CN106558041A - The band probe algorithm suppressed based on local in gel electrophoresiss digital picture - Google Patents
The band probe algorithm suppressed based on local in gel electrophoresiss digital picture Download PDFInfo
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- CN106558041A CN106558041A CN201510627185.3A CN201510627185A CN106558041A CN 106558041 A CN106558041 A CN 106558041A CN 201510627185 A CN201510627185 A CN 201510627185A CN 106558041 A CN106558041 A CN 106558041A
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Abstract
The present invention discloses a kind of method that swimming lane feature is automatically extracted in gel electrophoresiss digital picture.The characteristic curve of swimming lane column direction brightness flop is constructed first, then the average height and variance of statistic curve, according to the definition of extreme point, distance between extreme point relative altitude and extreme point calculates pre-maximum, these maximum points are filtered with average height and variance, the point of reservation is used as initialization bright wisp position, it is divided into some sections to characteristic curve further according to these positions, each section is suppressed respectively according to per section of average height and variance, subsequent recombinant, one new feature curve of construction, finally maximum is calculated on new feature curve, these maximum are used as final pillar location.The present invention can not only obtain the position of true band, and can filter out leave request band, moreover it is possible to improve the discrimination of low-light level band, greatly reduce the number of times of manpower intervention, improve work efficiency.
Description
Technical field
The invention belongs to technical field of image processing, is related to one kind and is visited from swimming lane figure automatically using zone suppression technique
The method for surveying band, is processed to gel electrophoresiss digital picture.
Background technology
There is no in terms of the process of gel electrophoresiss image and find related document, but have part pertinent literature to occur in other
Field.Chao Yang, Zengyou He and Weichuan Wu [Chao Yang, ZengyouHe, Weichuan
Wu.Comparison of publ ic peak detection algorithms for MALDI mass
Spectrometry data analysis, BMC Bioinformatics2009,10:4] by three extraction signal peaks,
Signal smoothing process being carried out first, baseline then being calculated and is corrected, finally carry out peak detection, the method for peak detection is adopted
Various methods, including threshold method, Peak Slope method, local extremum method, crestal line method etc..Hsein-Ping Kew with
Do-Un Jeong [Hsein-Ping Kew, Do-Un Jeong.Variable Threshold Method for ECG R-
Peak Detection, J MedSyst (2011) 35:1085-1094] using differential technique and Hilbert transform pairs electrocardiogram
Curve carries out pretreatment, then constructs the peak value that multi thresholds method extracts signal.S.Satheeskumaran with
M.Sabrigiriraj [S.Satheeskumaran, M.Sabrigiriraj.A New LMS Based Noise Removal
and DWT Based R-peakDetection in ECG Signal for Biotelemetry
Applications.Natl.Acad.Sci.Lett., 2014,37 (4):341-349.] when electrocardiogram curve line is processed, first
Curve is filtered with the sef-adapting filter based on least square, then Electrocardiographic peak is detected using wavelet analysis technology
Value.
The content of the invention
The invention aims to automatic detection feature band in solving the problems, such as image, is that this present invention proposes one kind
The method suppressed based on region detects the positional information of swimming lane band automatically, is applied to gel electrophoresiss Digital Image Processing
On.The characteristics of this method has taken into full account gel electrophoresiss digital picture, that is, have regionality, and Regional Characteristics difference be big, because
This takes the strategy for processing respectively, achieves good effect.
In order to complete the auto-Detection Technology of swimming lane band, it is proposed that based on the technical scheme that region suppresses, as follows:
Step one, structural features curve, and conscientious thick detection, and it is characterized curve zoning;
Step 2, the provincial characteristicss of calculated curve carry out local suppression;
Step 3, repressed characteristic curve is reconfigured, and is constructed new characteristic curve, is carried out accurately detecting.
The following detailed description of once realizing process:
Step S1, is swimming lane figure structural features curve, and the method for structure is the gray scale for counting every a line in swim-lane diagram picture
Average, used as y values, using column direction position as x values, the two combines, and constructs a characteristic curve.
Step S2, using the extreme value point calculating method of discrete function, the extreme point position of detection feature curve.
Step S3, using different filterconditions, filters to initial extreme point, obtains first pillar location, such as
According to the overall statistical nature (expecting and variance) of curve, remove the extreme point less than a certain height, according to adjacent extreme point
Distance, removes the less extreme point of functional value.
Step S4, carries out region division to the characteristic curve of swimming lane according to first pillar location.
Step S5, the curve for counting each region are special, calculate which and expect and variance.
Step S6, suppresses to the region according to expectation and variance, i.e., all functional values deduct corresponding a certain height
Value.
Step S7, the sectional curve after suppression is integrated, and obtains a new characteristic curve.
Step S8, execution step S2 and S3, obtain accurate pillar location.
Description of the drawings
Fig. 1 algorithm flow charts:Schematically illustrate the logical flow chart of the algorithm.
Fig. 2 algorithm process result figures:Illustrate the result of the algorithm.
Specific embodiment
Step one, swim-lane diagram picture isCharacteristic curve f (x, y)={ (Mi, i) }, i
∈ { 1,2 ..., n }
Step 2, the computational methods of discrete curve extreme point,Wherein g
(i, j)=f ' (i, j)
Step 3, the expectation of curve and variance,
Filtercondition 1:F < E+ α D, α ∈ [- 3,3], in calculating process, α=0.3 effect is preferable, it is proposed that be set as writing from memory
Recognize value, while allowing user to change.
Filtercondition 2:Two neighboring point apart from d < 5;
The interval of function, according to the maximum point set that step 3 is obtained, is divided into k sub-regions by step 4, be respectively [1,
n1], [n1+ 1, n2] ..., [nk-1+ 1, n].
Step 5, calculates expectation and the variance of each section of function respectively according to the formula in step 3, is designated as Ek, Dk;
Step 6, the maximum suppressing method in the 1st region, hl(i, j)=gl(i, j)-(Ek+βDk), β ∈ [- 3,3],
Then by k hl(i, j) is combined into new characteristic curve h (i, j), and in test, β=1 effect is preferable, it is proposed that be set to acquiescence
Value, it is allowed to which user changes.
Step 7, calculates the position of band on h (i, j) according to step 2, three.
The above, the only specific implementation method of the method, but the protection domain invented is not limited to this, and it is any to be familiar with
With understand the people of the technology in disclosed scope, it will be appreciated that or expect the conversion of some parameters, such as, α, β with
And the distance between two maximum etc., should all cover within the scope of the including of the present invention.Therefore protection scope of the present invention should
Should be defined by the protection domain of claims.
Claims (5)
1. the method that the method for being suppressed using region detects the band in swimming lane automatically, its feature include following several respects:
First, quadratic probing technology is introduced, it is once thick to detect, it is once fine to detect;
Second, zone suppression technique is introduced, prominent real peak value suppresses false peaks;
3rd, zones of different is suppressed using different indexs.
2. the automatic detection method according to right 1, thick for the first time to detect the position for determining main band, and according to these positions
Put and the characteristic curve of swimming lane is divided into into different regions.
3. the statistic of zones of different, according to right 1 and right 2, is calculated, and as the parameter that the segment signal suppresses.
4., according to right 1, zone suppression technique causes that the peak value in the region is more prominent, and low peak is less, this technology pair
Low-light level band and background more effectively, can be made a distinction by the band of swimming lane end low-light level.
5. right 1 requires the automatic detection of the method suitable for swimming lane band gel electrophoresiss digital picture of described region suppression
Process.
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Cited By (5)
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WO2020211403A1 (en) * | 2019-04-15 | 2020-10-22 | 苏州金唯智生物科技有限公司 | Method and apparatus for identifying electrophoretogram, device, and storage medium |
WO2021003131A1 (en) * | 2019-07-01 | 2021-01-07 | Li-Cor, Inc. | Adaptive lane detection systems and methods |
CN113177548A (en) * | 2021-05-08 | 2021-07-27 | 四川大学 | Key area identification method for immune fixed electrophoresis |
WO2022188696A1 (en) * | 2021-03-08 | 2022-09-15 | 南京金斯瑞生物科技有限公司 | Method for automatically identifying and analyzing gel image |
CN115393364A (en) * | 2022-11-01 | 2022-11-25 | 长春理工大学 | Chemiluminescence blot lane identification method |
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020211403A1 (en) * | 2019-04-15 | 2020-10-22 | 苏州金唯智生物科技有限公司 | Method and apparatus for identifying electrophoretogram, device, and storage medium |
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WO2022188696A1 (en) * | 2021-03-08 | 2022-09-15 | 南京金斯瑞生物科技有限公司 | Method for automatically identifying and analyzing gel image |
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 |
CN115393364A (en) * | 2022-11-01 | 2022-11-25 | 长春理工大学 | Chemiluminescence blot lane identification method |
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Application publication date: 20170405 |