperature for a certain time; solid surface features including roughness and fractal indexes under different accelerated aging time are extracted, edge curvilinear equation fitting is carried out, and an aging feature curve is generated, so that an aging behavior prediction result is obtained, continuous monitoring and accurate analysis of the solid surface aging process are realized, and the aging behavior prediction accuracy is improved. Through continuous monitoring of the multi-time-node accelerated aging experiment, aging full-period coverage and multi-dimensional data fusion are realized, data accuracy and aging identification precision are improved, and aging behavior prediction precision is improved.

The embodiment of the invention discloses a scanning NV probe microscope which comprises an atomic force microscopy system used for detecting surface topography information of a sample and an optical detection magnetic resonance system used for detecting surface magnetic field distribution information of the sample, and the atomic force microscopy system comprises a vibration arm and a diamond probe. The optical detection magnetic resonance system comprises an NV color center, a transition excitation light path and a fluorescence detection light path; a sample to be scanned and the transition excitation light path are respectively positioned on two opposite sides of the diamond probe, and the transition excitation light path and the fluorescence detection light path are positioned on the same side of the diamond probe; a first metal coating film is arranged on one side, close to the sample, of the diamond probe and is used for blocking surface fluorescence of the sample. According to the scanning NV probe microscope provided by the embodiment of the invention, the metal coating is arranged at the bottom of the diamond probe to block stray fluorescence from the surface of the sample, so that the problems of low magnetic field imaging signal-to-noise ratio and limited measurement precision of the existing scanning NV probe microscope are solved.

The invention relates to the technical field of measurement and detection, in particular to a test sieve calibration method based on machine vision. Comprising the following steps: acquiring a test screen image by a microscope, firstly performing graying processing on an original image, and converting a color image into a grayscale image; the method comprises the following steps: carrying out binarization processing on a grey-scale image, carrying out binarization on the image, setting a grey-scale value of a pixel point on the image to be 0 or 255, enabling the whole image to present an obvious visual effect which is only black and white, and better analyzing the shape and the contour of an object through binarization; and performing connected domain analysis on the binary image, finding a pixel point to which each sieve hole belongs, endowing each pixel point with a label through the connected domain analysis, and forming a connected domain by the pixel points with the same label value so as to realize segmentation of the region of interest. The method is applied to the measurement calibration work of the test sieve, the working efficiency of verification and calibration personnel can be greatly improved by using the method, and human resources are saved.

This invention discloses a method for transport of intensity diffraction tomography based on non-interferometric synthetic aperture. By acquiring through-focus intensity stacks under different illumination angles and performing three-dimensional Fourier domain half-space filtering (or 3D Hilbert transform equivalently) on the measured intensity stack, further combining with non-interferometric synthetic aperture, the 3D refractive index tomographic imaging in a non-interferometric manner without the need to meet matched illumination condition can be achieved. Leveraging the inherent advantage of synthetic aperture, the imaging resolution reaches the incoherent diffraction limit, resulting in high-resolution imaging results. The non-interferometric nature of TIDT-NSA offers a simple imaging optical setup, delivers speckle-free imaging quality, and is compatible with an off-the-shelf bright-field microscope.

The invention discloses a cable strength detection method and system, relates to the technical field of cable detection, and solves the technical problems that the metal cable detection process is not standard, the defect positioning and quantification precision is low, the contradiction between the non-metal cable detection efficiency and precision is prominent, and microscopic verification is lacked. A high-frequency arc-shaped phased array probe, a bicrystal oblique TOFD probe and an oil-based high-viscosity coupling agent are adopted, a layered focusing technology is combined, laser ultrasonic non-contact detection and ultrasonic microscope high-resolution imaging are adopted for a non-metal cable, and spiral scanning and circumferential fixed-point scanning are combined, so that the defect omission ratio in the circumferential direction is reduced; the abnormal region judgment takes a calibration test block as a reference, the misjudgment rate is reduced, the authenticity is verified through coarse scanning and locking of a core region, fine scanning and acquisition of a high-resolution image and multi-angle imaging, the defect type judgment basis is clear, and the misjudgment rate is reduced.

The invention relates to the technical field of ultrasonic scanning microscopes, in particular to a system and a method for measuring surface unevenness and warping of an ultrasonic scanning microscope. The system comprises a water tank, a light emitting device, a light receiving device and a signal processing module, the light emitting device generates line laser through a semiconductor laser and an optical shaping module, and scanning is achieved through a high-precision galvanometer. The light receiving device is provided with a narrow-band filter, a telecentric lens and a CMOS sensor and is used for capturing a light spot image; the signal processing module integrates sub-pixel positioning, galvanometer nonlinear correction, self-adaptive filtering and temperature compensation algorithms, light spot center sub-pixel-level positioning is achieved through Gaussian curved surface fitting, galvanometer correction and temperature drift compensation are combined, the measurement precision and stability are improved, and finally high-precision height information is fed back to an ultrasonic scanning system. According to the invention, the accuracy and reliability of surface unevenness and warping measurement are improved.

The invention belongs to the technical field of biological sample detection, and particularly relates to a microscanning and classifying all-in-one machine for a cell pathology dyeing sealing sheet and a dyeing method of the microscanning and classifying all-in-one machine for the cell pathology dyeing sealing sheet. Comprising a machine body, a top feeding assembly, a dyeing assembly, a lifting and transferring assembly, a glue dripping assembly, a piece sealing assembly, a microscope scanning assembly and a stacking and storing assembly. According to the method, isochronous standardized dyeing is adopted, all sample slide plates are further arranged before each cycle, the dyeing time of each step is equal accurate time, large-flux standardized dyeing can be performed, and a standardized dyeing method which is high in flux, high in speed, good in dyeing effect and accurate in time is formed. And meanwhile, micro-scanning is integrated into a whole to form a full-automatic assembly line with a small-space large-flux function and full feeding and discharging convenience.

The invention discloses an electric orthogonal polarization synchronous control system of a geological microscope. The electric orthogonal polarization synchronous control system comprises six modules including a stokes parameter dynamic sensing unit based on multi-dimensional space vector transformation and a polarization mode dispersion feature extraction unit fusing adaptive weight distribution. The system captures original signals of polarized light through a high-frequency sampling circuit, generates corresponding compensation parameters according to actual parameters of the geological microscope through feature extraction and parameter calculation, generates driving signals in combination with dynamic threshold adjustment, drives an electric polarization component, and ensures control accuracy through closed-loop feedback adjustment. And each unit is also subdivided into functional subunits, such as mapping model updating, threshold acquisition and the like, so that self-adaptive optimization is realized. The multi-modal data interaction and cooperative control unit guarantees data interaction and overall cooperation of all the modules, the system solves the problems that traditional manual adjustment is low in efficiency and poor in precision, and an existing automatic system is insufficient in polarization mode dispersion processing, and the observation performance of the geological microscope is improved.

The invention discloses a microscopic image integer pixel alignment method based on sub-pixel edge offset detection, and relates to the field of microscopic image processing. The problems that an existing sub-pixel registration technology depends on iterative optimization or a complex deformation model, and real-time processing is difficult; sensor sampling errors and mechanical translation errors need to be compensated through a high-resolution camera or a precise displacement table, and the system cost is high. According to the invention, through sub-pixel-level offset compensation, sub-pixel alignment can be realized without depending on a high-precision displacement table, and the hardware cost is remarkably reduced. The method comprises the following steps: extracting image edge feature points by using an edge detection algorithm, fitting a gray centroid to calculate a sub-pixel offset, and counting an average offset; generating an affine transformation matrix according to the average offset, resampling the image, and aligning pixel values to an integer coordinate grid; and finally, cutting the image edge according to the interpolation algorithm type to eliminate the ghost. The method is also suitable for the application fields of fluorescence microscope multi-view splicing, super-resolution reconstruction and the like.

The invention relates to the field of cell analysis, and provides a multi-mode digital micro-fluidic system and method for cell sorting analysis, the system comprises an active digital micro-fluidic platform, the active digital micro-fluidic platform comprises a micro-fluidic chip, an upper computer control system and an FPGA hardware circuit, an upper computer generates a liquid drop path planning instruction, the FPGA hardware circuit converts the liquid drop path planning instruction into an electrode driving signal, and the electrode driving signal is transmitted to the micro-fluidic chip; the nanoliter-grade liquid drops are driven to change between the electrodes; the optical tweezers platform comprises a laser device, an optical microscope and a CMOS camera, laser beams are generated by the laser device to form a three-dimensional optical potential well, the laser beams are transmitted into the micro-fluidic chip through the optical microscope to realize non-contact control on cells, and the CMOS camera records images and transmits the images back to the upper computer; the objective table clamp is used for realizing cooperative control of the optical tweezers and the active digital microfluidics; and the image recognition system is used for recognizing morphological characteristics of cells in the liquid drops based on a convolutional neural network and screening target cells. According to the invention, integration of high-throughput nondestructive cell sorting and in-situ multi-modal analysis is realized.

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 present invention relates to a vessel holder fixed with a conical screw for use in a biological microscope or the like, and more particularly, to an improved vessel holder fixed with a conical screw to be accurately fixed to a reference side without a change in position with respect to impact vibration while allowing the vessel holders to be closely attached to an upper surface of the stage with only one screw, thereby improving usability, cell observation efficiency and accuracy.

The invention belongs to the technical field of infrared optics, and discloses a long-wave infrared continuous zooming microscope lens. The lens is provided with two lenses, namely a first lens and a second lens which are sequentially and coaxially arranged between an object plane and an image plane; the first lens is a meniscus positive lens of which the convex surface faces the image side, and the second lens is a meniscus positive lens of which the convex surface faces the image side; the first lens and the second lens can move between an object plane and an image plane so as to carry out high and low magnification switching. The long-wave infrared continuous zooming microscope lens can realize multi-magnification switching, and also has the characteristics of small number of lenses, large target surface and clear imaging; the working wave band is 8-12 [mu] m, the magnification factor is 0.2-0.6, the F number of the image space is 1.5, the number of pixels is 1280 * 1024, and the size of the pixels is 12 [mu] m.