CN102727197B - Cell activity detection method - Google Patents
Cell activity detection method Download PDFInfo
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- CN102727197B CN102727197B CN201210196626.5A CN201210196626A CN102727197B CN 102727197 B CN102727197 B CN 102727197B CN 201210196626 A CN201210196626 A CN 201210196626A CN 102727197 B CN102727197 B CN 102727197B
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Abstract
The invention provides a cell activity detection method, which comprises the following steps that 1, a detection device is provided; 2, a power supply of the detection device is conducted; 3, electrode arrays are placed at one side of the wrist, and a public electrode is placed at the other side of the wrist; 4, a microprocessor controls a plurality of electrode arrays to be sequentially conducted with the public electrode, and current I passing through the public electrode and corresponding voltage U0 of the electrode arrays are correspondingly collected; 5, a microprocessor calculates the human body voltage U and the human body resistance R according to a formula, and in addition, the human body resistance R corresponding to each electrode array is stored into a storage module; 6, the microprocessor counts the number of the electrode arrays of each resistance section, makes a statistical diagram and calculates the cell activity index, and the statistical diagram and the activity index are displayed onto a display module. The method has the advantages that the operation is simple and convenient, the cost is low, the reagent preparation is not needed, and the method can be perfectly applied to simple household medical equipment and can perfectly meet the requirement of people in daily life.
Description
Technical field
The present invention relates to the detection of cell viability, particularly relate to a kind of method utilizing cell conductivity detection cell viability.
Background technology
China's pulse wave spectrum of several thousand, history is of long standing and well established, leaves the medical skill experience that descendant is priceless for.Along with the transition in epoch, the progress of science and the development of biological subject, the health and fitness information of human body can carry out the health status of human body with Medical Instruments, equipment.
The method of detection cell viability conventional at present has: MTT method, CCK-8 method (Cell CountingKit-8) and XTT method etc.The principle that those methods adopt is all dye to cell, the quantity of statistics living cells, thus judge the vigor of cell, but those methods all relate to the preparation of staining reagent, some reagent needs cryopreservation or now with the current, and trouble is complicated, and dyeing time is restive, dyeing time is too short, painted not comprehensive; Dyeing time is oversize, and part living cells also can be painted.Whole detecting step flow process is complicated, costly, is difficult to be advantageously applied to Simple domestic armarium, cannot meets the daily need of people.
Summary of the invention
The object of the present invention is to provide a kind of cell activity detection method, it is simple to operation, and expense is low, without the need to preparing reagent, can be advantageously applied to simple home armarium, can meet people's daily need well.
For achieving the above object, the invention provides a kind of cell activity detection method, it comprises the following steps:
Step 1, provide a checkout gear, described checkout gear comprises: microprocessor, the connection in series-parallel modular converter is electrically connected with microprocessor, the several electrod-arrays is electrically connected with connection in series-parallel modular converter, the analog-to-digital converting module is electrically connected with microprocessor and electrod-array, and analog-to-digital converting module be electrically connected signal acquisition module, and signal acquisition module be electrically connected public electrode, and the memory module that is electrically connected of microprocessor and the display module that is electrically connected with microprocessor;
Step 2, connect the power supply of described checkout gear;
Step 3, described several electrod-array is positioned over the side of wrist, and described public electrode is positioned over the opposite side of wrist;
The several electrod-array of step 4, Microprocessor S3C44B0X successively with public electrode conducting, and correspondingly gather the voltage U by the electric current I of public electrode and the electrod-array of correspondence
0;
Step 5, microprocessor calculate body voltages U according to formula 1, calculate human body resistance R according to formula 2, and human body resistance R corresponding for each electrod-array is stored in a storage module, and described formula 1 is U=3.3V-U
0, described formula 2 is R=U/I;
The number of poles of each resistive segments added up by step 6, microprocessor, makes statistical graph, and calculates cell viability index by algorithm, and statistical graph and vitality index are presented on display module, and the scope of described resistive segments sets according to actual needs.
Described signal acquisition module is to the voltage U of the electric current I of public electrode and the electrod-array of correspondence
0gather.
Described checkout gear also comprises the communication module be electrically connected with microprocessor, and described communication module is used for communicating to connect with outer computer, and statistical graph and cell viability index are sent to outer computer.
Described communication module is wireless communication module.
Described communication module is wire communication module.
Statistical graph described in step 6 is resistance value-electrod-array number normal distribution curve, can be calculated the average of this normal distribution curve by algorithm.
The corresponding relation of average and cell viability index is stored in advance in described memory module.
Described step 6 comprises searches corresponding cell viability index by average.
Described checkout gear also comprises the weak mains that a NMOS base switch and one and NMOS base switch are electrically connected, and described NMOS base switch is used to open or close the weak mains of described public electrode.
Beneficial effect of the present invention: cell activity detection method of the present invention is by utilizing the electric conductivity of human body cell, the quantity of electrod-array and the normal distribution curve of human body resistance value section in resistive segments is formed by the resistance of multiple electrod-array human body, calculate the average of this normal distribution curve, thus draw cell viability index, this cell activity detection method is simple to operation, expense is low, whole testing process is without the need to preparing reagent, can be advantageously applied in simple home armarium, people's daily need can be met well.
In order to further understand feature of the present invention and technology contents, refer to following detailed description for the present invention and accompanying drawing, but accompanying drawing only provides reference and explanation use, is not used for being limited the present invention.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, by the specific embodiment of the present invention describe in detail, will make technical scheme of the present invention and other beneficial effect apparent.
In accompanying drawing,
Fig. 1 is the flow chart of cell activity detection method of the present invention;
Fig. 2 is the module map of cell activity detection method of the present invention;
Fig. 3 is the schematic diagram of resistance value in cell activity detection method of the present invention-electrod-array number normal distribution curve.
Detailed description of the invention
For further setting forth the technological means and effect thereof that the present invention takes, be described in detail below in conjunction with the preferred embodiments of the present invention and accompanying drawing thereof.
Refer to Fig. 1 to 2, the invention provides a kind of cell activity detection method, it comprises the following steps:
Step 1, provide a checkout gear, described checkout gear comprises: microprocessor 70, the connection in series-parallel modular converter 94 is electrically connected with microprocessor 70, the several electrod-arrays 40 is electrically connected with connection in series-parallel modular converter 94, the analog-to-digital converting module 92 is electrically connected with microprocessor 70 and electrod-array 40, and analog-to-digital converting module 92 be electrically connected signal acquisition module 90, and signal acquisition module 90 be electrically connected public electrode 60, and the memory module 20 that is electrically connected of microprocessor 70 and the display module 10 that is electrically connected with microprocessor 70;
Described analog-to-digital converting module 92 is for carrying out the conversion of digital signal and analogue signal, and described connection in series-parallel modular converter 94 is for carrying out gating conducting control to several electrod-array 40.
Described checkout gear also comprises the weak mains 96 that a NMOS base switch 90 and one and NMOS base switch 90 are electrically connected, utilize conducting or the cut-off of microprocessor 70 control NMOS base switch 90, thus open or close the weak mains of public electrode 60, during conducting, NMOS base switch 90 resistance is little, efficiency is high, voltage endurance capability is strong, energy-saving safe.Described weak mains 96 provides power supply to whole measure loop, adopts weak mains 96 voltage lower, safety, harmless to human body.
Described microprocessor 70 also carries out the date processing such as the computing of human body resistance, the statistical calculation of electrod-array number and normal curve functional operation, and existing ARM chip is chosen in choosing of this microprocessor 70 according to actual needs.
Step 2, connect the power supply of described checkout gear;
Step 3, described several electrod-array 40 is positioned over the side of wrist 50, and described public electrode 60 is positioned over the opposite side of wrist 50;
Described several electrod-array 40 is positioned over the side of wrist 50, and described public electrode 60 is positioned over the opposite side of wrist 50, several electrod-arrays 40 now in electrod-array 40 are in relative position with public electrode 60, and described several electrod-array 40 all can form closed-loop path with wrist 50 (human body), public electrode 60.
Step 4, microprocessor 70 control several electrod-array 40 successively with public electrode 60 conducting, and correspondingly gather the voltage U by the electric current I of public electrode 60 and the electrod-array 40 of correspondence
0;
Described checkout gear comprises a signal acquisition module 80 be electrically connected with microprocessor 70 and public electrode 60, and described microprocessor 70 is by the voltage U of the electric current I of described signal acquisition module 80 pairs of public electrodes 60 and the electrod-array 40 of correspondence
0gather.When microprocessor 70 control several electrod-array 40 successively with wrist (human body) and public electrode 60 conducting, formed while closed-loop path, correspondingly to the voltage U of the electric current I of public electrode 60 and the electrod-array 40 of conducting
0gather, and the information collected is sent to analog-to-digital converting module 92, after analog/digital conversion, send microprocessor 70 to.
Step 5, microprocessor 70 calculate body voltages U according to formula 1, calculate human body resistance R according to formula 2, and the human body resistance R of each electrod-array 40 correspondence is stored in memory module 20, and described formula 1 is U=3.3V-U
0, described formula 2 is R=U/I;
Described body voltages U is the magnitude of voltage between the electrod-array 40 of human body wrist 50 place's conducting and public electrode 60.
Described formula 1 and 2 is stored in memory module 20 in advance, after described microprocessor 70 receives the information of collection, from memory module 20, directly calls this formula 1 and 2 carry out computing.
Electrod-array 40 number of each resistive segments of human body resistance value R added up by step 6, microprocessor 70, make statistical graph, and calculating cell viability index by algorithm, statistical graph and vitality index are presented on display module 10, and the magnitude range of described resistive segments sets according to actual needs.
After the equal conducting of described all electrod-arrays 40, described microprocessor 70 adds up electrod-array 40 quantity of each resistive segments according to the resistive segments of the human body resistance R pre-set, and make resistance value-electrod-array number normal distribution curve statistical graph according to electrod-array 40 quantity of resistance value and each resistive segments, as shown in Figure 3, the average of this normal distribution curve is calculated by algorithm, corresponding cell viability index is searched by average in memory module 20, as shown in Figure 3, the cell viability index of normal distribution curve a is greater than the cell viability index of normal distribution curve b, and the cell viability index of normal distribution curve b is greater than the cell viability index of normal distribution curve c.The corresponding relation of described average and cell viability index stores in advance with memory module 20.
Described checkout gear also comprises a communication module 30 be electrically connected with microprocessor 70, this communication module 30 is for communicating to connect with outer computer (not shown), statistical graph and cell viability index can be sent to outer computer by described communication module 30, described communication module 30 is wire communication module.Described communication module 30 also can be wireless communication module, as wifi, bluetooth, infrared and GPRS etc., by wireless network, statistical graph and cell viability index are sent to outer computer, like this, this statistical graph and cell viability index both can with on the display modules 10 of this checkout gear, also can show with outer computer, easy to use and flexible.
In sum, the invention provides a kind of cell activity detection method, by utilizing the electric conductivity of human body cell, the quantity of electrod-array and the normal distribution curve of human body resistance value section in resistive segments is formed by the resistance of multiple electrod-array human body, calculate the average of this normal distribution curve, thus draw cell viability index, this cell activity detection method is simple to operation, expense is low, whole testing process is without the need to preparing reagent, can be advantageously applied in simple home armarium, people's daily need can be met well.
The above, for the person of ordinary skill of the art, can make other various corresponding change and distortion according to technical scheme of the present invention and technical conceive, and all these change and be out of shape the protection domain that all should belong to the claims in the present invention.
Claims (7)
1. a cell activity detection method, is characterized in that, comprises the following steps:
Step 1, provide a checkout gear, described checkout gear comprises: microprocessor, the connection in series-parallel modular converter is electrically connected with microprocessor, the several electrod-arrays is electrically connected with connection in series-parallel modular converter, the analog-to-digital converting module is electrically connected with microprocessor and electrod-array, and analog-to-digital converting module be electrically connected signal acquisition module, and signal acquisition module be electrically connected public electrode, and the memory module that is electrically connected of microprocessor and the display module that is electrically connected with microprocessor;
Step 2, connect the power supply of described checkout gear;
Step 3, described several electrod-array is positioned over the side of wrist, and described public electrode is positioned over the opposite side of wrist;
The several electrod-array of step 4, Microprocessor S3C44B0X successively with public electrode conducting, and correspondingly gather the voltage U by the electric current I of public electrode and the electrod-array of correspondence
0;
Step 5, microprocessor calculate body voltages U according to formula 1, calculate human body resistance R according to formula 2, and human body resistance R corresponding for each electrod-array is stored in a storage module, and described formula 1 is U=3.3V-U
0, described formula 2 is R=U/I;
The number of poles of each resistive segments added up by step 6, microprocessor, makes statistical graph, and calculates cell viability index by algorithm, and statistical graph and vitality index are presented on display module, and the scope of described resistive segments sets according to actual needs;
Described statistical graph is resistance value-electrod-array number normal distribution curve, is calculated the average of this normal distribution curve by algorithm, searches corresponding cell viability index in a storage module by average.
2. cell activity detection method as claimed in claim 1, is characterized in that, described signal acquisition module is to the voltage U of the electric current I of public electrode and the electrod-array of correspondence
0gather.
3. cell activity detection method as claimed in claim 1, it is characterized in that, described checkout gear also comprises the communication module be electrically connected with microprocessor, and described communication module is used for communicating to connect with outer computer, and statistical graph and cell viability index are sent to outer computer.
4. cell activity detection method as claimed in claim 3, it is characterized in that, described communication module is wireless communication module.
5. cell activity detection method as claimed in claim 3, it is characterized in that, described communication module is wire communication module.
6. cell activity detection method as claimed in claim 1, is characterized in that, store the corresponding relation of average and cell viability index in described memory module in advance.
7. cell activity detection method as claimed in claim 1, it is characterized in that, described checkout gear also comprises the weak mains that a NMOS base switch and one and NMOS base switch are electrically connected, and described NMOS base switch is used to open or close the weak mains of described public electrode.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210196626.5A CN102727197B (en) | 2012-06-14 | 2012-06-14 | Cell activity detection method |
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|---|---|---|---|
| CN201210196626.5A CN102727197B (en) | 2012-06-14 | 2012-06-14 | Cell activity detection method |
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| CN102727197B true CN102727197B (en) | 2015-02-18 |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1308504A (en) * | 1998-07-06 | 2001-08-15 | 亚历山大·帕斯特尔 | Apparatus for evaluation of skin impedance variations |
| CN1308920A (en) * | 1999-12-28 | 2001-08-22 | 株式会社百利达 | Apparatus for determining recovery level of disease location |
| CN101038284A (en) * | 2007-04-25 | 2007-09-19 | 博奥生物有限公司 | Method for enhancing electric impedance detecting sensibility of electric impedance detecting device |
| CN101431938A (en) * | 2006-03-18 | 2009-05-13 | 迈克尔·G·辛格 | Method and system for determining freshness and palatability and assessing organ vitality |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1192898B1 (en) * | 2000-10-02 | 2006-02-15 | Tanita Corporation | Apparatus for managing female physical condition |
| EP1205540A1 (en) * | 2000-11-10 | 2002-05-15 | Evotec OAI AG | Method of measuring cell vitality |
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2012
- 2012-06-14 CN CN201210196626.5A patent/CN102727197B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1308504A (en) * | 1998-07-06 | 2001-08-15 | 亚历山大·帕斯特尔 | Apparatus for evaluation of skin impedance variations |
| CN1308920A (en) * | 1999-12-28 | 2001-08-22 | 株式会社百利达 | Apparatus for determining recovery level of disease location |
| CN101431938A (en) * | 2006-03-18 | 2009-05-13 | 迈克尔·G·辛格 | Method and system for determining freshness and palatability and assessing organ vitality |
| CN101038284A (en) * | 2007-04-25 | 2007-09-19 | 博奥生物有限公司 | Method for enhancing electric impedance detecting sensibility of electric impedance detecting device |
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