High-throughput screening device, control method, electronic equipment and storage medium

Abstract

The invention discloses a high-throughput screening device, a control method, electronic equipment and a storage medium, and belongs to the technical field of electrochemical detection technologies. The high-throughput screening device comprises a movement assembly, a machine vision assembly, an automatic measurement assembly and an upper computer, the movement assembly comprises an electric sliding table, a sample table and a conductive base; the machine vision assembly comprises a telecentric lens and a machine vision camera; the automatic measuring assembly comprises a scanning droplet battery, and a reference electrode, a counter electrode and a transmission pipeline are arranged on the scanning droplet battery; the upper computer is used for controlling the movement assembly to move the sample to the position below the telecentric lens; the upper computer is also used for controlling the movement assembly and the automatic measurement assembly according to the sample image, so that the scanning droplet battery performs electrochemical detection on sample points on the sample one by one. The high-throughput screening device can be automatically controlled, and the working efficiency is improved.

Description

Technical Field

[0001] The present application relates to the field of electrochemical detection technology, and in particular to a high-throughput screening device, a control method, an electronic device and a storage medium. Background Art

[0002] The traditional chemical research paradigm relies heavily on the "trial and error method", but for materials with a wide combination space such as high-entropy alloys and perovskites, it is difficult to screen them one by one. Most existing high-throughput screening devices are suitable for biological and drug analysis, and cannot be fully automated. They usually require manual sample replacement, real-time monitoring, and experimental parameter adjustment, resulting in low efficiency of high-throughput screening devices.

[0003] Therefore, how to realize automated control of high-throughput screening devices and improve work efficiency is a technical problem that technicians in this field currently need to solve. Summary of the invention

[0004] The purpose of the present application is to provide a high-throughput screening device, a control method, an electronic device and a storage medium, which can realize automated control of the high-throughput screening device and improve work efficiency.

[0005] In order to solve the above technical problems, the present application provides a high-throughput screening device, comprising: a motion component, a machine vision component, an automatic measurement component and a host computer, wherein the motion component, the machine vision component and the automatic measurement component are all connected to the host computer;

[0006] The motion assembly includes an electric slide, a sample stage arranged on the electric slide, and a conductive base arranged on the sample stage; wherein the conductive base is used to place a sample, and there are multiple sample points on the sample; the electric slide is used to drive the sample stage and the conductive base to move according to the instruction of the host computer;

[0007] The machine vision component includes a telecentric lens and a machine vision camera disposed above the telecentric lens; wherein the machine vision camera is used to photograph the sample placed on the conductive base through the telecentric lens and transmit the sample image to the host computer;

[0008] The automatic measurement component includes a scanning droplet battery, on which a reference electrode, a counter electrode and a transmission pipeline are arranged; wherein the scanning droplet battery is used to perform electrochemical detection on the sample point and transmit the detection result to the host computer;

[0009] The host computer is used to control the motion component to move the sample to below the telecentric lens; the host computer is also used to control the motion component and the automatic measurement component according to the sample image, so that the scanning droplet battery performs electrochemical detection on the sample points on the sample one by one.

[0010] Optionally, the electric slide of the motion assembly includes an X-axis electric linear slide and a Y-axis electric linear slide;

[0011] Among them, the Y-axis electric linear slide is arranged on the X-axis electric linear slide, the sample stage is arranged on the Y-axis electric linear slide, and the sample stage is provided with a leveling screw.

[0012] Optionally, the motion assembly further includes a negative pressure pipeline, and the sample stage and the conductive base are provided with holes communicating with the negative pressure pipeline.

[0013] Optionally, the machine vision component also includes: a fixed base, a fixed bracket arranged on the fixed base, a slide arranged on the fixed bracket, and a fixed groove arranged on the slide; wherein the fixed groove is used to install the telecentric lens, and the slide is used to adjust the focal length.

[0014] Optionally, the automatic measurement component also includes a fixed plate, a Z-axis electric linear slide arranged on the fixed plate, a fixed base arranged on the Z-axis electric linear slide, and a lighting component arranged on the fixed base.

[0015] Optionally, the automatic measurement component further comprises a sensor disposed on the fixed base; wherein the sensor is used to detect whether the scanning droplet battery is in contact with the sample point, and the scanning droplet battery is mounted on the sensor.

[0016] Optionally, the high-throughput screening device further comprises an observation component;

[0017] The observation component includes a multi-power microscope and a digital camera arranged on the multi-power microscope; the digital camera is connected to the host computer; the digital camera is used to take a working status image of the high-throughput screening device through the multi-power microscope, and upload the working status image to the host computer.

[0018] The present application also provides a control method for a high-throughput screening device, which is applied to a host computer of the above-mentioned high-throughput screening device. The control method for the high-throughput screening device comprises:

[0019] The sample on the conductive base is moved to below the telecentric lens by controlling the electric slide;

[0020] Using the machine vision camera to capture a sample image, and performing target detection on the sample image to obtain position information of each sample point;

[0021] The scanning droplet battery is controlled according to the position information to perform electrochemical detection on the sample point to obtain a detection result.

[0022] Further, controlling the scanning droplet battery to perform electrochemical detection on the sample point according to the position information includes:

[0023] Step 1: Determine the current sample point to be detected according to the detection order of the sample points;

[0024] Step 2: Control the movement of the electric slide according to the position information of the current sample point to be detected, so that the current sample point to be detected moves to the bottom of the scanning droplet battery;

[0025] Step 3: Control the scanning droplet battery to move downward so that the scanning droplet battery contacts the sample point to be detected;

[0026] Step 4: controlling the scanning droplet battery to perform electrochemical detection on the sample point;

[0027] Step 5: After the electrochemical detection of the sample point is completed, the scanning droplet battery is controlled to rise to a safe height;

[0028] Step 6: Determine whether the loop exit condition is met; if not, go to step 1.

[0029] Furthermore, target detection is performed on the sample image to obtain position information of each sample point, including:

[0030] Determine a sample edge from the sample image, and set the area enclosed by the sample edge as a substrate area;

[0031] The base region is subjected to Gaussian filtering, binarization, region connection and region segmentation operations in sequence to obtain a candidate image;

[0032] Feature filtering and template matching are performed on the candidate images to obtain position information of each sample point.

[0033] Further, after controlling the scanning droplet battery to perform electrochemical detection on the sample point according to the position information to obtain the detection result, it also includes:

[0034] Determine the detection current value corresponding to each of the sample points according to the detection result;

[0035] Performing differential calculation on the average value of the detected current value and the average value of the background current to obtain first data;

[0036] Performing data filtering and noise removal operations on the first data to obtain second data;

[0037] Calculating the average of all the second data to obtain an oxidation peak current and a reduction peak current;

[0038] Subtracting the oxidation peak current from the reduction peak current to obtain a cyclic voltammetry curve subtraction result;

[0039] Performing a straight line fitting on the first data, and performing integral calculation on the fitting result to obtain an electric quantity integral result;

[0040] Generate experimental results including sample point number, sample point coordinates, cyclic voltammetry curve difference results and charge integration results;

[0041] The experimental results are input into a machine learning model so as to utilize the machine learning model for data prediction and parameter optimization.

[0042] The present application also provides a storage medium on which a computer program is stored, and when the computer program is executed, the steps of the control method of the high-throughput screening device are implemented.

[0043] The present application also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor calls the computer program in the memory, the steps of the control method of the high-throughput screening device are implemented.

[0044] The present application provides a high-throughput screening device, which includes a motion component, a machine vision component, an automatic measurement component and a host computer. The machine vision component includes a telecentric lens and a machine vision camera, and the machine vision camera can take a sample image through a telecentric lens. The host computer can control the motion component and the automatic measurement component according to the sample image. The motion component includes an electric slide, a sample stage and a conductive base. Under the control of the host computer, the electric slide can drive the sample stage and the conductive base to move, without the need for staff to manually put the sample carried by the motion component in place. Under the control of the host computer, the scanning droplet battery in the automatic measurement component can perform electrochemical detection on the sample points on the sample one by one, and transmit the detection results to the host computer. It can be seen that the working process of the high-throughput screening device provided by the present application does not require manual participation, and the high-throughput screening device can be automatically controlled, thereby improving the working efficiency of the high-throughput screening device. The present application also provides a control method for a high-throughput screening device, an electronic device and a storage medium, which have the above-mentioned beneficial effects and are not repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 A schematic diagram of the principle of a high-throughput screening device provided in an embodiment of the present application;

[0047] Figure 2 A flow chart of a control method for a high-throughput screening device provided in an embodiment of the present application;

[0048] Figure 3 A schematic diagram of the overall structure of an unmanned high-throughput screening device based on machine vision provided in an embodiment of the present application;

[0049] Figure 4 A schematic diagram of the structure of a motion unit of an unmanned high-throughput screening device based on machine vision provided in an embodiment of the present application;

[0050] Figure 5 A schematic diagram of the structure of an automatic measurement unit of an unmanned high-throughput screening device based on machine vision provided in an embodiment of the present application;

[0051] Figure 6 A flowchart of a visual system calibration method provided in an embodiment of the present application;

[0052] Figure 7 A flowchart of a visual algorithm detection method provided in an embodiment of the present application;

[0053] Figure 8 A machine vision automatic recognition effect diagram provided in an embodiment of the present application;

[0054] Fig. 9 A data automatic processing flow chart provided in an embodiment of the present application;

[0055] Fig.10 A sample comparison diagram before and after optimization of a machine vision algorithm provided in an embodiment of the present application;

[0056] Fig.11 A machine vision automatic recognition patterned sample image provided in an embodiment of the present application;

[0057] Fig.12 An array diagram of a platinum-based high entropy alloy with different composition combinations provided in an embodiment of the present application;

[0058] Fig.13A position coordinate diagram of a sample point after automatic machine vision recognition provided by an embodiment of the present application;

[0059] Fig.14 An LSV curve for automatically processing all sample points of data provided in an embodiment of the present application;

[0060] Fig.15 A heat map of ORR activity of all sample points provided in an embodiment of the present application for automatic data processing. DETAILED DESCRIPTION

[0061] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0062] High throughput screening (HTS) refers to a technical system that uses an automated operating system to perform the test process, uses sensitive and fast detection instruments to collect experimental result data, uses computers to analyze and process experimental data, detects tens of millions of samples at the same time, and uses the corresponding database to support the operation. It has the characteristics of trace, rapid, sensitive and accurate. High throughput screening can obtain a large amount of information through a single experiment and find valuable information from it.

[0063] See below Figure 1 , Figure 1 This is a schematic diagram of the principle of a high-throughput screening device provided in an embodiment of the present application, in which A represents a motion component, B represents a machine vision component, C represents an automatic measurement component, and D represents a host computer.

[0064] The high-throughput screening device comprises: a motion component, a machine vision component, an automatic measurement component and a host computer. The motion component, the machine vision component and the automatic measurement component are all connected to the host computer.

[0065] Specifically, the motion assembly includes an electric slide, a sample stage arranged on the electric slide, and a conductive base arranged on the sample stage. The sample stage moves with the electric slide, and the conductive base is moved by the electric slide together with the sample stage. The conductive base is used to place a sample, and there are multiple sample points on the sample. The above-mentioned electric slide may include at least one of an X-axis electric slide and a Y-axis electric slide. The sample may be a rectangular sample piece, and the sample point refers to a single point on the sample.

[0066] The host computer is connected to the electric slide of the motion component, and the electric slide is used to drive the sample stage and the conductive base to move according to the instructions of the host computer.

[0067] Specifically, the above-mentioned machine vision component includes a telecentric lens, and a machine vision camera arranged above the telecentric lens; wherein the machine vision camera is used to photograph the sample placed on the conductive base through the telecentric lens, and transmit the sample image to the host computer. There may also be a device for fixing the telecentric lens in the machine vision component. The machine vision camera can take pictures when the motion component moves the sample to the bottom of the telecentric lens. Specifically, when the sample moves to the bottom of the telecentric lens, the motion component can return the in-position information to the host computer, and the host computer can send a shooting instruction to the machine vision camera so that the machine vision camera can photograph the sample through the telecentric lens. In the machine vision component, the telecentric lens and the machine vision camera are coaxially mounted.

[0068] Specifically, the automatic measurement component includes a scanning droplet battery, on which a reference electrode, a counter electrode and a transmission pipeline are provided; wherein the scanning droplet battery is used to perform electrochemical detection on the sample point and transmit the detection result to the host computer.

[0069] The reference electrode is used to provide a stable potential reference point. The reference electrode is in contact with the electrolyte to provide a stable potential reference for monitoring and controlling the potential of the working electrode, thereby studying the process of the electrochemical reaction. In this scheme, the sample point serves as the working electrode, and the counter electrode and the working electrode work together in the electrochemical circuit to jointly complete the closed path of the current. The transmission pipeline can be a liquid inlet pipe and a liquid outlet pipe, or an air inlet pipe and an air outlet pipe. The liquid inlet pipe is used to transport the electrolyte solution to the tiny droplets near the working electrode. The air inlet pipe is used to transport the reaction gas to the tiny droplets near the working electrode. The liquid outlet pipe is used to discharge the used electrolyte solution from the working electrode area. The air outlet pipe is used to discharge the gas after the reaction from the working electrode area. The automatic measurement component can also be provided with a device for controlling the movement of the scanning droplet battery so as to complete the detection operation of the sample point together with the scanning droplet battery.

[0070] The host computer is used to control the motion component to move the sample to below the telecentric lens; the host computer is also used to control the motion component and the automatic measurement component according to the sample image, so that the scanning droplet battery performs electrochemical detection on the sample points on the sample one by one.

[0071] The present embodiment provides a high-throughput screening device, which includes a motion component, a machine vision component, an automatic measurement component and a host computer. The machine vision component includes a telecentric lens and a machine vision camera, and the machine vision camera can take a sample image through the telecentric lens. The host computer can control the motion component and the automatic measurement component according to the sample image. The motion component includes an electric slide, a sample table and a conductive base. Under the control of the host computer, the electric slide can drive the sample table and the conductive base to move, without the need for staff to manually put the sample carried by the motion component in place. Under the control of the host computer, the scanning droplet battery in the automatic measurement component can perform electrochemical detection on the sample points on the sample one by one, and transmit the detection results to the host computer. It can be seen that the working process of the high-throughput screening device provided in this embodiment does not require human participation, and can enable the high-throughput screening device to achieve automatic control, thereby improving the working efficiency of the high-throughput screening device.

[0072] As Figure 1 Further introduction to the corresponding embodiment, the electric slide of the above-mentioned motion component includes an X-axis electric linear slide and a Y-axis electric linear slide; wherein the Y-axis electric linear slide is arranged on the X-axis electric linear slide, the sample stage is arranged on the Y-axis electric linear slide, and the sample stage is provided with a leveling screw.

[0073] As Figure 1 In a further description of the corresponding embodiment, the above-mentioned motion assembly further includes a negative pressure pipeline, and the sample stage and the conductive base are provided with holes connected to the negative pressure pipeline. When the negative pressure pipeline is activated, suction can be generated through the hole connected thereto, so that the sample and the conductive base are in full conductive contact.

[0074] As Figure 1 Further introduction to the corresponding embodiment, the above-mentioned machine vision component also includes: a fixed base, a fixed bracket arranged on the fixed base, a slide arranged on the fixed bracket, and a fixed groove arranged on the slide; wherein the fixed groove is used to install the telecentric lens, and the slide is used to adjust the focal length.

[0075] As Figure 1 For further introduction to the corresponding embodiment, the above-mentioned automatic measurement component also includes a fixed plate, a Z-axis electric linear slide arranged on the fixed plate, a fixed base arranged on the Z-axis electric linear slide, and a lighting component arranged on the fixed base.

[0076] As Figure 1As a further introduction to the corresponding embodiment, the above-mentioned automatic measurement component also includes a sensor arranged on the fixed base; wherein, the sensor is used to detect whether the scanning droplet battery is in contact with the sample point, and the scanning droplet battery is installed on the sensor.

[0077] As Figure 1 Further introduction to the corresponding embodiment, the high-throughput screening device further includes an observation component; the observation component includes a multi-fold microscope and a digital camera disposed on the multi-fold microscope; the digital camera is connected to the host computer; the digital camera is used to take a working state image of the high-throughput screening device through the multi-fold microscope, and upload the working state image to the host computer. The user can detect the working state of the high-throughput screening device through the observation component.

[0078] See below Figure 2 , Figure 2 This is a flow chart of a control method for a high-throughput screening device provided in an embodiment of the present application. This method is applied to a host computer of any of the above-mentioned high-throughput screening devices. The specific control method includes the following steps:

[0079] S201: moving the sample on the conductive base to below the telecentric lens by controlling the electric slide;

[0080] This step is used to ensure that the sample is accurately aligned with the shooting range of the machine vision component. First, the host computer determines the target position according to the preset program or the sample image analysis results; according to the target position, the electric slide is controlled to adjust the sample position so that the sample is stably positioned directly under the telecentric lens so that the machine vision camera can obtain high-quality sample images.

[0081] S202: Using the machine vision camera to capture a sample image, and performing target detection on the sample image to obtain position information of each sample point;

[0082] The machine vision camera uses a telecentric lens to capture the sample on the conductive base and transmits the sample image to the host computer. The host computer can use the image processing algorithm to perform target detection on the sample image, identify and locate each sample point, and obtain the position information of each sample point.

[0083] S203: Controlling the scanning droplet battery to perform electrochemical detection on the sample point according to the position information to obtain a detection result.

[0084] According to the position information of the sample point, this step can control the scanning droplet battery to move above each sample point. The scanning droplet battery includes a reference electrode and a counter electrode for performing electrochemical detection.

[0085] Specifically, this step can control the movement of the electric slide and the scanning droplet battery to ensure that each sample point is accurately located at the detection position, and then control the scanning droplet battery to contact the sample point for electrochemical detection. During the detection process, the current or voltage data is collected in real time and transmitted to the host computer, and the specific detection results of each sample point are obtained after analysis and processing.

[0086] This embodiment controls the electric slide, machine vision camera and scanning droplet battery respectively through the host computer, thereby realizing the full-process automation of the high-throughput screening device without manual intervention, greatly improving the work efficiency and accuracy of high-throughput screening.

[0087] As a further introduction to the above control method, electrochemical detection can be performed in the following ways:

[0088] Step A1: determining the current sample point to be detected according to the detection order of the sample points;

[0089] After determining the location information of the sample point, a corresponding serial number may be set for the sample point so as to determine the detection order according to the serial number. The current sample point to be detected is a sample point that needs to be detected currently.

[0090] Step A2: controlling the movement of the electric slide according to the position information of the current sample point to be detected, so that the current sample point to be detected moves to the position directly below the scanning droplet battery;

[0091] In the process of controlling the movement of the electric slide, the scanning droplet battery is at a safe height. The safe height refers to the height at which the scanning droplet battery will not touch the sample point.

[0092] Step A3: Control the scanning droplet battery to move downward so that the scanning droplet battery contacts the sample point to be detected;

[0093] After determining that the scanning droplet battery is in contact with the current sample point to be detected, the scanning droplet battery can be controlled to stop moving.

[0094] Step A4: controlling the scanning droplet battery to perform electrochemical detection on the sample point;

[0095] Step A5: After the electrochemical detection of the sample point is completed, the scanning droplet battery is controlled to rise to a safe height;

[0096] Step A6: Determine whether the loop exit condition is met; if so, end the process; if not, go to step A1.

[0097] The above loop exit condition is that all sample points are detected and the detection times of each sample point reaches the corresponding threshold.

[0098] As a further introduction to the above control method, the position information of the sample point can be determined in the following way:

[0099] Step B1: determining a sample edge from the sample image, and setting an area enclosed by the sample edge as a base area;

[0100] Step B2: performing Gaussian filtering, binarization, region connection and region segmentation operations on the base region in sequence to obtain a candidate image;

[0101] Step B3: Perform feature filtering and template matching on the candidate image to obtain the position information of each sample point.

[0102] As a further introduction to the above control method, after controlling the scanning droplet battery to perform electrochemical detection on the sample point according to the position information to obtain the detection result, the detection result can also be processed in the following manner:

[0103] Step C1: determining the detection current value corresponding to each of the sample points according to the detection result;

[0104] Step C2: performing differential calculation on the average value of the detected current value and the average value of the background current to obtain first data;

[0105] Step C3: performing data filtering and noise removal operations on the first data to obtain second data;

[0106] Step C4: Calculate the average of all the second data to obtain the oxidation peak current and the reduction peak current;

[0107] Step C5: subtracting the oxidation peak current from the reduction peak current to obtain a cyclic voltammetry curve subtraction result;

[0108] Step C6: performing a straight line fitting on the first data, and performing an integral calculation on the fitting result to obtain an electric quantity integral result;

[0109] Step C7: generating experimental results including sample point serial number, sample point coordinates, cyclic voltammetry curve difference result and charge integration result;

[0110] Step C8: Input the experimental results into the machine learning model so as to use the machine learning model for data prediction and parameter optimization.

[0111] The process described in the above embodiment is explained below through an embodiment in actual application.

[0112] Most existing high-throughput screening devices are suitable for biological and drug analysis and cannot be fully automated. Manual sample replacement, real-time monitoring, and experimental parameter adjustment are usually required. In addition, for large quantities of experimental data generated by high-throughput screening, manual intervention is usually required for further data processing and analysis, which cannot fully utilize the advantages of high-throughput screening and greatly limits the speed of new material development. Traditional experimental methods face the following major problems when screening complex material systems (such as high-entropy alloys, perovskites, metal-organic frameworks, etc.):

[0113] (1) Inefficient experimental process: Existing high-throughput screening devices require frequent manual operations, including sample replacement, real-time monitoring, and experimental parameter adjustment, resulting in low screening efficiency;

[0114] (2) Difficulty in processing big data: The large amount of data generated by high-throughput screening usually requires manual intervention for processing and analysis, which makes it impossible to achieve truly automated screening, significantly reducing experimental efficiency;

[0115] (3) Challenges of complex material systems: For example, high entropy alloys and other multi-component materials have complex composition spaces that make it very difficult to screen the best components using traditional sample-by-sample testing methods. There is an urgent need for a device that can process a large number of samples in parallel and perform unmanned screening. High entropy alloys are composed of five or more elements in an equimolar ratio or a nearly equimolar ratio, with the atomic percentage of each element ranging from 5% to 35%. Element atoms randomly occupy a lattice site, and multiple metals are mixed to form a single crystal phase crystal.

[0116] In response to the problems existing in high-throughput screening technologies in the above-mentioned fields of chemistry, materials and energy, this embodiment provides an unmanned high-throughput optical / electrochemical screening device and method based on machine vision to achieve automatic identification, automatic measurement of samples and automatic processing of data.

[0117] The above-mentioned high-throughput screening device includes a motion unit (i.e., a motion component), a machine vision unit (i.e., a machine vision component), an optical / electrochemical automatic measurement unit (i.e., an automatic measurement component), an observation unit (i.e., an observation component) and a data processing unit (i.e., a host computer).

[0118] The high-throughput screening device is implemented based on a high-resolution machine vision system. The automatic identification and analysis of samples based on the above-mentioned high-throughput screening device includes: the sample is placed on a conductive base, and the motion unit automatically moves it to the visual recognition module. The machine vision system automatically identifies and numbers the sample points through an image processing algorithm, and determines the precise position coordinates of each sample point. The machine vision system is implemented based on machine vision technology. Machine vision technology is to convert the captured target into an image signal through a machine vision product (i.e., an image capture device, which is divided into CMOS and CCD), transmit it to a dedicated image processing system, obtain the morphological information of the captured target, and convert it into a digital signal based on pixel distribution, brightness, color and other information; the image system performs various operations on these signals to extract the characteristics of the target, and then controls the equipment action on site based on the results of the judgment.

[0119] The automatic sample transfer and positioning process of the high-throughput screening device includes: the motion unit automatically transfers the sample point to the measurement unit according to the coordinate information provided by the machine vision system. After the sample reaches the measurement position, the automatic measurement unit stops through the sensor feedback signal and performs electrochemical or photochemical measurement on the sample point.

[0120] The automatic measurement and data processing process of the high-throughput screening device includes: after the optical / electrochemical automatic measurement unit completes the detection of the sample point, the data automatic processing unit receives and analyzes the measurement data. The data processing unit integrates intelligent analysis algorithms, which can automatically screen, extract features and analyze results of massive data and generate experimental reports. Automatic data processing refers to the process of collecting, organizing, analyzing and storing data through automation technology; this processing method aims to improve efficiency, reduce human errors, and respond quickly to changes.

[0121] The full-process unmanned control of the high-throughput screening device includes: after the measurement and analysis of the first sample point is completed, the motion unit, measurement unit and data processing unit automatically cooperate to measure and analyze the remaining sample points in turn according to the coordinate information provided by the machine vision system. The entire process does not require human intervention, ensuring unmanned operation.

[0122] High-throughput screening devices can process multiple groups of samples at the same time, and through multi-channel parallel operation, significantly improve the screening speed and efficiency to meet the needs of high-throughput screening. This solution uses a machine vision system to achieve a fully automated process from sample identification to measurement and then to data processing, greatly improving the efficiency and accuracy of high-throughput optical / electrochemical screening.

[0123] This solution realizes automatic identification, analysis and measurement based on machine vision technology, which greatly improves the efficiency of high-throughput screening; this solution reduces interference from human factors and ensures the consistency and accuracy of measurement results; this high-throughput screening device has strong interactive capabilities and can be seamlessly connected with other systems such as automatic data processing systems and machine learning systems, allowing users to monitor experimental progress and data results in real time; this high-throughput screening device has strong compatibility, and the automatic measurement module can adapt to different types of test requirements and can meet a variety of high-throughput screening needs.

[0124] See also Figure 3 , Figure 4 and Figure 5 , Figure 3 This is a schematic diagram of the overall structure of an unmanned high-throughput screening device based on machine vision provided in an embodiment of the present application. Figure 4 A schematic diagram of the structure of a motion unit of an unmanned high-throughput screening device based on machine vision provided in an embodiment of the present application, Figure 5 A schematic diagram of the structure of an automatic measurement unit of an unmanned high-throughput screening device based on machine vision provided in an embodiment of the present application. In the above figure, 100 represents a motion unit, 101 represents an X-axis electric linear slide, 102 represents a Y-axis electric linear slide, 103 represents a multifunctional sample stage, 104 represents a leveling screw, 105 represents a conductive base, 106 represents a wire, 107 represents a negative pressure pipeline, 200 represents a machine vision unit, 201 represents a fixed base, 202 represents a fixed bracket, 203 represents a manual slide, 204 represents a U-shaped fixed groove, 205 represents a telecentric lens, 206 represents a machine vision camera, 207 represents a machine vision communication transmission line, 300 represents an optical / electrochemical automatic measurement unit, 301 represents an L-shaped Z-axis fixing plate, 302 represents a Z Axial electric linear slide, 303 represents a multifunctional fixed base, 304 represents a lighting system, 305 represents a sensor, 306 represents a scanning droplet battery, 307 represents a liquid / gas inlet pipe, 308 represents a reference electrode, 309 represents a liquid / gas outlet pipe, 310 represents a counter electrode, 311 represents a light source, 312 represents a multifunctional shielding box, 400 represents an observation unit, 401 represents a fixed base, 402 represents a fixed bracket, 403 represents a multi-fold microscope, 404 represents a digital camera, and 405 represents an observation communication transmission line.

[0125] The mechanical design technology scheme of the high-throughput screening device is as follows:

[0126] The motion unit 100 includes: an X-axis electric linear slide 101, a Y-axis electric linear slide 102 arranged above the X-axis, a multifunctional sample stage 103 arranged above the Y-axis electric linear slide, a plurality of leveling screws 104 arranged above the multifunctional sample stage to keep the multifunctional sample stage horizontal, a plurality of conductive bases 105 arranged above the multifunctional sample stage, a plurality of wires 106 arranged in front of the conductive base for connecting the conductive base, and a plurality of negative pressure pipelines 107 arranged behind the conductive base for ensuring sufficient conductive contact between the sample and the conductive base.

[0127] The machine vision unit 200 includes: a fixed base 201, a fixed bracket 202 arranged above the fixed base, a manual slide 203 arranged on the right side of the fixed bracket for adjusting the focal length of the machine vision unit, a U-shaped fixing groove 204 arranged on the right side of the manual slide for fixing the telecentric lens, a telecentric lens 205, a machine vision camera 206 arranged above the telecentric lens, and a machine vision communication transmission line 207 arranged above the machine vision camera for connecting to a computer.

[0128] The photo / electrochemical automatic measurement unit 300 includes: an L-shaped Z-axis fixed plate 301, a Z-axis electric linear slide 302 vertically arranged in front of the fixed plate, a multifunctional fixed base 303 vertically arranged in front of the Z-axis electric linear slide, an illumination system 304 arranged above the multifunctional fixed base, a sensor 305 arranged in front of the fixed base for the automatic measurement unit approach, a scanning droplet battery 306 arranged in front of the sensor for automatic measurement, a liquid / gas inlet pipe 307 arranged above the scanning droplet battery, a reference electrode 308, a liquid / gas outlet pipe 309, a counter electrode 310, a light source 311 for photochemical reaction, and a multifunctional shielding box 312 for providing a dark field environment for photochemical reaction.

[0129] The observation unit 400 includes: a fixed base 401, a fixed bracket 402 arranged above the fixed base, a multi-power microscope 403 arranged above the fixed bracket, a digital camera 404 arranged above the multi-power microscope, and an observation communication transmission line 405 arranged above the digital camera for connecting to a computer.

[0130] The specific steps of using the high-throughput screening device are as follows:

[0131] Step D1: Move the multifunctional sample stage 103 to the sample placement area by controlling the XY dual-axis electric linear slide, place the sample directly above the conductive base 105 and connect it to the working electrode in the automatic measurement unit 300 through multiple wires 106, and open the negative pressure line 107 to ensure sufficient conductive contact between the sample and the conductive base 105. In this process, a fully automatic robot or robotic arm can be combined to achieve fully automatic operation.

[0132] Step D2: Move the sample to the bottom of the machine vision unit 200 by controlling the XY dual-axis electric linear slide. The machine vision camera 206 automatically identifies the sample and sends the image information to the computer through the machine vision communication transmission line 207. The computer processes the image using a self-programmed machine vision automatic processing algorithm, numbers the sample points and outputs the position coordinates of all sample points.

[0133] Step D3: The computer transmits the world coordinates of all sample points to the motion unit 100, and moves the first sample point to the bottom of the scanning droplet battery 306 by controlling the XY dual-axis electric linear slide. After the optical / electrochemical automatic measurement unit 300 receives the feedback signal indicating that the motion unit 100 has completed the movement, the Z-axis electric linear slide 302 starts the asymptotic operation, and the Z-axis electric linear slide 302 stops the asymptotic operation after receiving the feedback stop signal from the sensor 305.

[0134] When the scanning droplet battery 306 of the automatic measurement unit is in full contact with the sample point, the scanning droplet battery 306 of the automatic measurement unit is connected with the sample point to form a loop, and the Z-axis electric linear slide 302 stops moving in the Z-axis direction after receiving the feedback signal of the sensor 305.

[0135] Step D4: For electrochemical experiments, the automatic measurement experimental program and parameters can be set according to the experimental needs, and then the measurement can be started directly; for photochemical experiments, the multifunctional shielding box 312 needs to be closed first to provide a dark field environment for the photochemical reaction, and then the light source 311 needs to be turned on to drive the photochemical reaction. The automatic measurement experimental program and parameters can be set according to the experimental needs, and then the measurement can be started. Combined with the scanning liquid / gas inlet / gas pipe 307 and liquid / gas outlet / gas pipe 309 above the droplet battery 306, the experimental requirements in different atmospheres and different experimental systems can be met, and the system can be used in conjunction with other automated analysis and characterization instruments to realize product analysis.

[0136] Step D5: The Z-axis electric linear slide 302 automatically rises to a safe height after receiving the feedback signal of the completion of the measurement. The optical / electrochemical automatic measurement unit 300 sends the test data to the computer's data automatic processing unit for data processing and analysis, and outputs corresponding charts according to experimental requirements.

[0137] Step D6: The motion unit 100 moves each sample point to the bottom of the scanning droplet battery 306 in turn according to the position coordinates of the remaining sample points for asymptotic and automatic measurement. The test data of each sample point is sent to the computer's data automatic processing unit for data processing and analysis, and the corresponding chart is output according to the experimental requirements.

[0138] Step D7: After all sample points are measured, the Z-axis electric linear slide 302 automatically rises to a safe height, and the XY dual-axis electric linear slide automatically moves the sample to the sample placement area. The automatic data processing unit integrates and analyzes the test results according to the experimental requirements and outputs a report. Combined with other data processing technologies such as machine learning, it can achieve in-depth mining and trend prediction of the results, provide suggestions for optimizing experimental parameters, further improve the accuracy and efficiency of the experiment, and even support real-time feedback and adaptive adjustment, promoting the intelligence and automation of the experimental process.

[0139] Step D8: The waste liquid discharge and cleaning process in the scanning droplet battery 306 is completed by controlling the liquid inlet / gas pipe 307 and the liquid outlet / gas pipe 309, and the sample above the conductive base 105 is removed. Fully automatic operation can be achieved in combination with a fully automatic robot or mechanical arm.

[0140] The specific operation steps of the machine vision automatic identification solution for high-throughput screening devices are as follows:

[0141] Step E1: The telecentric lens 205, the machine vision camera 206 and the multifunctional sample stage 103 are adjusted to ensure that the camera is parallel to the viewing angle of the sample area to be inspected, thereby reducing image distortion and error.

[0142] Step E2: Use standard coordinate paper as a reference to collect real-time images, select valid points in the image and determine the pixel coordinates of the points.

[0143] Step E3: Move the selected point to the bottom of the machine vision unit 200 by moving the motion unit 100 to determine the world coordinates of the selected point, and repeat the above operation to determine the pixel coordinates and world coordinates of multiple selected points.

[0144] Step E4: Perform coordinate conversion between pixel coordinates and world coordinates. Once the coordinate conversion is completed, the calibration of the visual system is completed.

[0145] Step E5: After the sample is moved to the position directly below the machine vision unit 200 by controlling the XY dual-axis electric linear slide, the machine vision camera 206 captures the sample image and sends the image to the machine vision algorithm processing system.

[0146] Step E6: The machine vision algorithm processing system first searches for the base edge (left, right, top, bottom), obtains the intersection of adjacent edges, and creates the base region.

[0147] Step E7: Perform Gaussian filtering and binarization processing on the base area in turn to remove small objects and large objects from the morphological point of view and eliminate the interference of impurity points on the sample points.

[0148] Step E8: After removing small and large targets, all sample points are connected to each other and the regions of each sample point are segmented for feature filtering.

[0149] Step E9: Perform template matching on each sample point based on the shape, number the sample points and output the position coordinates of all sample points.

[0150] See also Figure 6 , Figure 6 A flowchart of a visual system calibration method provided in an embodiment of the present application, the process of which includes: adjusting the camera level; adjusting the sample stage level; acquiring real-time images; selecting valid points and determining the pixel coordinates of the points; moving the motion platform to move the selected points to the bottom of the probe to determine the world coordinates of the points; determining the pixel coordinates and world coordinates of multiple selected points, and performing coordinate conversion between pixel coordinates and world coordinates.

[0151] See also Figure 7 , Figure 7 A flowchart of a visual algorithm detection method provided in an embodiment of the present application, the process of which includes: the camera acquires an image, finds the base edge (left, right, top, and bottom), obtains the intersection of adjacent edges, creates a base area in sequence, Gaussian filtering, binarization processing, morphological processing (removing small targets, removing large targets and regional connectivity), performs segmentation area feature filtering, and shape-based template matching.

[0152] See also Figure 8 , Figure 8 A machine vision automatic recognition effect diagram provided in an embodiment of the present application.

[0153] The specific operation steps of the data automatic processing scheme of the high-throughput screening device are as follows:

[0154] Step F1: After the data automatic processing unit receives the experimental data sent by the optical / electrochemical automatic measurement unit, it first determines the data dimension and change trend based on the data, performs data segmentation on a large amount of experimental data, calculates the current average value for each sub-data after segmentation, differentiates the current average value from the background current average value, and saves the calculation result.

[0155] Step F2: by setting specific parameters, the data after background subtraction is subjected to data filtering, noise identification and removal, etc. After the processing is completed, the effective data is averaged, and after the average calculation is completed, the oxidation peak current and the reduction peak current are subtracted and the difference result of the cyclic voltammetry curve is saved.

[0156] Step F3: Perform straight line fitting on the data after background subtraction by setting specific parameters, perform integral calculation on different data after fitting, integrate the integral results of all data and save the final result of electrical quantity integration.

[0157] Step F4: Write a series of formulas based on the algorithm provided by the machine vision to calculate the coordinates of the sample points after leveling. After the calculation is completed, the coordinate information is integrated with the difference result of the cyclic voltammetry curve and the charge integration result.

[0158] Step F5: The number of scans and the amount of data for each scan are calculated by selecting a scan mode, setting an identifier, etc. The system sorts the sample points according to the sample point coordinates, the difference results of the cyclic voltammetry curve, and the charge integration results, generates a sorting order, records the index, and reads and saves the experimental results.

[0159] Step F6: After saving all processing results, the system integrates and analyzes all data according to experimental requirements, generates an experimental report, and combines machine learning algorithms to predict data trends and optimize experimental parameters. It can support real-time feedback and adaptive adjustment functions to further improve experimental efficiency and result accuracy.

[0160] See also Fig. 9 , Fig. 9 A data automatic processing flow chart provided in an embodiment of the present application. In the process of background removal, after inputting the experimental data, the data dimension and change trend are determined, the data is cut and the corresponding current average value is calculated, and the result is saved after the difference calculation. The result obtained by background removal is used as the input for the difference and charge integration of the cyclic voltammetry curve. The operations performed in the process of cyclic voltammetry curve difference include: data capture, setting specific parameters, data filtering, noise point judgment, mean value calculation, difference and saving results. The operations performed in the charge integration process include: data capture, setting specific parameters, straight line fitting, integration of different data, integration of integration results and saving results. In the leveling process, the formula can be written according to the proposed algorithm, the coordinates after leveling can be calculated and the results can be saved. The operations performed in the process of scanning array sorting include selecting the scanning mode, setting the identifier, calculating the number of scans and the amount of data each time, generating the sorting order, recording the index, reading and saving.

[0161] See also Fig.10 , Fig.10 A sample comparison diagram before and after machine vision algorithm optimization provided in an embodiment of the present application, showing sample images before and after machine vision algorithm optimization.

[0162] See also Fig.11 , Fig.11A machine vision automatic recognition patterned sample diagram provided in an embodiment of the present application shows the letters M, T, P, A, and S composed of sample points.

[0163] The above high-throughput screening device can be used to perform high-throughput screening of ORR activity of platinum-based high-entropy alloys, see Fig.12 , Fig.13 , Fig.14 and Fig.15 , Fig.12 This is a platinum-based high entropy alloy array diagram with different composition combinations provided in an embodiment of the present application. Fig.13 A position coordinate diagram of a sample point after automatic machine vision recognition provided by an embodiment of the present application, Fig.14 The LSV curve of all sample points provided by the embodiment of the present application is automatically processed by data. Fig.15 A data automatic processing ORR activity heat map of all sample points provided in the embodiment of the present application. The distance between the two nearest sample points in the figure is 2mm, 0~99 in the figure represent the sample point number, LSV (Linear Sweep Voltammetry) represents linear sweep voltammetry, ORR represents (Oxygen Reduction Reaction) oxygen reduction reaction, the ordinate current (μA) represents the current (microampere), and the abscissa Potential (V vs RHE) represents the potential relative to the reversible hydrogen electrode (Reversible Hydrogen Electrode, RHE), the unit is volt (V). 1-100 HEAs Group represents a collection of high-entropy alloys (HEAs) numbered from the 1st to the 100th. Fig.15 The horizontal and vertical axes represent the positions of the sample points.

[0164] Existing technologies have the following disadvantages: (1) low experimental efficiency, poor repeatability and susceptibility to human interference, making it difficult to meet the needs of large-scale material screening; (2) high-throughput screening devices are not sufficiently automated and cannot be operated unmanned; (3) the interaction and coordination capabilities between high-throughput screening and machine vision systems are insufficient, making it difficult to achieve joint use; (4) data processing is difficult. The massive experimental data generated by high-throughput screening usually requires manual processing and analysis, and is difficult to directly combine with other data processing technologies (such as machine learning), making it impossible to further conduct in-depth data mining and trend prediction.

[0165] Compared with the shortcomings of the above-mentioned prior art, this solution introduces machine vision technology and unmanned operation to achieve efficient sample identification, positioning and measurement, thereby greatly improving the experimental speed. At the same time, the unmanned process can ensure the consistency of each experimental condition, reduce the errors caused by human intervention, and improve the repeatability and accuracy of the experimental results. This solution integrates the motion unit, machine vision unit and automatic measurement unit to design an unmanned high-throughput screening system. The system can automatically complete various links such as sample transmission, identification, measurement and data processing, reducing human intervention. This solution deeply integrates machine vision technology and high-throughput screening devices to enhance the interactivity and coordination between systems, and can automatically identify the sample position and accurately transmit it to the measurement unit to optimize the experimental process. This solution introduces an automated data processing unit to realize automatic analysis and processing of experimental data. Combined with machine learning technology, it can realize deep mining and trend prediction of results, provide suggestions for optimizing experimental parameters, further improve the accuracy and efficiency of the experiment, and even support real-time feedback and adaptive adjustment, promoting the intelligence and automation of the experimental process.

[0166] An embodiment of the present application also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor calls the computer program in the memory, the steps of any of the above-mentioned control methods for high-throughput screening devices are implemented.

[0167] The present application also provides a storage medium on which a computer program is stored, and when the computer program is executed, the steps provided in the above embodiment can be implemented. The storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0168] Since the embodiments of the electronic device and storage medium part correspond to the embodiments of the method part, the embodiments of the electronic device and storage medium part refer to the description of the embodiments of the method part and will not be repeated here.

[0169] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same and similar parts between the various embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of this application, several improvements and modifications can be made to this application, and these improvements and modifications also fall within the scope of protection of this application.

[0170] It should also be noted that, in this specification, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprises", "comprising" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

Claims

1. A high-throughput screening device, characterized in that: include: A motion component, a machine vision component, an automatic measurement component and a host computer, wherein the motion component, the machine vision component and the automatic measurement component are all connected to the host computer; The motion assembly includes an electric slide, a sample stage arranged on the electric slide, and a conductive base arranged on the sample stage; wherein the conductive base is used to place a sample, and there are multiple sample points on the sample; the electric slide is used to drive the sample stage and the conductive base to move according to the instruction of the host computer; The machine vision component includes a telecentric lens and a machine vision camera disposed above the telecentric lens; wherein the machine vision camera is used to photograph the sample placed on the conductive base through the telecentric lens and transmit the sample image to the host computer; The automatic measurement component includes a scanning droplet battery, on which a reference electrode, a counter electrode and a transmission pipeline are arranged; wherein the scanning droplet battery is used to perform electrochemical detection on the sample point and transmit the detection result to the host computer; The host computer is used to control the motion component to move the sample to below the telecentric lens; the host computer is also used to control the motion component and the automatic measurement component according to the sample image, so that the scanning droplet battery performs electrochemical detection on the sample points on the sample one by one.

2. The high-throughput screening device according to claim 1, characterized in that: The electric slide of the motion assembly includes an X-axis electric linear slide and a Y-axis electric linear slide; Among them, the Y-axis electric linear slide is arranged on the X-axis electric linear slide, the sample stage is arranged on the Y-axis electric linear slide, and the sample stage is provided with a leveling screw.

3. The high-throughput screening device according to claim 1, characterized in that: The motion assembly further includes a negative pressure pipeline, and the sample stage and the conductive base are provided with holes communicating with the negative pressure pipeline.

4. The high-throughput screening device according to claim 1, characterized in that: The machine vision component also includes: a fixed base, a fixed bracket arranged on the fixed base, a slide arranged on the fixed bracket, and a fixed groove arranged on the slide; wherein the fixed groove is used to install the telecentric lens, and the slide is used to adjust the focal length.

5. The high-throughput screening device according to claim 1, characterized in that: The automatic measurement component also includes a fixed plate, a Z-axis electric linear slide arranged on the fixed plate, a fixed base arranged on the Z-axis electric linear slide, and a lighting component arranged on the fixed base.

6. The high-throughput screening device according to claim 5, characterized in that: The automatic measurement component further comprises a sensor disposed on the fixed base; wherein the sensor is used to detect whether the scanning droplet battery is in contact with the sample point, and the scanning droplet battery is mounted on the sensor.

7. The high-throughput screening device according to claim 1, characterized in that: The high-throughput screening device also includes an observation component; The observation component includes a multi-power microscope and a digital camera arranged on the multi-power microscope; the digital camera is connected to the host computer; the digital camera is used to take a working status image of the high-throughput screening device through the multi-power microscope, and upload the working status image to the host computer.

8. A method for controlling a high-throughput screening device, characterized in that: A host computer applied to the high-throughput screening device according to any one of claims 1 to 7, wherein the control method of the high-throughput screening device comprises: The sample on the conductive base is moved to below the telecentric lens by controlling the electric slide; Using the machine vision camera to capture a sample image, and performing target detection on the sample image to obtain position information of each sample point; The scanning droplet battery is controlled according to the position information to perform electrochemical detection on the sample point to obtain a detection result.

9. The control method of the high-throughput screening device according to claim 8, characterized in that: Controlling the scanning droplet battery to perform electrochemical detection on the sample point according to the position information includes: Step 1: Determine the current sample point to be detected according to the detection order of the sample points; Step 2: Control the movement of the electric slide according to the position information of the current sample point to be detected, so that the current sample point to be detected moves to the bottom of the scanning droplet battery; Step 3: Control the scanning droplet battery to move downward so that the scanning droplet battery contacts the sample point to be detected; Step 4: controlling the scanning droplet battery to perform electrochemical detection on the sample point; Step 5: After the electrochemical detection of the sample point is completed, the scanning droplet battery is controlled to rise to a safe height; Step 6: Determine whether the loop exit condition is met; if not, go to step 1.

10. The control method of the high-throughput screening device according to claim 8, characterized in that: Performing target detection on the sample image to obtain the position information of each sample point includes: Determine a sample edge from the sample image, and set the area enclosed by the sample edge as a substrate area; The base region is subjected to Gaussian filtering, binarization, region connection and region segmentation operations in sequence to obtain a candidate image; Feature filtering and template matching are performed on the candidate images to obtain position information of each sample point.

11. The control method of the high-throughput screening device according to claim 8, characterized in that: After controlling the scanning droplet battery to perform electrochemical detection on the sample point according to the position information to obtain the detection result, the method further includes: Determine the detection current value corresponding to each of the sample points according to the detection result; Performing differential calculation on the average value of the detected current value and the average value of the background current to obtain first data; Performing data filtering and noise removal operations on the first data to obtain second data; Calculating the average of all the second data to obtain an oxidation peak current and a reduction peak current; Subtracting the oxidation peak current from the reduction peak current to obtain a cyclic voltammetry curve subtraction result; Performing a straight line fitting on the first data, and performing integral calculation on the fitting result to obtain an electric quantity integral result; Generate experimental results including sample point number, sample point coordinates, cyclic voltammetry curve difference results and charge integration results; The experimental results are input into a machine learning model so as to utilize the machine learning model for data prediction and parameter optimization.

12. An electronic device, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and when the processor calls the computer program in the memory, it implements the steps of the control method of the high-throughput screening device as claimed in any one of claims 8 to 11.

13. A storage medium, characterized in that: The storage medium stores computer executable instructions, and when the computer executable instructions are loaded and executed by the processor, the steps of the control method of the high-throughput screening device according to any one of claims 8 to 11 are implemented.

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