5378 results about "Microscope" patented technology

The invention discloses a multi-scale fatigue crack propagation prediction method and system based on a physical information neural network, and aims to improve the prediction precision of a crack propagation rate. The method comprises the following steps: S1, acquiring crack lengths and cycle cycles of a metal material under different scales by using a microscope; s2, calculating an initial small crack propagation rate based on the acquired data, performing fitting by adopting a Newman-Wu model, constructing an initial crack propagation physical model, further combining experimental data to identify physical characteristics influencing propagation behaviors, introducing a PSC-LC turning point to divide small crack and long crack stages, and constructing a crack propagation rate model fusing multiple characteristics; s3, preprocessing the expansion rate data; and S4, constructing a physical loss function in combination with a crack propagation rule in an experiment, fusing the physical loss function with data loss to form a total loss function, and training the neural network model to realize accurate prediction of the multi-scale fatigue crack propagation behavior of the metal material.

A deep learning-based digital / virtual staining method and system enables the creation of digitally / virtually-stained microscopic images from label or stain-free samples. In one embodiment, the method of generates digitally / virtually-stained microscope images of label-free or unstained samples using fluorescence lifetime (FLIM) image(s) of the sample(s) using a fluorescence microscope. In another embodiment, a digital / virtual autofocusing method is provided that uses machine learning to generate a microscope image with improved focus using a trained, deep neural network. In another embodiment, a trained deep neural network generates digitally / virtually stained microscopic images of a label-free or unstained sample obtained with a microscope having multiple different stains. The multiple stains in the output image or sub-regions thereof are substantially equivalent to the corresponding microscopic images or image sub-regions of the same sample that has been histochemically stained.

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.

A system (100) comprising one or more processors (110) and one or more storage devices (120) is configured to obtain biology-related image-based input data (107) and generate a high-dimensional representation of the biology-related image-based input data (107) by a trained visual recognition machine-learning algorithm executed by the one or more processors (110). The high-dimensional representation comprises at least 3 entries each having a different value. Further, the system is configured to at least one of store the high-dimensional representation of the biology-related image-based input data (107) together with the biology-related image-based input data (107) by the one or more storage devices (120) or output biology-related language-based output data (109) corresponding to the high-dimensional representation.

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 relates to the technical field of oil exploration, and discloses a rock mechanical parameter logging intelligent evaluation method considering continental facies shale fabric characteristics. The method comprises the following steps: 1, dividing shale lithofacies, identifying and determining the bedding development thickness of a sample through an optical microscope, determining a granularity experiment of the sample through granularity analysis, and forming mineral composition and bedding factor lithofacies division; 2, constructing a typical logging facies based on a rock electricity response relationship, and dividing the imaging logging facies of the research area according to natural gamma curves of conventional logging and imaging logging, core deposition structure characteristics and imaging logging image characteristics; 3, testing the longitudinal and transverse wave velocities and the porosity of different shale lithofacies, and calculating the dynamic elastic modulus and the Poisson's ratio. Through fine division and description, the method for accurately evaluating the bedding development condition, the particle size characteristics and the mineral components of the shale sample is provided, the testing time is short, the cost is low, and accurate evaluation of shale can be achieved.

The invention belongs to the technical field of environmental monitoring, and particularly relates to a super-resolution fluorescence imaging analysis method based on hypersensitive fluorescent quantum dots. The quantum dots have high water solubility and stability, and can emit narrow-bandwidth fluorescence due to unique optical properties of the quantum dots. According to the invention, a quantum dot luminescent material is adopted to construct an ultra-high resolution microscope system which can be used for observing composite behaviors between micropollutants and quantum dots on a microscopic scale, and a three-dimensional fluorescence microspectrometer and a computer vision algorithm are integrated; the whole reaction process is deduced according to the evolution of the three-dimensional fluorescence spectrum between the micro-pollutants and the quantum dots in different space (concentration), time (reaction process) and chemical dimensions, and a multi-dimensional fingerprint spectrum is formed according to the whole reaction process and is used for identifying and tracing the micro-pollutants. The method has the advantages of being high in detection speed, high in fingerprint performance and less in interference of background factors.

The invention discloses a metallographic detection method and system based on image recognition, and belongs to the technical field of metallographic detection. The detection method comprises the following steps: image acquisition and preprocessing: acquiring a metal metallographic image by an optical microscope, performing median filtering and denoising, and extracting a grain boundary by adaptive binarization; and field-of-view and scale calibration: selecting a corresponding scale according to the shooting magnification. The multi-parameter automatic measurement comprises grain size analysis, grain size rating, second phase analysis and intelligent report generation, a report is automatically generated based on a preset template and comprises an original image, a binary image, measurement data and a histogram, and report fonts and layout can be adjusted in real time through a visual control. According to the detection method disclosed by the invention, the efficiency, the precision and the reliability of metallographic structure analysis of the metal material are remarkably improved through the full-process design of image acquisition standardization, preprocessing intellectualization, data analysis automation and report generation templating.

An image formation lens (IL) for a microscope comprises: a negative lens; and a positive lens (L13) that satisfies the following conditional expression:-0.002×(ν⁢dP-35)+0.602-θ⁢gFP<023<ν⁢dP<65where vdP: an Abbe number of the positive lens, and θgFP: a partial dispersion ratio of the positive lens that is defined by the following expression: θgFP=(ngP−nFP) / (nFP−nCP) where ngP is a refractive index of the positive lens to a g-line, nFP is a refractive index of the positive lens to an F-line, and nCP is a refractive index of the positive lens to a C-line.

A spatiotemporal illumination microscope system is presented. The system includes a multi-well plate configured to receive live cells and a DMD configured to deliver targeted illumination to selectively illuminate a plurality of the wells. The system further includes a tandem-lens system having an objective lens and an imaging lens positioned facing each other to capture fluorescent light emitted from the cells. The system also includes an image sensor that receives fluorescent light captured by the tandem-lens system, generating imaging data. The system further includes a controller configured to use the imaging data to control closed-loop modulation of the live cells.

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 relates to a non-linear seepage experiment method for gas breaking through a cover layer based on dark field imaging. The method comprises the following steps: placing a microfluidic rock chip on an objective table of a dark field scattering microscope; the injection end of the microfluidic rock chip is connected with a fluid injection module, and the outlet end of the microfluidic rock chip is connected with a downstream outflow pipeline; injecting the formation water solution into the micro-fluidic rock chip until the micro-fluidic rock chip is filled with the formation water solution; opening a gas injection system, and adjusting the dark field scattering microscope until a clear image of a micro-fluidic rock chip pore structure and carbon dioxide displacement formation water is obtained; injecting carbon dioxide with different pressures into the micro-fluidic rock chip, and observing nonlinear seepage migration images of carbon dioxide and formation water in the micro-fluidic rock chip; when it is observed that carbon dioxide migrates to the outlet end of the rock chip, the breakthrough moment is obtained, and the upstream and downstream pressure difference value of the microfluidic rock chip is the breakthrough pressure. According to the method, the nonlinear seepage of the carbon dioxide displacement formation water in the nanopores can be accurately observed, and the breakthrough pressure can be determined.

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 a turntable-based dual confocal image scanning microscope and an imaging method, and relates to the technical field of optical elements, systems, instruments and imaging. The imaging light source assembly, the optical fiber transmission assembly, the light source collimation assembly, the structured light generation assembly, the turntable assembly, the microscopic amplification assembly and the camera detection assembly are arranged along a light path; the structured light generation module realizes structured light illumination on a sample surface by loading a specific mask sequence, super-resolution imaging is realized, pinholes in the turntable assembly are equidistantly arranged according to an Archimedes spiral, and the turntable assembly rotates at a high speed to realize multi-point parallel scanning and de-scanning; the detection module performs detection by using an area array detector, so that the resolution improvement of double diffraction limit is realized; according to the dynamic pinhole array-pixel redistribution method, super-resolution reconstruction is carried out based on an image scanning microscopic system principle, and Stokes shift, optical aberration and other non-ideal conditions can be effectively corrected.

A short-wave infrared photothermal (SWIP) microscopy system and method for vibrational imaging of a sample generates shortwave infrared excitation light probe light. The excitation light and the probe light are combined to generate a combined beam, which is focused to generate a focused combined beam, which is directed onto the sample to obtain a SWIP signal generated by absorption-induced thermo-optic selective heating of the sample. The SWIP signal is collected through an aperture in a condenser and detected.

A scanning imaging method includes splitting an optical beam into a reference beam and a scanning beam, generating an interference map, and processing the interference map to produce a reconstructed image of a sample. Generating the interference map includes, for each of a plurality of sections of the sample, generating a respective interference-map element of the interference map by: (i) illuminating the section with the scanning beam to generate a plurality of scattered beams, each scattered beam corresponding to a respective spatial frequency of the scanning beam, (ii) attenuating the reference beam, (iii) generating a plurality of interference signals at least in part by interferometrically combining the plurality of scattered beams and the attenuated reference beam while modulating a phase difference between the reference beam and the plurality of scattered beams, and (iv) detecting the plurality of interference signals to yield the respective interference-map element.

The invention discloses a four-channel fluorescence detection light path module of a super-resolution biological microscope, which divides a fluorescence signal of an intermediate image plane (5) into four conjugate channels (7a-7d) through multi-stage dichroscope light splitting, reflector guiding and lens focal plane adjustment on the premise of not introducing additional aberration, and realizes real-time synchronous detection by using a single large-target-surface camera (8). By adjusting the distance between the reflectors, the inclination angle of the parallel plate glass or the position of the lens, the device can adapt to different camera target surface sizes and compensate chromatic aberration, and the problems of motor switching delay and dual-channel aberration in the prior art are solved.

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 microscope automatic focusing method and system based on image processing, an image is regarded as integration of local areas, the local areas are called windows or image blocks, the size of each local area is 5 pixels * 5 pixels, an evaluation function calculation formula independently acts on each window, a central pixel point is taken as a reference, and the central pixel point is taken as a reference point. Gray gradient difference values after absolute values are obtained through calculation in the X-axis direction and the Y-axis direction respectively, gray gradient difference values after absolute values are obtained through calculation in the main diagonal direction and the secondary diagonal direction respectively and serve as weight factors, and then the gray gradient difference values obtained through calculation are subjected to weighting operation; and finally, accumulating the calculated values of the windows to obtain a definition quantized value of the image. The problems that a traditional method is time-consuming in focusing and insufficient in accuracy are solved.

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 relates to the technical field of microscopes, in particular to an optical hinge group and a stereomicroscope, and the optical hinge group comprises a hinge seat, a first rotating body, a second rotating body and a reflection light path assembly. Wherein the back-shooting light path assembly comprises a negative lens and a positive lens group, the positive lens group is arranged between the first right-angle prism and the third right-angle prism, and the negative lens is arranged between the second right-angle prism and the third right-angle prism; by arranging the positive lens group, the aperture of a light beam is shrunk, so that the light beam can smoothly enter the first rectangular prism, and by arranging the negative lens, the aperture of the light beam is diffused, so that the light beam can fully fill the third rectangular prism, the positive lens group and the negative lens are matched to form a back-shooting light path assembly, the aperture of the light beam and an imaging azimuth angle are adjusted, and optical image stabilization is realized. The technical problems that in the prior art, an optical hinge set has large off-axis vignetting and poor imaging quality due to the fact that an optical path passes through multiple sets of prisms are solved, and the imaging quality is ensured while the observation angle is changed.

The invention discloses a chip fixing device for a low-light microscope, which relates to the technical field of low-light microscopes and comprises a base, an opening is formed in the base, light-transmitting glass is arranged at the bottom of the opening, a plurality of connecting rods are arranged on the inner wall of the opening in the circumferential direction, clamping blocks are arranged at the ends of the connecting rods, and first elastic pieces are further connected to the connecting rods. The first elastic piece is used for pushing the connecting rod to move towards one side of the center of the opening, first slopes are arranged on the side walls of the clamping blocks, and the multiple first slopes are matched to form a receiving opening. A to-be-detected chip is placed in the receiving opening and pressed towards one side of the light-transmitting glass, the connecting rod slides outwards under the action of the first inclined surface, and the clamping blocks are gradually opened until the chip is clamped among the clamping blocks. And under the action of the first elastic piece, the plurality of clamping blocks can clamp the chip in the opening. According to the chip clamping device, clamping can be completed only by pressing the chip into the receiving opening, and rapid clamping of the chip can be achieved.

Systems or techniques are provided for facilitating improved digital twin calibration for scientific instruments. In various embodiments, a system can synchronize, via execution of a state-wide Bayesian filter, a parametric state of a digital twin with a physical state of a scientific instrument. In various instances, the state-wide Bayesian filter can comprise a set of calibration iterations, each of which can comprise a Bayesian update to an entirety of the parametric state based on an iteration-common observable that is exhibitable by the scientific instrument and simulatable by the digital twin. In various cases, the scientific instrument can be a charged-particle microscope, the parametric state of the digital twin can be an aberration coefficient vector of the charged-particle microscope, and the iteration-common observable can be a Fourier transform of a convergent beam electron diffraction pattern of an amorphous carbon specimen captured by the charged-particle microscope.

The invention discloses a method for automatically evaluating the average grain size of a metal material by using a cross-point method, and relates to the field of metal material metallographic image analysis, and the method comprises the following steps: selecting an identification model according to a tested material; inputting the optical microscope image pic into a system with an identification model; extracting scale information of the input image pic by using mask extraction and Hough straight line detection: firstly extracting a scale region by using a mask, then extracting a scale length by using a Hough straight line detection algorithm, and finally extracting a scale value by using a KNN classifier; and identifying the grain boundary pixels of the input image by using the selected identification model: classifying each pixel of the input optical microscope image pic by using UNet, judging whether the pixel is the grain boundary pixel, finally performing optimization, performing intercept method rating according to the optimized grain boundary image, counting the number of intersections per unit length, and calculating the grain size G. According to the method, the precision and consistency of grain size evaluation are 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 provides a fly ash spherical particle identification method, which comprises the following steps: preparing a fly ash sample, and scanning by using a microscope to obtain a sample image; carrying out image preprocessing on the sample image, wherein the image preprocessing comprises image cutting, filtering noise reduction and image enhancement; using the training model to identify particle features of the sample image, and classifying and marking spherical particles and non-spherical particles; respectively calculating the proportions of the spherical particle area and the non-spherical particle area in the total particle area; the identification result of the fly ash spherical particles obtained through the steps is used for identifying the ground fly ash. According to the method, the training model is utilized to learn the characteristics of the fly ash particles with different shapes and sizes, so that the training model has generalization ability, and automatic and accurate identification and classification of spherical particles and non-spherical particles of the fly ash are realized; and judging and identifying the ground fly ash according to the identification result of the fly ash spherical particles, namely the proportion of the spherical particle area in the whole particle area.

The invention discloses a microscopic image scanning and parallel efficient splicing method based on a spanning tree, which considers the characteristic that the scanning visual angle of a microscope is distortionless and the characteristic that the corresponding relation between the physical scale and the pixel scale of a microscope platform is unchanged, and has the advantages of an image matching algorithm based on a template. Automatically dividing an overlapping region range for a template matching algorithm, fully considering the matching result credibility of the pictures on the surrounding adjacent sides, and calculating a global splicing point location by using a spanning tree algorithm; picture splicing types are divided through rows and columns, the problem of memory access conflicts is avoided, the computing power improvement brought by multiple threads is fully utilized, and the picture splicing efficiency is improved. According to the method, adjacent image matching, high-precision matching of global splicing point locations based on the spanning tree and a multi-thread high-speed image splicing technology are realized.

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.