A full-automatic electrochemiluminescence analysis system based on a local area network and a detection method

Abstract

This invention discloses a fully automated electrochemiluminescence (ECL) analysis system based on a local area network (LAN), relating to ECL detection technology. The system includes: an ECL instrument, used to receive control commands from a mobile terminal to start or stop the ECL detection process, and upon receiving a start command, to acquire and output signal data under voltage excitation conditions; a mobile terminal, which establishes a communication connection with the ECL instrument in a LAN or offline LAN environment, used to receive signal data, generate a local analysis file that can be saved on the mobile terminal based on the signal data, and perform a two-stage analysis method on the generated local analysis file, outputting the brightest frame target image and its corresponding ECL intensity value; and triggering a safety stop command to the ECL instrument when the mobile terminal malfunctions. This invention also discloses a detection method. This invention balances mobile terminal analysis efficiency and safety stop capability, greatly improving the analysis efficiency of the mobile terminal.

Description

Technical Field

[0001] This invention relates to electrochemiluminescence detection technology, and more specifically, to a fully automated electrochemiluminescence analysis system and detection method based on a local area network. Background Technology

[0002] Electrochemiluminescence (ECL) analysis technology has been widely used in fields such as biological detection and medical diagnostics due to its advantages such as high sensitivity, low background signal, and ease of control. An ECL analysis system typically includes core components such as voltage excitation and control, signal acquisition and processing, and human-computer interaction to complete the entire detection process from electrical triggering and signal acquisition to result output.

[0003] In existing ECL technologies, some analysis systems utilize web and cloud computing resources to perform data analysis. In these systems, data is collected on the terminal side, uploaded to a cloud server for analysis, and then the cloud server sends the analysis results back to the terminal for display. While these systems can leverage cloud computing power in environments with stable public network connections, they often fail to complete the detection process in environments without external network access, with weak networks, or with restricted networks, due to unreachable or unstable public networks, impacting system availability and data security. Furthermore, when processing large signal data (including video and images), using a frame-by-frame full-sampling analysis method increases analysis time and energy consumption, thus affecting mobile user experience and process stability.

[0004] Furthermore, in existing ECL technology, the common analysis process includes signal acquisition, voltage excitation, signal storage, and signal analysis. If the entire process lacks a unified automatic process control and anomaly handling mechanism, it is prone to inconsistencies due to network fluctuations, interruptions in signal stream acquisition, signal storage failures, or analysis failures, thereby affecting the reliability and traceability of the detection results. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to address the shortcomings of the prior art by providing a fully automated electrochemiluminescence analysis system and detection method based on a local area network, which takes into account both the analysis efficiency of mobile devices and the ability to safely stop the process.

[0006] This invention discloses a fully automated electrochemiluminescence analysis system based on a local area network, comprising:

[0007] The ECL instrument is used to receive control commands from the mobile terminal to start or stop the ECL detection process, and to acquire and output signal data under voltage excitation conditions when the start command is received. The mobile terminal establishes a communication connection with the ECL instrument in a local area network or offline local area network environment, receives the signal data, generates a local analysis file that can be saved on the mobile terminal based on the signal data, and performs a two-stage analysis method on the local analysis file after it is generated to output the brightest frame target image and its corresponding ECL intensity value; and when the mobile terminal malfunctions, it triggers a safety stop command to the ECL instrument.

[0008] Preferably, the local area network is a WIFI network or a hotspot network provided by an external device; the offline local area network is a local area network that does not rely on the public network.

[0009] Preferably, the mobile terminal is a smartphone or a tablet computer.

[0010] Preferably, the control commands include control requests for establishing a communication connection, starting voltage excitation detection, stopping voltage excitation detection, setting camera acquisition parameters, and voltage excitation detection parameters.

[0011] Preferably, the signal data is an MJPEG video stream or an image stream.

[0012] A detection method based on the aforementioned fully automated electrochemiluminescence analysis system using a local area network includes: S101: The mobile terminal sends a start command to the ECL instrument and receives the signal data output by the ECL instrument; S102: After collecting data for a set time period, the mobile terminal sends a start voltage excitation command to the ECL instrument again, so that the ECL instrument applies voltage excitation to the sample to be tested and triggers the ECL reaction. S103: After the preset voltage excitation duration is reached, the mobile terminal sends a stop voltage excitation command to the ECL instrument, stops collecting the signal data, and generates a local analysis file from the signal data collected during the preset voltage excitation duration. S104: After the local analysis file is generated, the mobile terminal uses a two-stage analysis method to analyze the local analysis file to obtain the brightest frame target image and its corresponding ECL intensity value. S105: After the analysis is completed, the local analysis file, the parameters contained in each control command, and the analysis results are associated, stored, and displayed.

[0013] Preferably, the two-stage analysis method specifically includes: The first step is to perform decoding processing on the local analysis file to obtain image data based on the decoding; the analysis area is set through the mobile terminal, and the analysis area is mapped from the interface display coordinate system to the decoding plane coordinate system; The second step is to sample and statistically analyze the image data corresponding to the analysis area after coordinate system transformation in the decoded image data according to a preset step size to obtain the estimated value of ECL intensity, and to maintain the target timestamp as the timestamp corresponding to the decoded image data with the largest estimated value in real time. The third step is to execute the second step until the last frame of decoded image data is processed, and then use the decoded image data corresponding to the final target timestamp as the brightest frame target image. Step 4: Perform full sampling statistics on the image data of the analysis region in the brightest frame target image after coordinate system transformation to obtain the ECL intensity value of the brightest frame target image.

[0014] Preferably, the decoding process specifically includes: The video track information in the local analysis file is read by MediaExtractor, and then a MediaCodec decoder is created according to the encoding format corresponding to the selected video track information. The video track information is sequentially sent to the MediaCodec decoder for frame-by-frame decoding to extract image frame data, brightness information and corresponding timestamp information.

[0015] Preferably, image data corresponding to the analysis area is acquired, the image data is subjected to median filtering, and then the filtered image data is subjected to sampling statistical processing.

[0016] Preferably, the real-time maintenance target timestamp is the timestamp corresponding to the decoded image data with the largest estimated value, specifically: Determine whether the estimated value corresponding to the decoded image data of the current frame is greater than the recorded estimated value. If it is greater, then use the timestamp corresponding to the decoded image data of the current frame as the target timestamp; otherwise, keep the target timestamp unchanged and continue processing the image of the next brightest frame based on decoding.

[0017] Beneficial effects The advantages of this invention are: 1. The mobile terminal and ECL instrument of the present invention can establish a communication connection in both local area network and offline local area network environments, and can complete the entire detection process without relying on the public network. At the same time, it greatly reduces the deviation caused by manual intervention. Furthermore, when the mobile terminal malfunctions, it will trigger a safety stop command to the ECL instrument, thereby safely stopping the process. This improves the success rate of signal acquisition and detection availability of the system under unstable network conditions, and balances the analysis efficiency of the mobile terminal with the ability to stop safely.

[0018] 2. The present invention achieves two-stage analysis of image data through a fast sampling and full sampling mechanism based on frame-by-frame ROI brightness statistics, which greatly improves the analysis efficiency of mobile devices.

[0019] 3. This invention analyzes local analysis files generated based on signal data, eliminating the problem of incomplete analysis data and improving the stability of the analysis process.

[0020] 4. The system design of this invention includes an associated storage and display module, which enables traceable management of the detection process and results. Attached Figure Description

[0021] Figure 1 This is a schematic diagram of the system architecture of the present invention.

[0022] Figure 2 This is a schematic diagram of the detection method of the present invention.

[0023] Figure 3 This is a schematic diagram of the two-stage analysis method of the present invention.

[0024] Figure 4 This is a schematic diagram comparing the detection method of the present invention with other analysis algorithms.

[0025] Figure 5 To implement the system based on this invention on a closed bipolar ECL chip, Ru(bpy)3 2+ ECL intensity curves at concentrations of 0.1mM, 0.5mM, 1mM, 2.5mM, 5mM, and 10mM.

[0026] Figure 6 The graph shows the ECL intensity values ​​of the system based on the present invention on a closed bipolar ECL chip with H2O2 concentrations of 0.1mM, 0.5mM, 1mM, 2.5mM, 5mM, and 10mM.

[0027] Figure 7 This is a graph showing the relationship between the logarithmic value of cardiac troponin I (cTnI) concentration and the logarithmic value of T / C during immunoassay on a closed bipolar ECL chip based on the system of this invention. Detailed Implementation

[0028] The present invention will be further described below with reference to embodiments, but this does not constitute any limitation on the present invention. Any limited modifications made by any person within the scope of the claims of the present invention are still within the scope of the claims of the present invention.

[0029] See Figure 1This invention discloses a fully automated electrochemiluminescence analysis system based on a local area network (LAN), comprising an ECL instrument 1-1 and a mobile terminal 1-2. The mobile terminal 1-2 establishes a communication connection with the ECL instrument 1-1 in a LAN or offline LAN environment. The mobile terminal 1-2 is used to complete the entire ECL detection process, specifically receiving signal data, generating a local analysis file that can be saved on the mobile terminal 1-2 based on the signal data, performing a two-stage analysis method on the generated local analysis file, and outputting the brightest frame target image and its corresponding ECL intensity value. The ECL instrument 1-1 receives control commands from the mobile terminal 1-2 to start or stop the ECL detection process, and upon receiving a start command, acquires and outputs signal data under voltage excitation conditions.

[0030] Specifically, the ECL instrument 1-1 includes a camera acquisition unit 1-1-1, a signal communication unit 1-1-2, and a voltage excitation unit 1-1-3. The signal communication unit 1-1-2 is used to establish a communication connection with the mobile terminal 1-2 in a local area network or offline local area network environment; the voltage excitation unit 1-1-3 is used to start or stop the ECL detection process of the sample under test according to control commands; the camera acquisition unit 1-1-1 is used to acquire the signal data of the sample under test under voltage excitation conditions when the voltage excitation unit 1-1-3 is started, and send the signal data to the signal communication unit 1-1-2.

[0031] In this embodiment, the local area network environment can be a WIFI network or a hotspot network provided by an external device; while the offline local area network environment can be a local area network environment that does not rely on the public network.

[0032] The mobile terminal 1-2 can be a smartphone, used as an application to control the ECL instrument 1-1 and perform signal analysis, preferably an Android application. Specifically, the mobile terminal 1-2 includes a control command issuing module 1-2-1, a signal access module 1-2-2, a signal acquisition module 1-2-3, an offline analysis module 1-2-4, and an associated storage and display module 1-2-5.

[0033] Regarding the control command issuing module 1-2-1, it can issue control commands to the ECL instrument 1-1 to trigger the detection process; the control commands include control requests for establishing communication connections, start voltage excitation commands, stop voltage excitation commands, set camera acquisition, and voltage excitation parameter commands.

[0034] Furthermore, to improve control reliability, the control command issuing module 1-2-1 supports timeout retry and response confirmation; after sending the control command, the mobile terminal 1-2 waits for the ECL instrument 1-1 to receive and return confirmation information or status change; otherwise, it will enter the safety stop procedure if no confirmation is received.

[0035] Furthermore, before the camera acquisition and voltage excitation parameter commands are issued, the control command issuance module 1-2-1 will perform a validity check. The check content includes at least the value range of the camera acquisition parameters and voltage excitation parameters. When the check fails, the mobile terminal 1-2 will prevent the issuance of control commands and indicate the reason.

[0036] Regarding signal access module 1-2-2, it is used to receive signal data output from ECL instrument 1-1. The signal data is an MJPEG video stream output from ECL instrument 1-1, which is received by mobile terminal 1-2 via a network protocol, specifically HTTP.

[0037] Furthermore, to improve the stability of signal access, the signal access module 1-2-2 performs detection and timeout retry on the video stream emitted by the ECL instrument 1-1 before starting the detection. For example, it attempts to establish a communication connection and read the first frame image within a preset duration of 600ms. If the communication connection or image reading times out, it retryes. Furthermore, if the signal access module 1-2-2 still fails to detect the video stream, the mobile terminal 1-2 restarts the camera acquisition unit 1-1-1 and detects again after a delay. If the first frame image is not acquired within the preset duration, the video stream access is determined to have failed, and the user is prompted to retry. Regarding the signal acquisition module 1-2-3, it is used to convert the signal data output by the ECL instrument 1-1 into local analysis files that can be saved on the mobile terminal 1-2. These local analysis files include MP4 files, etc.

[0038] In this embodiment, the offline analysis module 1-2-4 is mainly used to perform two-stage analysis on the local analysis file to obtain the brightest frame target image and its corresponding ECL intensity value.

[0039] Furthermore, the two-stage analysis method first performs fast sampling statistics (i.e., extracting 1 out of every 8 pixels in the analysis area for calculation) according to a preset step size (e.g., 8 steps) to obtain the estimated value of the ECL intensity value, and maintains the timestamp of the largest estimated value of the ECL intensity value in real time to obtain the brightest frame image. Then, it performs full sampling statistics on the analysis area in the brightest frame image (i.e., traversing all pixels in the analysis area for calculation) to calculate the ECL intensity value.

[0040] Regarding the associated storage and display module 1-2-5, it is used to store and display the local analysis files, camera data, voltage excitation parameters, and analysis results in a one-to-one correspondence. The local analysis files include signal data acquired by the signal acquisition module.

[0041] Furthermore, the associated storage and display module 1-2-5 writes the detection record when saving the analysis results, generates a detection record identifier (such as VideoID or Detection Record ID), and associates and stores the path of the local analysis file, thumbnail, recording duration, analysis date, camera acquisition and voltage excitation parameters, the path of the brightest frame image of the analysis area and its ECL value.

[0042] When mobile terminal 1-2 malfunctions, a safety stop command is triggered to ECL instrument 1-1. Specifically, a safety stop procedure is triggered when the control command sending module 1-2-1, signal access module 1-2-2, signal acquisition module 1-2-3, or offline analysis module 1-2-4 malfunctions. This safety stop procedure includes at least sending a stop voltage excitation command to ECL instrument 1-1 to stop signal acquisition.

[0043] See Figure 2 A detection method based on the above-mentioned fully automated electrochemiluminescence analysis system using a local area network includes the following steps: S101: When the user clicks the "Start Analysis" button, the mobile terminal 1-2 sends a start command to the ECL instrument 1-1 and receives the signal data output by the ECL instrument 1-1 through the signal access module 1-2-2.

[0044] S102: After receiving the video stream data, the signal acquisition module 1-2-3 starts and converts the signal data output by the ECL instrument 1-1 into data that can be saved on the mobile terminal 1-2. After 2 seconds of acquisition, the control command sending module 1-2-1 sends a start voltage excitation command to the ECL instrument 1-1. The ECL instrument 1-1 then selects the sample to be tested (including Ru(bpy)3). 2+ A voltage excitation is applied using a solution of TPA, luminol / hydrogen peroxide (H2O2), etc., to trigger the ECL reaction.

[0045] In this embodiment, the voltage excitation command is based on pre-established parameter sets for different solution reaction systems. These parameter sets include at least the excitation voltage, excitation duration, and camera acquisition parameters. Before detection, the mobile terminal automatically calls the corresponding parameter set as the adaptive excitation parameters for the current detection, based on the reaction system, enabling the system to switch to matching detection parameters for different detection systems.

[0046] S103: After the preset time (e.g., 5-60s) is reached, the control command sending module 1-2-1 of the mobile terminal 1-2 sends a stop voltage excitation command to the ECL instrument 1-1, and the signal acquisition module 1-2-3 stops signal acquisition and generates a local analysis file.

[0047] S104: After detecting the generation of the local analysis file, the offline analysis module 1-2-4 of the mobile terminal 1-2 performs a two-stage analysis on the local analysis file to obtain the brightest frame target image and its corresponding ECL intensity value.

[0048] S105: After the analysis is completed, the association storage and display module 1-2-5 of the mobile terminal 1-2 associates, stores, and displays the local analysis file, camera data, voltage excitation parameters, and analysis results. The fully automatic ECL analysis ends.

[0049] like Figure 3 As shown, in this embodiment, the specific steps of the two-stage analysis method are as follows: S201: Create a thread pool and initialize the recorded estimates and target timestamps.

[0050] S202: Perform decoding processing on the local analysis file to obtain image data based on the decoding (including image resolution, brightness values, etc.). The analysis region (ROI) is set via the mobile terminal, mapping the ROI from the interface display coordinate system to the decoding plane coordinate system, taking into account at least region cropping and boundary constraints during mapping.

[0051] Regarding the decoding process, it refers to reading the video track information from the local analysis file through MediaExtractor, creating a MediaCodec decoder according to the encoding format corresponding to the selected video track information, and sequentially sending the video track information into the MediaCodec decoder for frame-by-frame decoding to extract image frame data, brightness information, and corresponding timestamp information.

[0052] S203: In the decoding process, the YUV plane data of each frame of decoded image data is obtained. The luminance (Y) plane is extracted from the YUV plane data, and the image data in the ROI is fast-sampled and statistically analyzed at a preset step size to obtain an estimated value of the ECL intensity. The target timestamp is maintained in real time as the timestamp corresponding to the decoded image data with the largest estimated value. In particular, the luminance component Y plane is directly used to perform frame-by-frame luminance statistics on the ROI region, thereby reducing the additional color space conversion overhead and improving the luminance estimation efficiency.

[0053] During real-time maintenance, the process involves determining whether the estimated value corresponding to the decoded image data of the current frame is greater than the recorded estimated value. If it is greater, the timestamp corresponding to the decoded image data of the current frame is used as the target timestamp. If not, the target timestamp is kept unchanged and the next image of the brightest frame based on decoding is processed.

[0054] Regarding the preset step size, with a default analysis area of ​​500×500 pixels, the system can adopt a fast sampling strategy of sampling every 8 pixels to balance sampling speed and brightness estimation accuracy on mobile terminals. However, it is not limited to a fixed value and can be designed according to the size of the analysis area: when the size of the analysis area changes, the preset step size can be adjusted accordingly to keep the number of sampling points within an appropriate range, thus balancing analysis efficiency and accuracy. Furthermore, when the ROI area increases, the step size increases accordingly to control the total number of sampling points and reduce the computational burden; when the ROI area decreases, the step size decreases accordingly to maintain sufficient analysis accuracy.

[0055] S204: Repeat S203 until the last frame of decoded image data is processed, and use the decoded image data corresponding to the final target timestamp as the brightest frame target image. Perform full sampling statistics on the image data of the analysis region in the brightest frame target image after coordinate system transformation to obtain the ECL intensity value of the brightest frame target image.

[0056] Furthermore, to ensure the accuracy of ECL intensity values, the analysis system incorporates denoising processing during the sampling process. Specifically, before performing sampling statistics, median filtering is applied to the image data within the ROI to suppress noise-induced interference, reduce the impact of noise on the results, and thus obtain more stable analysis results.

[0057] S205: Save the local analysis file, the brightest frame target image and its corresponding ECL intensity value, along with the camera acquisition and voltage excitation parameters, in the mobile terminal 1-2.

[0058] S206: Close the thread pool and release task resources.

[0059] To verify the analytical efficiency of the two-stage analysis method of the present invention, based on the above-described fully automated electrochemiluminescence analysis system and detection method, the present invention sets up the following comparative scheme: (1) The proportional scheme uses frame-by-frame decoding and full sampling statistics within the ROI to obtain the ECL intensity value of each frame image, and after traversing all frames, the image of the brightest frame and its corresponding ECL intensity value are determined. (2) The present invention adopts a two-stage analysis method based on the above system. First, fast sampling statistics are performed to obtain the estimated value of ECL intensity and its timestamp. Then, full sampling statistics are performed within the ROI to obtain the ECL intensity value, thereby outputting the brightest frame target image and its corresponding ECL intensity value.

[0060] Local video files with recording durations of 10s, 20s, 30s, and 40s were selected for offline analysis. The analysis time for the two methods was calculated, and the results are as follows: Figure 4 As shown.

[0061] As shown in the figure, the analysis times for the comparative scheme on 10s, 20s, 30s, and 40s videos are 4s, 6s, 9s, and 13s, respectively; while the analysis times for the scheme of this invention are 2s, 2s, 3s, and 5s, respectively. Clearly, compared to the traditional frame-by-frame decoding and full-sampling statistical scheme, this invention significantly reduces offline analysis time through fast sampling estimation combined with full-sampling determination of the brightest frame image, and maintains a low analysis time even as the video recording duration increases. Therefore, the two-stage analysis method of this invention is more suitable for completing rapid offline analysis of local videos and determining the brightest frame image on mobile terminals, making it well-suited for rapid detection applications.

[0062] Application Example 1 This application example uses the system of the present invention, based on Ru(bpy)3. 2+ / TPA system for quantitative detection of Ru(bpy)3 on a closed bipolar ECL chip. 2+ .

[0063] (1) First, prepare a 25 mM TPA solution using phosphate-buffered saline (PBS, 0.1 mM, pH 7.2–7.4), and then prepare 0.1 mM, 0.5 mM, 1 mM, 2.5 mM, and 5 mM Ru(bpy)3 solutions using purified water. 2+ The solution was prepared as Ru(bpy)3. 2+ The solution was mixed with an equal volume of 25 mMMTPA solution to obtain the sample solution to be tested.

[0064] (2) Place the closed bipolar ECL chip into the ECL instrument.

[0065] (3) Open the signal access module interface in the smartphone and set the camera parameters (brightness 120, contrast 96, saturation 180, white balance 4650, sharpness 120, exposure time 2500).

[0066] (4) The detection process is similar to the detection method described above, with the voltage excitation parameter set to 13V. The analysis results are as follows: Figure 5 As shown.

[0067] from Figure 5 It can be seen that, using the fully automated ECL analysis system of this invention, with Ru(bpy)3 2+ As the logarithm of the concentration increases, the ECL intensity value increases linearly, exhibiting a good linear relationship. The linear fitting equation is Y = 13.983X + 18.975, and the correlation coefficient R0 is [value missing]. 2 The value is 0.9907 (n=6). Therefore, the fully automated ECL analysis system of this invention can be applied to Ru(bpy)3. 2+ Quantitative detection of the / TPA system.

[0068] Application Example 2 This application example also uses the system of the present invention, based on the luminol / hydrogen peroxide (H2O2) detection system, to quantitatively detect H2O2 on a closed bipolar ECL chip.

[0069] (1) First, prepare a 2.5 mM luminol solution using carbonate buffer (CBS, 0.1 M, pH 9.68), then prepare 0.1 mM, 0.5 mM, 1 mM, 2.5 mM, 5 mM and 10 mM H2O2 solutions using CBS, and mix the prepared H2O2 solutions with the 2.5 mM luminol solution in equal volumes to obtain the sample solution to be tested.

[0070] (2) Place the closed bipolar ECL chip into the ECL instrument.

[0071] (3) Open the signal access module interface of the smartphone and set the camera parameters (brightness 120, contrast 98, saturation 180, white balance 2600, sharpness 120, exposure time 2500).

[0072] (4) The detection process is similar to the detection method described above, with the voltage excitation parameter set to 16V. The analysis results are as follows: Figure 6 As shown.

[0073] from Figure 6 As can be seen, using the fully automated ECL analysis system of this invention, the ECL intensity value increases linearly with the increase of the logarithm of the H2O2 concentration, exhibiting a good linear relationship. The linear fitting equation is Y=1.87X+2.06, and the correlation coefficient R0 is [missing value]. 2 The value is 0.9903 (n=6). Therefore, the fully automated ECL analysis system of the present invention can be applied to the quantitative detection of luminol / H2O2 detection systems.

[0074] Application Example 3 This example uses the system of the present invention to perform immunoassay on cardiac troponin I (cTnI) using a dry closed bipolar ECL chip as described in application number CN202410829788.0.

[0075] (1) Use the existing dry closed bipolar ECL chip.

[0076] (2) Place the prepared dry closed bipolar ECL chip into the ECL instrument.

[0077] (3) Open the signal access module interface in the smartphone and set the camera parameters (brightness 116, contrast 115, saturation 106, white balance 4650, sharpness 120, exposure time 2500).

[0078] (4) The detection process is similar to the detection method described above, with the voltage excitation parameter set to 9V. The analysis results are as follows: Figure 7 As shown.

[0079] from Figure 7 As can be seen, using the fully automated ECL analysis system of this invention, with the increase of the logarithm of the cTnI concentration, the logarithm of the ratio of the ECL intensity value corresponding to the T line to the ECL intensity value corresponding to the C line on the ECL chip (Lg(T / C)) increases accordingly, showing a good linear relationship. The linear fitting equation is Y=0.224X-0.059, and the correlation coefficient R0 is... 2 The value is 0.998 (n=5). Therefore, the fully automated ECL analysis system of the present invention can be applied to the quantitative detection of targets.

[0080] The above description is only a preferred embodiment of the present invention. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention, and these will not affect the effectiveness of the implementation of the present invention or the practicality of the patent.

Claims

1. A fully automated electrochemiluminescence analysis system based on a local area network, characterized in that, include: The ECL instrument is used to receive control commands from the mobile terminal to start or stop the ECL detection process, and to acquire and output signal data under voltage excitation conditions when the start command is received. The mobile terminal establishes a communication connection with the ECL instrument in a local area network or offline local area network environment, receives the signal data, generates a local analysis file that can be saved on the mobile terminal based on the signal data, and performs a two-stage analysis method on the local analysis file after it is generated to output the brightest frame target image and its corresponding ECL intensity value; and when the mobile terminal malfunctions, it triggers a safety stop command to the ECL instrument.

2. The fully automated electrochemiluminescence analysis system based on a local area network according to claim 1, characterized in that, The local area network is a WIFI network or a hotspot network provided by an external device; the offline local area network is a local area network that does not rely on the public network.

3. The fully automated electrochemiluminescence analysis system based on a local area network according to claim 1, characterized in that, The mobile terminal is a smartphone or tablet computer.

4. The fully automated electrochemiluminescence analysis system based on a local area network according to claim 3, characterized in that, The control commands include control requests for establishing a communication connection, starting voltage excitation detection, stopping voltage excitation detection, setting camera acquisition parameters, and voltage excitation detection parameters.

5. The fully automated electrochemiluminescence analysis system based on a local area network according to claim 3, characterized in that, The signal data is an MJPEG video stream or image stream.

6. A detection method based on a fully automated electrochemiluminescence analysis system based on a local area network as described in any one of claims 1-5, characterized in that, include: S101: The mobile terminal sends a start command to the ECL instrument and receives the signal data output by the ECL instrument; S102: After collecting data for a set time period, the mobile terminal sends a start voltage excitation command to the ECL instrument again, so that the ECL instrument applies voltage excitation to the sample to be tested and triggers the ECL reaction. S103: After the preset voltage excitation duration is reached, the mobile terminal sends a stop voltage excitation command to the ECL instrument, stops collecting the signal data, and generates a local analysis file from the signal data collected during the preset voltage excitation duration. S104: After the local analysis file is generated, the mobile terminal uses a two-stage analysis method to analyze the local analysis file to obtain the brightest frame target image and its corresponding ECL intensity value. S105: After the analysis is completed, the local analysis file, the parameters contained in each control command, and the analysis results are associated, stored, and displayed.

7. A detection method according to claim 6, characterized in that, The two-stage analysis method specifically includes: The first step is to perform decoding processing on the local analysis file to obtain image data based on the decoding; the analysis area is set through the mobile terminal, and the analysis area is mapped from the interface display coordinate system to the decoding plane coordinate system; The second step is to sample and statistically analyze the image data corresponding to the analysis area after coordinate system transformation in the decoded image data according to a preset step size to obtain the estimated value of ECL intensity, and to maintain the target timestamp as the timestamp corresponding to the decoded image data with the largest estimated value in real time. The third step is to execute the second step until the last frame of decoded image data is processed, and then use the decoded image data corresponding to the final target timestamp as the brightest frame target image. The fourth step is to perform full sampling statistics on the image data of the analysis region in the brightest frame target image after the coordinate system transformation, so as to obtain the ECL intensity value of the brightest frame target image.

8. A detection method according to claim 7, characterized in that, The decoding process specifically includes: The video track information in the local analysis file is read by MediaExtractor, and then a MediaCodec decoder is created according to the encoding format corresponding to the selected video track information. The video track information is sequentially sent to the MediaCodec decoder for frame-by-frame decoding to extract image frame data, brightness information and corresponding timestamp information.

9. A detection method according to claim 7, characterized in that, Image data corresponding to the analysis area is acquired, and the image data is subjected to median filtering. Then, the filtered image data is subjected to sampling and statistical processing.

10. A detection method according to claim 7, characterized in that, The real-time maintenance target timestamp is the timestamp corresponding to the decoded image data with the largest estimated value, specifically: Determine whether the estimated value corresponding to the decoded image data of the current frame is greater than the recorded estimated value. If it is greater, then use the timestamp corresponding to the decoded image data of the current frame as the target timestamp. If not, keep the target timestamp unchanged and continue processing the next image based on the brightest frame from the decoded image.

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