917 results about "Microscopic imaging" patented technology

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

The invention discloses an all-optical three-dimensional scanning confocal fluorescent microscopic imaging device and an implementation method thereof. According to the invention, through a deep learning driven adaptive regulation and control method, CNN is adopted to process spatial distribution data and dynamically regulate and control a phase hologram and the light intensity and phase compensation of a laser, so that the focal point of exciting light is subjected to aberration-free axial displacement, a bidirectional parallel optical scanning track of a two-dimensional scanning system is optimized, and all-optical three-dimensional scanning is realized; lSTM and TCN are combined to obtain a time sequence dependency relationship, a laser light source, an adjustable diaphragm, an electric focus-adjustable lens and a photoelectric detector are integrally controlled, efficient synchronization and automatic operation and high-speed axial focusing adjustment are realized, errors and time sequence mismatch are eliminated, optical characteristics of different samples and environmental interference are automatically adapted, and high-quality imaging is kept. The robustness and the applicable scene range of the system are improved; the method is used for model biological embryo real-time tracking, intracellular signal molecule dynamic visualization, cell membrane protein migration and aggregation observation and intracellular organelle interaction tracking.

The invention discloses a machine vision-based enzyme freeze-dried powder quality detection method, and belongs to the technical field of machine vision, and the method specifically comprises the following steps: in a closed optical cavity, synchronously collecting a multispectral polarization sequence of a sample through annular multispectral polarization illumination and microscopic imaging; performing short-time airflow pulse disturbance and continuous imaging on the sample, and constructing a polarization time sequence texture map by means of inter-frame polarization retention difference; according to Stokes parameters, calculating a deskewness graph and a specular reflection component graph, and carrying out joint normalization on the deskewness graph and the specular reflection component graph and the polarization time sequence texture graph to form a multi-channel feature stack; constructing a double-branch encoder, and performing comparative learning on the feature stack to generate an impurity prototype dictionary; using the dictionary to match the feature stack pixel by pixel, and tracking and inhibiting powder agglomeration false detection through a topological constraint connected domain; and recovering a height map by using an oblique incidence fringe phase shift method, performing pixel-level fusion with the candidate image, retaining targets with height abrupt change and consistent polarization characteristics, and outputting an impurity mask.

The invention discloses a multi-mode nonlinear optical microscopic imaging device and system, and the device achieves the two-photon and three-photon excitation imaging of a sample through an integrated light source module, a dispersion compensation module, a scanning light path module, a fluorescence obtaining module, a synchronous control module and a signal processing module. Fluorescence intensity imaging and fluorescence lifetime imaging can be supported at the same time; wherein the scanning light path module is driven by the random mask to realize sparse scanning, so that scanning point locations are effectively reduced, and the exciting light dosage is reduced; the synchronous control module performs time window screening and processing on the fluorescence signal based on the pulse synchronous signal and the position code, so that the signal acquisition efficiency is improved; the signal processing module adopts an FPGA (Field Programmable Gate Array) to carry out real-time image reconstruction and life calculation, so that the imaging speed and quality are ensured; and the master control PC can also perform high-fidelity reconstruction on the sparse sampling image through a deep learning model, so that high-speed, low-light-dose and high-resolution nonlinear fluorescence intensity and life imaging is realized.

The invention discloses a time domain compression femtosecond holographic microscopy reconstruction method based on spatial domain and frequency domain joint learning. Constructing a time domain compression femtosecond holographic microscopy system for carrying out multi-moment information time domain compression coding on a measured sample and generating a single-frame snapshot measurement graph; constructing a joint spatial domain-frequency domain learning end-to-end reconstruction model comprising a spatial frequency domain interaction module; training the model by taking a dynamic micro-nano structure hologram sequence generated by simulation as a training set until the joint spatial frequency domain loss function is converged; inputting a single-frame snapshot measurement image generated by a microscopic system into the model for processing to obtain a reconstructed hologram frame sequence; and performing frequency spectrum extraction and phase unwrapping processing to generate a dynamic three-dimensional scene video so as to realize time domain compression femtosecond holographic microscopy reconstruction. According to the invention, both the hardware imaging rate and the algorithm reconstruction precision are considered, and high-speed, high-resolution and low-cost four-dimensional holographic microscopic imaging can be realized under the conditions of extremely low data bandwidth and a common CMOS camera.

The invention discloses a cell occlusion relation estimation method and system based on a pixel-level focus evaluation curve. The method comprises the following steps: acquiring a multi-focal plane cell image sequence of the same view at different focusing positions; performing cell instance segmentation on the image sequence to obtain a two-dimensional cell instance mask; calculating the definition value of each pixel in the mask on each focal plane, and constructing a pixel-level focus response curve; determining a focus depth interval of each pixel according to the peak position of the focus response curve and a preset relative threshold value; and comparing focus depth intervals of different cell pixels in the cell overlapping region, and judging the up-and-down shielding relationship between the cells. According to the method, automatic analysis from the original microscopic data to the cell upper and lower layer relation is realized through pixel-level depth modeling and interval comparison, the spatial resolution and credibility of occlusion relation judgment are improved, the compatibility with a conventional microscopic imaging process is high, and deployment and popularization are easy.

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

The invention provides a phytoplankton chromatography sequence identification method and a phytoplankton chromatography sequence model building method, and belongs to the technical field of image enhancement identification. The method comprises the following steps: firstly, acquiring microscopic chromatography sequence data of phytoplankton, performing view field extraction and serialization recombination, and constructing a three-dimensional data set; then, constructing a three-dimensional recognition model containing physical perception and a sequence aggregation mechanism, extracting single-frame semantic features by the model by adopting a parameter-shared twin network, and introducing a physical definition prior module to calculate a space-frequency domain quality score of a slice; secondly, designing a deep perception sequence aggregation module, and adaptively aggregating key features of a high signal-to-noise ratio by taking definition scores as gating signals and combining spatial context information between slices; and finally, training and optimizing the model based on the image-level weak supervision label to obtain an optimal model. According to the method, the problems of information truncation and out-of-focus noise interference caused by extremely shallow depth of field of high-power microscopic imaging are solved, and full-depth-of-field stereoscopic perception can be realized under the condition that frame-by-frame fine labeling is not needed.

According to the quartz fiber glass bead defect detection method and system based on microscopic imaging, since the glass beads are of a three-dimensional structure, the internal defects of the glass beads can be distributed at different heights, and the defects of the glass beads can be detected by carrying out region division on the whole disc of quartz fiber glass beads, determining different focal planes and carrying out microscopic scanning on different regions on each focal plane in sequence. Acquiring a plurality of focal plane images corresponding to different focal planes of the whole disc of quartz fiber glass beads, and splicing the same focal plane images corresponding to different areas to ensure that all potential defects of the quartz fiber glass beads are imaged; and then defects in the image are identified, positioned and classified by using deep learning, so that manual subjective errors are avoided, and the detection efficiency and accuracy are remarkably improved.

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 provides a linear optical tweezer astigmatism field regulation and control method based on an optical transmission matrix. The design method comprises the following steps: establishing a 4 * 4 optical matrix for generating a linear optical tweezer astigmatism field and a transmission equation; analyzing the regulation and control rule of the parameters of the optical element on the astigmatism characteristics; collecting a fluorescence slice image of the initial astigmatic light field through an axial tomography scanning method; reconstructing the spatial distribution of the initial image light field; judging whether the light field accords with a preset astigmatism characteristic or not, if not, determining the astigmatism characteristic to be optimized, and adjusting element parameters according to a regulation and control rule; and acquiring the adjusted image of the astigmatism light field again, reconstructing the image, and continuously performing judgment iteration until the image accords with the preset astigmatism characteristic, thereby realizing regulation and control of the astigmatism light field. Matrix optics is used in optimization of a linear optical tweezer image dispersion light field optical system, the limitation of traditional trial and error design is avoided, the method can be applied to the fields of light control technology, light sheet fluorescence microscopic imaging and the like, and the performance of the optical system is improved.

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.

The invention relates to the technical field of visual search, in particular to a visual search experiment method for head fixing brain imaging. Comprising the following steps: fixing a target object on an experiment table, and training the target object through a display screen to obtain a trained target object; obtaining a target stimulus for an experiment and a target display strategy of the target stimulus in a display screen, the target stimulus being an icon for identification; and executing the target display strategy in the display screen, and obtaining behavioral statistical data and brain region microscopic imaging data of the trained target object based on the execution action of the trained target object. According to the method, the brain region microscopic imaging data of the trained target object can be obtained by executing the target display strategy corresponding to the target stimulation in the display screen, the display strategy of the target stimulation in the display screen is optimized, the motion noise interference of the target object is reduced, the brain region microscopic imaging data with higher quality is obtained, and the accuracy of the brain region microscopic imaging data is improved. And the comprehensiveness and the reliability of an experimental result are improved.

The invention relates to the technical field of visual inspection in the optical module industry, and provides a method and a device applied to AOI (Automatic Optic Inspection). A low-magnification microscopic imaging module of the fixed shooting vision subsystem is controlled to carry out fixed shooting on a detection object on the object carrying platform to obtain a global image, and each flying shooting point position coordinate is positioned according to the global image; controlling a motion shaft to drive a flying shooting vision subsystem to move according to the coordinates of the flying shooting point positions, and performing flying shooting on the flying shooting point positions to obtain a plurality of local high-definition images; taking the global image as a background, and splicing the acquired multiple local high-definition images into a complete to-be-detected image; performing region cutting on the to-be-detected image according to the category of the to-be-detected object to obtain each region image; and judging the defect category of each regional image according to the defect characteristics, and generating a defect detection result. According to the method, the problem that the actual extraction of large-area defects is incomplete is solved, and the comprehensiveness and accuracy of detection are ensured.

The invention discloses a coaxial laser confocal processing and measurement integrated system and an in-situ morphology measurement method thereof, and belongs to the technical field of ultrafast laser precision processing and in-situ measurement. The system comprises a laser confocal morphology measurement module, an ultrafast laser scanning processing module, a CCD (Charge Coupled Device) microscopic imaging module, a beam splitter prism, a low-pass dichroscope, a long-working-distance achromatic laser processing objective lens and a combined three-axis precision displacement table, the laser confocal morphology measurement module generates a measurement light beam to realize morphology measurement of a sample; the ultrafast laser scanning processing module generates a processing light beam to scan and process the surface of the sample; the CCD microscopic imaging module generates an illumination light beam to realize illumination of a processing position and acquisition of image information of a sample surface; a measurement light beam, a processing light beam and an illumination light beam form coaxial light beams through a low-pass dichroscope, the coaxial light beams are focused at the same position of the surface of a sample through a long-working-distance achromatic laser processing objective lens, and the coaxial in-situ measurement condition is achieved.

The invention discloses a spore microscopic imaging automatic focusing method and system based on a target recognition algorithm, and the method comprises the steps: analyzing the image focusing effect of spore images collected under different object distances in the process of changing the object distance of a microscope, and determining the optimal positive focus object distance based on the object distance corresponding to the spore image with the optimal image focusing effect; the image focusing effect is cooperatively determined based on the number of spores which can be recognized by using a target recognition algorithm in the image and a focusing evaluation value obtained by analyzing the image by using a focusing evaluation function; the image focusing effects of different images are preferentially determined according to the number of the spores which can be recognized; and when the number of the spores is consistent and the image focusing effect difference cannot be determined, further determining the image focusing effects of different images based on the focusing evaluation values of the images. According to the method, the problem of focal plane misjudgment caused by complicated background interference of micro-particle impurities such as pollen and dust in a spore microscopic image is solved.

The invention relates to a structured light illumination confocal super-resolution measurement system and method, and relates to the technical field of optical measurement. The system comprises a digital micromirror device (DMD), a sample platform, an electric displacement platform, a microscopic imaging assembly, a complementary metal oxide semiconductor (CMOS) imaging assembly and computer equipment, and the DMD is used for adjusting the point light source array and the structured light field. According to the DMD-based confocal super-resolution measurement method, a structured light field and a signal-noise separation technology are combined, and high-precision and high-resolution three-dimensional surface reconstruction can be realized. By using the flexibility of the DMD and the advantages of the super-resolution technology, the spatial resolution and speed of confocal imaging are effectively improved, so that the measurement process is more accurate. In addition, low-rank decomposition and self-supervised deep learning methods are fused, the image reconstruction process is optimized, noise interference is suppressed, and the overall performance of the system is further improved.

The invention belongs to the technical field of near-field imaging, and particularly relates to a microwave and millimeter wave near-field subsurface microscopic imaging device and method based on signal interference, and the device comprises a vector network analyzer, a signal separation device, a phase adjustment device, a semi-steel coaxial line, a displacement platform, and an industrial control computer. The vector network analyzer comprises a signal separation unit, a frequency synthesis source, a first receiver and a second receiver, wherein the frequency synthesis source, the first receiver and the second receiver are respectively connected with the signal separation unit and used for generating microwave and millimeter wave test signals. The signal separation device is respectively connected with the vector network analyzer, the phase adjusting device and the semi-steel coaxial line, and the displacement table is connected with the vector network analyzer through the industrial personal computer; the tail end of the semi-steel coaxial line, which is far away from the signal separation device, is provided with a conical needle tip-shaped near-field probe; and the needle tip of the near-field probe is vertical to the surface of a to-be-detected sample arranged on the displacement table.

A down feather type identification device relates to the field of down feather detection equipment and comprises a base, a transverse moving mechanism, a longitudinal moving mechanism, a down feather mounting mechanism and a microscopic imaging mechanism, and a light source is arranged on the base; the down feather mounting mechanism moves back and forth through the transverse moving mechanism and the longitudinal moving mechanism and comprises a base plate, a transparent plate, a mounting groove and a sealing cover. And the microscopic imaging mechanism is arranged above the down feather mounting mechanism and is opposite to the light source so as to observe the down feathers in the mounting groove. The to-be-identified down and feathers are placed in the mounting grooves and then covered with the sealing covers, the different down and feathers are aligned with the light source through back-and-forth movement and then observed through the microscopic imaging mechanism, the accuracy of the detection result is improved, experimental data can be conveniently reserved for subsequent verification, and due to the fact that the mounting grooves are isolated from one another, the accuracy of the detection result is improved. Therefore, multi-type and multi-batch down feather identification can be carried out at the same time without causing confusion, and the detection efficiency is improved.

The invention provides a semiconductor defect detection method and device based on short-medium wave infrared microscopic imaging, and the method comprises the steps: selecting a short-medium wave infrared band with the wavelength greater than or equal to 2.5 microns as a detection working band, and employing an infrared light source capable of covering the detection working band and a corresponding infrared area array detector; constructing an infrared microscopic imaging light path, and irradiating light emitted by an infrared light source to the surface of a sample through an infrared illumination light path after passing through a beam splitter and an infrared microscopic objective lens; sample reflected light is collected through an infrared microscope objective and is imaged on an infrared area array detector; two-dimensional view field scanning is performed on the sample, imaging is realized through a focusing mechanism, and surface and internal defects are detected; the infrared light source is modulated, so that signal light reflected by the sample is an alternating-current signal, the alternating-current signal is separated from direct-current noise spontaneously radiated by the background, and internal defects of the semiconductor sample are detected after the noise is filtered and the signal-to-noise ratio of an image is improved. The invention provides a high-sensitivity and high-resolution solution for semiconductor defect detection.

The invention belongs to the field of molecular sieve material characterization, and particularly relates to a method for analyzing aluminum atom pairs in a ZSM-5 molecular sieve based on super-resolution fluorescence microscopic imaging, which comprises the following steps: activating a ZSM-5 molecular sieve sample; contacting the obtained sample with probe molecules; washing the ZSM-5 molecular sieve sample, and removing unbound or nonspecifically bound probe molecules; imaging the marked sample by using a super-resolution fluorescence microscope to obtain an image sequence containing a single fluorescent molecule emission event; processing the image sequence, determining a space coordinate of each fluorescence event, and reconstructing a super-resolution fluorescence image exceeding an optical diffraction limit; and based on the space coordinates of the fluorescent dots in the super-resolution fluorescence image, carrying out statistics to obtain the position, surface density or distribution information of the aluminum atom pairs in the ZSM-5 molecular sieve. According to the method disclosed by the invention, nanoscale spatial resolution, direct imaging and quantitative analysis of Al-pair in ZSM-5 (Zeolite Socony Mobil-5) can be realized.

The invention discloses an image registration method, a method for detecting an image recognition basic group and computer equipment, and relates to the technical field of image processing, an image comes from a detection system for realizing sequencing based on patterned surface microscopic imaging, and a surface area reflected by the image is a regular patterned surface. Comprising a plurality of labeling areas and reaction areas which are regularly arranged and adjacent to each other, each labeling area comprises at least two non-parallel extension directions, and a plurality of reaction sites are regularly arranged in each direction. The layout information of the patterned surface area and the characteristics are combined with the information or signal difference or change of biochemical reaction signals reflected on the image, and rough registration is carried out through the global feature of the mark area on the surface area or the reference point distribution in the mark area. And fine registration is carried out through the local feature of bright spot distribution near the reference point, so that the position of the reference point can be accurately and reliably determined, and high-precision registration of the image and the reference template is realized.

The invention provides a multi-focus excitation confocal fluorescence microscopic imaging flow cytometry screening method. The method is characterized in that a laser beam generates three laser beams through a spatial light modulator, and the three laser beams are coherently superposed in a focal plane of a microscope objective to generate a two-dimensional optical lattice light field. And after the other laser beam is shaped by the cylindrical lens, linear laser optical tweezers are realized through the microscope objective, cells to be detected in an imaging detection area of the micro-flow chip are captured, and accurate active optical control on the rotation angle of the cells to be detected is realized. In a cell rotation process, a two-dimensional optical lattice light field rapidly scans in a focal plane at different angles, and a fluorophore in the cell is excited to generate a fluorescence signal. The confocal pinhole array installed at the position conjugate with the focal plane eliminates background fluorescence, a high-spatial-resolution fluorescence image of a three-dimensional structure in the cell is obtained, and cell screening is achieved. The method provided by the invention has the characteristics of high detection rate, high accuracy and the like, and has wide application prospects in the research fields of biology, medicine and life science.

The invention discloses a method for generating a staggered superposition double-layer Airy light beam array capable of realizing double focusing, and belongs to the technical field of structured light regulation and control and special light beam generation. Aiming at the problems that the focusing characteristics of light beam arrays in transmission in different superposition modes are difficult to fully reveal in the prior art and the generation of an optical bottle depends on complex phase modulation or multiple optical elements, the method comprises the following steps: constructing a first layer of Airy light beam array and setting regulation and control parameters, constructing a second layer of Airy light beam array with staggered azimuth angles and setting regulation and control parameters, and constructing a second layer of Airy light beam array with staggered azimuth angles; a longitudinal double-focusing structure is realized through staggered superposition of double-layer Airy light beam arrays, and a vortex phase is introduced into double-focusing array light beams to form an optical bottle structure. According to the invention, the structure is simple, the longitudinal double-focusing and optical bottle structure can be realized only through the initial light field structure design, the focusing intensity and the regulation freedom degree are high, and the application of the light beam in the related fields of microscopic imaging, particle capture and the like is expanded.

The invention relates to a crystal orientation detection system, which comprises an LED surface type array, an illumination lens, a reflector, a microscope objective, a sample stage, a tube lens, an image sensor and a computer, and is characterized in that the LED surface type array comprises m * n LED light sources which are uniformly distributed along the radial direction and the annular direction and are independently controlled by the computer; the illumination lens, the reflector and the microscope objective form an illumination light path, the microscope objective and the tube lens form a microscopic imaging light path, the reflector refracts an illumination light beam to the microscope objective at an inclination angle of 45 degrees, and the computer synchronously controls gating of the LED face type array and image acquisition of the image sensor. According to the technical scheme, the LED light source is long in service life and low in energy consumption, a complex vacuum environment and high-voltage equipment are not needed, optical assemblies such as a reflecting mirror, a microobjective and a tube mirror are mature and easy to obtain, and the overall manufacturing cost of the system is only 10%-20% of that of an electron backscatter diffractometer (EBSD) which is the most commonly used crystal orientation detection device at present.

The invention discloses a living blood vessel and lymph multi-parameter quantitative photoacoustic microscopic imaging system which comprises a high repetition frequency laser source, a photoacoustic scanning probe and a molecular imaging device. Through the cooperation of the multi-wavelength fast switching laser and the high-speed scanning probe, synchronous, dynamic and quantitative imaging of vascular function parameters and lymph concentration in a living tissue microenvironment is realized. The system has a video-level imaging rate and can capture a rapid biological process; through coaxial design of dispersion correction and a photoacoustic focus, high spatial resolution and high signal-to-noise ratio of a multispectral image are guaranteed; and the compact probe design realizes large-range scanning. The technology provides a powerful in-vivo visualization tool for research on life science problems such as tumor evolution and drug metabolism.

The invention discloses a self-adaptive three-beam interference super-resolution microscopic imaging system and method, a light source module generates laser which sequentially passes through a polarization beam splitting module and an electro-optic phase modulation module, three beams of laser subjected to phase modulation are output, and the three beams of laser pass through an optical path compensation module to complete optical path compensation; then the laser enters the laser polarization vector modulation module for polarization modulation, the modulated laser enters the aberration correction module through the laser beam combining module, three beams of light irradiate a sample on a displacement table after aberration correction, fluorescence excited by the sample passes through the aberration correction module again to complete aberration correction, and then an image is obtained through the filtering imaging module. And the acquisition control module synchronously controls the electro-optic phase modulation module, the laser polarization vector polarization modulation module and the aberration correction module and receives an image shot by the filtering imaging module, so that high-speed real-time super-resolution microscopic imaging and high-quality aberration correction are finally realized, the three-dimensional resolution of the image, especially the resolution along the axial direction, is improved, and the imaging quality is improved. And artifacts in the image are reduced.

The invention belongs to the technical field of image processing, and discloses a microscopic imaging depth-of-field fusion method and device, equipment and a storage medium, a plurality of sample images in different depth-of-field scenes are collected, each sample image comprises a focus area, and the focus areas in different sample images correspond to different depth-of-field scenes; each sample image is subjected to definition scoring to obtain a definition score, image blocks are cut from each sample image, the image blocks of different sample images have the same image position and size, and target weight coefficients of the image blocks in each sample image are calculated according to the definition scores; the image blocks of the plurality of sample images are calculated and synthesized to obtain the target image, and the target image comprises all different focus areas, so that the target image has relatively high depth of field, the overall definition of microscopic imaging can be improved, and subsequent image analysis and processing are facilitated; the whole process is automatically controlled, and the working efficiency can be greatly improved.

The invention relates to the field of high-pressure pressure distribution calibration and imaging, in particular to a high-pressure diamond anvil cell internal pressure calibration / imaging system and method based on wide-field optical detection magnetic resonance. The invention discloses a high-pressure diamond anvil cell internal pressure calibration / imaging system based on wide-field optical detection magnetic resonance. The system comprises a fluorescence excitation and collection unit which comprises a wide-field optical detection magnetic resonance pressure distribution imaging light path based on nano-diamond NV color center fluorescence and a pressure calibration light path based on a ruby microsphere fluorescence spectrum. Compared with the prior art, the technical effects of the invention are that a traditional single-point detection mode is broken through through a wide-field microscopic imaging method, submicron spatial resolution and 0.0045 GPa / Hz1 / 2 noise measurement sensitivity are realized, and a brand new stress field characterization means is provided for a high-pressure experiment.

The invention discloses an algae index real-time monitoring method and system, electronic equipment and a storage medium, and relates to the technical field of water ecology monitoring, the monitoring method comprises the following steps: S10, collecting a water body sample from a target water body; s20, carrying out microscopic shooting on the collected water body sample to obtain a microscopic image of the water body sample; s30, processing the microscopic image of the water body sample to obtain an algae category, an algae quantity and a morphological feature vector in the microscopic image; s40, predicting an algae index in the water body sample through an algae index prediction model according to the algae category, the algae quantity and the morphological feature vector, wherein an alarm threshold value of the algae index is preset in the algae index prediction model; and S50, comparing the predicted algae index with an alarm threshold value of the algae index by the algae index prediction model, judging whether the algae index in the water body sample is abnormal or not according to a comparison result, and if yes, giving an alarm. The beneficial effect of the invention is that the monitoring precision and the monitoring efficiency can be ensured at the same time.