阅读说明：本技术 一种用于体外神经细胞网络多参数实时监测的多通道系统 (Multi-channel system for in-vitro neural cell network multi-parameter real-time monitoring ) 是由 杨芳 鞠永旭 顾宁 于 2021-08-30 设计创作，主要内容包括：本发明公开了一种用于体外神经细胞网络多参数实时监测的多通道系统,包括二氧化碳培养箱、微电极阵列芯片、细胞生长微区及信号检测装置；所述细胞生长微区固定在微电极阵列芯片上,固定有细胞生长微区的微电极阵列芯片放置于二氧化碳培养箱中,微电极阵列芯片周围设有信号检测电极,信号检测电极连接到信号检测装置。在微电极阵列芯片上固定细胞生长微区,将神经细胞接种于微区内后贴壁生长于微电极阵列芯片表面,在培养得到体外神经网络结构的同时通过对微电极阵列芯片的信号输出采集,实现神经网络多参数信号的监测,并可以通过对网络施加刺激等,实现神经网络的特性研究,可以保持神经细胞活性至少一周。(The invention discloses a multi-channel system for in vitro neural cell network multi-parameter real-time monitoring, which comprises a carbon dioxide incubator, a microelectrode array chip, a cell growth micro-area and a signal detection device, wherein the carbon dioxide incubator is connected with the microelectrode array chip; the cell growth micro-area is fixed on the microelectrode array chip, the microelectrode array chip fixed with the cell growth micro-area is placed in a carbon dioxide incubator, signal detection electrodes are arranged around the microelectrode array chip, and the signal detection electrodes are connected to a signal detection device. Fixing a cell growth micro-area on a microelectrode array chip, inoculating nerve cells in the micro-area and then growing on the surface of the microelectrode array chip in an adherent manner, monitoring of a neural network multi-parameter signal is realized by outputting and collecting signals of the microelectrode array chip while culturing to obtain an in-vitro neural network structure, characteristic research of the neural network can be realized by applying stimulation to the network and the like, and the activity of the nerve cells can be maintained for at least one week.)

1. A multi-channel system for in vitro neural cell network multi-parameter real-time monitoring is characterized in that: comprises a carbon dioxide incubator, a microelectrode array chip, a cell growth micro-area and a signal detection device;

the cell growth micro-area is fixed on the microelectrode array chip, the microelectrode array chip fixed with the cell growth micro-area is placed in a carbon dioxide incubator, signal detection electrodes are arranged around the microelectrode array chip, and the signal detection electrodes are connected to a signal detection device.

2. The multi-channel system for in vitro neural cell network multi-parameter real-time monitoring of claim 1, wherein: the microelectrode array chip integrates four electrode structures, namely a switch electrode for current detection, a microelectrode and a reference electrode for action potential detection, an interdigital electrode for cell-electrode impedance detection and a platinum thermal resistor for temperature measurement.

3. The multi-channel system for in vitro neural cell network multi-parameter real-time monitoring of claim 1, wherein: the cell growth micro-area is processed by PDMS.

4. The multi-channel system for in vitro neural cell network multi-parameter real-time monitoring of claim 1, wherein: the switching electrode is of a micro 6 x 6 array structure, the reference electrode is a large-area electrode, and the number of the platinum thermal resistors is 4.

5. The multi-channel system for in vitro neural cell network multi-parameter real-time monitoring of claim 1, wherein: the signal detection device comprises a hardware part, a software part and an embedded system, wherein the embedded system is STM 32.

6. The multi-channel system for in vitro neural cell network multi-parameter real-time monitoring of claim 5, wherein: the hardware part comprises a spring probe, a voltage amplifying and filtering circuit, a voltage collecting circuit, a current detecting circuit, an impedance detecting circuit and a resistance detecting circuit; the spring probe is used for leading out signals of peripheral test points of the microelectrode array chip and inputting the signals into a circuit; the voltage amplifying and filtering circuit is used for amplifying and filtering the action potential so as to obtain a relatively good action potential waveform; the voltage acquisition circuit is used for converting the processed action potential from an analog signal into a digital signal for further processing and analysis; the current detection circuit is used for measuring a nerve cell current signal output by the switch electrode; the impedance detection circuit is used for detecting and analyzing cell-electrode impedance signals output by the interdigital electrodes; the resistance detection circuit is used for detecting the resistance value of the platinum thermal resistor.

7. The multi-channel system for in vitro neural cell network multi-parameter real-time monitoring of claim 5, wherein: the software part comprises a part burnt to the embedded system and an upper computer (4).

8. The multi-channel system for in vitro neural cell network multi-parameter real-time monitoring of claim 7, wherein: the part burnt to the embedded system comprises a part used for communicating with a hardware ADC for collecting voltage signals, a part used for preprocessing collected data and a part used for sending the data to an upper computer.

9. The multi-channel system for in vitro neural cell network multi-parameter real-time monitoring of claim 7, wherein: the upper computer (4) is realized through Labview, and processes multi-parameter signals sent by the embedded system and displays the signals in real time.

10. The multi-channel system for in vitro neural cell network multi-parameter real-time monitoring of claim 1, wherein: the in vitro nerve cells are neuron cells and nerve stem cells.

Technical Field

The invention relates to an in-vitro living nerve cell network monitoring device, in particular to a multi-channel system for in-vitro nerve cell network multi-parameter real-time monitoring.

Background

The brain is the highest center of human activities and has unique significance for life science, however, the cognition of human beings on brain mechanisms is still limited to a relatively macroscopic level at present, and the research on mechanism mechanisms at cellular and molecular levels is still blank. Studying the function and connectivity of brain nerve cells requires multiple signal binding assays. Temperature is one of the most important physiological parameters, cell temperature plays an important role in life activities, the temperature affects a large number of processes in cells, and the interaction from gene expression to protein is affected by the temperature, so that proper temperature control can be performed by monitoring the temperature of the cells, the biochemical process in the cells, the information transmission among the cells and the response to external biochemical intervention are all related to the energy change in the cells, and the temperature change is directly shown, so that the intracellular condition can be indirectly responded by measuring the temperature of the cells. The excitation of nerve cells can be observed and recorded in the form of electric signals as excitable cells, so that the monitoring of voltage and current signals of nerve cells can help the research of excitation characteristics and coding mechanisms of nerve cells. The cell impedance sensing technology is one of the most promising technologies for quantitatively studying cell behavior, which combines cell culture and impedance technology, can monitor the state of cells in real time and continuously during the cell culture process, and can discover the change of the cell state as soon as possible.

Disclosure of Invention

The purpose of the invention is as follows: the invention aims to provide a device capable of monitoring and acquiring parameters such as action potential, current, temperature, cell-electrode impedance and the like of an in-vitro neural network in real time.

The technical scheme is as follows: the invention relates to a multi-channel system for in vitro neural cell network multi-parameter real-time monitoring, which comprises a carbon dioxide incubator, a microelectrode array chip, a cell growth micro-area and a signal detection device, wherein the carbon dioxide incubator is connected with the microelectrode array chip;

the cell growth micro-area is fixed on the microelectrode array chip, the microelectrode array chip fixed with the cell growth micro-area is placed in a carbon dioxide incubator, signal detection electrodes are arranged around the microelectrode array chip, and the signal detection electrodes are connected to a signal detection device.

Furthermore, the microelectrode array chip integrates four electrode structures, namely a switch electrode for current detection, a microelectrode and a reference electrode for action potential detection, an interdigital electrode for cell-electrode impedance detection and a platinum thermal resistor for temperature measurement. The cell growth micro-area is processed by PDMS. The switching electrode is of a micro 6 x 6 array structure, the reference electrode is a large-area electrode, and the number of the platinum thermal resistors is 4. The in vitro nerve cells are neuron cells and nerve stem cells.

Furthermore, the hardware part comprises a spring probe, a voltage amplifying and filtering circuit, a voltage collecting circuit, a current detecting circuit, an impedance detecting circuit and a resistance detecting circuit; the spring probe is used for leading out signals of peripheral test points of the microelectrode array chip and inputting the signals into a circuit; the voltage amplifying and filtering circuit is used for amplifying and filtering the action potential so as to obtain a relatively good action potential waveform; the voltage acquisition circuit is used for converting the processed action potential from an analog signal into a digital signal for further processing and analysis; the current detection circuit is used for measuring a nerve cell current signal output by the switch electrode; the impedance detection circuit is used for detecting and analyzing cell-electrode impedance signals output by the interdigital electrodes; the resistance detection circuit is used for detecting the resistance value of the platinum thermal resistor. The software part comprises a part burnt to the embedded system and an upper computer.

Further, the part burned into the embedded system comprises a part used for communicating with a hardware ADC for collecting voltage signals, a part used for preprocessing collected data and a part used for sending the data to an upper computer. The upper computer is realized by Labview and is used for processing multi-parameter signals sent by the embedded system and displaying the processed signals in real time.

The device fixes a cell growth micro-area on a microelectrode array chip, inoculates nerve cells in the micro-area and then grows on the surface of the microelectrode array chip in an adherent manner, and can realize the monitoring of multi-parameter signals of a nerve network by outputting and collecting signals of the microelectrode array chip while obtaining an in-vitro nerve network structure by culture, and realize the characteristic research of the nerve network by applying stimulation and the like to the network, the whole process is carried out in a non-invasive manner, and the activity of the nerve cells can be maintained for at least one week. The device can solve some limitations in the current brain science research process, and provides a research method for multi-parameter integration analysis of an in vitro neural network.

Has the advantages that: compared with the prior art, the invention has the following advantages: the device can monitor parameters such as action potential, current, temperature, cell-electrode impedance and the like of the cell in real time, is simple to operate, can display action potential signals in real time to observe the excitation condition of the nerve cell, has high time resolution and spatial resolution, works stably, can observe the result in real time by upper computer software, and is convenient to use.

Drawings

FIG. 1 is a schematic diagram of a system architecture;

FIG. 2 is a schematic diagram showing the overall structure of a microelectrode array chip;

FIG. 3 is a schematic diagram showing the structure of each electrode of the micro-electrode array chip, wherein (a) is a switching electrode, (b) is a micro-electrode for action potential detection, and (c) is an interdigitated electrode;

FIG. 4 is a photomicrograph of neural cells grown on a chip;

FIG. 5 is a diagram of neural cell action potentials detected by the system;

FIG. 6 is a graph of the temperature of the nerve cells measured by a platinum thermistor and temperature detection circuit.

Detailed Description

When the device is used, nerve cells are inoculated on the coated platinum thermistor, the temperature of the cells can be measured in real time in the whole growth process of the cells, the time can be kept for more than 7 days, and the result is shown in figure 6.

Referring to fig. 1-6, the multi-channel system for real-time monitoring of multiple parameters of an in vitro neural cell network of the present embodiment includes a carbon dioxide incubator, a microelectrode array chip, a cell growth micro-area, and a signal detection device;

the cell growth micro-area is fixed on the microelectrode array chip, the microelectrode array chip fixed with the cell growth micro-area is placed in a carbon dioxide incubator, and signal detection electrodes are arranged around the microelectrode array chip and connected to a signal detection device.

The microelectrode array chip integrates four electrode structures, namely a switch electrode for current detection, a microelectrode and a reference electrode for action potential detection, an interdigital electrode for cell-electrode impedance detection and a platinum thermal resistor for temperature measurement. The cell growth micro-area is processed by PDMS. The micro 6X 6 array structure of the switch electrode, the micro 6X 6 array structure of the micro electrode, the reference electrode is a large-area electrode, and the number of the platinum thermal resistors is 4. The in vitro nerve cells are neuron cells and nerve stem cells.

The hardware part comprises a spring probe, a voltage amplifying and filtering circuit, a voltage collecting circuit, a current detecting circuit, an impedance detecting circuit and a resistance detecting circuit; the spring probe is used for leading out signals of peripheral test points of the microelectrode array chip and inputting the signals into a circuit; the voltage amplifying and filtering circuit is used for amplifying and filtering the action potential so as to obtain a relatively good action potential waveform; the voltage acquisition circuit is used for converting the processed action potential from an analog signal into a digital signal for further processing and analysis; the current detection circuit is used for measuring a nerve cell current signal output by the switch electrode; the impedance detection circuit is used for detecting and analyzing cell-electrode impedance signals output by the interdigital electrodes; the resistance detection circuit is used for detecting the resistance value of the platinum thermal resistor. The software part comprises a part burnt to the embedded system and an upper computer (4).

The part burnt to the embedded system comprises a part used for communicating with a hardware ADC for collecting voltage signals, a part used for preprocessing collected data and a part used for sending the data to an upper computer. The upper computer (4) is realized through Labview, and processes multi-parameter signals sent by the embedded system and displays the signals in real time.

The embedded system is STM32F 407. The upper computer is developed and obtained based on Labview and comprises a data processing and displaying part.

As shown in fig. 1, the micro-electrode 1 for cell culture and signal measurement: before inoculating nerve cells, establishing a cell growth micro-area on the chip by curing PDMS (polydimethylsiloxane), performing biological coating to promote cell attachment, and then inoculating the nerve cells; carbon dioxide incubator 2: after being inoculated on the chip, the cells are placed in an incubator for culture; signal processing and acquisition section 3: the device comprises a hardware circuit and acquisition and control software burnt in an embedded system, after a good neural cell network structure is obtained after cell culture for about one week, the device can be used for preliminary processing of cell action potential, current, cell-electrode impedance and cell temperature in a network, and the software burnt in STM32 is used for controlling the whole system to work to realize related functions and sending acquired signals to an upper computer; and (4) upper computer software: the signal sent by STM32 is further processed and displayed to aid analysis.

Partitioning a microelectrode array chip by PDMS, coating the chip by poly-L-lysine, inoculating nerve cells on the microelectrode of the electric signal measurement area, culturing to obtain a nerve cell network structure, and observing the action potential of the cells by applying stimulation, wherein the growth condition and the action potential of the cells are shown in fig. 4 and 5.

The signal transmission process of the device is as follows: the signal of the nerve cell is connected to the peripheral test point by the MEA, and is output to the hardware circuit through the spring probe. The action potential signal input to the hardware circuit is amplified, filtered and subjected to analog-to-digital conversion to obtain a corresponding digital signal; the resistance value of the platinum thermal resistor is detected by the resistance measuring circuit according to the temperature signal; the current signal is detected by a current measuring circuit to obtain the nerve cell current; the cell-electrode impedance signals are detected by an impedance measuring circuit, and the four signals are collected by the STM32 and sent to an upper computer for further processing and displaying.

The use method of the device is as follows:

curing and processing PDMS on a microelectrode array chip, performing biological coating, inoculating primary nerve cells on the microelectrode array chip, putting the microelectrode array chip into an incubator for culture, performing half-liquid change for three days, and performing signal monitoring after obtaining a good neural network structure about one week. When the system is used, the system is powered, the conditions of all parameters can be observed in real time when the system is connected to the upper computer, the system can be used for analyzing and recording the cell state in the growth process of nerve cells, analyzing the reaction of a grown nerve network under external stimulation of biology, physics, chemistry and the like, and researching biosensors or a nerve coding mechanism.