CN102727197A - Cell activity detection method - Google Patents

Cell activity detection method Download PDF

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Publication number
CN102727197A
CN102727197A CN2012101966265A CN201210196626A CN102727197A CN 102727197 A CN102727197 A CN 102727197A CN 2012101966265 A CN2012101966265 A CN 2012101966265A CN 201210196626 A CN201210196626 A CN 201210196626A CN 102727197 A CN102727197 A CN 102727197A
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cell viability
microprocessor
electrod
detection method
module
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CN2012101966265A
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CN102727197B (en
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刘新
张伟
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Shenzhen Launch Technology Co Ltd
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Shenzhen Launch Technology Co Ltd
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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

The cell viability detection method
Technical field
The present invention relates to the detection of cell viability, relate in particular to a kind of method of utilizing cell conductivity detection cell viability.
Background technology
China's pulse wave spectrum in several thousand, historical of long standing and well established, leave the priceless medical skill experience of descendant for.Along with transition of age, the progress of science and biological subject development, the health and fitness information of human body can come the health status of human body with Medical Instruments, equipment.
The method of detection cell viability commonly used has at present: MTT method, CCK-8 method (Cell CountingKit-8) and XTT method etc.The principle that those methods adopt all is that pair cell dyes, the quantity of statistics living cells, thereby the vigor of judgement cell; But those methods all relate to the preparation of staining reagent; Some reagent needs cryopreservation or joins usedly at present, and trouble is complicated, and dyeing time is restive; Dyeing time is too short, and is painted not comprehensive; Dyeing time is oversize, and the part living cells also can be painted.Whole detection steps flow chart is complicated, and expense is high, is difficult to be advantageously applied to simple and easy home medical equipment, can't satisfy people's daily need.
Summary of the invention
The object of the present invention is to provide a kind of cell viability detection method, it is simple to operation, and expense is low, need not to prepare reagent, can be advantageously applied to the simple home armarium, can satisfy people's daily need well.
For realizing above-mentioned purpose, the present invention provides a kind of cell viability detection method, and it may further comprise the steps:
Step 1, a checkout gear is provided, said checkout gear comprises: microprocessor, the connection in series-parallel modular converter that electrically connects with microprocessor, several electrod-arrays that electrically connect with the connection in series-parallel modular converter, the analog-to-digital converting module that electrically connects with microprocessor and electrod-array, the signal acquisition module that electrically connects with analog-to-digital converting module, the public electrode that electrically connects with signal acquisition module, the memory module that electrically connects with microprocessor and the display module that electrically connects with microprocessor;
The power supply of step 2, the said checkout gear of connection;
Step 3, said several electrod-arrays are positioned over a side of wrist, and said public electrode is positioned over the opposite side of wrist;
Several electrod-arrays of step 4, microprocessor control successively with the public electrode conducting, and correspondingly gather electric current I and the voltage U of corresponding electrod-array through public electrode 0
Step 5, microprocessor calculate body voltages U according to formula 1, calculate human body resistance R according to formula 2, and are stored in the corresponding human body resistance R of each electrod-array in the memory module, and said formula 1 is U=3.3V-U 0, said formula 2 is R=U/I;
The number of poles of step 6, each resistive segments of microprocessor statistics is made statistical graph, and is calculated the cell viability index through algorithm, is presented at statistical graph and vitality index on the display module, and the scope of said resistive segments is set according to actual needs.
Said signal acquisition module is to the voltage U of the electric current I of public electrode and corresponding electrod-array 0Gather.
Said checkout gear also comprises the communication module that electrically connects with microprocessor, and said communication module is used for communicating with outer computer and is connected, and statistical graph and cell viability index are sent to outer computer.
Said communication module is a wireless communication module.
Said communication module is a wire communication module.
Statistical graph described in the step 6 is resistance value-electrod-array number normal distribution curve, can calculate the average of this normal distribution curve through algorithm.
Store average and the exponential corresponding relation of cell viability in the said memory module in advance.
Comprise in the said step 6 through average and search corresponding cell viability index.
Said checkout gear also comprises a NMOS base switch and one and the weak mains that electrically connects of NMOS base switch, and said NMOS base switch is used to open or close the weak mains of said public electrode.
Beneficial effect of the present invention: cell viability detection method of the present invention is through utilizing the electric conductivity of human body cell; Resistance through a plurality of electrod-array human body forms the quantity of electrod-array in the resistive segments and the normal distribution curve of human body resistance value section; Calculate the average of this normal distribution curve, thereby draw the cell viability index, this cell viability detection method is simple to operation; Expense is low; Whole testing process need not to prepare reagent, can be advantageously applied in the simple home armarium, can satisfy people's daily need well.
In order further to understand characteristic of the present invention and technology contents, see also following about detailed description of the present invention and accompanying drawing, yet accompanying drawing only provide reference and the explanation usefulness, be not to be used for the present invention is limited.
Description of drawings
Below in conjunction with accompanying drawing, describe in detail through specific embodiments of the invention, will make technical scheme of the present invention and other beneficial effect obvious.
In the accompanying drawing,
Fig. 1 is the flow chart of cell viability detection method of the present invention;
Fig. 2 is the module map of cell viability detection method of the present invention;
Fig. 3 is the sketch map of resistance value-electrod-array number normal distribution curve in the cell viability detection method of the present invention.
The specific embodiment
Technological means and the effect thereof taked for further setting forth the present invention are described in detail below in conjunction with the preferred embodiments of the present invention and accompanying drawing thereof.
See also Fig. 1 to 2, the present invention provides a kind of cell viability detection method, and it may further comprise the steps:
Step 1, a checkout gear is provided, said checkout gear comprises: microprocessor 70, the connection in series-parallel modular converter 94 that electrically connects with microprocessor 70, several electrod-arrays 40 that electrically connect with connection in series-parallel modular converter 94, the analog-to-digital converting module 92 that electrically connects with microprocessor 70 and electrod-array 40, the signal acquisition module 90 that electrically connects with analog-to-digital converting module 92, the public electrode 60 that electrically connects with signal acquisition module 90, the memory module 20 that electrically connects with microprocessor 70 and the display module 10 that electrically connects with microprocessor 70;
Said analog-to-digital converting module 92 is used to carry out the conversion of digital signal and analogue signal, and said connection in series-parallel modular converter 94 is used for several electrod-arrays 40 are carried out gating conducting control.
Said checkout gear also comprises a NMOS base switch 90 and one and the weak mains 96 that electrically connects of NMOS base switch 90; Utilize the conducting of microprocessor 70 control NMOS base switches 90 or end; Thereby open or close the weak mains of public electrode 60, NMOS base switch 90 resistance are little during conducting, and efficient is high; Voltage endurance capability is strong, energy-saving safe.Said weak mains 96 provides power supply for whole detection loop, adopts weak mains 96 voltages lower, and safety is harmless to human body.
Said microprocessor 70 also carries out the date processing such as statistical calculation and normal curve functional operation of computing, the electrod-array number of human body resistance, and existing ARM chip is chosen in choosing of this microprocessor 70 according to actual needs.
The power supply of step 2, the said checkout gear of connection;
Step 3, said several electrod-arrays 40 are positioned over a side of wrist 50, and said public electrode 60 is positioned over the opposite side of wrist 50;
Said several electrod-arrays 40 are positioned over a side of wrist 50; And said public electrode 60 is positioned over the opposite side of wrist 50; This moment, several electrod-arrays 40 in the electrod-array 40 were in relative position with public electrode 60, said several electrod-arrays 40 all can with wrist 50 (human body), public electrode 60 formation closed-loop paths.
Step 4, microprocessor 70 several electrod-arrays 40 of control successively with public electrode 60 conductings, and correspondingly gather electric current I and the voltage U of corresponding electrod-array 40 through public electrode 60 0
Said checkout gear comprises the signal acquisition module 80 that electrically connects with microprocessor 70 and public electrode 60, the electric current I of said microprocessor 70 through 80 pairs of public electrodes 60 of said signal acquisition module, and the voltage U of the electrod-array 40 of correspondence 0Gather.When several electrod-arrays 40 of microprocessor 70 control successively with wrist (human body) and public electrode 60 conductings, when forming the closed-loop path, correspondingly to the voltage U of the electrod-array 40 of the electric current I of public electrode 60 and conducting 0Gather, and send the information that collects to analog-to-digital converting module 92, send microprocessor 70 to through after the analog/digital conversion.
Step 5, microprocessor 70 calculate body voltages U according to formula 1, calculate human body resistance R according to formula 2, and are stored in each electrod-array 40 corresponding human body resistance R in the memory module 20, and said formula 1 is U=3.3V-U 0, said formula 2 is R=U/I;
Said body voltages U is the magnitude of voltage of 60 of electrod-array 40 and the public electrodes of human body wrist 50 places conducting.
Said formula 1 and 2 is stored in the memory module 20 in advance, after said microprocessor 70 receives the information of collection, directly from memory module 20, calls this formula 1 and 2 and carries out computing.
Electrod-array 40 numbers of step 6, microprocessor 70 each resistive segments of statistics human body resistance value R; Make statistical graph; And calculate the cell viability index through algorithm, and being presented at statistical graph and vitality index on the display module 10, the magnitude range of said resistive segments is set according to actual needs.
After said all electrod-array 40 equal conductings; Said microprocessor 70 is according to electrod-array 40 quantity of each resistive segments of resistive segments statistics of the human body resistance R that is provided with in advance; 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; Calculate the average of this normal distribution curve through algorithm, in memory module 20, search corresponding cell viability index through average, 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 exponential corresponding relation of said average and cell viability store in advance with memory module 20 in.
Said checkout gear also comprises the communication module 30 that electrically connects with microprocessor 70; This communication module 30 is used for communicating with outer computer (not shown) and is connected; Can statistical graph and cell viability index be sent to outer computer through said communication module 30, said communication module 30 is a wire communication module.Said communication module 30 also can be wireless communication module; Like wifi, bluetooth, infrared and GPRS etc.; Send to outer computer to statistical graph and cell viability index through wireless network, like this, this statistical graph and cell viability index both can have been used on the display module 10 of this checkout gear; Also can show with outer computer, easy to use flexible.
In sum, the present invention provides a kind of cell viability detection method, through utilizing the electric conductivity of human body cell; Resistance through a plurality of electrod-array human body forms the quantity of electrod-array in the resistive segments and the normal distribution curve of human body resistance value section; Calculate the average of this normal distribution curve, thereby draw the cell viability index, this cell viability detection method is simple to operation; Expense is low; Whole testing process need not to prepare reagent, can be advantageously applied in the simple home armarium, can satisfy people's daily need well.
The above for the person of ordinary skill of the art, can make other various corresponding changes and distortion according to technical scheme of the present invention and technical conceive, and all these changes and distortion all should belong to the protection domain of claim of the present invention.

Claims (9)

1. a cell viability detection method is characterized in that, may further comprise the steps:
Step 1, a checkout gear is provided, said checkout gear comprises: microprocessor, the connection in series-parallel modular converter that electrically connects with microprocessor, several electrod-arrays that electrically connect with the connection in series-parallel modular converter, the analog-to-digital converting module that electrically connects with microprocessor and electrod-array, the signal acquisition module that electrically connects with analog-to-digital converting module, the public electrode that electrically connects with signal acquisition module, the memory module that electrically connects with microprocessor and the display module that electrically connects with microprocessor;
The power supply of step 2, the said checkout gear of connection;
Step 3, said several electrod-arrays are positioned over a side of wrist, and said public electrode is positioned over the opposite side of wrist;
Several electrod-arrays of step 4, microprocessor control successively with the public electrode conducting, and correspondingly gather electric current I and the voltage U of corresponding electrod-array through public electrode 0
Step 5, microprocessor calculate body voltages U according to formula 1, calculate human body resistance R according to formula 2, and are stored in the corresponding human body resistance R of each electrod-array in the memory module, and said formula 1 is U=3.3V-U 0, said formula 2 is R=U/I;
The number of poles of step 6, each resistive segments of microprocessor statistics is made statistical graph, and is calculated the cell viability index through algorithm, is presented at statistical graph and vitality index on the display module, and the scope of said resistive segments is set according to actual needs.
2. cell viability detection method as claimed in claim 1 is characterized in that, said signal acquisition module is to the voltage U of the electric current I of public electrode and corresponding electrod-array 0Gather.
3. cell viability detection method as claimed in claim 1; It is characterized in that; Said checkout gear also comprises the communication module that electrically connects with microprocessor, and said communication module is used for communicating with outer computer and is connected, and statistical graph and cell viability index are sent to outer computer.
4. cell viability detection method as claimed in claim 3 is characterized in that, said communication module is a wireless communication module.
5. cell viability detection method as claimed in claim 3 is characterized in that, said communication module is a wire communication module.
6. cell viability detection method as claimed in claim 1 is characterized in that, statistical graph described in the step 6 is resistance value-electrod-array number normal distribution curve, can calculate the average of this normal distribution curve through algorithm.
7. cell viability detection method as claimed in claim 6 is characterized in that, stores average and the exponential corresponding relation of cell viability in the said memory module in advance.
8. cell viability detection method as claimed in claim 6 is characterized in that, comprises in the said step 6 through average searching corresponding cell viability index.
9. cell viability detection method as claimed in claim 1; It is characterized in that; Said checkout gear also comprises a NMOS base switch and one and the weak mains that electrically connects of NMOS base switch, and said NMOS base switch is used to open or close the weak mains of said public electrode.
CN201210196626.5A 2012-06-14 2012-06-14 Cell activity detection method Active CN102727197B (en)

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Citations (6)

* Cited by examiner, † Cited by third party
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
US20020013521A1 (en) * 2000-02-10 2002-01-31 Tanita Corporation Female physical condition managing apparatus
US20040053211A1 (en) * 2000-11-10 2004-03-18 Gabriele Gradl Method for measuring the vitality of cells
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

Patent Citations (6)

* Cited by examiner, † Cited by third party
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
US20020013521A1 (en) * 2000-02-10 2002-01-31 Tanita Corporation Female physical condition managing apparatus
US20040053211A1 (en) * 2000-11-10 2004-03-18 Gabriele Gradl Method for measuring the vitality of cells
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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