CN103914695A - Device and method for micro-electrophoresis image recognition - Google Patents
Device and method for micro-electrophoresis image recognition Download PDFInfo
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- CN103914695A CN103914695A CN201410168848.5A CN201410168848A CN103914695A CN 103914695 A CN103914695 A CN 103914695A CN 201410168848 A CN201410168848 A CN 201410168848A CN 103914695 A CN103914695 A CN 103914695A
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Abstract
The invention relates to the technical field of micro-electrophoresis recognition, in particular to a device and method for micro-electrophoresis image recognition. The device for the micro-electrophoresis image recognition comprises a micro-electrophoresis device, a microscopic imaging system, an image collecting device and a computer, wherein the microscopic imaging system is connected with the micro-electrophoresis device and used for observing the positions of charged particles; the image collecting device is connected with the microscopic imaging system and used for collecting motion grayscale images of the particles; the computer is connected with the image collecting device. The device for the micro-electrophoresis image recognition is simple, convenient to operate and low in cost. According to the method for the micro-electrophoresis image recognition, the motion grayscale images of the charged particles are processed through a high-accuracy numerical method, and therefore the method has the advantages that the resolution ratio is high, operation is simple, and cost is low.
Description
Technical field
The present invention relates to the technical field of micro-electrophoresis identification, more specifically, relate to a kind of for micro-electrophoretic image recognition device and method thereof.
Background technology
Micro-electrophoresis apparatus can be used for measuring electrically (zeta potential) of solid-liquid interface of dispersed system particle, and the interface that also can be used for measuring emulsion fluid drop is electrical, also can be used for measuring the mechanism of isoelectric point, research interface course of reaction.By measuring the Zeta potential of powder, from pH-Zeta electric potential relation, figure obtains isoelectric point, is the electrical important method of understanding powder surface, in powder surface is processed, is also important means.Compared with domestic and international other instrument of the same type, it has significant superiority.Can be widely used in the industries such as cosmetics, ore dressing, papermaking, health care, building materials, super-fine material, environmental protection, thalassochemistry, be also one of important instruments used for education of the specialties such as chemistry, chemical industry, medical science, building materials.
In prior art, the disclosed micro-electrophoresis apparatus normally location of the position to charged particle is normally clicked particle in figure with mouse, and this method has certain limitation.First, the gray level image of particle must be very clear, and not so naked eyes cannot offer a clear explanation; Secondly can there is certain deviation in the observation of naked eyes; Moreover because particle itself has a certain size, the position that mouse is clicked is also difficult to control to the best, also has certain error.
Summary of the invention
The present invention is the number of drawbacks overcoming described in above-mentioned prior art, provide a kind of for micro-electrophoretic image recognition device, its device is simple, easy to operate, with low cost, further, its recognition methods is provided, judge the position of particle with mathematical measure, effectively departure, reaches good resolving effect.
For solving the problems of the technologies described above, the technical solution used in the present invention is: a kind of for micro-electrophoretic image recognition device, wherein, comprise micro-electrophoretic apparatus, be connected with micro-electrophoretic apparatus for observing the micro imaging system of charged particle position, be connected with micro imaging system for gathering the image collecting device, the computing machine being connected with image collecting device of motion gray level image of particle.
In this programme, sample is positioned on micro imaging system, image collecting device gathers the motion gray level image of particle, and computing machine is processed data, then exports data.
A kind of for micro-electrophoretic image recognition methods, the recognition device that application is described, comprises the following steps:
S1. the position of micro imaging system real-time monitored charged particle, take pictures in the position to charged particle under given time step;
S2. image collecting device gathers the motion gray level image of particle;
S3. computing machine reads not gray level image in the same time, calculates the accurate location of charged particle, and then obtain the Zeta potential of charged particle in dispersed system by high-precision calculation procedure.
Particularly, in described step S3, be specially:
S31. when having obtained after the motion gray level image of charged particle, utilize computing machine to read the gray level image of known interval, because image may exist various noises in actual applications, first will remove picture noise;
S32. obtain the approximate location of band point particle by naked-eye observation, get certain computer capacity near this position, judge the position of charged particle with shade of gray, the place of shade of gray maximum is exactly the position at charged particle place;
S33. utilize high-precision numerical method to carry out numerical evaluation to the satisfied Hamilton-Jacobi equation of granular boundary, obtain the discontinuous rough region of derivative, the namely accurate location of charged particle.
Can obtain good resolving effect by said method, and then improve the accuracy of charged particle position, and obtain the Zeta potential of charged particle in dispersed system.
In addition, in the present invention, computing machine gathers after the motion gray level image collection of particle image collecting device, can carry out real-time analysis to data, then controls by experiment, feeds back to image collecting device, controls the running of image collecting device.
Further, in the present invention, computing machine can also connect a printing device, and the result of computing machine processing is printed.
Compared with prior art, beneficial effect is: device of the present invention is simple, easy to operate, with low cost; Its method is processed the motion gray level image of charged particle with high-precision numerical method, have resolution feature high, simple to operate, with low cost.
Brief description of the drawings
Fig. 1 is apparatus module schematic diagram of the present invention.
Fig. 2 is schematic flow sheet of the present invention.
Embodiment
Accompanying drawing, only for exemplary illustration, can not be interpreted as the restriction to this patent; For better explanation the present embodiment, some parts of accompanying drawing have omission, zoom in or out, and do not represent the size of actual product; To those skilled in the art, in accompanying drawing some known features and explanation thereof may to omit be understandable.
As shown in Figure 1, 2, a kind of for micro-electrophoretic image recognition device, wherein, comprise micro-electrophoretic apparatus 1, be connected with micro-electrophoretic apparatus 1 for observing the micro imaging system 2 of charged particle position, be connected with micro imaging system 2 for gathering the image collecting device 3, the computing machine 4 being connected with image collecting device 3 of motion gray level image of particle.
In the present embodiment, sample is positioned on micro imaging system 2, image collecting device 3 gathers the motion gray level image of particle, and computing machine 4 is processed data, then exports data.
In the present embodiment, a kind of for micro-electrophoretic image recognition methods, the recognition device that application is described, comprises the following steps:
S1. the position of micro imaging system 2 real-time monitored charged particles, take pictures in the position to charged particle under given time step;
S2. image collecting device 3 gathers the motion gray level image of particle;
S3. computing machine 4 reads not gray level image in the same time, calculates the accurate location of charged particle, and then obtain the Zeta potential of charged particle in dispersed system by high-precision calculation procedure.
Particularly, in described step S3, be specially:
S31. when having obtained after the motion gray level image of charged particle, utilize computing machine 4 to read the gray level image of known interval, because image may exist various noises in actual applications, first will remove picture noise;
S32. obtain the approximate location of band point particle by naked-eye observation, get certain computer capacity near this position, judge the position of charged particle with shade of gray, the place of shade of gray maximum is exactly the position at charged particle place;
S33. utilize high-precision numerical method to carry out numerical evaluation to the satisfied Hamilton-Jacobi equation of granular boundary, obtain the discontinuous rough region of derivative, the namely accurate location of charged particle.
Can obtain good resolving effect by said method, and then improve the accuracy of charged particle position, and obtain the Zeta potential of charged particle in dispersed system.
In addition, in the present embodiment, computing machine 4 gathers after the motion gray level image collection of particle image collecting device 3, can carry out real-time analysis to data, then controls by experiment, feeds back to image collecting device 3, controls the running of image collecting device 3.
Further, in the present embodiment, computing machine 4 can also connect a printing device, and the result of computing machine processing is printed.
Obviously, the above embodiment of the present invention is only for example of the present invention is clearly described, and is not the restriction to embodiments of the present invention.For those of ordinary skill in the field, can also make other changes in different forms on the basis of the above description.Here without also giving exhaustive to all embodiments.All any amendments of doing within the spirit and principles in the present invention, be equal to and replace and improvement etc., within all should being included in the protection domain of the claims in the present invention.
Claims (3)
1. one kind for micro-electrophoretic image recognition device, it is characterized in that, comprise micro-electrophoretic apparatus (1), be connected with micro-electrophoretic apparatus (1) for observing the micro imaging system (2) of charged particle position, be connected with micro imaging system (2) for gathering the image collecting device (3), the computing machine (4) being connected with image collecting device (3) of motion gray level image of particle.
2. for a micro-electrophoretic image recognition methods, it is characterized in that application rights requires the recognition device described in 1, comprises the following steps:
S1. the position of micro imaging system real-time monitored charged particle, take pictures in the position to charged particle under given time step;
S2. image collecting device gathers the motion gray level image of particle;
S3. computing machine reads not gray level image in the same time, calculates the accurate location of charged particle, and then obtain the Zeta potential of charged particle in dispersed system by high-precision calculation procedure.
3. one according to claim 2, for micro-electrophoretic image recognition methods, is characterized in that, in described step S3, is specially:
S31. when having obtained after the motion gray level image of charged particle, utilize computing machine to read the gray level image of known interval, remove picture noise;
S32. obtain the approximate location of band point particle by naked-eye observation, get certain computer capacity near this position, judge the position of charged particle with shade of gray, the place of shade of gray maximum is exactly the position at charged particle place;
S33. utilize high-precision numerical method to carry out numerical evaluation to the satisfied Hamilton-Jacobi equation of granular boundary, obtain the discontinuous rough region of derivative, the namely accurate location of charged particle.
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| CN201410168848.5A CN103914695B (en) | 2014-04-25 | 2014-04-25 | Device and method for micro-electrophoresis image recognition |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104880487A (en) * | 2015-05-19 | 2015-09-02 | 中山大学 | Fiber surface Zeta potential measurement method and device based on image identification |
| CN105301083A (en) * | 2015-11-02 | 2016-02-03 | 广东顺德中山大学卡内基梅隆大学国际联合研究院 | Measurement device and method of charge-to-mass ratio of biomacromolecules |
| CN110044992A (en) * | 2019-01-25 | 2019-07-23 | 丹东百特仪器有限公司 | A kind of image grayscale method particle Zeta potential analysis method |
| CN113177548A (en) * | 2021-05-08 | 2021-07-27 | 四川大学 | Key area identification method for immune fixed electrophoresis |
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| CN101135680A (en) * | 2007-07-13 | 2008-03-05 | 东南大学 | Light-induction dielectrophoresis auxiliary unicellular dielectric spectrum automatic test equipment and testing method |
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| JP2006133561A (en) * | 2004-11-08 | 2006-05-25 | Toppan Printing Co Ltd | Electrophoretic display device |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104880487A (en) * | 2015-05-19 | 2015-09-02 | 中山大学 | Fiber surface Zeta potential measurement method and device based on image identification |
| CN105301083A (en) * | 2015-11-02 | 2016-02-03 | 广东顺德中山大学卡内基梅隆大学国际联合研究院 | Measurement device and method of charge-to-mass ratio of biomacromolecules |
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| CN113177548A (en) * | 2021-05-08 | 2021-07-27 | 四川大学 | Key area identification method for immune fixed electrophoresis |
| CN113177548B (en) * | 2021-05-08 | 2022-07-08 | 四川大学 | Key area identification method for immune fixed electrophoresis |
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