Data processing method and related device

Abstract

This application relates to the field of biomedical technologies, and provides a data processing method and related devices. The method includes: collecting first data and second data from a patch clamp electrophysiological system, where the first data is data generated after a configured carbon fiber electrode applies multiple scanning voltages to a cell, and the second data is data generated after a configured stimulating electrode applies an electrical stimulation to the cell and then the configured carbon fiber electrode applies multiple scanning voltages to the cell; extracting target current data from the first data, and generating a first curve based on the target current data and the second data; sampling a single scanning voltage to obtain target sampling points, and generating a corresponding second curve based on the initial current data and the sampling time of the multiple target sampling points in the sampled first data or the sampled second data, so as to be able to obtain the original current and voltage data and convert the original data into an intuitive and effective curve.

Description

Technical Field

[0001] This application relates to the field of biomedical technologies, and particularly to a data processing method and related devices. Background Art

[0002] In the current field of biomedical research, the commonly used CHI electrochemical workstation cannot synchronize the stimulating electrode with the carbon fiber electrode, resulting in the inability to achieve three-dimensional recording of monoamine neurotransmitters, making it difficult to obtain original data such as voltage and current, and unable to directly draw a current-time curve based on the original data, thus bringing difficulties to the research on the dynamic release of monoamine neurotransmitters. Summary of the Invention

[0003] In view of the above, it is necessary to provide a data processing method and related devices that can solve the technical problems of inability to achieve three-dimensional recording of monoamine neurotransmitters, difficult acquisition of original data, and inability to draw a current-time curve based on the original data on the premise that the stimulating electrode and the carbon fiber electrode cannot be synchronized.

[0004] On the one hand, this application provides a data processing method applied to an electronic device, which communicates with a patch clamp electrophysiological system. The patch clamp electrophysiological system includes a carbon fiber electrode and a stimulating electrode. The method includes: collecting first data and second data from the patch clamp electrophysiological system. The first data is the data generated after a configured carbon fiber electrode applies multiple scanning voltages to a cell, and the second data is the data generated after a configured stimulating electrode applies an electrical stimulation to the cell and then the configured carbon fiber electrode applies multiple scanning voltages to the cell. Extracting target current data from the first data, generating a first curve based on the target current data and the second data, sampling a single scanning voltage to obtain target sampling points, and generating a corresponding second curve based on the initial current data and sampling time of the multiple target sampling points in the sampled first data or the sampled second data.

[0005] According to an optional embodiment of this application, the voltage parameters corresponding to the multiple scanning voltages include the number of pre-stimulus scans. The first curve is a current-voltage curve. The extracting target current data from the first data and generating a first curve based on the target current data and the second data includes: generating a target number range according to the number of pre-stimulus scans, extracting the first data according to the target number range to obtain multiple target current data, and generating the current-voltage curve based on the multiple target current data, each scanning voltage in the second data, and the initial current data corresponding to each scanning voltage in the second data.

[0006] According to an alternative embodiment of the present application, each scan voltage includes a plurality of scan voltage values. Generating the current-voltage curve based on the plurality of target current data, each scan voltage in the second data, and the initial current data corresponding to each scan voltage in the second data includes: calculating the average current of the plurality of target current data, calculating the difference between the initial current data of each scan voltage value in the second data and the average current to obtain the current difference data corresponding to each scan voltage value, and generating the current-voltage curve based on the plurality of scan voltage values and the current difference data corresponding to each scan voltage value.

[0007] According to an alternative embodiment of the present application, the second curve is a current-time curve. Obtaining the target sampling points after sampling a single scan voltage, and generating the corresponding second curve based on the initial current data and sampling time of the plurality of target sampling points in the first data or the second data after sampling includes: obtaining the sampling frequency from the patch clamp electrophysiological system, screening out the target sampling points corresponding to each scan voltage from the plurality of voltage sampling points generated after sampling each scan voltage according to the sampling frequency, the preset voltage value, and the voltage parameter, and generating the current-time curve based on the first initial current data corresponding to the plurality of target sampling points in the first data after sampling, the sampling time corresponding to each target sampling point, and the second initial current data corresponding to the plurality of target sampling points in the second data after sampling.

[0008] According to an alternative embodiment of the present application, the current-time curve includes the current-time curve of the first data and the current-time curve of the second data. Generating the current-time curve based on the first initial current data corresponding to the plurality of target sampling points in the first data after sampling, the sampling time corresponding to each target sampling point, and the second initial current data corresponding to the plurality of target sampling points in the second data after sampling includes: generating the current-time curve of the first data based on the first initial current data corresponding to each target sampling point and the sampling time corresponding to each target sampling point, and generating the current-time curve of the second data based on the second initial current data corresponding to each target sampling point and the sampling time corresponding to each target sampling point.

[0009] As can be seen from the above technical solutions, the first curve can characterize the correlation between current and voltage. Since the magnitude of the current data can reflect the release of cell transmitters, analyzing the first curve can obtain the dynamic release of cell transmitters. The second curve can characterize the correlation between current and time. By plotting the first curve and the second curve, the original current data and original voltage data are converted into effective and intuitive curves. Since the second curve is a current-time curve, in subsequent applications, a series of indexes of the cell's neurotransmitter reuptake ability can be analyzed based on the current-time curve, thus promoting the research on the reuptake of monoamine transmitters.

[0010] On the other hand, the present application provides a data processing method applied to a patch clamp electrophysiological system. The patch clamp electrophysiological system communicates with an electronic device. The patch clamp electrophysiological system includes a stimulator, an amplifier, a stimulating electrode, and a carbon fiber electrode. The stimulator is connected to the stimulating electrode, and the amplifier is connected to the carbon fiber electrode. The method includes: the stimulator generates an electrical stimulus based on preset electrical stimulation parameters and transmits the electrical stimulus to the stimulating electrode to configure the stimulating electrode; the amplifier generates a scanning voltage based on preset voltage parameters and transmits the scanning voltage to the carbon fiber electrode to configure the carbon fiber electrode.

[0011] According to an optional embodiment of the present application, the patch clamp electrophysiological system further includes a data acquisition and analysis system. The method further includes: the configured carbon fiber electrode cyclically applies a plurality of scanning voltages to the cell transmitters in the cell gap to cause a redox reaction of the cell transmitters in the gap. The data acquisition and analysis system acquires first current data corresponding to each scanning voltage generated after the redox reaction. The data acquisition and analysis system generates a first data file based on the plurality of scanning voltages and the first current data corresponding to each scanning voltage. The configured stimulating electrode applies an electrical stimulus to the cell to cause the cell to release cell transmitters. The configured carbon fiber electrode cyclically applies the plurality of scanning voltages to the released cell transmitters to cause a redox reaction of the released cell transmitters. The data acquisition and analysis system acquires second current data corresponding to each scanning voltage generated after the redox reaction. The data acquisition and analysis system generates a second data file based on the plurality of scanning voltages and the second current data corresponding to each scanning voltage. The data acquisition and analysis system samples each scanning voltage using a preset sampling frequency to obtain a plurality of voltage sampling points corresponding to each scanning voltage.

[0012] According to an alternative embodiment of the present application, the method further includes: the patch clamp electrophysiological system processes the cell multiple times, and generates a first initial data file and a second initial data file corresponding to each process according to the current data generated after each process and the multiple scanning voltages, and the patch clamp electrophysiological system selects the first data file from multiple first initial data files, and selects the second data file from multiple second initial data files.

[0013] It can be seen from the above technical solutions that the configured carbon fiber electrode applies multiple scanning voltages to the neurotransmitter cycle in the cell gap, causing a redox reaction of the neurotransmitter in the gap. The data acquisition and analysis system acquires the first current data corresponding to each scanning voltage generated after the redox reaction, and the data acquisition and analysis system generates a first data file according to the multiple scanning voltages and the first current data corresponding to each scanning voltage; the first data file is the file before electrical stimulation. The configured stimulation electrode applies electrical stimulation to the cell, which can simulate the physiological release of neurotransmitters; the configured carbon fiber electrode applies the multiple scanning voltages to the released neurotransmitter in a cycle, causing a redox reaction of the released neurotransmitter. The data acquisition and analysis system acquires the second current data corresponding to each scanning voltage generated after the redox reaction, and the data acquisition and analysis system generates a second data file according to the multiple scanning voltages and the second current data corresponding to each scanning voltage. Since the magnitude of the current data can reflect the neurotransmitter release and reuptake conditions, by analyzing the first data file and the second data file respectively, an intuitive voltage-current curve, and current-time curves corresponding to before and after electrical stimulation can be plotted. Through the voltage-current curve, the relationship between the current and the scanning voltage can be obtained, and through the current-time curves corresponding to before and after electrical stimulation, intuitive information about the neurotransmitter release and reuptake before and after electrical stimulation can be obtained.

[0014] On the other hand, the present application provides an electronic device, which includes: a memory storing at least one instruction; and a processor that obtains the instruction stored in the memory to implement the data processing method described above.

[0015] On the other hand, the present application provides a computer-readable storage medium, in which at least one instruction is stored, and the at least one instruction is obtained by a processor in an electronic device to implement the data processing method described above.

[0016] Understandably, both the electronic device and the computer-readable storage medium correspond to the above data processing method. Therefore, the beneficial effects they can achieve can refer to the beneficial effects in the corresponding method provided above, and will not be elaborated here. Description of the Drawings

[0017] Figure 1 is an application scenario diagram of the data processing method provided in the first embodiment of the present application.

[0018] Figure 2 is a flowchart of the data processing method provided in the first embodiment of the present application.

[0019] Figure 3 is a schematic diagram of the current-voltage curve provided in the first embodiment of the present application.

[0020] Figure 4 is a schematic diagram of multiple voltage sampling points provided in the first embodiment of the present application.

[0021] Figure 5 is a schematic diagram of the current-time curve provided in the first embodiment of the present application.

[0022] Figure 6 is a flowchart of the data processing method provided in the second embodiment of the present application.

[0023] Figure 7 is an application scenario diagram of the data processing method provided in the second embodiment of the present application.

[0024] Figure 8 is a schematic diagram for comparing the amounts of neurotransmitter release before and after electrical stimulation provided in the second embodiment of the present application.

[0025] Figure 9 is a schematic diagram of the structure of the electronic device of the data processing method provided in the third embodiment of the present application. Detailed Embodiments

[0026] It should be noted that in the present application, "at least one" means one or more, and "multiple" means two or more than two. "And / or" describes the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone, where A and B can be singular or plural. The terms "first", "second", "third", "fourth", etc. (if any) in the specification, claims, and drawings of the present application are used to distinguish similar objects, rather than to describe a specific order or sequence.

[0027] In the embodiments of the present application, words such as "exemplary" or "for example" are used to represent examples, illustrations, or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplary" or "for example" is intended to present relevant concepts in a specific manner.

[0028] In the current field of biomedical research, the "Demon Voltammetry" software and its supporting instruments can usually directly convert the acquired raw data into intuitive and effective information, and analyze the dynamic release of monoamine neurotransmitters based on the intuitive and effective information. However, the use of the "Demon Voltammetry" software and its supporting instruments is restricted. At the same time, the commonly used CHI electrochemical workstation cannot synchronize the stimulating electrode and the carbon fiber electrode, resulting in the inability to achieve three-dimensional recording of monoamine neurotransmitters, making it difficult to obtain raw data such as original voltage and current, and unable to directly draw a current-time curve based on the raw data, thus bringing difficulties to the study of the dynamic release of monoamine neurotransmitters.

[0029] In order to solve the technical problems of the inability to achieve three-dimensional recording of monoamine neurotransmitters, difficult acquisition of raw data, and inability to directly convert raw data into intuitive and effective information under the premise that the use of the "Demon Voltammetry" software and its supporting instruments is restricted and the stimulating electrode and the carbon fiber electrode cannot be synchronized, the embodiments of the present application provide a data processing method, which can be specifically referred to in the descriptions of multiple embodiments below.

[0030] In order to make the objectives, technical solutions, and advantages of the present application clearer, the present application will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0031] Embodiment 1

[0032] As Figure 1 shown, it is an application scenario diagram of the data processing method provided in Embodiment 1 of the present application. Figure 1It includes an electronic device 1, which communicates with a patch clamp electrophysiological system 2 (HEKA system). The patch clamp electrophysiological system includes an amplifier 3, a stimulator 4 connected thereto, a carbon fiber electrode 5, a stimulating electrode 6, and a data acquisition and analysis system (Patchmaster) 7. The amplifier 3 is used to generate a scanning voltage, and the stimulator 4 is used to generate an electrical stimulation. The amplifier 3 is connected to the carbon fiber electrode 5, and the stimulator 4 is connected to the stimulating electrode 6. Both the carbon fiber electrode 5 and the stimulating electrode 6 are in the tissue cells 8, so that the configured carbon fiber electrode 5 can apply a scanning voltage to the tissue cells, and the configured stimulating electrode 6 can apply an electrical stimulation to the tissue cells. The tissue cells 8 can be intracranial tissue cells or brain slice cells. The data acquisition and analysis system 7 is used to collect and record the data of the stimulator 4 and the amplifier 3, and collect the data generated after the carbon fiber electrode 5 and the stimulating electrode 6 process the cells, and export the collected data into various formats of files.

[0033] The data processing method can be applied to one or more electronic devices 1. The electronic device 1 is a device that can automatically perform parameter value calculation and / or information processing according to pre-set or stored instructions. Its hardware includes, but is not limited to: a microprocessor, an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA), a digital signal processor (DSP), an embedded device, etc.

[0034] The electronic device 1 can be any electronic product that can perform human-computer interaction with users. For example, a personal computer, a tablet computer, a smart phone, a personal digital assistant (PDA), a game console, an Internet protocol television (IPTV), a smart wearable device, etc.

[0035] The electronic device 1 is built-in with data analysis software, which includes, but is not limited to: software such as matlab and python.

[0036] The electronic device 1 may also include a network device and / or a user device. Among them, the network device includes, but is not limited to, a single network server, a server group composed of multiple network servers, or a cloud composed of a large number of hosts or network servers based on cloud computing.

[0037] The network where the electronic device 1 is located includes, but is not limited to, the Internet, wide area network, metropolitan area network, local area network, virtual private network (VPN), etc.

[0038] As Figure 2 shown, it is a flowchart of the data processing method provided in the first embodiment of this application. According to different requirements, the order of each step in this flowchart can be adjusted according to actual detection requirements, and some steps can be omitted. The execution subject of the method is an electronic device, such as Figure 1 the electronic device 1 shown.

[0039] 101. Collect first data and second data from the patch clamp electrophysiological system. The first data is the data generated after a configured carbon fiber electrode applies multiple scanning voltages to a cell, and the second data is the data generated after a configured stimulation electrode applies an electrical stimulation to the cell and then the configured carbon fiber electrode applies multiple scanning voltages to the cell.

[0040] In at least one embodiment of this application, since the first data is the data generated after a configured carbon fiber electrode applies multiple scanning voltages to a cell, therefore, the first data refers to the data generated by only applying multiple scanning voltages to the cell without applying an electrical stimulation to the cell. The first data includes the data of the multiple scanning voltages and the initial current data corresponding to the data of each scanning voltage. The electronic device obtains a first data file from the data acquisition and analysis system in the patch clamp electrophysiological system, and obtains the first data from the first data file. The first data file includes multiple first voltage files and a first current file corresponding to each first voltage file. Among them, each first voltage file is a file of each scanning voltage, and the first current file corresponding to each first voltage file includes the initial current data corresponding to each scanning voltage. The format of each first voltage file and the corresponding first current file can be the matlab software format. For example, any first voltage file can be an xxxx.mat file. The number of the multiple first voltage files corresponds to the number of the multiple scanning voltages corresponding to the first data. For example, when the number of the multiple scanning voltages corresponding to the first data is 150, the number of the multiple first voltage files and the number of the first current files are both 150.

[0041] In at least one embodiment of the present application, since the second data is the data generated after the configured carbon fiber electrode applies a plurality of scanning voltages to the cell after the configured stimulating electrode applies an electrical stimulation to the cell, the second data includes the data of the scanning voltages and the initial current data corresponding to the data of the scanning voltages. The electronic device obtains a second data file from the data acquisition and analysis system in the patch clamp electrophysiology system, and obtains the second data from the second data file. The second data file includes a plurality of second voltage files and a second current file corresponding to each second voltage file. The number of the plurality of scanning voltages corresponding to the second data may be different from the number of the plurality of scanning voltages corresponding to the first data. For example, when the number of the plurality of scanning voltages corresponding to the first data may be 150, the number of the plurality of scanning voltages corresponding to the second data may be 300. When the number of the plurality of scanning voltages corresponding to the second data may be 300, the number of the plurality of second voltage files and the second current files are both 300.

[0042] Among them, the initial current data is the current generated by the oxidation-reduction reaction of the cell neurotransmitter in the cell under a specific voltage, losing electrons. The neurotransmitter may be a monoamine neurotransmitter. For example, the cell neurotransmitter may be dopamine. In addition, when the cell neurotransmitter is dopamine, the specific voltage may be 0.7V.

[0043] In this embodiment, the plurality of scanning voltages are periodic.

[0044] In at least one embodiment of the present application, when the formats of the plurality of first voltage files, the first current file corresponding to each first voltage file, the plurality of second voltage files, and the second current file corresponding to each second voltage file are all in the format of the matlab software, the electronic device can analyze the first data and the second data through the built-in matlab software to obtain the first curve and the second curve in the following text.

[0045] In other embodiments of the present application, the plurality of first voltage files, the first current file corresponding to each first voltage file, the plurality of second voltage files, and the second current file corresponding to each second voltage file may be files in the format of other software.

[0046] In this embodiment, collecting the second data from the patch clamp electrophysiology system solves the technical problem in the prior art that the CHI electrochemical workstation cannot synchronize the physical electrode with the carbon fiber electrode, resulting in difficulty in obtaining the original data.

[0047] 102. Extract target current data from the first data, and generate a first curve according to the target current data and the second data.

[0048] In at least one embodiment of the present application, the voltage parameters corresponding to the multiple scanning voltages include the number of pre-stimulus scans, and the first curve is a current-voltage curve.

[0049] In at least one embodiment of the present application, the voltage parameter refers to a parameter related to the multiple scanning voltages, and the voltage parameters include, but are not limited to: the number of pre-stimulus scans, the number of post-stimulus scans, the scanning speed, the scanning time interval, the scanning voltage, and so on. Among them, both the number of pre-stimulus scans and the number of post-stimulus scans refer to the number of applied scanning voltages.

[0050] For example, the number of pre-stimulus scans can be 150, the number of post-stimulus scans can be 300, the scanning speed can be any value between 300V / s and 900V / s (such as 400V / s), the scanning time interval can be 100ms, and each scanning voltage can be a triangular waveform voltage of -0.4V~+1V~-0.4V (for ease of description, hereinafter simply referred to as "triangular voltage"). In addition, when the scanning speed is 400V / s, the scanning time interval is 100ms, and each scanning voltage is a triangular voltage of -0.4V~+1V~-0.4V, the duration of each scanning voltage is Therefore, the period is the sum of the scanning time interval and the duration, which is 107ms.

[0051] In at least one embodiment of the present application, the electronic device extracts target current data from the first data, and generating the first curve according to the target current data and the second data includes:

[0052] The electronic device generates a target number range according to the number of pre-stimulus scans, extracts the first data according to the target number range to obtain a plurality of the target current data, and then the electronic device uses matlab software to generate the current-voltage curve according to the plurality of target current data, each scanning voltage in the second data, and the initial current data corresponding to each scanning voltage in the second data.

[0053] In this embodiment, the number of pre-stimulus scans can be set by itself, and the present application does not limit this. For example, the number of pre-stimulus scans is 150. The target number range can be the latter segment range in the number of pre-stimulus scans. For example, when the number of pre-stimulus scans is 150, the target number range can be 120~150.

[0054] In this embodiment, since there is very little neurotransmitter in the gap between cells before electrical stimulation, the generated target current data is almost zero. Since the target number range can be the latter range of the number of scans before stimulation, target current data in a stable state of both the scan voltage and the electrical stimulation can be selected, thus ensuring the accuracy of the target current data.

[0055] Specifically, each scan voltage includes a plurality of scan voltage values. The electronic device generates the current-voltage curve based on the plurality of target current data, each scan voltage in the second data, and the initial current data corresponding to each scan voltage in the second data, including:

[0056] The electronic device calculates the average current value of the plurality of target current data. Then, the electronic device calculates the difference between the initial current data of each scan voltage value in the second data and the average current value to obtain the current difference data corresponding to each scan voltage value. The electronic device uses matlab software to generate the current-voltage curve based on the plurality of scan voltage values and the current difference data corresponding to each scan voltage value.

[0057] Among them, the electronic device uses matlab software to plot based on the plurality of scan voltage values and the current difference data corresponding to each scan voltage value to obtain the current-voltage curve.

[0058] As Figure 3 shown, it is a schematic diagram of the current-voltage curve provided in Embodiment 1 of the present application. Figure 3 The abscissa is the plurality of scan voltage values corresponding to each scan voltage, and the ordinate is the current difference data corresponding to each scan voltage value. It can be seen from Figure 3 that the current difference data changes fastest around 0.7V.

[0059] In this embodiment, by calculating the average current value, reasonable errors can be eliminated. By calculating the current difference data, the current change between before and after electrical stimulation can be compared.

[0060] 103, after sampling a single scan voltage, target sampling points are obtained. According to the initial current data and sampling time of the multiple target sampling points in the first data or the second data after sampling, a corresponding second curve is generated.

[0061] In at least one embodiment of the present application, each target sampling point refers to a voltage sampling point selected from the plurality of voltage sampling points corresponding to each scan voltage, which are generated after sampling each scan voltage. The number of the multiple target sampling points corresponds to the number of the multiple scan voltages.

[0062] In at least one embodiment of the present application, since the first data includes data of a plurality of scanning voltages corresponding to the number of pre - stimulation scans and initial current data of each scanning voltage corresponding to the number of pre - stimulation scans, therefore, the sampled first data refers to data generated after sampling each scanning voltage corresponding to the number of pre - stimulation scans, and data generated after sampling the initial current data of each scanning voltage corresponding to the number of pre - stimulation scans.

[0063] In at least one embodiment of the present application, since the second data includes data of a plurality of scanning voltages corresponding to the number of post - stimulation scans and initial current data of each scanning voltage corresponding to the number of post - stimulation scans, therefore, the sampled second data refers to data generated after sampling each scanning voltage corresponding to the number of post - stimulation scans, and data generated after sampling the initial current data of each scanning voltage corresponding to the number of post - stimulation scans.

[0064] In at least one embodiment of the present application, the second curve is a current - time curve. After the electronic device samples a single scanning voltage to obtain target sampling points, generating the corresponding second curve according to the initial current data and sampling time of the plurality of target sampling points in the sampled first data or the sampled second data includes:

[0065] The electronic device obtains the sampling frequency from the patch - clamp electrophysiological system. The electronic device filters out the target sampling point corresponding to each scanning voltage from the plurality of voltage sampling points generated after sampling each scanning voltage according to the sampling frequency, the preset voltage value, and the voltage parameter, and generates the current - time curve according to the first initial current data corresponding to the plurality of target sampling points in the sampled first data, the sampling time corresponding to each target sampling point, and the second initial current data corresponding to the plurality of target sampling points in the sampled second data.

[0066] Wherein, the preset voltage value can be a specific voltage value at which the cell neurotransmitter undergoes an oxidation - reduction reaction. For example, when the cell neurotransmitter is dopamine, usually the specific voltage value at which dopamine undergoes an oxidation - reduction reaction is 0.7V. Therefore, the preset voltage value can be 0.7V.

[0067] Specifically, the electronic device filters out the target sampling point corresponding to each scanning voltage from the plurality of voltage sampling points generated after sampling each scanning voltage according to the sampling frequency, the preset voltage value, and the voltage parameter, including:

[0068] The electronic device calculates the number of sampling points for each scanning voltage according to the sampling frequency, and the voltage difference between the preset voltage value and the initial value of each scanning voltage. Then, the electronic device calculates a first ratio between the voltage difference and the scanning speed, and calculates a second ratio between the duration of each scanning voltage and the number of sampling points. The electronic device determines the ratio between the first ratio and the second ratio as the target sampling point.

[0069] In this embodiment, the electronic device multiplies the sampling frequency by the duration of each scanning voltage to obtain the number of sampling points.

[0070] For example, when the duration of each scanning voltage is 7 ms and the sampling frequency is 20 KHz, the number of sampling points is 140 = 7 ms * 20 KHz.

[0071] For example, when each scanning voltage is a triangular voltage of -0.4 V to +1 V to -0.4 V, the preset voltage value is a specific voltage of 0.7 V at which dopamine undergoes oxidation-reduction reaction, the scanning speed is 400 V / s, and the duration is 7 ms, then the initial value is -0.4 V, the number of sampling points is 140, the voltage difference is 1.1 V = 0.7 V - (-0.4 V), the first ratio is = 1.1 V / 400 V / s, the second ratio is 7 ms / 140, and the target sampling point is 55 = 1.1 V / 400 V / s / (7 ms / 140).

[0072] As Figure 4 shown, it is a schematic diagram of multiple voltage sampling points provided in Embodiment 1 of the present application. Figure 4 The scanning voltage in is a triangular voltage of -0.4 V to +1 V to -0.4 V, and the sampling frequency is 20 KHz. Then, each scanning voltage corresponds to 140 sampled data voltages. When the preset voltage value is a specific voltage value of 0.7 V at which dopamine undergoes oxidation-reduction reaction, the target sampling point is the 55th voltage sampling point.

[0073] In this embodiment, since the current generated by the oxidation-reduction reaction of the cellular neurotransmitter dopamine is the largest when the preset voltage value is 0.7 V, selecting the target sampling point according to the preset voltage value can ensure that the target sampling point is the voltage sampling point corresponding to a large change in current.

[0074] Specifically, the current-time curve includes the current-time curve of the first data and the current-time curve of the second data. The electronic device generates the current-time curve based on the first initial current data corresponding to multiple target sampling points in the sampled first data, the sampling time corresponding to each target sampling point, and the second initial current data corresponding to the multiple target sampling points in the sampled second data, including:

[0075] The electronic device uses Matlab software to plot according to the first initial current data corresponding to each target sampling point and the sampling time corresponding to each target sampling point to obtain the current-time curve of the first data. At the same time, the electronic device uses Matlab software to plot according to the second initial current data corresponding to each target sampling point and the sampling time corresponding to each target sampling point to obtain the current-time curve of the second data.

[0076] In this embodiment, the sampling time may be the time corresponding to each target sampling point in the duration of each scanning voltage. For example, the duration of the first scanning voltage is 7 ms, the sampling time of the first target sampling point is about 2.6 ms in the 7 ms, and the sampling time of the next target sampling point is about 102.6 ms = 2.6 ms + scanning time interval 100 ms. Since the first data is generated before applying electrical stimulation to the cell and the second data is generated after applying electrical stimulation to the cell, therefore, the current-time curve of the first data is the current-time curve before electrical stimulation, and the current-time curve of the second data is the current-time curve after electrical stimulation.

[0077] As Figure 5 shown, it is a schematic diagram of the current-time curve provided in Embodiment 1 of the present application. It can be seen from Figure 5 that before applying electrical stimulation, the current is almost zero. After applying electrical stimulation to the cell, the neurotransmitter (dopamine) released by the cell gradually increases, and more neurotransmitter redox reactions occur, so the generated current gradually increases. After reaching the peak, the cell will re-uptake a part of the neurotransmitter, so the current also gradually decreases.

[0078] In this embodiment, by separately plotting the current-time curve before electrical stimulation and the current-time curve after electrical stimulation, an intuitive comparison can be made, so that the change relationship of the current before and after electrical stimulation with time can be directly analyzed. Since the magnitude of the current is proportional to the release amount of the neurotransmitter (dopamine), the release and re-uptake conditions of the neurotransmitter in the cell before and after electrical stimulation can be quickly analyzed.

[0079] In other embodiments of the present application, the electronic device can analyze the maximum release current, the maximum rate of cellular neurotransmitter reuptake, the half-life, the times (T20, T80) corresponding to 20% and 80% of neurotransmitter reuptake, and many other effective information based on the current-time curve before the electrical stimulation and the current-time curve after the electrical stimulation.

[0080] It can be seen from the above technical solutions that the first curve can characterize the correlation between current and voltage. Since the magnitude of the current data can reflect the release of cellular neurotransmitters, by analyzing the first curve, the dynamic release of cellular neurotransmitters can be obtained; the second curve can characterize the correlation between current and time. By plotting the first curve and the second curve, the original current data and the original voltage data are converted into effective and intuitive curves. Since the second curve is a current-time curve, in subsequent applications, a series of indicators of the cell's neurotransmitter reuptake ability can be analyzed based on the current-time curve, thereby promoting the research on the reuptake of monoamine neurotransmitters.

[0081] Embodiment 2

[0082] As Figure 6 shown, it is a flowchart of the data processing method provided in Embodiment 2 of the present application. According to different requirements, the order of each step in this flowchart can be adjusted according to actual detection requirements, and some steps can be omitted. The execution subject of the method is a patch clamp electrophysiological system (HEKA system). The patch clamp electrophysiological system includes a data acquisition and analysis system, a stimulator, an amplifier, a stimulating electrode, and a carbon fiber electrode. The data acquisition and analysis system is used to collect and record the data of the stimulator and the amplifier, and collect the data generated after the carbon fiber electrode and the stimulating electrode process the cells, and export the collected data into various formats of files. The amplifier is used to generate a scanning voltage, the stimulator is used to generate an electrical stimulation, the amplifier is connected to the carbon fiber electrode, the stimulator is connected to the stimulating electrode, and both the carbon fiber electrode and the stimulating electrode are located in tissue cells. For example, the tissue cells can be brain slice tissue cells. As Figure 7 shown, it is an application scenario diagram of the data processing method provided in Embodiment 2 of the present application. Figure 7 The tissue cells in Figure 7 are brain tissue cells, and the positions of the carbon fiber electrode and the stimulating electrode in the brain tissue cells are as

[0083] 201, the stimulator generates an electrical stimulation based on preset electrical stimulation parameters and transmits the electrical stimulation to the stimulating electrode to configure the stimulating electrode.

[0084] In this embodiment, the electrical stimulation parameters refer to the parameters related to electrical stimulation. For example, the electrical stimulation parameters include the number of electrical stimulations, the intensity of electrical stimulation, the electrical stimulation rate, and so on. The electrical stimulation parameters can be set by oneself, and this application does not limit this.

[0085] 202, the amplifier generates a scanning voltage based on a preset voltage parameter and transmits the scanning voltage to the carbon fiber electrode, so that the carbon fiber electrode is configured.

[0086] In this embodiment, the voltage parameter refers to the parameter related to the scanning voltage generated by the amplifier. For example, the voltage parameter includes the scanning voltage, the number of pre-stimulus scans, the number of post-stimulus scans, the scanning speed, and the scanning time interval, and so on. Among them, both the number of pre-stimulus scans and the number of post-stimulus scans refer to the number of applied scanning voltages. For example, the number of pre-stimulus scans is 150, and the number of post-stimulus scans is 300. The scanning voltage can be a triangular waveform voltage of -0.4V to +1V to -0.4V (for the convenience of description, it is hereinafter simply referred to as "triangular voltage"). The voltage parameter can be set by oneself, and this application does not limit this.

[0087] 203, the configured carbon fiber electrode applies a plurality of scanning voltages to the cell transmitter circulation in the cell gap, causing a redox reaction of the cell transmitter in the gap. The data acquisition and analysis system acquires the first current data corresponding to each scanning voltage generated after the redox reaction, and the data acquisition and analysis system generates a first data file according to the plurality of scanning voltages and the first current data corresponding to each scanning voltage.

[0088] In at least one embodiment of this application, the number of scanning voltages applied by the configured carbon fiber electrode to the cell transmitter circulation in the cell gap can be the number of pre-stimulus scans, 150. The cell can be an intracranial tissue cell or a brain slice tissue cell, and the cell transmitter can be a monoamine transmitter released by the cell, such as dopamine. After each scanning voltage is applied, the cell transmitter undergoes a redox reaction and loses electrons, generating the first current data. Therefore, the first current data is proportional to the release amount of the cell transmitter, and the magnitude of the first current data can represent the magnitude of the release amount of the cell transmitter.

[0089] In at least one embodiment of this application, the first data file refers to the file corresponding to not applying electrical stimulation to the cell.

[0090] In at least one embodiment of the present application, the first data file includes a first voltage file corresponding to each scanning voltage and a first current file corresponding to each first voltage file. For example, when the number of pre-stimulus scans is 150, the number of the first voltage file and the first current file is both 150. Each first voltage file includes multiple scanning voltage values corresponding to each scanning voltage, and each first current file includes first current data corresponding to each scanning voltage value.

[0091] In at least one embodiment of the present application, the data acquisition and analysis system generates the first data file according to the multiple scanning voltages and the first current data corresponding to each scanning voltage, including:

[0092] The data acquisition and analysis system exports the multiple scanning voltage values corresponding to each scanning voltage as a file in matlab format to obtain a first voltage file corresponding to each scanning voltage, and exports the first current data corresponding to the multiple scanning voltage values as a file in matlab format to obtain a first current file corresponding to the first voltage file. For example, any voltage file can be a xxxx.mat file.

[0093] In this embodiment, since both the first current file and the second voltage file are files in matlab format, the first current file and the first voltage file can be directly analyzed by the matlab software in the electronic device.

[0094] In at least one embodiment of the present application, the data acquisition and analysis system samples the first data file to obtain a sampled first data file.

[0095] In this embodiment, since the first data file includes multiple scanning voltages and the first current data corresponding to each scanning voltage, the data acquisition and analysis system samples each scanning voltage and each first current data to obtain the sampled first data file. Among them, the process of the data acquisition and analysis system sampling each scanning voltage can be seen in the process of sampling each scanning voltage using a preset sampling frequency in the following text. The method of the data acquisition and analysis system sampling each first current data is basically the same as the process of sampling each scanning voltage, so the present application will not elaborate here.

[0096] 204. The configured stimulating electrode applies an electrical stimulus to the cell to cause the cell to release cell transmitters.

[0097] In this embodiment, the cell transmitter can be a monoamine transmitter released by the cell, for example: dopamine.

[0098] In this embodiment, by applying an electrical stimulus to the cells to cause the cells to release neurotransmitters, the physiological release of the cell neurotransmitters can be simulated. Since monoamine neurotransmitters undergo redox reactions and lose electrons at a specific voltage, generating an electric current, the magnitude of the generated current can characterize the release amount of cell neurotransmitters. The greater the generated current, the more the release amount of cell neurotransmitters. As Figure 8 shown, it is a comparative schematic diagram of the release amounts of cell neurotransmitters before and after electrical stimulation provided in the second embodiment of the present application.

[0099] Figure 8 The cell neurotransmitter in Figure 8 is dopamine. It can be seen that the dopamine generated after electrical stimulation is significantly higher than that generated before electrical stimulation.

[0100] 205, the configured carbon fiber electrode cyclically applies the plurality of scanning voltages to the released cell neurotransmitters, causing the released cell neurotransmitters to undergo redox reactions. The data acquisition and analysis system acquires the second current data corresponding to each scanning voltage generated after the redox reaction, and the data acquisition and analysis system generates a second data file based on the plurality of scanning voltages and the second current data corresponding to each scanning voltage.

[0101] In at least one embodiment of the present application, the number of scanning voltages cyclically applied by the configured carbon fiber electrode to the released cell neurotransmitters can be 300, the number of post-stimulation scans.

[0102] In at least one embodiment of the present application, the second data file refers to the file corresponding to after applying an electrical stimulus to the cells.

[0103] In at least one embodiment of the present application, the second data file includes a second voltage file corresponding to each scanning voltage and a second current file corresponding to each second voltage file. For example, when the number of post-stimulation scans is 300, the number of second voltage files and second current files in the second data file is both 300. After applying the electrical stimulus and after applying each scanning voltage, the cell neurotransmitters undergo redox reactions and lose electrons, generating the second current data. The generation process of each second voltage file is basically the same as that of each first voltage file, and the generation process of the second current file corresponding to the second voltage file is basically the same as that of each first current file, so the present application will not elaborate here.

[0104] In at least one embodiment of the present application, the data acquisition and analysis system samples the second data file to obtain a sampled second data file. The generation process of the sampled second data file is basically the same as that of the sampled first data file, so the present application will not elaborate here.

[0105] 206. The data acquisition and analysis system samples each scanning voltage using a preset sampling frequency to obtain multiple voltage sampling points corresponding to each scanning voltage.

[0106] In this embodiment, the sampling frequency can be set by itself, and the present application does not limit this. For example, the sampling frequency can be 20 KHz.

[0107] In this embodiment, the number of the multiple voltage sampling points is the product of the duration of each scanning voltage and the sampling frequency.

[0108] For example, when the duration of the scanning voltage is 7 ms and the sampling frequency is 20 KHz, the product of the duration of 7 ms and 20 KHz is 140. Therefore, each scanning voltage corresponds to 140 voltage sampling points.

[0109] In this embodiment, sampling each scanning voltage through the sampling frequency can discretize each scanning voltage, thereby facilitating the electronic device to select target sampling points.

[0110] In other embodiments of the present application, the data processing method further includes:

[0111] The patch clamp electrophysiological system processes the cell multiple times, and generates a first initial data file and a second initial data file corresponding to each processing according to the current data generated after each processing and the multiple scanning voltages. The patch clamp electrophysiological system selects the first data file from multiple first initial data files, and selects the second data file from multiple second initial data files.

[0112] In this embodiment, the number of times of multiple processing can be set by itself, and the present application does not limit this. For example, the number of times of processing can be 20 times. The steps of the patch clamp electrophysiological system for each processing of the cell include steps 201 - 206. The generation process of the first initial data file is basically the same as that of the first data file, and the generation process of the second initial data file is basically the same as that of the second data file. Therefore, the present application does not elaborate here.

[0113] In this embodiment, a target number of times can be selected from the number of times of processing, aiming to ensure that the data in the first data file and the second data file is collected in a stable state to ensure the accuracy of the data. For example, when the number of times of processing is 20 times, the target number of times can be the 15th time. Then the first data file is the first initial data file corresponding to the 15th processing, and the second data file is the second initial data file corresponding to the 15th processing.

[0114] As can be seen from the above technical solution, the configured carbon fiber electrode applies multiple scanning voltages to the neurotransmitter cycle in the cell gap, causing a redox reaction of the neurotransmitter in the gap. The data acquisition and analysis system acquires the first current data corresponding to each scanning voltage generated after the redox reaction, and the data acquisition and analysis system generates a first data file according to the multiple scanning voltages and the first current data corresponding to each scanning voltage. The first data file is the file before electrical stimulation. The configured stimulation electrode applies electrical stimulation to the cell, which can simulate the physiological release of neurotransmitters. The configured carbon fiber electrode applies the multiple scanning voltages to the released neurotransmitter in a cycle, causing a redox reaction of the released neurotransmitter. The data acquisition and analysis system acquires the second current data corresponding to each scanning voltage generated after the redox reaction, and the data acquisition and analysis system generates a second data file according to the multiple scanning voltages and the second current data corresponding to each scanning voltage. Since the magnitude of the current data can reflect the release and reuptake of neurotransmitters, by analyzing the first data file and the second data file respectively, an intuitive voltage-current curve and current-time curves corresponding to before and after electrical stimulation can be plotted. The relationship between the current and the scanning voltage can be obtained through the voltage-current curve, and intuitive information about the release and reuptake of neurotransmitters before and after electrical stimulation can be obtained through the current-time curves corresponding to before and after electrical stimulation.

[0115] Embodiment III

[0116] As Figure 9 shown, it is a schematic structural diagram of an electronic device for the data processing method provided in Embodiment III of the present application.

[0117] In an embodiment of the present application, the electronic device 1 includes, but is not limited to, a memory 12, a processor 13, and a computer program stored in the memory 12 and executable on the processor 13, such as a data processing program.

[0118] Those skilled in the art can understand that the schematic diagram is only an example of the electronic device 1, and does not constitute a limitation on the electronic device 1. It may include more or fewer components than shown, or combine some components, or different components. For example, the electronic device 1 may further include input / output devices, network access devices, buses, etc.

[0119] The processor 13 may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor 13 is the operation core and control center of the electronic device 1, connecting various parts of the entire electronic device 1 through various interfaces and lines, and obtaining the operating system of the electronic device 1 and various installed application programs, program codes, etc.

[0120] The processor 13 obtains the operating system of the electronic device 1 and various installed application programs. The processor 13 obtains the application programs to implement the steps in the above-mentioned various data processing method embodiments, for example Figure 2 。

[0121] Exemplarily, the computer program may be divided into one or more modules / units, and the one or more modules / units are stored in the memory 12 and obtained by the processor 13 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the obtaining process of the computer program in the electronic device 1.

[0122] The memory 12 can be used to store the computer program and / or modules. The processor 13 realizes various functions of the electronic device 1 by running or obtaining the computer program and / or modules stored in the memory 12, and calling the data stored in the memory 12. The memory 12 may mainly include a program storage area and a data storage area. Among them, the program storage area may store the operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device. In addition, the memory 12 may include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices.

[0123] The memory 12 can be an external memory and / or an internal memory of the electronic device 1. Further, the memory 12 can be a memory in physical form, such as a memory stick, a TF card (Trans-flash Card), and so on.

[0124] If the modules / units integrated in the electronic device 1 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such understanding, to implement all or part of the processes in the above-mentioned embodiment methods of the present application, it can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is obtained by a processor, the steps of the above-mentioned various method embodiments can be implemented.

[0125] Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, an obtainable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disc, a computer memory, a read-only memory (ROM, Read-Only Memory).

[0126] Combined with Figure 2 , the memory 12 in the electronic device 1 stores a plurality of instructions to implement a data processing method. The processor 13 can obtain the plurality of instructions to implement: collecting first data and second data from the patch clamp electrophysiological system, where the first data is the data generated after a plurality of scanning voltages are applied to the cell by the configured carbon fiber electrode, and the second data is the data generated after the configured stimulation electrode applies an electrical stimulation to the cell and then the configured carbon fiber electrode applies a plurality of scanning voltages to the cell; extracting target current data from the first data, and generating a first curve based on the target current data and the second data; sampling a single scanning voltage to obtain target sampling points, and generating a corresponding second curve based on the initial current data and sampling time of the plurality of target sampling points in the sampled first data or the sampled second data.

[0127] Specifically, for the specific implementation method of the processor 13 for the above instructions, reference can be made to Figure 2 the description of the relevant steps in the corresponding embodiment, which will not be elaborated here.

[0128] In several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division, and there can be other division methods in actual implementation.

[0129] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0130] In addition, in each embodiment of the present application, the functional modules can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a hardware plus software functional module.

[0131] Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present application is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present application. Any reference signs in the claims should not be construed as limiting the claimed rights.

[0132] In addition, obviously, the term "including" does not exclude other units or steps, and the singular does not exclude the plural. The multiple units or devices described in the present application can also be implemented by one unit or device through software or hardware. The terms such as "first" and "second" are used to represent names and do not represent any specific order.

[0133] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and not to limit them. Although the present application has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present application can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present application.

Claims

1. A data processing method is applied to an electronic device, which communicates with a patch clamp electrophysiological system. The patch clamp electrophysiological system includes a carbon fiber electrode and a stimulating electrode, and is characterized in that The method includes: Collecting first data and second data from the patch clamp electrophysiological system, where the first data is data generated after a configured carbon fiber electrode applies multiple scanning voltages to a cell, and the second data is data generated after a configured stimulating electrode applies an electrical stimulus to the cell and then the configured carbon fiber electrode applies multiple scanning voltages to the cell; Extracting target current data from the first data and generating a first curve based on the target current data and the second data. The first curve is a current-voltage curve, and includes generating the current-voltage curve based on multiple target current data, each scanning voltage in the second data, and the initial current data corresponding to each scanning voltage in the second data. The initial current data is the current generated when the cell transmitter of the cell undergoes an oxidation-reduction reaction under the scanning voltage and loses electrons. Each scanning voltage includes multiple scanning voltage values; The generating the current-voltage curve based on multiple target current data, each scanning voltage in the second data, and the initial current data corresponding to each scanning voltage in the second data includes: calculating the average current value of the multiple target current data, calculating the difference between the initial current data of each scanning voltage value in the second data and the average current value to obtain the current difference data corresponding to each scanning voltage value, and generating the current-voltage curve based on the multiple scanning voltage values and the current difference data corresponding to each scanning voltage value; After sampling a single scanning voltage, obtaining target sampling points, and generating a corresponding second curve based on the initial current data and sampling time of the multiple target sampling points in the sampled first data or the sampled second data.

2. The data processing method according to claim 1, wherein The voltage parameters corresponding to the multiple scanning voltages include the number of scans before stimulation. The generating method of the multiple target current data includes: Generating a target number range according to the number of scans before stimulation; Extracting the multiple target current data from the first data according to the target number range.

3. The data processing method according to claim 2, wherein The second curve is a current-time curve. The after sampling a single scanning voltage, obtaining target sampling points, and generating a corresponding second curve based on the initial current data and sampling time of the multiple target sampling points in the sampled first data or the sampled second data includes: Obtaining the sampling frequency from the patch clamp electrophysiological system; Filtering out the target sampling points corresponding to each scanning voltage from the multiple voltage sampling points generated after sampling each scanning voltage according to the sampling frequency, a preset voltage value, and the voltage parameters; Generating the current-time curve based on the first initial current data corresponding to the multiple target sampling points in the sampled first data, the sampling time corresponding to each target sampling point, and the second initial current data corresponding to the multiple target sampling points in the sampled second data.

4. The data processing method according to claim 3, wherein The current-time curve includes the current-time curve of the first data and the current-time curve of the second data. Generating the current-time curve according to the first initial current data corresponding to the multiple target sampling points in the sampled first data, the sampling time corresponding to each target sampling point, and the second initial current data corresponding to the multiple target sampling points in the sampled second data includes: Generating the current-time curve of the first data according to the first initial current data corresponding to each target sampling point and the sampling time corresponding to each target sampling point; Generating the current-time curve of the second data according to the second initial current data corresponding to each target sampling point and the sampling time corresponding to each target sampling point.

5. An electronic device, characterized in that, The electronic device includes: A memory that stores at least one instruction; and A processor that obtains the instruction stored in the memory to implement the data processing method according to any one of claims 1 to 4.

6. A computer-readable storage medium, characterized in that: At least one instruction is stored in the computer-readable storage medium, and the at least one instruction is obtained by a processor in the electronic device to implement the data processing method according to any one of claims 1 to 4.

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