Array type cholinesterase activity digital recognition device and recognition method thereof
Through the array cholinesterase activity digital recognition device, the array detection substrate points and reference standard color points are used to realize rapid image acquisition and colorimetric analysis of blood samples, and solve the on-site detection of organophosphorus poisoning in the prior art Slow speed and inaccuracy issues improve diagnostic accuracy and on-site processing efficiency.
Patent Information
- Application Number
- CN202411325064.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-23
- Publication Date
- 2025-01-10
AI Technical Summary
The prior art has problems such as long cycle, time-consuming and low automation in rapid detection and screening of organophosphorus poisoning, and it is difficult to quickly and accurately judge the degree of human poisoning.
An array cholinesterase activity digital recognition device is designed, including a box, a touch screen, a camera, a main control board and a detection card. The substrate point and reference standard color point are detected by array cholinesterase activity to realize blood Fast image acquisition and colorimetric analysis of the samples, giving R-value data of the cholinesterase activity status in real time, for rapid diagnosis.
It realizes rapid, high-throughput and accurate cholinesterase activity detection, improves diagnostic accuracy and on-site treatment decision-making basis, and simplifies the screening and treatment process at the poisoning site.
Smart Images

Figure CN119290857A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of blood sample activity detection, and in particular relates to an array-type cholinesterase activity digital identification device and an identification method thereof. Background Art
[0002] After organophosphorus pesticides and poisons enter the human body, the main mechanism of causing harm is that they can attack the active site of cholinesterase, resulting in the inhibition of cholinesterase activity. When the enzyme activity is inhibited, it will cause the accumulation of acetylcholine in the body, affecting the transmission of neurotransmitters, and causing a series of symptoms such as tremors, tears, bradycardia, etc. If not treated in time, it will lead to death. Rapid and accurate detection results are the key to carrying out medical rescue operations. Therefore, conducting rapid on-site detection and screening after organophosphorus threats, and timely, rapid and accurate judgment of the degree of human poisoning is one of the key technologies in handling sudden poisoning incidents.
[0003] Suspected poisoning patients should undergo blood cholinesterase activity measurement according to their condition. This can be used as a clinical indicator to determine the severity and prognosis of the disease, and is an important means to assist in the diagnosis of organophosphorus poisoning and the assessment of liver parenchymal cell damage.
[0004] Cholinesterase, including acetylcholinesterase (Acetylcholinesterase, AChE) and butyrylcholinesterase (Butyrylcholinesterase, BuChE). Acetylcholinesterase is mainly present in neuromuscular junctions and cholinergic nervous systems, where the activity of the enzyme is to terminate synaptic transmission. Acetylcholinesterase has extremely high hydrolytic activity and can degrade the neurotransmitter acetylcholine into choline and acetic acid.
[0005] At present, research work in my country on rapid identification of biomarkers of organophosphorus agents and traceability detection of poisoned biological samples is still relatively weak, and most of them have shortcomings such as long cycle, time-consuming and labor-intensive, and low degree of automation. Summary of the invention
[0006] The problem to be solved by the present invention is to provide an intelligent diagnostic device for high-throughput screening of cholinesterase activity, and to propose an array-type cholinesterase activity digital identification device and an identification method thereof.
[0007] To achieve the above object, the present invention is implemented through the following technical solutions:
[0008] An array-type cholinesterase activity digital identification device comprises a box, a touch screen is installed on the top of the box, a partition is arranged on the upper part of the box, a camera and an illumination light source are arranged on the partition, a main control board and a heating platform are installed on the bottom plate of the box, a sample platform is installed on the heating platform, and a detection card is placed on the sample platform;
[0009] The detection card is placed on the sample table through the detection port on the right side of the box body and is placed directly below the camera. A cover plate is installed on the detection port. The touch screen, camera and main control board are electrically connected.
[0010] Furthermore, the detection card is an array-type cholinesterase activity detection probe card, on which are arranged dot-array cholinesterase activity detection substrate spots and reference standard color spots based on different cholinesterase activity inhibition degrees.
[0011] Furthermore, the size of the test card does not exceed 100mm*100mm, and the dot matrix cholinesterase activity detection substrate spots on the test card are one of 8×8, 9×9, and 10×10 arrays, which is used to detect no less than 50 blood samples at a time.
[0012] Furthermore, the reference standard color points based on different degrees of cholinesterase activity inhibition on the test card include four standard colors, namely, the standard color of normal cholinesterase activity samples with R values of 0 to 30, the standard color of mildly inhibited cholinesterase activity samples with R values of 30 to 50, the standard color of moderately inhibited cholinesterase activity samples with R values of 50 to 70, and the standard color of severely inhibited cholinesterase activity samples with R values ≥ 70.
[0013] Furthermore, the main control board is provided with a power interface and a fan; the power interface is electrically connected to a light source switch, the light source switch is installed on the front side of the box, and the light source switch is electrically connected to the lighting source.
[0014] Furthermore, a lead-in port is also provided on the partition.
[0015] Furthermore, a heating pad is placed on the sample table, and a detection card is placed on the heating pad.
[0016] A recognition method of an array-type cholinesterase activity digital recognition device is implemented based on the array-type cholinesterase activity digital recognition device, and comprises the following steps:
[0017] S1. Drop the blood samples one by one on the dot matrix cholinesterase activity detection substrate point of the test card, place the test card on the sample table, start the array cholinesterase activity digital identification device, perform array cholinesterase activity test at 30-40°C, the reaction process is no more than 20 minutes, and the camera collects images of the plasma cholinesterase activity reaction process to obtain a dot matrix cholinesterase activity recognition site image;
[0018] S2. Perform colorimetric analysis on the dot matrix cholinesterase activity recognition site image obtained in step S1 point by point, extract RGB colorimetric value data of cholinesterase activity state point by point, and then give R value activity data of cholinesterase activity recognition substrate point point by point for statistical output.
[0019] Furthermore, the number of pixels of a single point in the dot matrix cholinesterase activity recognition site image obtained in step S1 does not exceed 5000 pixels.
[0020] Furthermore, the specific implementation method of step S2 includes the following steps:
[0021] S2.1. Convert the single cholinesterase active substrate site image in the dot matrix cholinesterase active recognition site image obtained in step S1 into RGB format, initialize the average RGB value, and calculate the total number of pixels;
[0022] S2.2. Extract the R value in the RGB chromaticity value of the target circle area image of a single cholinesterase activity substrate site image, and use the interpolation function algorithm to complete the RGB value of the target circle area of each cholinesterase activity recognition substrate site image. The interpolation function algorithm formula is as follows:
[0023] Set the coordinate point on the x-axis to x i , the coordinate point on the y-axis is y i , there are n coordinate points in total, construct the polynomial f n (x i ) is:
[0024] f n (x i )=y i i=0,1,...,n
[0025] Construct the interpolation function L i (x), the expression is:
[0026]
[0027] Set the interpolation function L i (x) Satisfaction
[0028] make is the interpolation function required;
[0029] Among them, L I (x) is the interpolation basis function, For the difference business;
[0030] S2.3. By traversing the pixel values of the cholinesterase activity identification substrate point image in each row and column, the RGB value of the current substrate point image pixel is obtained, and the average RGB value of each point in the image is obtained by cumulative calculation.
[0031] Beneficial effects of the present invention:
[0032] The array-type digital identification device for cholinesterase activity described in the present invention has established a set of intelligent diagnostic devices for rapid, high-throughput screening of cholinesterase activity in blood samples based on an embedded platform, which is sensitive, accurate, and specific. The device contains a designed cholinesterase activity determination probe card, on which a recognition substrate for cholinesterase activity inhibition is fixed. The substrate reacts with AChE in the blood sample, and the degree of inhibition of AChE is different, and the amount of enzyme hydrolysis of the substrate is different, causing the color of the original substrate to become lighter or unchanged. The edge of the probe card is fixedly printed with a standard cholinesterase activity inhibition degree established through experiments. The dose-effect relationship color card gradient forms four standard color benchmarks with different inhibition degrees.
[0033] The array-type digital identification device for cholinesterase activity described in the present invention is based on the on-site rapid detection technology of portable intelligent devices. The captured cholinesterase activity determination probe card image can intelligently realize image recognition and analysis of specific areas, and give quantitative results in real time, thereby realizing high-throughput cholinesterase activity detection function. The device can perform dose-effect evaluation, high-throughput and batch sample screening, and achieve qualitative diagnosis and quantitative analysis through a large number of experiments. It can also automatically extract and improve judgment accuracy through machine learning, thereby improving diagnostic accuracy.
[0034] The array-type cholinesterase activity digital identification device described in the present invention has an important reference for determining the cause of the event and the patient treatment plan; it can effectively realize the basis for determining the rapid treatment plan at the poisoning scene, improve the screening accuracy and speed, and is also a reliable basis for the formulation of crowd evacuation plans and environmental pollution treatment plans. At the same time, the rapid test results provide work direction for on-site sample collection and laboratory testing. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] Figure 1 This is a schematic diagram of the exploded structure of an array-type cholinesterase activity digital identification device according to the present invention;
[0036] Figure 2 This is a schematic diagram of the external structure of an array-type cholinesterase activity digital identification device according to the present invention;
[0037] Figure 3 A three-dimensional diagram of an array-type cholinesterase activity digital identification device according to the present invention;
[0038] Figure 4 This is a schematic diagram of the partition layer structure of an array-type cholinesterase activity digital identification device according to the present invention;
[0039] Figure 5This is a schematic diagram of the bottom structure of an array-type cholinesterase activity digital identification device according to the present invention;
[0040] Figure 6 Write a logic block diagram for the software of the present invention;
[0041] In the figure: 1. touch screen; 2. camera; 3. cover plate; 4. detection port; 5. light source; 6. detection card reference site; 7. detection card reagent site; 8. detection card; 9. sample table; 10. heating table; 11. fan; 12. main control board; 13. power interface; 14. light source switch; 15. lead port; 16. heating pad; 17. box body; 18. partition. DETAILED DESCRIPTION
[0042] In order to make the purpose, technical solution and advantages of the present invention more clear, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention, that is, the specific embodiments described are only part of the embodiments of the present invention, rather than all of the specific embodiments. The components of the specific embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations, and the present invention can also have other embodiments.
[0043] Therefore, the following detailed description of the specific embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents the selected specific embodiments of the present invention. Based on the specific embodiments of the present invention, all other specific embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present invention.
[0044] In order to further understand the content, features and effects of the present invention, the following specific implementation methods are given as examples, and the attached Figure 1 -Attached Figure 6 The detailed instructions are as follows:
[0045] Embodiment 1:
[0046] An array-type cholinesterase activity digital identification device comprises a box 17, a touch screen 1 is installed on the top of the box, a partition 18 is arranged on the upper part of the box 17, a camera 2 and an illumination light source 5 are arranged on the partition 18, a main control board 12 and a heating table 10 are installed on the bottom plate of the box 17, a sample table 9 is installed on the heating table 10, and a detection card 8 is placed on the sample table 9;
[0047] The detection card 8 is placed on the sample stage 9 through the detection port 4 on the right side of the box 17 and is placed directly below the camera 2. A cover plate 3 is installed on the detection port 4. The touch screen 1, camera 2 and main control board 12 are electrically connected.
[0048] Furthermore, the detection card 8 is an array-type cholinesterase activity detection probe card, and the detection card 8 is provided with array-type cholinesterase activity detection substrate spots 7 and reference standard color spots 6 based on different cholinesterase activity inhibition degrees.
[0049] Furthermore, the size of the test card 8 does not exceed 100mm*100mm, and the dot matrix cholinesterase activity detection substrate spots 7 on the test card 8 are one of 8×8, 9×9, and 10×10 arrays, which are used to detect no less than 50 blood samples at a time.
[0050] Furthermore, the reference standard color points 6 based on different degrees of cholinesterase activity inhibition on the test card 8 include four standard colors, namely, the standard color of normal cholinesterase activity samples with R values of 0 to 30, the standard color of mildly inhibited cholinesterase activity samples with R values of 30 to 50, the standard color of moderately inhibited cholinesterase activity samples with R values of 50 to 70, and the standard color of severely inhibited cholinesterase activity samples with R values ≥ 70.
[0051] Furthermore, the main control board 12 is provided with a power interface 13 and a fan 11 ; the power interface 13 is electrically connected to a light source switch 14 , the light source switch 14 is installed on the front side of the box 17 , and the light source switch 14 is electrically connected to the lighting source 5 .
[0052] Furthermore, a lead-in opening 15 is also provided on the partition 18 .
[0053] Furthermore, a heating pad 16 is placed on the sample stage 9 , and a detection card 8 is placed on the heating pad 16 .
[0054] Furthermore, the main control board 12 is an embedded development board of the main control unit, which can run multiple neural networks in parallel, thereby realizing applications such as image classification, target detection, segmentation and speech processing.
[0055] Furthermore, the detection card 8, the illumination light source 5 and the camera 2 are vertically arranged in the longitudinal direction.
[0056] Embodiment 2:
[0057] An identification method of an array-type cholinesterase activity digital identification device is implemented based on the array-type cholinesterase activity digital identification device described in Example 1, and comprises the following steps:
[0058] S1. Place the blood sample on the dot matrix cholinesterase activity detection substrate spots dripped on the test card one by one, place the test card on the sample table, start the array cholinesterase activity digital identification device, perform the array cholinesterase activity test at 30-40°C, the reaction process is no more than 20 minutes, and the camera collects images of the plasma cholinesterase activity reaction process to obtain a dot matrix cholinesterase activity recognition site image;
[0059] Further, the number of pixels of a single point in the dot matrix cholinesterase activity recognition site image obtained in step S1 does not exceed 5000 pixels;
[0060] S2. Perform colorimetric analysis on the dot matrix cholinesterase activity recognition site image obtained in step S1 point by point, extract RGB colorimetric value data of cholinesterase activity state point by point, and then give R value activity data of cholinesterase activity recognition substrate point point by point for statistical output.
[0061] Furthermore, the specific implementation method of step S2 includes the following steps:
[0062] S2.1. Convert the single cholinesterase active substrate site image in the dot matrix cholinesterase active recognition site image obtained in step S1 into RGB format, initialize the average RGB value, and calculate the total number of pixels;
[0063] S2.2. Extract the R value in the RGB chromaticity value of the target circle area image of a single cholinesterase activity substrate site image, and use the interpolation function algorithm to complete the RGB value of the target circle area of each cholinesterase activity recognition substrate site image. The interpolation function algorithm formula is as follows:
[0064] Set the coordinate point on the x-axis to x i , the coordinate point on the y-axis is y i , there are n coordinate points in total, construct the polynomial f n (x i ) is:
[0065] f n (x i )=y i i=0,1,...,n
[0066] Construct the interpolation function L i (||x), the expression is:
[0067]
[0068] Set the interpolation function L i (x) Satisfaction
[0069] make is the interpolation function required;
[0070] Among them, L I (x) is the interpolation basis function, For the difference business;
[0071] S2.3. By traversing the pixel values of the cholinesterase activity identification substrate point image in each row and column, the RGB value of the current substrate point image pixel is obtained, and the average RGB value of each point in the image is obtained by cumulative calculation.
[0072] Furthermore, the touch screen is started, and the intelligent image acquisition and analysis software is opened. The NVIDIA Jetson nano main control board processes and stores the data. The touch screen issues instructions to control the camera shooting. The captured images are stored in the main control board to complete the acquisition and analysis. The analysis results are displayed on the touch screen, which changes the traditional human eye observation method and improves the detection sensitivity through the intelligent control system.
[0073] Furthermore, the detection port can be opened by removing the cover upwards, and the detection card can be placed in the center of the sample stage to make the light from the light source evenly distributed. At the same time, the camera can capture a complete image and embed the cover downwards, thereby ensuring the stability of the detection environment and avoiding interference of external light on the collected image.
[0074] Furthermore, the leads of the heating stage are connected to the main control board to keep the temperature of the detection card on the sample stage stable at 30-40°C.
[0075] Furthermore, the main control board is based on the python language and the Thingsboard platform, and can call the camera to take pictures of the array cholinesterase activity detection probe card, set the photo storage path, call the image processing program, and pre-process the image size and acquisition area.
[0076] Further, such as Figure 6 As shown in the figure, Thingsboard, as an edge IoT software platform, communicates with the main control unit through the MQTT communication protocol, including the command issuance of the host computer and the parameter feedback of the main control unit. The main control unit realizes data collection and equipment control through control commands. After the data is collected to the main control unit, it will be analyzed by the image processing program of the main control unit, and the analysis results will be sent to the Thingsboard interface through the communication protocol;
[0077] Furthermore, the data transmission between Thingsboard platform and the host computer: when taking a sample photo, click the "Photo Identification" button on the main interface, Thingsboard transmits the instruction to the underlying program of the computer, and the underlying program mobilizes the external camera to take pictures and specifies the storage path of the taken photos. The present invention adopts the Mqtt protocol to realize the mutual transmission of data between Thingsboard and the host computer. The transmitted data mainly includes RPC commands represented by input instructions, client property commands for device updates, and telemetry data represented by result display.
[0078] Furthermore, the array-type cholinesterase activity detection probe card is custom-made, and the size of the array-type cholinesterase activity detection probe card does not exceed 100mm*100mm. The array-type cholinesterase activity detection probe card is respectively provided with dot matrix-type special detection substrate points, and the area of each substrate point does not exceed 10*10mm. 2 Considering the feasibility of operation, the substrate array is designed to be no more than 100, and each point is numbered and marked in rows and columns.
[0079] Further, image processing: based on a large number of offline experiments, blood samples contaminated with organophosphorus pesticides at different doses were prepared and reacted with cholinesterase activity detection substrates. After about 20 minutes, the device was used to take pictures, and then the developed image color extraction algorithm was used to extract the R value in the RGB value within the effective area of the picture after the reaction of the blood samples with different contaminated doses was completed, and then a series of reference standard R value colors for the dose-effect analysis of the standard color card were obtained, among which R values in the range of (0-30) are the normal sample standard colors, R values of 30-50 are the mildly inhibited sample standard colors, R values of 50-70 are the moderately inhibited sample standard colors, and R values ≥70 are the severe inhibition sample standard colors.
[0080] Further, data processing: after receiving the image of the array cholinesterase activity detection probe card (8) captured by the external camera, the underlying program will call the image processing program to process the image of the sample point to be tested on the probe card and perform colorimetric analysis on the chromaticity data. The above interpolation calculation formula is called point by point for the cholinesterase activity recognition substrate point on the probe card. After point-by-point calculation of the selected area, the R value of each point is obtained, and the cholinesterase activity status is determined according to the size of the R value.
[0081] Furthermore, this embodiment performs high-throughput data processing. Image processing can be performed on 50 to 100 sample points to be tested on the probe card at the same time: 50 to 100 sample points to be tested on the photo are processed in turn, and the processing results are saved in the specified folder in turn. According to the test data of each screening sample substrate point, these data are statistically output point by point to achieve high-throughput blood sample recognition and abnormal condition alarm functions. These data will be transmitted to the Thingsboard backend through the Mqtt protocol and displayed in statistical forms such as charts and classifications.
[0082] It should be noted that relational terms such as "first" and "second" are used only 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 "include", "comprise" 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, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.
[0083] Although the present application has been described above with reference to specific embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present application. In particular, as long as there is no structural conflict, the various features in the specific embodiments disclosed in the present application may be used in combination with each other in any manner, and the fact that these combinations are not exhaustively described in this specification is only for the sake of omitting space and saving resources. Therefore, the present application is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.
Claims
1. An array-type cholinesterase activity digital identification device, characterized in that: The invention comprises a box (17), a touch screen (1) is installed on the top of the box, a partition (18) is arranged in the upper part of the box (17), a camera (2) and an illumination light source (5) are arranged on the partition (18), a main control board (12) and a heating platform (10) are installed on the bottom plate of the box (17), a sample platform (9) is installed on the heating platform (10), and a detection card (8) is placed on the sample platform (9); The detection card (8) is placed on the sample table (9) through the detection port (4) on the right side of the box (17) and is placed directly below the camera (2). A cover plate (3) is installed on the detection port (4). The touch screen (1), the camera (2) and the main control board (12) are electrically connected.
2. The array-type cholinesterase activity digital identification device according to claim 1, characterized in that: The detection card (8) is an array-type cholinesterase activity detection probe card, and the detection card (8) is provided with array-type cholinesterase activity detection substrate spots (7) and reference standard color spots (6) based on different cholinesterase activity inhibition degrees.
3. The array-type cholinesterase activity digital identification device according to claim 2, characterized in that: The size of the test card (8) does not exceed 100 mm*100 mm, and the dot matrix cholinesterase activity detection substrate points (7) on the test card (8) are one of 8×8, 9×9, and 10×10 arrays, and are used to detect no less than 50 blood samples at a time.
4. The array-type cholinesterase activity digital identification device according to claim 3, characterized in that: The reference standard color points (6) based on different degrees of cholinesterase activity inhibition on the test card (8) include four standard colors, namely, a standard color for a sample with normal cholinesterase activity with an R value of 0 to 30, a standard color for a sample with mild cholinesterase activity inhibition with an R value of 30 to 50, a standard color for a sample with moderate cholinesterase activity inhibition with an R value of 50 to 70, and a standard color for a sample with severe cholinesterase activity inhibition with an R value ≥ 70.
5. The array-type cholinesterase activity digital identification device according to claim 4, characterized in that: The main control board (12) is provided with a power interface (13) and a fan (11); the power interface (13) is electrically connected to a light source switch (14); the light source switch (14) is installed on the front of the box (17); and the light source switch (14) is electrically connected to the lighting light source (5).
6. The array-type cholinesterase activity digital identification device according to claim 5, characterized in that: The partition plate (18) is also provided with a lead-in opening (15).
7. The array-type cholinesterase activity digital identification device according to claim 6, characterized in that: A heating pad (16) is also placed on the sample stage (9), and a detection card (8) is placed on the heating pad (16).
8. A recognition method of an array-type cholinesterase activity digital recognition device, implemented by relying on an array-type cholinesterase activity digital recognition device according to any one of claims 1 to 7, characterized in that: The steps include: S1. Drop the blood samples one by one on the dot matrix cholinesterase activity detection substrate point of the test card, place the test card on the sample table, start the array cholinesterase activity digital identification device, perform array cholinesterase activity test at 30-40°C, the reaction process is no more than 20 minutes, and the camera collects images of the plasma cholinesterase activity reaction process to obtain a dot matrix cholinesterase activity recognition site image; S2. Perform colorimetric analysis on the dot matrix cholinesterase activity recognition site image obtained in step S1 point by point, extract RGB colorimetric value data of cholinesterase activity state point by point, and then give R value activity data of cholinesterase activity recognition substrate point point by point for statistical output.
9. The identification method of the array-type cholinesterase activity digital identification device according to claim 8, characterized in that: The number of pixels of a single point in the dot matrix cholinesterase activity recognition site image obtained in step S1 does not exceed 5000 pixels.
10. The identification method of the array-type cholinesterase activity digital identification device according to claim 9, characterized in that: The specific implementation method of step S2 includes the following steps: S2.
1. Convert the single cholinesterase active substrate site image in the dot matrix cholinesterase active recognition site image obtained in step S1 into RGB format, initialize the average RGB value, and calculate the total number of pixels; S2.
2. Extract the R value in the RGB chromaticity value of the target circle area image of a single cholinesterase activity substrate site image, and use the interpolation function algorithm to complete the RGB value of the target circle area of each cholinesterase activity recognition substrate site image. The interpolation function algorithm formula is as follows: Set the coordinate point on the x-axis to x i , the coordinate point on the y-axis is y i , there are n coordinate points in total, construct the polynomial f n (x i ) is: f n (x i )=y i i=0,1,...,n Construct the interpolation function L i (x), the expression is: Set the interpolation function L i (x) Satisfaction make is the interpolation function required; Among them, L I (x) is the interpolation basis function, For the difference business; S2.
3. By traversing the pixel values of the cholinesterase activity identification substrate point image in each row and column, the RGB value of the current substrate point image pixel is obtained, and the average RGB value of each point in the image is obtained by cumulative calculation.
Citation Information
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