CN108896094A - The leakage of medical microscope slide sample plus method of discrimination - Google Patents
The leakage of medical microscope slide sample plus method of discrimination Download PDFInfo
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- CN108896094A CN108896094A CN201810553829.2A CN201810553829A CN108896094A CN 108896094 A CN108896094 A CN 108896094A CN 201810553829 A CN201810553829 A CN 201810553829A CN 108896094 A CN108896094 A CN 108896094A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a kind of leakage of medical microscope slide sample plus method of discrimination, one, the medical in-vitro diagnosis equipment of unlatching, editor need sample information to be tested, then start to test；Two, when the carrier slide of sample reaches sample-adding hole location, first image is shot to slide before sample-adding, and first image is saved under catalogue relevant with catalogue number(Cat.No.)；Three, when the TIP head absorption sample of medical in-vitro diagnosis equipment and after the hole location that the slide stops adds sample, second image is shot again to the slide after addition sample, and be saved under catalogue relevant with catalogue number(Cat.No.)；Four, first image of shooting, second image are shear off together with hole location number, average color is then found out respectively to first image, second image that shear off；The average color of first image, second image is compared, obtains respective color distance, according to the difference of two color distances obtained, judges the hole location slide with the presence or absence of leakage sample-adding originally.
Description
Technical field
The present invention relates to sample leakage plus method of discrimination, more particularly, to the leakage of medical microscope slide sample plus method of discrimination.
Background technique
Medical in-vitro diagnosis equipment, most of is all the body fluid using people as detection sample, body fluid as a kind of liquid,
Readily volatilized, solidification, leakage, if there is above situation, imbibition TIP of medical in-vitro diagnosis equipment, steel needle will be inhaled not
To sample, lead to there is no sample on the carrier slide of sample；And medical in-vitro diagnosis equipment will continue to be loaded leakage this at this time
Slide is added reagent, cleaning, drying operation, this not only causes the waste of slide, reagent, pure water, but also will lead to point
Analyse the mistake of result；Meanwhile the one-time detection deadline general 15 minutes or more, also result in waste of time.
When although imbibition TIP of medical in-vitro diagnosis equipment, steel needle are drawn onto sample, but sample is added to the position on slide
It is not right to set, can equally occur above-mentioned leakage sample-adding this and caused by result.
Summary of the invention
It is an object of that present invention to provide a kind of leakage of medical microscope slide sample plus method of discrimination.
To achieve the above object, the present invention takes following technical proposals：
Medical microscope slide sample leakage of the present invention plus method of discrimination, carry out as steps described below：
The first step opens medical in-vitro diagnosis equipment, and editor needs sample information to be tested, then starts to test；
Second step, when sample carrier slide reach sample-adding hole location when, before sample-adding to the slide shoot first image, and
First image is saved under catalogue relevant with catalogue number(Cat.No.)；
Third step, the TIP head absorption sample when the medical in-vitro diagnosis equipment and the hole location addition in slide stop
After sample, second image is shot again to the slide after addition sample, and be saved under catalogue relevant with catalogue number(Cat.No.)；
4th step shear offs first image of shooting, second image together with hole location number, then to shear offing
First image, second image find out average color respectively；I.e.：Each pixel of image tri- values of RGB are tired out respectively
Meter summation, finally divided by number of pixels, calculation formula is：
；
Wherein：
Crgb:Average color；Cnr：The R channel value of nth pixel；Cng：The G channel value of nth pixel；Cnb：N-th of picture
The channel B value of element, n：The number of pixels of image;
The average color of first image, second image is compared, obtains respective color distance, according to
The difference of two color distances out judges the hole location slide with the presence or absence of leakage sample-adding originally；Leakage sample-adding originally, notifies if it exists
Personnel operate medical in-vitro diagnosis equipment and carry out adding sample to the hole location slide；Otherwise, medical in-vitro diagnosis equipment is after reforwarding
Row；
In rgb space, color distance value is calculated according to the following equation：
；
Wherein：
C1：The color of first image； C2：The color of second image；C1, R：The channel R of first color of image；C2, R：The
The channel R of two color of image；C1, G：The channel G of first color of image；C2, G：The channel G of second color of image；C1, B：
The channel B of first color of image；C2, B：The channel B of second color of image.
The described image format shot in third step is JPG, BMP or PNG picture format.
The average color in 4th step is got according to each pixel color value of captured image, color value
Summation be included in average color in；The color distance includes average color distance, color summation distance.
The medical treatment in-vitro diagnosis equipment is nine joint inspection pre-treatment instrument, and it is sample that the editor, which needs sample information to be tested,
Number, submission date, name, age, medical record number, department, bed label.
The invention has the advantages that embodying in the following areas：
1, the slide of leakage sample-adding originally has image preservation, verifies convenient for doctor；
2, the image clearly of sample-adding originally is leaked, can intuitively determine the sample-adding hole location that leakage adds by image naked eyes；
3, it is convenient for automatic operation, the sample-adding gap in instrument operational process can find leakage plus position in time, convenient for mending
Add；
4, when sample is more sticky, the color distance of image hole location is larger, can more accurately determine leakage plus position.
Detailed description of the invention
Fig. 1 is flow diagram of the invention.
Specific embodiment
It elaborates with reference to the accompanying drawing to the embodiment of the present invention, the present embodiment before being with technical solution of the present invention
It puts and is implemented, the detailed implementation method and specific operation process are given, but protection scope of the present invention is not limited to down
State embodiment.
As shown in Figure 1, medical microscope slide sample of the present invention leakage plus method of discrimination, as steps described below into
Row：
The first step opens nine joint inspection pre-treatment instrument, and editor needs sample information to be tested, including sample number, submission date, surname
Then name, age, medical record number, department, bed label etc. start to test；
Second step, when the carrier slide of sample reaches sample-adding hole location, first image shot to slide before sample-adding, and by the
One image is saved under catalogue relevant with catalogue number(Cat.No.)；
After third step, the TIP head absorption sample when nine joint inspection pre-treatment instrument and the hole location addition sample in slide stop,
Second image is shot to the slide after addition sample again, and is saved under catalogue relevant with catalogue number(Cat.No.)；The image of shooting
Format can be JPG, BMP or PNG picture format；
4th step shear offs first image of shooting, second image together with hole location number, then to shear off
One image, second image find out average color respectively；I.e.：Tri- values of each pixel of image RGB are added up to ask respectively
With finally divided by number of pixels, calculation formula is：
；
Wherein：
Crgb:Average color；Cnr：The R channel value of nth pixel；Cng：The G channel value of nth pixel；Cnb：N-th of picture
The channel B value of element, n：The number of pixels of image;
The average color of first image, second image is compared, obtains respective color distance, according to
The difference of two color distances out（Difference is that leakage adds between 0-20, and difference is not leaked greater than 20 to be added）, judge the hole location glass
Piece is loaded this with the presence or absence of leakage；Leakage sample-adding originally, notifies personnel to operate nine joint inspection pre-treatment instrument and carry out to the hole location slide if it exists
Add sample；Otherwise, nine joint inspection pre-treatment instrument continue to run；
In rgb space, color distance value is calculated according to the following equation：
；
Wherein：
C1：The color of first image； C2：The color of second image；C1, R：The channel R of first color of image；C2, R：The
The channel R of two color of image；C1, G：The channel G of first color of image；C2, G：The channel G of second color of image；C1, B：
The channel B of first color of image；C2, B：The channel B of second color of image；Average color includes the summation of color value, face
Color distance includes average color distance, color summation distance.
When nine joint inspection pre-treatment instrument have multiple sample-adding hole locations, the sample leakage plus differentiation of each sample-adding hole location and above-mentioned steps
It is identical.
Claims (4)
1. a kind of medical microscope slide sample leakage plus method of discrimination, it is characterised in that：It carries out as steps described below：
The first step opens medical in-vitro diagnosis equipment, and editor needs sample information to be tested, then starts to test；
Second step, when sample carrier slide reach sample-adding hole location when, before sample-adding to the slide shoot first image, and
First image is saved under catalogue relevant with catalogue number(Cat.No.)；
Third step, the TIP head absorption sample when the medical in-vitro diagnosis equipment and the hole location addition in slide stop
After sample, second image is shot again to the slide after addition sample, and be saved under catalogue relevant with catalogue number(Cat.No.)；
4th step shear offs first image of shooting, second image together with hole location number, then to shear offing
First image, second image find out average color respectively；I.e.：Each pixel of image tri- values of RGB are tired out respectively
Meter summation, finally divided by number of pixels, calculation formula is：
；
Wherein：
Crgb:Average color；Cnr：The R channel value of nth pixel；Cng：The G channel value of nth pixel；Cnb：N-th of picture
The channel B value of element, n：The number of pixels of image;
The average color of first image, second image is compared, obtains respective color distance, according to
The difference of two color distances out judges the hole location slide with the presence or absence of leakage sample-adding originally；Leakage sample-adding originally, notifies if it exists
Personnel operate medical in-vitro diagnosis equipment and carry out adding sample to the hole location slide；Otherwise, medical in-vitro diagnosis equipment is after reforwarding
Row；
In rgb space, color distance value is calculated according to the following equation：
；
Wherein：
C1：The color of first image； C2：The color of second image；C1, R：The channel R of first color of image；C2, R：The
The channel R of two color of image；C1, G：The channel G of first color of image；C2, G：The channel G of second color of image；C1, B：
The channel B of first color of image；C2, B：The channel B of second color of image.
2. medical microscope slide sample leakage according to claim 1 plus method of discrimination, it is characterised in that：In third step
The described image format of shooting is JPG, BMP or PNG picture format.
3. medical microscope slide sample leakage according to claim 1 or 2 plus method of discrimination, it is characterised in that：4th step
In the average color be to be got according to each pixel color value of captured image, the summation of color value is included in flat
In equal color value；The color distance includes average color distance, color summation distance.
4. medical microscope slide sample leakage according to claim 1 or 2 plus method of discrimination, it is characterised in that：The doctor
Treatment in-vitro diagnosis equipment is nine joint inspection pre-treatment instrument, the editor need sample information to be tested be sample number, submission date,
Name, age, medical record number, department, bed label.
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|---|---|---|---|
| CN201810553829.2A CN108896094B (en) | 2018-06-01 | 2018-06-01 | Medical microscope slide sample missing judging method |
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|---|---|---|---|
| CN201810553829.2A CN108896094B (en) | 2018-06-01 | 2018-06-01 | Medical microscope slide sample missing judging method |
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| CN108896094A true CN108896094A (en) | 2018-11-27 |
| CN108896094B CN108896094B (en) | 2020-07-07 |
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2018
- 2018-06-01 CN CN201810553829.2A patent/CN108896094B/en active Active
Patent Citations (9)
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|---|---|---|---|---|
| CN101097657A (en) * | 2006-06-26 | 2008-01-02 | 上海宝信软件股份有限公司 | Traffic signal light condition judgement method based on video frequency image processing |
| CN101779155A (en) * | 2007-08-16 | 2010-07-14 | 皇家飞利浦电子股份有限公司 | A method of imaging a sample |
| CN102348128A (en) * | 2010-07-30 | 2012-02-08 | 株式会社日立制作所 | Surveillance camera system having camera malfunction detection function |
| US20120194729A1 (en) * | 2011-02-01 | 2012-08-02 | Michael Zahniser | Fast Auto-Focus in Imaging |
| CN102928441A (en) * | 2012-10-25 | 2013-02-13 | 渭南师范学院 | Scanning type automatic optical detecting system |
| CN102937595A (en) * | 2012-11-13 | 2013-02-20 | 浙江省电力公司电力科学研究院 | Method, device and system for detecting printed circuit board (PCB) |
| US20150065803A1 (en) * | 2013-09-05 | 2015-03-05 | Erik Scott DOUGLAS | Apparatuses and methods for mobile imaging and analysis |
| CN103808731A (en) * | 2014-01-20 | 2014-05-21 | 北京大恒图像视觉有限公司 | Defect detection method applied to presswork detection system |
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| CN108896094B (en) | 2020-07-07 |
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