CN201305591Y - Microorganism intelligent identification equipment - Google Patents
Microorganism intelligent identification equipment Download PDFInfo
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- CN201305591Y CN201305591Y CNU2008202134655U CN200820213465U CN201305591Y CN 201305591 Y CN201305591 Y CN 201305591Y CN U2008202134655 U CNU2008202134655 U CN U2008202134655U CN 200820213465 U CN200820213465 U CN 200820213465U CN 201305591 Y CN201305591 Y CN 201305591Y
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Abstract
The utility model discloses a microorganism intelligent identification equipment, comprising a central processing unit which is provided with a control software; a micro-imaging device which leads a sample to be converted into a digital video signal by a photosensitive imaging; an image processing module which leads the image generated by the micro-imaging device to carry out image preprocessing; a microorganism module which is composed of a plurality of microorganism units, and each unit stores a microorganism descriptive model; and an identification module, one microorganism unit is chosen for comparing with the sample digitization characteristics, and the judgment result is obtained; the central processing unit controls the operation of the micro-imaging device, the image processing module, the microorganism module and the identification module, and the judgment result is output. In the utility model, the detecting accurate ratio is high and the early diagnosis effect on the reproductive system is very obvious.
Description
Technical field
The utility model relates to medicine equipment, relates in particular to a kind of microbial intelligent identification method and equipment.
Background technology
Microorganism human beings'health is had very big influence, how to be familiar with microorganism and to be an important topic of industry its control of carrying out science.For example, with chlamydia trachomatis unit, Ureaplasma urealyticum unit, to cook exanthema virus unit, Candida albicans unit, Neisseria gonorrheae unit and Gardnerella unit merely be that the microorganism of representative brings stern challenge to human reproduction's health.And the physical and mental health of genital tract infection serious threat human beings'health, particularly women and children.At present, not high to the diagnostic method accuracy of reproductive disease, and also complicated operation, the microbial culture time is long, and supporting with it equipment is also more single, can not comprehensively judge multiple microbial bacterial.
Summary of the invention
The purpose of this utility model is to solve above-mentioned problems of the prior art, proposes a kind of microorganism Intelligent Recognition equipment.
The technical solution of the utility model is to propose a kind of microorganism Intelligent Recognition equipment, comprising:
The central processing unit of control software is installed;
Microscopic imaging device becomes digital video signal by photosensitive imaging with sample conversion;
Image processing module, the image that microscopic imaging device is generated carries out the image pre-treatment;
The microorganism module is made up of a plurality of microorganisms unit, and each unit stores a kind of microorganism descriptive model;
Identification module selects a microorganism unit and sample digitalized signature to compare, and draws judged result;
The operation of described central processing unit control microscopic imaging device, image processing module, microorganism module and identification module, and output judged result.
Described microorganism module comprises chlamydia trachomatis unit, Ureaplasma urealyticum unit, cooks exanthema virus unit, Candida albicans unit, Neisseria gonorrheae unit and Gardnerella unit merely.
Compared with prior art, the utlity model has following beneficial effect:
1, proving time fast, traditional microorganism microscopy incubation time is long, as seeks out comparatively ideal effect, generally wants 48 hours, some in addition need 7-10 days.The time of the present invention check is about 45 minutes, comprises sample Production Time.
2, check accuracy rate height, Clinical Laboratory show, the rate of accuracy reached 93% of the present invention's identification.
3, operating process is simple, need not manual intervention.
4, no test atmosphere requirement.
5, do not rely on reviewer's expertise.
6, can realize long-range judgement and investigation by communication network.
Description of drawings
Below in conjunction with preferred embodiment and accompanying drawing the utility model is described in detail, wherein:
Fig. 1 is the structural representation of the utility model equipment;
Fig. 2 is the schema of the utility model work;
Fig. 3 is the synoptic diagram of microorganism module in the utility model;
Fig. 4 is the microorganism identification process figure in the utility model;
Fig. 5 is that sample to be checked is made schema.
Embodiment
As shown in Figure 1, the microorganism Intelligent Recognition equipment that the utility model proposes comprises central processing unit, microscopic imaging device, image processing module, microorganism module, identification module and take-off equipment as a result.Wherein, store the unit of the concrete microorganism feature of a plurality of descriptions in the microorganism module, as chlamydia trachomatis unit, Ureaplasma urealyticum unit, cook exanthema virus unit, Candida albicans unit, Neisseria gonorrheae unit and Gardnerella unit etc. merely, as shown in Figure 3.
Fig. 2 is testing process figure of the present utility model, comprises the following steps:
A. make sample;
B. micro-imaging is placed on sample in the photosensitive imaging device, obtains the image that covers this sample space, and this image is imported in the central processing unit;
C. picture processing is carried out the image pre-treatment to the micro-image that imports in the central processing unit, draws sample characteristics;
D. contrast is judged, selects the microorganism module group unit, and this unit numerical information and sample characteristics are compared, and provides recognition result;
E. export recognition result.
Among the step a., sample to be checked can be made according to the requirement that different microorganisms detects.
Fig. 5 may further comprise the steps for detecting the making flow process of chlamydia trachomatis sample: smear, and the terylene cotton swab head of holding after the sampling is evenly smeared at the uneven surface of cleaning sterilization slide glass; Fix, slide glass is inserted in the cold methanol fix; Sealing is inserted slide glass in the incubation case, and the 40ul encapsulant is slowly dripped in slide glass coating place, covers the incubation case lid, temperature is remained 37 ℃, sealing treatment 10 minutes; The incubation case lid is opened in dyeing and hatching, and the 20ul fluorescent reagent is slowly dripped at slide glass coating sample place, covers the incubation case lid, and temperature remains on 37 ℃, hatches 30 minutes; Washing is mixed with washings by the reagent specification sheets with concentrated cleaning solution and tween 20 in the immunofluorescence test kit, the slide glass after hatching is inserted in the washings washed 3 minutes, then, the slide glass after the washing is placed under the dry ventilated environment, treats that it dries naturally.
After sample is made, can on showly detect.The microscopic imaging device that the present invention uses comprises biological microscope and digital imaging apparatus.
At first, cover a cover glass at the slide specimen place, on cover glass, add a senior fluoroscope oil again, the slide glass uneven surface is placed on up on the carrier table of microscopic imaging device, regulate microscope thickness knob, find luminophore, be converted to the 100X object lens again and observe with the 40X object lens, regulate thin knob, on the central processing unit display screen, demonstrate clear image.
Then, manually select Selected Inspection micrometer biotype; Then, central processing unit control image processing module is handled detecting sample, comprises that image pre-treatment, image cut apart, extract sample characteristics, as shown in Figure 4.
Subsequently, central processing unit starts identification module with the identification of comparing of image processing module digital information feature that produces and the microorganism cell type of choosing, and draws recognition result.
Can make a plurality of detection samples to same secretory product to be checked, carry out Treatment Analysis respectively, the comprehensive detected result of judging the detection sample, printout examining report then.
The utility model carries out speed inspection to patient's secretory product, after sample is made, can obtain detected result in 5 minutes.Testing process does not need to carry out loaded down with trivial details microbial culture, does not need the operator of specialty, does not need the Specialty Experiment environment yet, no matter is can use the utility model equipment in hospital or community medicine station.
Through clinical trial, the method and apparatus that the utility model proposes detects the accuracy rate height, and is very obvious for the early diagnosis effect of reproductive system.
In addition, the utility model can transmit by network, realizes electronic health record and diagnosis report telemanagement.
The utility model is not limited to be applied in the check of reproductive system microorganism, as long as the microorganism module group unit stores certain microorganism feature description model, just can detect this kind microorganism.
Though the utility model is described with reference to above-mentioned embodiment; but those skilled in the art will be appreciated that; above-mentioned embodiment only is used for illustrating the utility model; be not to be used for limiting protection domain of the present utility model; any within spirit of the present utility model and principle scope, any modification of being done, equivalence are replaced, improvement all should be included within the rights protection scope of the present utility model.
Claims (5)
1, a kind of microorganism Intelligent Recognition equipment is characterized in that comprising:
The central processing unit of control software is installed;
Microscopic imaging device becomes digital video signal by photosensitive imaging with sample conversion;
Image processing module, the image that microscopic imaging device is generated carries out the image pre-treatment;
The microorganism module is made up of a plurality of microorganisms unit, and each unit stores a kind of microorganism descriptive model;
Identification module selects a microorganism unit and sample digitalized signature to compare, and draws judged result;
The operation of described central processing unit control microscopic imaging device, image processing module, microorganism module and identification module, and output judged result.
2, microorganism Intelligent Recognition equipment according to claim 1 is characterized in that: described microorganism module comprises chlamydia trachomatis unit, Ureaplasma urealyticum unit, cooks exanthema virus unit, Candida albicans unit, Neisseria gonorrheae unit and Gardnerella unit merely.
3, microorganism Intelligent Recognition equipment according to claim 1, it is characterized in that: described microscopic imaging device comprises biological microscope and digital imaging apparatus.
4, microorganism Intelligent Recognition equipment according to claim 1 is characterized in that: also comprise the printing, storage and the network transmission device that are connected with central processing unit.
5, microorganism Intelligent Recognition equipment according to claim 1, it is characterized in that: described sample is the slide that is coated with microorganism to be checked.
Priority Applications (1)
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CNU2008202134655U CN201305591Y (en) | 2008-11-10 | 2008-11-10 | Microorganism intelligent identification equipment |
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CNU2008202134655U CN201305591Y (en) | 2008-11-10 | 2008-11-10 | Microorganism intelligent identification equipment |
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CNU2008202134655U Expired - Fee Related CN201305591Y (en) | 2008-11-10 | 2008-11-10 | Microorganism intelligent identification equipment |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103409508A (en) * | 2013-07-02 | 2013-11-27 | 江苏硕世生物科技有限公司 | Gonococcus/ureaplasma urealyticum/chlamydia trachomatis triple nucleic acid detection kit |
CN112694967A (en) * | 2020-12-22 | 2021-04-23 | 华南理工大学 | Device for rapidly screening aquatic ecological species on site |
-
2008
- 2008-11-10 CN CNU2008202134655U patent/CN201305591Y/en not_active Expired - Fee Related
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103409508A (en) * | 2013-07-02 | 2013-11-27 | 江苏硕世生物科技有限公司 | Gonococcus/ureaplasma urealyticum/chlamydia trachomatis triple nucleic acid detection kit |
CN103409508B (en) * | 2013-07-02 | 2015-05-13 | 江苏硕世生物科技有限公司 | Gonococcus/ureaplasma urealyticum/chlamydia trachomatis triple nucleic acid detection kit |
CN112694967A (en) * | 2020-12-22 | 2021-04-23 | 华南理工大学 | Device for rapidly screening aquatic ecological species on site |
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C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
C17 | Cessation of patent right | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20090909 Termination date: 20121110 |