217results about How to "Shorten detection time" patented technology

This invention discloses a pretreatment method for detecting trace perfluorinated and polyfluoroalkyl substances (PFAS) in complex matrix textiles, belonging to the field of materials analysis technology. The method involves placing the textile in an alkaline solvent containing an alkyl sulfonate displacing agent. Under heating conditions, the displacing agent utilizes its competitive adsorption mechanism to forcibly occupy matrix adsorption sites and displace the target analytes into the solvent. Subsequently, the temperature is rapidly lowered to the phase separation induction temperature, inducing supersaturation precipitation of the displacing agent, which then encapsulates impurities in situ and co-precipitates, forming a solid-liquid stratified system. Finally, the supernatant is collected for analysis. This invention utilizes the dual properties of the displacing agent—high-temperature solubilization and low-temperature phase change removal—to effectively break the strong adsorption equilibrium of aged textiles without using a solid-phase extraction column. This solves the contradiction between low extraction rate and significant matrix interference, significantly improving the recovery rate of PFAS. It offers advantages such as low cost, simple operation, and high accuracy.

This invention discloses an automatic browser memory leak location system, method, and medium based on the MCP protocol, belonging to the field of software testing technology. The system includes an MCP communication module, an automated testing module, a heap snapshot acquisition module, an incremental analysis module, a reference chain analysis module, a SourceMap location module, an intelligent repair module, and an IDE visualization module. This invention establishes a standardized connection between the IDE and the browser debugging port through the MCP protocol, achieving fully automated control; it employs a multi-dimensional fingerprint algorithm based on constructed stack frames and attribute structures to solve the problem of cross-snapshot object matching; it utilizes the dominator tree algorithm to compress the reference chain and combines it with the SourceMap index to achieve source code-level location and AI repair suggestion generation. This invention significantly improves the efficiency and accuracy of memory leak location, solving the problems of fragmented debugging links and the inability to accurately map source code.

The invention relates to the field of information security, in particular to a text security detection method and system, and the method comprises the steps: generating a to-be-detected data set according to original text data in combination with a preset extraction rule and a target large language model; determining whether the original text data belongs to member data or not according to the original text data and the to-be-detected data set in combination with a preset detector; wherein the preset detector comprises known member data and non-member data. According to the text security detection method provided by the invention, whether the text data is leaked or not is judged by acquiring the multi-dimensional feature vector as the input data of the preset detector, so that not only can the misjudgment rate caused by a single feature be reduced, but also the preset detector enables the detection process to realize high automation, and the detection efficiency is improved. The detection speed is improved, and meanwhile high accuracy and reliability are guaranteed.

This utility model relates to the technical field of extraction devices for veterinary drug residue detection, and more particularly to an extraction device for veterinary drug residue detection, comprising a device body, a receiving frame fixedly connected to the top left side of the device body, a feeding box fixedly installed at the top rear section of the receiving frame, a cover plate hinged to the top of the feeding box, and a flow guide frame connected to one end of the front of the feeding box. In the sample addition stage, the inclined design of the flow guide frame allows the sample to automatically slide into the centrifuge tank, eliminating the need for manual transfer; during centrifugation, the centrifuge and pump one automatically complete solid-liquid separation and liquid storage; during reagent titration, pump two and the titration nozzle precisely and quantitatively add reagents; compared to traditional manual operation or simple mechanical assistance extraction devices, this reduces a large number of tedious manual operation steps, significantly shortens the detection time, increases the sample processing capacity per unit time, and effectively meets the high efficiency requirements of modern veterinary drug residue detection.

The invention relates to the technical field of molecular detection, in particular to a method, a system, a kit and a probe for detecting BRCA2 gene mutation. The detection method comprises the following steps: carrying out pretreatment and PCR amplification on a blood sample, carrying out a hybridization reaction with a probe to obtain a sample, detecting the sample based on an SERS technology, and collecting an SERS spectrum. Whether BRCA2 gene mutation exists or not is judged by identifying characteristic double peaks of a cy3 fluorophore at 1188 cm <-1 > and 1393 cm <-1 >, and the whole detection process can be completed within 2 hours. According to the scheme, the region, carrying the BRCA2 gene, on the DNA can be amplified through the specific primer pair, then the DNA is specifically combined through the improved oligonucleotide probe, and detection is achieved through the reporter molecule on the oligonucleotide probe; therefore, the detection method provided by the scheme has the advantages of high detection speed, high sensitivity and high detection result accuracy, and the problems of long time consumption and high cost of the traditional PCR or NGS technology are effectively solved.

The present application belongs to the field of CT tomographic reconstruction technology and artificial intelligence, and discloses a limited-angle CT reconstruction artifact suppression method based on a multi-domain feature fusion network. In view of the problem that the reconstruction result of traditional CT scanning under limited-angle conditions is prone to artifacts and structural distortion, thereby affecting the image quality and defect detection accuracy, the present application constructs a multi-domain feature fusion artifact suppression network, takes the limited-angle reconstruction result as input, and realizes artifact suppression and detail recovery through the synergistic effect of the encoder part, the decoder part, the feature enhancement part and the feature conversion part. The present application can obtain high-quality tomographic images under limited-angle conditions, effectively reduces the scanning angle and time of industrial CT detection, improves the imaging clarity and reliability without increasing the radiation dose, is suitable for industrial detection of complex structure workpieces, and has important industrial application value.

The present application relates to the technical field of bridge quality detection, especially to a continuous beam bridge different span loading load test method, comprising the following steps: determining a control section on the continuous beam bridge; measuring the axle load and the wheelbase of the test vehicle; calculating and analyzing the interval area of the calculated bending moment change effect function with the moving vehicle; analyzing and calculating the interval area of the measured bending moment change effect function with the moving vehicle; comparing the ratio of the interval area of the calculated bending moment change effect function with the moving vehicle and the interval area of the measured bending moment change effect function with the moving vehicle through the calibration coefficient to determine whether the bearing capacity requirement is met. The continuous beam bridge different span loading load test method can effectively reduce the arrangement of measuring points and the need for test vehicles, and quickly and accurately judge the bearing capacity state of the bridge by calculating the bending moment change effect function with the moving vehicle and the measured bending moment change effect function with the moving vehicle.

This invention relates to a method for preparing a bimodal hydrogel detection reagent for carbofuran residues in cucumbers, belonging to the field of food safety testing. The bimodal hydrogel detection reagent is a hydrogel-like detection reagent synthesized by adding a copper-doped metal-organic framework to a sodium alginate-calcium carbonate hydrogel system. The bimodal hydrogel detection reagent is a three-dimensional network structure material. The detection limit of the bimodal hydrogel detection reagent for carbofuran in cucumbers is 17.59 μM in the colorimetric mode (0-250 μM) and 5.98 μM in the fluorescence mode (0-180 μM), achieving bimodal detection. This not only enables real-time on-site monitoring of carbofuran residues in cucumbers but also ensures the accuracy of the detection results through cross-validation between the two modes; the detection time is within 1.5 hours, and it exhibits good specificity for carbofuran residues in cucumbers.

The application provides a surface enhanced Raman imaging system applied to single cell metabolism detection, comprising a laser emission module, a microscopic Raman generation and imaging module, a Raman collection module and a central control module; the laser emission module generates a laser beam and is coupled to the microscopic Raman generation and imaging module; the laser beam emitted by the laser emission module is sequentially reflected by a Raman dichroic band edge filter, transmitted by an imaging dichroic band edge filter and reflected by a second reflector of the Raman generation and imaging module, and then focused by a microscope objective to a sample to be detected; backscattering Raman spectrum signals generated by the sample to be detected are converted into parallel light by the microscope objective, reflected by the second reflector, transmitted by the imaging dichroic band edge filter and the Raman dichroic band edge filter, and then output to the Raman collection module for spectral spectroscopy and detection; the central control module is connected with the laser emission module, the microscopic Raman generation and imaging module and the Raman collection module and performs data interaction.

The invention discloses a motor air tightness testing device, and solves the problem that a test result can be obtained only through multiple times of detection or time increase due to the fact that existing detection equipment is too long in detection time. The motor air tightness testing device comprises an air tightness tester, a motor positioning assembly used for positioning a testing motor, an inflation pipeline assembly connected with the air tightness tester, and a motor outgoing line ventilation assembly communicated with a motor outgoing line of the testing motor. The air inflation pipeline assembly comprises a first air inflation pipeline connected with an air inlet of the test motor and a second air inflation pipeline connected with the motor outgoing line ventilation assembly, and the first air inflation pipeline and the second air inflation pipeline inflate the test motor in the air tightness test process of the test motor.

The application discloses a cotton bale detection method based on multi-modal data timestamp synchronization and GPU / CPU collaborative acceleration, collects multi-modal data, marks timestamps, and performs GPU accelerated distortion correction on cotton bale images; the multi-modal data is synchronized and integrated according to timestamps; a main program adopts Nodelet combined with C++ multi-threading technology to process the reception of multi-modal data and the publication of multi-modal sensor coordinate systems in parallel, the main program running optimizes the transmission efficiency of multi-modal data; a cotton bale detection model is constructed, the optimized multi-modal data are input for training, the cotton bale detection model after training is optimized using TensorRT, and cotton bale images are input for inference, cotton bale target recognition data are obtained and transmitted to a CPU for post-processing operation, and OpenMP is used to accelerate point cloud traversal in the main program to match the cotton bale target recognition data with laser radar point cloud data; the matched multi-modal data are subjected to point cloud feature and plane fitting calculation, and the rectangular frame, pose information and score of the cotton bale target are obtained.

This utility model discloses a fabric colorimetric testing device for textile fabric production, relating to the field of fabric colorimetric testing technology. It includes a water tank body with an installation mechanism for fabric colorimetric testing in textile fabric production. The installation mechanism includes an adjustment component and a first support frame connected to the side wall of the water tank body via an opening and closing component. A first electric push rod is fixedly fixed through the upper end of the first support frame, and a mounting bracket is fixed to the telescopic end of the first electric push rod. This utility model uses a motor to drive a rotating disk to rotate, and a connecting shaft pushes a slider to slide on a sliding rod. The linear motion of the slider is converted into the reciprocating oscillation of a swing rod through the connecting rod and the mounting shaft. The swing bracket beats the fabric, mechanically accelerating dye separation on the fabric surface, shortening the testing time, and simultaneously agitating the water during the beating process, promoting uniform dye diffusion and improving testing accuracy.

This invention discloses a method and system for classifying pear varieties based on a minimum feature set, belonging to the field of agricultural product classification technology. The method involves acquiring raw physicochemical index data of pear samples, standardizing the data to obtain a standardized dataset, and then performing principal component analysis (PCA) to verify the separability of the raw physicochemical index data. An orthogonal partial least squares discriminant analysis (OPLS-DA) model is used for pairwise comparisons across multiple groups. After screening and ranking, a subset of key difference components is obtained. This subset is then ranked by importance and sequentially input into a random forest model for training. After cross-validation, a minimum feature set is obtained, and the final random forest model is derived based on this minimum feature set for classifying pear varieties. This invention ensures the reliability of national standard testing methods while effectively reducing the number of testing indicators, achieving high-efficiency and low-cost accurate identification of agricultural products, effectively reducing testing costs, and promoting industry development.

The application discloses a liquid-phase chip nucleic acid detection kit and a detection method for simultaneously detecting 10 respiratory pathogenic bacteria of experimental animals. The 10 pathogenic bacteria are Clostridium coccoides, Klebsiella pneumoniae, Corynebacterium murium, Mycoplasma pulmonis, Bordetella bronchiseptica, Pasteurella multocida, Streptococcus pneumoniae, Streptococcus pyogenes, Streptococcus mutans and Pneumocystis carinii. Primers are designed according to specific target genes of the pathogenic bacteria, a TAG sequence is connected to the 5' end of an upstream primer, and a biotin label is marked on the 5' end of a downstream primer. After multiplex PCR amplification, the product is hybridized with a corresponding MagPlex-TAG microsphere, and a liquid-phase chip system is used to detect a fluorescence signal. The method can simultaneously detect the 10 pathogenic bacteria in the same reaction system, has the advantages of high throughput, high sensitivity, high specificity, good repeatability and the like, and provides an efficient monitoring tool for microbial quality control of experimental animals.

The present application relates to a kind of intelligent detection method and detection system of surface coating micron-sized pore, scheme as follows: obtain coating surface image to be detected and execute standardization preprocessing;Preprocessing image is input into trained hole profile segmentation model, and hole profile coordinates are obtained;Based on hole profile coordinates, construct hole connected region by morphological operation, and according to geometric feature, Gap region that does not need to be punched is screened;Preprocessing image is input into trained missed hole detection model, and real missed hole region is obtained;According to hole profile coordinates, calculate geometric feature parameter, determine collapse hole and calculate hole distribution density, finally output detection quality result.The present application realizes the high-precision, automation detection of micron-sized pore by the combination of deep learning model and morphological operation, geometric parameter calculation, solves the inherent defects of artificial detection, meets the high consistency, large batch fast control demand of modern manufacturing industry to surface coating quality.

The utility model discloses a closed chip consumable, including main part, be equipped with sample inlet, pre dilution area, ration area, mixing area and detection unit on the main part, and pre dilution area includes premixing cavity and premixing fluid channel with its export intercommunication, and mixing area includes mixing cavity and mixing fluid channel with its export intercommunication, sample inlet, premixing cavity, premixing fluid channel, ration area, mixing cavity, mixing fluid channel and detection unit sequence connection, and premixing cavity and mixing cavity all store reagent in, and premixing cavity and mixing cavity can be pressed and moved, and after pressing and moving, the content in it is mixed in it. This consumable can realize zero contact operation, can avoid cross contamination and operating error, and shorten the detection time. Moreover, premixing cavity can handle sample in advance and then make sample enter each mixing cavity and handle, this can reduce the structure size of each mixing cavity, thereby reduce the structure size of consumable.

The utility model relates to the technical field of analysis and detection, and discloses environment-friendly odor-removing gel odor release detection equipment which comprises a protective shell, a base plate is fixedly connected to the inner wall of the bottom end of the protective shell, a power shaft is rotatably connected to the inner wall of the bottom end of the base plate, and a connecting column is rotatably connected to the interior of the power shaft. Two limiting blocks are fixedly connected to the exterior of the power shaft, rotating shafts are rotatably connected to the interiors of the close sides of the two limiting blocks, a supporting strip is fixedly connected to the exterior of each rotating shaft, a first supporting column is fixedly connected to the top of the rear end of each supporting strip, and a limiting disc is fixedly connected to the top end of each first supporting column; and an ejector rod is fixedly connected to the interior of the front side of the supporting strip, and a first rotating wheel is fixedly connected to the bottom end of the ejector rod. According to the utility model, the problem of long detection and analysis time caused by slow gas release in use of environment-friendly odor-removing gel odor release detection equipment is effectively solved.

This utility model provides a universal rapid inspection tool for the center distance of drilled curved holes, relating to the field of machining inspection technology. It includes: a base plate; a base is mounted on the base plate by screws; a partition plate is mounted on the upper end of the base plate; a through groove is provided on the partition plate; a seat plate is fixed to the lower end of the partition plate; a movable plate that can move back and forth is installed in the through groove of the partition plate; a fixed seat is fixed on the movable plate; a first hydraulic rod is fixedly mounted on the fixed seat; the piston rod of the first hydraulic rod is fixedly connected to the seat plate; a sliding plate that can slide back and forth is mounted on the partition plate; the movable plate is connected to the right side of the sliding plate by bolts; and a support is fixed on the partition plate. This utility model significantly improves inspection efficiency and accuracy through innovative design. The hydraulically driven movable plate and lifting plate achieve rapid positioning, and with real-time readings from a dial indicator, the inspection time for a single piece is shortened to within 30 seconds, improving efficiency by 5-10 times compared to traditional coordinate measuring machines. The standardized process is suitable for online inspection on production lines.

The invention discloses a hot-rolled plate structure toughness prediction method and system combined with an impact energy change curve, and belongs to the technical field of metal material structure performance evaluation.The method comprises the steps that an impact test is conducted on a hot-rolled plate sample, and an impact force-displacement curve and an energy absorption-time curve are collected in real time; preprocessing the impact force-displacement curve and the energy absorption-time curve, and extracting characteristic parameters; acquiring hardness distribution data of the hot-rolled plate sample, acquiring hardness gradient data by using the hardness distribution data, and taking the hardness gradient data as a correction factor of the curve characteristics; constructing a structure toughness prediction model based on the characteristic parameters and the correction factors, and predicting the toughness grade and the structure state of the hot-rolled plate; and outputting the toughness grade and the structure state of the hot-rolled plate. According to the method, the limitation that traditional metallographic detection consumes too long time and an impact test only provides a single value is solved, double evaluation results can be obtained within 30 seconds after the impact test, and the method is suitable for rapid online quality monitoring and process adjustment of hot rolling production.

The utility model relates to wafer defect detection technical field especially a kind of wafer surface defect detection equipment, it includes second fixed frame, and install detection light source, wafer support mechanism and surface detection device on second fixed frame, wafer support mechanism is used to place wafer to be detected, the light illumination direction of detection light source is towards wafer to be detected, surface detection device includes primary inspection camera, re-inspection camera and depth detection sensor sequentially acting and along X direction arrangement;Wafer support mechanism includes second sliding rail and second sliding frame, the second sliding rail extends along X direction, second sliding frame is slidably arranged on the second sliding rail, and wafer is carried sequentially into the shooting range of primary inspection camera, re-inspection camera and depth detection sensor.This utility model integrates primary inspection camera, re-inspection camera and depth detection sensor in the same set of equipment, so that wafer can complete three rounds of detection of rapid rough detection, fine re-inspection and defect depth detection on a set of equipment.

The invention discloses an automatic magnetic flux leakage flaw detection device and method for the internal connection quality of a steel bar sleeve, the automatic magnetic flux leakage flaw detection device for the internal connection quality of the steel bar sleeve comprises a shell, a magnetizing device and an automatic flaw detection assembly, the magnetizing device comprises a magnetizer shell and a magnetizer, and the magnetizer is installed on the magnetizer shell; the automatic flaw detection assembly comprises a guide rail, a sliding block, a driving motor, a transmission mechanism, a detection shoe support and a magnetic induction sensor, the sliding block is slidably installed on the guide rail, the driving motor is connected with the sliding block through the transmission mechanism, the detection shoe support is fixed to the sliding block, and the magnetic induction sensor is installed on the detection shoe support. The magnetic flux leakage detector is used for detecting magnetic flux leakage information on the surface of the reinforcing steel bar sleeve in the moving process of the sliding block. Based on the principle that after the reinforcement sleeve is connected with the two reinforcements and magnetized by the magnetizing device, magnetic field distortion can be generated in the gap between the two reinforcements of the reinforcement sleeve assembly, the defect signal in the reinforcement sleeve can be quickly captured under the condition that a component is not damaged, and the operation is simple and convenient.

This invention discloses a method and system for simultaneous analysis of multiple lipid indicators in fingertip capillary blood, relating to the field of chemical analysis. The method includes S1: micro-sample pretreatment of fingertip blood; S1.5: sample matrix interference pretreatment; S2: multi-channel parallel specific reaction; S3: multi-band spectral synchronous detection; S4: machine learning intelligent calibration and analysis; and S5: result output and quality control verification. This method and system achieves simultaneous detection of five core lipid indicators in fingertip blood samples in a short time, with low deviation and cross-interference rates between the detection results and venous blood biochemical detection, and high matrix interference inhibition rate. It also possesses advantages of portability, speed, and accuracy, solving the problems of low detection efficiency, limited applicability, and matrix interference affecting accuracy in existing technologies.

The invention provides a fluorescent quantitative PCR (polymerase chain reaction) detection primer, a kit and a method for a novel variable chalmavirus VP gene, and belongs to the technical field of virus detection. A specific primer is designed and synthesized according to a conserved sequence of a VP gene of the novel variant chalmavirus, a recombinant plasmid is constructed, then the recombinant plasmid is used as a standard substance to establish a standard curve, a real-time fluorescent quantitative PCR detection system aiming at the novel variant chalmavirus is constructed, and specific detection of the novel variant chalmavirus is realized. The detection method can be used for quantitatively detecting the novel variant chalmavirus in the to-be-detected sample, and has the characteristics of high speed, high sensitivity, strong specificity and the like; the method provides a key technical support for molecular epidemiological investigation of the Sepamavirus in animal populations, is helpful for realizing early screening of infected individuals and timely blocking of virus transmission, and has important practical significance for guaranteeing population health and maintaining high mountain ecosystem stability.

The application discloses a kind of wind power main shaft front axle sleeve camber detection equipment, it is related to wind power main shaft detection technical field, including detection base, the side of detection base is connected with portal frame in bearing frame;Gear disc is mounted in the inside of suspension plate in bearing frame, the both sides of gear disc are provided with input rotating lever and output rotating lever, and input rotating lever and output rotating lever are driven and cooperated by gear mechanism, and the one end of output rotation is equipped with inner curvature detection rod, and the both ends of inner curvature detection rod are equipped with first and second camber measuring instrument;The side of bearing frame is equipped with first and second outer curvature detection rod;The side of portal frame is equipped with load beam, and load beam is equipped with support mechanism.The application is further eliminated manual operation risk by being equipped with support mechanism and curvature detection structure, simultaneously, precise gear transmission and the arrangement structure of multiple measuring instrument are utilized, can realize inner and outer camber accurate measurement, and with mechanical automation replaces manual operation, so that detection process is safe, accurate, efficient.

The application provides a noise reduction performance detection method and device, which is applied to a noise reduction performance detection device, the noise reduction performance detection device comprises an audio input device and an audio output device; in response to a noise reduction performance detection operation of a user on the audio input device, a preset audio test signal is output through the audio output device; the preset audio test signal is received through the audio input device; after the preset audio test signal is processed by the audio input device, an audio noise reduction signal is obtained; a preset noise reduction performance test interface is called to process the preset audio test signal, the audio noise reduction signal and a preset audio standard signal, and a noise reduction performance detection result is obtained. By using the method, when a user detects the noise reduction performance through the noise reduction performance detection device, the user does not need to frequently control the device, the detection process is relatively convenient and fast, and the detection efficiency is improved.

The application relates to a network traffic concept drift detection method based on a Count-Min sketch data structure and belongs to the network traffic analysis field. The application records the multidimensional statistical information of network traffic through a CM sketch data structure, starts from the multidimensional probability distribution of network flow, monitors the multidimensional Hellinger distance change condition every certain period, performs network traffic concept drift detection, and detects the type of network traffic concept drift based on the Euclidean distance. The application records the multidimensional statistical information of network traffic through a CM sketch data structure, saves the storage space, each dimension is relatively independent, can be processed in parallel, and saves the detection time; starts from the multidimensional probability distribution of network flow, monitors the multidimensional Hellinger distance change condition, performs network traffic concept drift detection, reduces the concept drift false detection rate and the missed detection rate, makes the detection result more accurate; can correctly identify the network traffic concept drift type, discovers new applications and distributed drift applications, and has important significance in network intrusion detection and the like.

The invention relates to a primer probe combination for identifying E, J and K subgroups of avian leukosis viruses, a detection method and application of the primer probe combination. The detection system for identifying the avian leukosis virus subgroup comprises an upstream primer ALV-E-F, a downstream primer ALV-E-R and a probe ALV-E-P of a gp85 gene conserved region of targeted ALV-E, and an upstream primer ALV-J-F, a downstream primer ALV-J-R and a probe ALV-J-P of an env gene conserved region of targeted ALV-J, the upstream primer ALV-K-F, the downstream primer ALV-K-R and the probe ALV-K-P are used for targeting a gp85 gene conserved region of ALV-K. The detection system for identifying the avian leukosis virus subgroups has no cross reaction with other ALV subgroups and common avian pathogens, and has strong specificity.

The application relates to a relay fault detection method, device and system of an inverter system, wherein the method comprises the following steps: detecting a first voltage difference of voltages on two sides of a bypass relay unit, and judging whether the first voltage difference meets a first preset condition; if yes, closing a relay of the bypass relay unit, detecting a second voltage difference of voltages on two sides of the bypass relay unit, and judging whether the second voltage difference meets a second preset condition; if yes, detecting a third voltage difference of voltages on two sides of an off-grid relay unit, and judging whether the third voltage difference meets a third preset condition; if yes, closing a relay of an on-grid relay unit, detecting a fourth voltage difference of voltages on two sides of the off-grid relay unit, and judging whether the fourth voltage difference meets a fourth preset condition; and if yes, the inverter system enters an on-grid working mode. According to the application, the detection time of the relay fault detection of the inverter system is shortened.

The utility model provides a sterilization glass slide convenient for gram staining and identification, which comprises a glass slide main body, a sample information marking area, a standard bacterium area and a sample bacterium area are sequentially arranged on the front surface of the glass slide main body, and the sterilization glass slide is characterized in that the sample information marking area, the standard bacterium area and the sample bacterium area are sequentially arranged along the length direction of the glass slide main body; the front surface of the glass slide main body is partitioned through partition straight lines coated with the front surface of the glass slide main body, the partition straight lines are arranged in the width direction of the glass slide main body, and the multiple partition straight lines are sequentially distributed at intervals in the length direction of the glass slide main body; separation round lines are respectively arranged in the standard bacterium area and the sample bacterium area; and the thicknesses d of the separation straight lines and the separation round lines are 0.5-2 mm, and the widths D of the separation straight lines and the separation round lines are 0.5-2 mm. According to the utility model, the cross contamination problem in the staining process can be effectively improved, false positive and false negative phenomena are avoided, the accuracy of a staining result is improved, and the operation convenience, the result accuracy and the test efficiency of gram staining and identification of sample bacteria are improved.

This invention discloses a laser drilling depth monitoring device, method, control terminal, and storage medium. The device includes a measurement source, a collimator, a galvanometer, and a field lens. The collimator collimates the measurement laser emitted by the measurement source before directing it into the galvanometer. The galvanometer coaxializes the measurement laser and the processing laser before focusing them into the processed sample through the field lens. The measurement source receives reflected laser light from the processed sample to calculate the drilling depth of the processed laser within the sample. This allows measurement to be performed during the drilling process, reducing detection time and increasing detection coverage.