36 results about "Microscanning" patented technology

The invention provides a photoacoustic microimaging brain electrode implantation site and path planning method and system, and the method comprises the steps: an image extraction step: employing a brain blood vessel enhanced extraction algorithm to extract an input photoacoustic microscanning imaging result, and obtaining brain blood vessel information; the cerebrovascular information comprises two-dimensional image information and a three-dimensional reconstruction result of the cerebrovascular; and an implantation site and path acquisition step: processing the cerebrovascular information by using a brain electrode implantation site path planning algorithm to obtain an implantation site on the two-dimensional image and an implantation path in the three-dimensional structure. According to the invention, the brain blood vessel enhanced extraction algorithm is adopted, so that the problems of high photoacoustic scanning imaging noise and poor imaging quality are solved, and accurate extraction and three-dimensional reconstruction of the brain blood vessel are realized.

The invention relates to the field of material damage mechanics, in particular to a deterioration performance analysis method for characterizing material defect details through a ossification tree. The method comprises the following steps: acquiring three-dimensional shape data of internal defects of a material through microscopic CT scanning, extracting defect features in combination with an image processing algorithm, converting the defect features into an ossification tree structure, and constructing a defect heterogeneous tensor model; a single-defect sample is accurately reproduced by adopting a 3D printing technology, a rigidity degradation index equation is established through a mechanical test and symbolic regression analysis, and the influence of defects on the material performance is quantified. According to the method, on the basis of K-means clustering and an auto-encoder network, auto-encoding fingerprints of defects are generated through a feature weight matrix and an adjacent matrix, and clustering analysis of six types of defects such as annular defects and sickle-shaped defects is achieved; the 3D printing technology is adopted, the original shape of the defect is accurately re-engraved, and preparation of a single-defect material is achieved. And through symbolic regression, a one-dimensional bubble rigidity deterioration index equation is provided, and the influence of material defects on material deterioration is quantified.

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 provides a self-focusing type wafer three-dimensional shape precision detection device and method. The self-focusing type wafer three-dimensional shape precision detection device comprises a super-radiation light-emitting diode, an optical fiber coupler, a microscopic reference arm provided with a reference arm microscope objective, a self-focal length wafer scanning platform of a microscopic scanning platform, a near-infrared reflection type spectrograph and an upper computer. During detection, near-infrared broadband light radiated by the diode is coupled into the optical fiber coupler and then is divided into detection light and reference light; moving the wafer to be detected to the focal point of the detection light; the detection light is focused on a to-be-detected wafer sample to form measurement light carrying sample surface information, then the measurement light is backscattered by the sample surface and interferes with the reference light at the optical fiber coupler, a formed interference light signal is captured by the near-infrared reflection type spectrometer and then is transmitted into the upper computer, the wafer sample is moved at the focus of the detection light, and the measurement light is transmitted to the lower computer. Performing X-axis and Y-axis scanning to obtain three-dimensional shape data of the wafer; according to the invention, the high-precision nondestructive detection of the three-dimensional shape of the chip can be realized under the condition that the chip sample is not damaged.

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 a microbial spatial distribution monitoring method and system based on a multi-level microscopic scanning image, relates to the technical field of image processing, and is used for carrying out multi-level grid traversal type scanning image acquisition on an observation area of microscopic examination data. Identifying and counting the number of each target microorganism in each image and the position information of each target microorganism in the corresponding hierarchical grid, and storing the information into a to-be-identified hierarchical data set corresponding to each target microorganism; and according to the ecological type of each target microorganism, respectively inputting the corresponding to-be-identified hierarchical data set into the corresponding trained multi-organism distribution probability density model to obtain a spatial distribution rule of each microorganism in the microscopic examination data. By adopting multi-stage magnification grading scanning, the interaction and distribution rules among microbial species are respectively described according to microbial ecological types, and the accuracy of microbial distribution observation is improved.

Disclosed is a digital slide microscopic scanning apparatus and a slide microscopic scanning method. The digital slide microscopic scanning apparatus has a sample library, a transfer device, and a scanning device. The transfer device is used to transfer slides containing biological microtissues between the sample library and the scanning device. The scanning device has a first camera and a second camera. The first camera scans the slide full-frame at a lower first magnification to obtain a first microscopic image and determines the target area of the slide based on this first microscopic image. The second camera scans this target area at a higher magnification to obtain a second microscopic image. Both the first and second microscopic images are acquired rapidly, and the size of data in the converted first digital file and the second digital file is small.

The invention discloses a multi-slice scanning device and method, and relates to the technical field of digital pathology, and the multi-slice scanning device comprises a slice bin, a slice taking and returning mechanism, a macroscopic image collection mechanism and a microscopic scanning mechanism. The slice bin is used for storing slices; the microscopic scanning mechanism is arranged on one side of the slice bin and is used for scanning the slices; the macroscopic image acquisition mechanism is arranged between the microscopic scanning mechanism and the slice bin and is used for identifying a specimen area on the slice before scanning; the slice taking and returning mechanism is arranged on one side of the microscopic scanning mechanism and used for conveying the slices in the slice bin to the macroscopic image collecting mechanism firstly and then conveying the slices to the microscopic scanning mechanism, and finally the specimen areas of the slices are exposed to the scanning area of the microscopic scanning mechanism. The slice taking and returning mechanism is further used for conveying the scanned slices back to the slice bin. According to the designed multi-slice scanning device, the number of moving parts can be reduced, the mechanical structure is simplified, and therefore the reliability and the whole-process speed are improved, and the increasing high-throughput scanning requirement is met.

The invention discloses a soil micro-plastic microscopic Fourier infrared spectrum rapid detection method, and relates to the technical field of environmental pollutant analysis and detection.The method comprises the steps that a soil sample of a target area is collected; performing micro-plastic separation and extraction on the soil sample to obtain a micro-plastic sample; performing vacuum filtration on the micro-plastic sample and transferring the micro-plastic sample to a to-be-detected filter membrane; performing Fourier infrared microscopic scanning on the filter membrane to be detected to obtain a Mosaic image; carrying out particle point positioning on the Mosaic image by adopting a Fourier infrared detection method, and collecting spectral information of each particle point; the spectrum information of each particle point is matched with a micro-plastic standard spectrum library, micro-plastic type information of each particle point is determined, and a detection report is generated and comprises the point position matching rate, the area ratio, the particle length, the particle width and the content of different types of micro-plastics. According to the invention, rapid and accurate detection of the soil micro-plastic can be realized, and the detection precision and efficiency of the soil micro-plastic can be improved.

The application provides a particle crushing strength prediction method and system considering pore parameters, relates to the technical field of geotechnical particle material mechanics, and aims at the problem that the prior art depends on a single parameter, lacks analysis and correlation analysis of the role of the single parameter, the model is single, and prediction accuracy and generalization ability are low.The method uses 3D printing to obtain particles with different particle sizes and pores, obtains the internal microstructure of the particles through micro-CT scanning, extracts pore characteristic parameters, considers multi-dimensional pore parameter characteristics, performs a uniaxial compression crushing experiment, quantifies the relationship between the multi-dimensional pore characteristic parameters and the particle crushing strength, calculates the actual particle crushing strength, establishes a PSO-SVR particle crushing strength prediction model, corrects the crushing strength predicted by the model according to the actual particle crushing strength and based on a calibration factor introduced based on a Weibull model.The application solves the problems in the prior art and improves the prediction accuracy and generalization ability of the model.

1. The name of the design product: Microscope scanner shell. 2. The use of the design product: Microscope scanner shell for pathological sample scanning. 3. The design points of the design product: In shape. 4. The picture or photo that best indicates the design points: Perspective view.

The invention provides a method and system for ancient painting and calligraphy scanning and disease analysis, and relates to the field of image processing, and the system comprises an automatic scanning control module which is used for obtaining scanning parameters set by a user, the scanning parameters at least comprise a scanning area, a focal length, the number of scanned sheets at each point, an imaging parameter, a scanning starting point, a scanning Z-axis vertex, a scanning Z-axis bottom point and a point movement step pitch, and the control module is further used for generating an automatic scanning control instruction according to the scanning parameters; the super-depth-of-field three-dimensional microscopic scanning module is used for scanning the ancient painting and calligraphy according to the automatic scanning control instruction to generate a micron-level resolution image of the ancient painting and calligraphy; and the AI disease analysis module is used for automatically identifying and marking the disease type and position in the micron-scale resolution image of the ancient painting and calligraphy through an ancient painting and calligraphy disease type AI analysis model, and has the advantage of improving the accuracy of ancient painting and calligraphy digitization and disease analysis.

The invention discloses a 20-time magnification two-dimensional microscopic scanning control system and method, and the system comprises an intelligent optical imaging module which is used for shooting a clear image which is free of shadow and is high in depth of field at a designated shooting position; the AI co-processing module is used for analyzing the current image shot by the intelligent optical imaging module and estimating a next shooting position and a focusing surface; and the precise motion control module is used for moving the sample to the next shooting position and performing high-precision focusing according to the pre-estimation result of the AI cooperative processing module. According to the system and the method, the focusing state is judged in real time through a color image, and accurate imaging is realized in combination with motion pre-judgment.

The invention discloses a cell multimode ring AI diagnosis report all-in-one machine which comprises a pathological section microscopic scanner, a computer is arranged below the pathological section microscopic scanner, the computer is fixedly connected with the pathological section microscopic scanner, the computer is connected with the pathological section microscopic scanner through a data line, and the data line is connected with the computer. A display is arranged above the pathological section microscopic scanner, the pathological section microscopic scanner is fixedly connected with the display, the display is connected with a computer through a data line, the pathological section microscopic scanner adopts a 710M-inch high-speed scanning area-array camera, the scanning frequency is greater than or equal to 75 frames per second, and the resolution ratio of the camera is 3200 * 2200. The display, the pathological section microscopic scanner and the computer are integrated into the all-in-one machine, so that the all-in-one machine is convenient to move and carry.

The utility model relates to the technical field of microscopic scanner equipment, in particular to an alignment mechanism in a microscopic scanning system. Comprising an objective lens which is vertically installed on an optical path axis of a microscopic scanning system; the light source assembly is located under the objective lens and fixed to the supporting base. The supporting seat is detachably fixed on the upper surface of the imaging module substrate through a fastener; the eccentric adjusting piece is of an integrally-formed structure and comprises a round rod part and an eccentric part located above the round rod part, and the round rod part and the eccentric part are not coaxial. The round rod part is rotatably mounted in the imaging module substrate, and the eccentric part is rotatably mounted on the supporting seat; the driving assembly is in transmission connection with the eccentric part; and the eccentric adjusting piece is rotated through the driving assembly to drive the supporting seat to generate displacement in the plane of the imaging module substrate. The bottom of the supporting base extends towards the two sides to form symmetrically-distributed installation bosses, and counter bores with smooth inner walls are formed in the installation bosses in the vertical direction in a penetrating mode. According to the utility model, the position of the light source can be accurately and quickly adjusted, and the working efficiency of debugging personnel is greatly improved.

Oral support for micro scanning and analysis of sublingual microcirculation. The present invention relates to an oral support that provides stability and pressure control for imaging devices of sublingual blood microcirculation, wherein the support comprises a transparent tip (1) and an oral support (2), joined by means of an external thread (3) of the tip (1) and an internal thread (11) of an inclined seat (11); once the tip (1) is introduced into said support (2), the external thread (3) rotates around the internal thread (12) of the seat (11) of the oral support (2) while said tip (1) passes through the oblong hole (13) until it reaches the sublingual region of the patient from which sublingual blood microcirculation is to be studied, and the adjustment of the depth of the tip (1) and consequently of the optical tip (p) of the microscope (m) is done by the thread (3,12) without excessive pressure on the microcirculatory area to be studied;The present invention also comprises a constructive alternative provided with inner (40) and outer (33) rings configuring an orbital adjustment mechanism, which allows not only depth adjustment but also angular adjustment of the tip (21).

The invention belongs to the technical field of microscopic scanning imaging, and particularly relates to a color-adjustable RGB light source device for microscopic scanning, which comprises a base, a lamp tube is mounted on the base, an RGB light source, a light homogenizer, a first lens and a second lens are sequentially arranged in the lamp tube, the RGB light source is positioned on one side, close to the lamp tube, of the lamp tube, and the RGB light source is positioned on the other side, close to the lamp tube, of the lamp tube. The end, away from the base, of the lamp barrel is further provided with a cover body, a light outlet hole is formed in the middle of the cover body, and light emitted by the RGB light source sequentially passes through the light homogenizer, the first lens and the second lens and is emitted out of the light outlet hole of the cover body. According to the invention, light spots and stray light are effectively eliminated, a high-quality uniform illumination field is provided for microscopic scanning, and the contrast ratio and the color rendition degree of imaging are improved.

The invention discloses an image vignetting correction method based on high-pass filtering iterative optimization, and belongs to the field of microscope image processing. According to the method, high-pass filtering processing is carried out on each frame of microscopic scanning image to remove low-frequency illumination changes, an illumination light field matrix is initialized, a loss function containing multiple constraints is set, an optimization algorithm is adopted to iteratively update the illumination light field matrix, and finally an original image is divided by the optimized illumination light field matrix to obtain a corrected image. The method does not need to pre-beat a flat field, and simplifies the experiment process. The self-adaptive iterative optimization reduces manual intervention and improves the adaptability to dynamic change; microscopic texture details are reserved, accurate estimation of the whole illumination field is guaranteed, and the method has remarkable technical advantages and can be widely applied to the fields of biomedical microscopic imaging and the like.

The invention discloses a multi-focus microscopic image fusion method based on a convolutional neural network. The convolutional neural network is trained to fuse microscopic images of a plurality of focal layers. A plurality of partially focused images in the same scene are given, and feature extraction is performed through a convolutional neural network to obtain significant image features. Afterwards, the convolution features of a plurality of input images are fused according to the element-by-element maximum fusion rule, and the fused features are reconstructed through two convolution layers, so that a fused image with rich information is generated. According to the method, the images of multiple focal planes of the pathological section under microscopic scanning are input and effectively fused, so that the detail representation of the microscopic image is improved, the fused image has good visibility in focal and non-focal areas, and the advantages of flexibility and generalization of deep learning are fully utilized. Parameters which need to be manually and continuously adjusted in a traditional method are replaced by a neural network structure, and convergence of an algorithm and reconstruction precision are theoretically supported.

The invention provides a high-accuracy ultrasonic microscopic imaging method based on scanning standard target plate self-learning, and relates to the technical field of ultrasonic microscopic image processing. The method comprises the following steps: scanning a standard target plate by using a probe of an ultrasonic microscopic scanning system to obtain a sample data set for modeling; based on the sample data set, a regression learning model with a nonlinear mapping capability is adopted to establish a mapping relation between the pixel gray scale and the actual physical size, and an initial modeling result is obtained; taking the initial modeling result as input, and carrying out iterative optimization on model parameters by utilizing a self-learning mechanism to obtain an optimized self-learning model; and applying the optimized self-learning model to a to-be-measured ultrasonic microscopic image, carrying out size prediction and error compensation on pixel gray scale data, and generating an optimized quantitative imaging result. The problems that in the prior art, when an ultrasonic microscopic imaging technology is used for detecting tiny defects, measurement errors are large, quantitative precision is insufficient, and correction depends on a complex sound field are solved.

The utility model relates to the technical field of optical microscopic scanners, and discloses an optical microscopic scanner for panoramic splicing imaging. The optical microscopic scanner comprises a base, a support frame, an operation table, a glass sheet and a scanner body, the support frame is fixedly connected to the base, the operation table is arranged on the base in a sliding mode, the glass sheet is arranged in the operation table in an embedded mode, the scanner body is installed on the support frame, and the scanner body is installed on the support frame. The device further comprises first electric sliding rails, a connecting frame and a push plate, the two first electric sliding rails are arranged on the operation table, the two first electric sliding rails are jointly provided with the connecting frame in a sliding mode, the bottom of the connecting frame is fixedly connected with the push plate, and the rear side of the connecting frame is fixedly connected with a moving block. The rack moves rightwards to drive the moving block to move rightwards, the moving block pushes the articles on the glass sheet, meanwhile, the push plate pushes the articles on the operation table into the collection frame, and then automatic feeding and discharging are completed, so that the working efficiency of the scanner is improved.

The present application discloses a method for nondestructive evaluation of mother-of-pearl quality based on three-dimensional structural porosity, relating to the technical field of nondestructive microscopic identification of mother-of-pearl in traditional Chinese medicine. The method comprises calcining raw mother-of-pearl at various calcination temperatures using a bright calcination method to obtain multiple processed products with different degrees of processing; performing micro-CT scanning on the raw mother-of-pearl and each processed product to obtain a plurality of projection images; reconstructing three-dimensional images based on the projection images using a phase recovery algorithm and an iterative reconstruction algorithm to generate three-dimensional data; performing pore segmentation using an image segmentation algorithm based on the three-dimensional data to calculate the porosity of the raw mother-of-pearl and each processed product; and determining the quality grade of the raw mother-of-pearl and each processed product based on the porosity of the raw mother-of-pearl and each processed product and the relationship between porosity, calcination temperature, and sample quality. The present application can achieve nondestructive evaluation of mother-of-pearl quality and improve the accuracy of mother-of-pearl quality evaluation.

The invention discloses a microscopic scanning imaging splicing method, a microscopic scanning imaging splicing system, microscopic scanning imaging splicing equipment and a storage medium. The microscopic scanning imaging splicing method comprises the following steps: acquiring a plurality of pathological section view images through microscopic scanning imaging equipment; constructing an undirected graph according to the plurality of pathological section view images; based on the undirected graph, inputting the plurality of pathological section view images into an image registration model constructed based on XFeat and LightGlue, and outputting a relative displacement matrix between each node and a corresponding adjacent node and an image registration edge weight; calculating the relative displacement coordinate of each node according to the relative displacement matrix based on the image registration edge weight; and carrying out image seamless splicing on the plurality of pathological section view images according to the relative displacement coordinates of the nodes. According to the method, the registration driven by the deep learning technology is carried out on the plurality of view images collected on the slide according to the row-column sequence, the relative displacement between the adjacent images is determined, the image blocks are accurately spliced according to the relative displacement, and the accuracy and the stability of the splicing effect are improved.

The invention relates to a full-automatic view retrieval method, which comprises the following steps: S1, after a scanning module of a microscopic scanner scans a target view, recording the coordinate position of the target view and issuing the coordinate position to a lower computer, and S2, for a doubt view, using a retrieval function, the lower computer retrieves the visual field of the question according to the actual position and displays the visual field on a display screen of the upper computer, and a displayed picture is recorded as a preliminary retrieved visual field; an auditor can perform manual focusing and picture displacement adjustment on the preliminary retrieval view field and observe the preliminary retrieval view field, so that the purpose of manual auditing is achieved; under special circumstances, the auditor uses an index function and uses a built-in algorithm to index and match until a question view is matched. By using the method, the auditor can quickly find the visual field corresponding to the doubt visual field to perform observation and judgment again, and the accuracy of the detection result is improved.

The present application relates to the field of optical microscopic scanning, and specifically relates to a multifunctional composite scanning probe. The present application comprises a probe shell, a first transmission optical fiber, a second transmission optical fiber, a perforated optical fiber fixing assembly, a first fixing assembly, a first lens group, a second fixing assembly, and a second lens group, wherein the first numerical aperture of the first lens group is greater than the second numerical aperture of the second lens group, and the optical axis of the first lens group and the optical axis of the second lens group have a fixed included angle. The present application fixedly integrates a visible light probe with a large numerical aperture and a multi-wavelength infrared probe with a small numerical aperture, and does not need secondary calibration when the lens groups are translated or rotated, thereby having high working efficiency and strong system stability. The present application is mainly used for measuring microstructures and micro-nano optical elements.

This invention relates to a method and system for tracking rare sperm based on microscopic visual servoing and spatiotemporal feature fusion. The system includes a microscopic scanning and hardware closed-loop module, a spatiotemporal fusion recognition and multi-target tracking module, and a visual-control collaboration and system control module. In coarse scanning mode, the system performs a rapid, large-field-of-view search. When the recognition module accurately detects a suspected sperm in a complex, unstained background using spatiotemporal feature fusion, an interrupt is immediately triggered, seamlessly switching the system to a fine-scanning mode, and automatic focusing is performed based on image clarity. Subsequently, a closed-loop feedback control algorithm is used to dynamically adjust the motion platform for visual servo tracking, combining global motion compensation to construct a long-term motion trajectory in an absolute coordinate system, and calculating kinematic parameters. The system can trigger an alert after target capture and supports manual intervention to choose between continuous tracking or guiding a microinjection needle for sperm aspiration.

The invention discloses a mother-of-pearl quality nondestructive evaluation method based on porosity of a three-dimensional structure, and relates to the technical field of mother-of-pearl nondestructive microscopic identification, the method comprises the following steps: respectively calcining mother-of-pearl raw products at a plurality of calcining temperatures by adopting an open calcining method to obtain a plurality of processed products with different processing degrees; respectively carrying out microscopic CT scanning on the mother-of-pearl raw product and each processed product to obtain a plurality of projection drawings; according to the plurality of projection images, performing three-dimensional image reconstruction by adopting a phase recovery algorithm and an iterative reconstruction algorithm to generate three-dimensional data; according to the three-dimensional data, carrying out pore segmentation by adopting an image segmentation algorithm, and calculating to obtain the porosity of the mother-of-pearl raw product and each processed product; and determining the quality grades of the mother-of-pearl raw product and each processed product according to the porosity of the mother-of-pearl raw product and each processed product in combination with the relationship among the porosity, the calcining temperature and the sample quality. According to the invention, nondestructive evaluation of the mother-of-pearl quality can be realized, and the accuracy of mother-of-pearl quality evaluation is improved.

The invention relates to a projection device for generating and displaying images in a field of view displaying information and images, comprising: at least one light source (1) for emitting at least one light beam (2); a microscanner (3) for variably deflecting the at least one light beam (2) in the direction of the viewing field, the microscanner (3) having at least one rotational axis for deflecting the rotational vibrations required for the at least one light beam (2); a waveguide (4) arranged downstream of the microscanner (3) in the beam path of the at least one light beam (2); and a concave mirror (5) located between the at least one light source (1) and the microscanner (3) in the beam path of the light beam (2), which concave mirror is designed to collimate the at least one light beam (2).

The invention provides a microscopic scanning system and a rapid focusing method of the microscopic scanning system. The microscopic scanning system comprises an objective table, a top block camera and a light source, an accommodating groove is formed in the objective table; the top block is slidably arranged on the objective table, and an object can be in contact with the inclined surface; an identification part is arranged on the top block; when the object enables the identification part of the top block to be located at the second position, a second posture of the object is obtained according to the second position of the identification part of the top block; the camera is used for obtaining the position of the identification part of the top block. The microscopic scanning system provided by the invention is not limited by a sample condition, and can realize the measurement of the inclination angle of the glass slide no matter whether a sample exists on the glass slide or not and how the height difference of the sample exists, so that the measurement stability is improved. In addition, under the condition that no extra measuring device is added, the inclination angle of the glass slide is measured through a visual algorithm by means of existing resources (a camera, an objective table, a light source and a top block) of a microscopic scanning system, and the system cost and the debugging cost are saved.

This invention relates to a microscopic scanning focusing method and system adapted for live cell slides. By establishing a focal plane height model reflecting the spatial mapping relationship between the plane coordinates of the microgroove and the focal height at the bottom of the groove, the traditional large-scale focusing search starting from zero point by point is simplified to a local search guided by predicted focal height, significantly reducing the focusing time for each microgroove. Within the local search area, the sharpness characteristics and cell texture characteristics of the microscopic image are combined to distinguish between the false focal peaks generated by the liquid-gas interface and the true focal peaks of the cell layer at the bottom of the groove, so that the focusing results are not affected by the reflection from the transparent culture medium surface, ensuring that the focus is always locked on the cell layer at the bottom of the groove rather than the liquid surface. Based on this, the light source is triggered for short-time exposure imaging only when the objective lens and stage reach the focal height of the cell layer at the bottom of the groove determined after eliminating false focal peaks. Thus, while taking into account scanning efficiency, the experimental repeatability and data reliability of long-term serial observation of live cells are guaranteed.