Grayscale bar calibration method, standard grayscale bar and dry chemical analyzer quality control method

Abstract

The present invention provides a grayscale bar calibration method, a standard grayscale bar and a dry chemical analyzer quality control method, wherein the grayscale bar calibration method comprises the following steps: S1. obtaining a grayscale bar printed in an ideal color; S2. obtaining a color difference value ΔE of the grayscale bar i , get the standard color value K of the grayscale bar i ; S3. Color difference value ΔE i And standard color value K i Perform correlation analysis. If the correlation R1 2 >0.99, the grayscale bar is qualified, otherwise it is unqualified; the color difference ΔE is indirectly judged by reading the color difference between the color on the grayscale bar and the background color of the grayscale bar i With the standard color value K i The correlation between ΔE i Whether it can be used as a quality control parameter of the standard grayscale bar to ultimately achieve quality evaluation of the dry chemical analyzer.

Description

Technical Field

[0001] The present invention relates to the field of detection technology, and in particular to a grayscale bar calibration method, a standard grayscale bar and a dry chemical analyzer quality control method. Background Art

[0002] Dry chemical analysis refers to a method of performing chemical analysis by adding liquid test samples directly to a reagent strip, using the water in the sample as a solvent to induce a specific chemical reaction. It is very important to perform quality control and calibration on dry chemical analyzers, which is related to the reliability of the measurement results. Standard grayscale strips can usually be used for calibration.

[0003] In order to reduce costs, we can refer to the standard color card and select a pure gray grayscale bar that can cover the photoelectric signal detection range of the dry chemical analyzer. We can use professional digital laser equipment with high color stability and printing accuracy to copy the standard grayscale bar, and use a densitometer to detect and determine whether the density value (C, M, Y, K) of the standard grayscale bar meets the quality control requirements of the dry chemical analyzer. Given that most of the current mainstream printing processes are digital laser printing technology rather than traditional screen printing, the use of a densitometer to directly test the gray card screen printing density value (C, M, Y, K) is not ideal. Therefore, a solution is needed to solve the above problem. Summary of the invention

[0004] The object of the present invention is to provide a grayscale bar calibration method, a standard grayscale bar and a dry chemical analyzer quality control method to solve the above problems.

[0005] The technical solution adopted by the present invention is:

[0006] A grayscale bar calibration method comprises the following steps:

[0007] S1. Get the grayscale strip printed in the ideal color;

[0008] S2. Obtain the color difference value ΔE of the grayscale bar i , get the standard color value K of the grayscale bar i ;

[0009] S3. Color difference value ΔE i And standard color value K i Perform correlation analysis. If the correlation R 1 2 >0.99, the grayscale bar is qualified, otherwise it is unqualified.

[0010] Specifically, the color difference value ΔE i Obtained by density meter measurement.

[0011] Specifically, the color difference value ΔEi It is the color difference between the color printed on the grayscale bar and the background color of the grayscale bar.

[0012] Specifically, the background color number of the grayscale bar is defined as 0, and the background color density value of 0 is defined as E 0 The grayscale bar is provided with colors numbered 1 to N, and the density value of the color numbered i on the grayscale bar is E i , i∈1~N, the color difference value ΔE i =E i -E 0 .

[0013] Specifically, the grayscale bar in step S1 is color matched and laid out in a computer according to the C, M, Y, K values ​​corresponding to the color number selected from the PANTONE color card, and finally produced by professional digital printing equipment.

[0014] Specifically, the standard color value K i Determined by the color number corresponding to the PANTONE color card.

[0015] A standard grayscale bar, wherein the standard grayscale bar is calibrated to be qualified by the grayscale bar calibration method described above.

[0016] Specifically, the PANTONE color card color numbers used in the standard grayscale strips are P179-2C, P179-3C, P179-6C, P179-10C, P179-12C, and P179-14C.

[0017] A dry chemical analyzer quality control method comprises the following steps:

[0018] S10. Obtain the standard color value K of the standard grayscale bar mentioned above i，

[0019] S20. Obtain the sampling value k of the standard grayscale bar described above i；

[0020] S30. The sampling value k i And standard color value K i Perform correlation analysis. If the correlation R 2 2 >0.99, the dry chemical analyzer is qualified, otherwise it is unqualified.

[0021] Specifically, before step S10, the photoelectric signal and sampling value k of the dry chemical analyzer are constructed. i The mathematical model between and written into the algorithm, so that the step S20 can directly collect the photoelectric signal to obtain the sampling value k i .

[0022] The beneficial effects of the present invention are:

[0023] The color difference ΔE is indirectly judged by reading the color difference between the color on the grayscale bar and the background color of the grayscale bar. i With the standard color value K i The correlation between ΔE i Whether it can be used as a quality control parameter of the standard grayscale bar to ultimately achieve quality evaluation of the dry chemical analyzer. DETAILED DESCRIPTION

[0024] The present invention will be described in detail with specific implementations below. However, these implementations do not limit the present invention, and any structural, methodological, or functional changes made by a person skilled in the art based on these implementations are all included in the protection scope of the present invention.

[0025] If the invention involves directions (e.g., up, down, left, right, front, back, outside, inside, etc.) when describing, it is necessary to define the directions involved, such as "In order to clearly express the positions and directions described in the invention, the end close to the operator is the proximal end, and the end away from the operator is the distal end." Or define it with the paper as a reference. Of course, if the positional relationship between the two is defined by mutual reference in the subsequent description, it does not need to be defined here.

[0026] A grayscale bar calibration method comprises the following steps:

[0027] S1. Get the grayscale strip printed in the ideal color;

[0028] S2. Obtain the color difference value ΔE of the grayscale bar i , get the standard color value K of the grayscale bar i ;

[0029] S3. The color difference value ΔE i And standard color value K i Perform correlation analysis. If the correlation R 1 2 >0.99, the grayscale bar is qualified, otherwise it is unqualified.

[0030] Specifically, for the grayscale bar calibration method described above, step S1: obtaining a grayscale bar printed in an ideal color. Since the color development reaction of the biochemical reagent strip used in the dry chemical analyzer is a concentration change of a single color (wavelength unchanged), the instrument determines the concentration of the biochemical substance by measuring the change in the intensity of the reflected light after the color development reaction of the reagent strip. Based on this measurement principle and method, the pure gray in the PANTONE CMYK standard grayscale bar with C=0&M=0&Y=0 and only a K value change is selected as a reference to produce a grayscale bar. The specific color numbers are P179-1C~16C. N color numbers are selected from P179-1C~16C, and the C, M, Y, and K values ​​corresponding to these N color numbers are matched and laid out in a computer through Adobe Illustrator software, and finally produced into a grayscale bar through professional digital printing equipment.

[0031] Specifically, for the color difference value ΔE described in step S2 of the grayscale bar calibration method above, i , the color difference value ΔE i is the color difference between the color printed on the grayscale bar and the background color of the grayscale bar, and the color difference value ΔE i The background color of the grayscale bar is defined as 0, and the background color density value of 0 is defined as E 0 The grayscale bar is provided with colors numbered 1 to N, and the density value of the color numbered i on the grayscale bar is E i , i∈1~N, the color difference value ΔE i =E i -E 0 .

[0032] The standard color value K i Determined by the color number corresponding to the PANTONE color card. Specifically, according to the selected color number, the C, M, Y, and K values ​​corresponding to the color number can be queried. The standard color value K i This is the K value here.

[0033] Based on the above grayscale bar calibration method, the present invention further provides a standard grayscale bar, and the standard grayscale bar is verified to be qualified by the above grayscale bar calibration method.

[0034] A large number of experiments have proved that the PANTONE color card color numbers used in the standard grayscale strips are P179-2C, P179-3C, P179-6C, P179-10C, P179-12C, and P179-14C, which can cover the normal detection range of the photoelectric signal of the reagent strip of the dry chemical analyzer.

[0035] As an experiment of the present invention, the above 6 color numbers were selected to make grayscale bars to be tested, and the data in Table 1 and the correlation analysis results in Table 2 were obtained by using a densitometer:

[0036] Table 1 - Density meter sampling data

[0037]

[0038] Table 2 - Color difference value ΔE i With the standard color value K i Correlation analysis

[0039]

[0040] The test results show that the color difference value ΔE of the grayscale bar printed this time i And standard color value K i The correlation R 1 2 is 0.9927, due to R 1 2 >0.99, so the grayscale bar is qualified and can meet the requirements of actual production quality control.

[0041] Based on the above standard grayscale bar, the present invention also provides a quality control method for a dry chemical analyzer, comprising the following steps:

[0042] S10. Obtain the standard color value K of the standard grayscale bar i ,

[0043] S20. Obtain the sampling value k of the standard grayscale bar i ;

[0044] S30. The sampling value k i And standard color value K i Perform correlation analysis. If the correlation R 2 2 >0.99, the dry chemical analyzer is qualified, otherwise it is unqualified.

[0045] Specifically, in S20, the photoelectric signal and the sampling value k of the dry chemical analyzer are constructed. i The mathematical model between them is written into the algorithm to directly obtain the sampling value k i .

[0046] As an experiment of the present invention, two dry chemical analyzers were randomly selected, and the instrument models were defined as P18010011 and P18010012 respectively. The conversion algorithm was written into the programs of the two dry chemical analyzers so as to directly measure the concentration of the standard grayscale bar (i.e., the sampling value k i), based on the concentration (k) of the standard grayscale bars (1# to 6#) measured under a standard environment (temperature 25°C, humidity 45% to 55%) i ), the dry chemical analyzer has four channels, the first hole is the plug-in identification hole, so the data of the first hole is not within the statistical scope, and the test results of the other three channels are as follows. (AVG: average value, STDEV: standard deviation, CV: precision)

[0047] The sampling data of channel 1 of the instrument model P18010011 is shown in Table 3. The sampling value ki and the standard color value K i The correlation analysis results are shown in Table 4. The sampling value k of channel 1 of the instrument model P18010011 is i With the standard color value K i The linear correlation R 2 2 It is 0.9989, which is greater than 0.99.

[0048] Table 3 - Channel 1 sampling data of instrument model P18010011

[0049]

[0050] Table 4 - Channel 2 Standard Color Value K of Instrument Model P18010011 i With the sampling value k i Correlation analysis

[0051]

[0052] The sampling data of channel 2 of the instrument model P18010011 is shown in Table 5. The sampling value ki and the standard color value K i The correlation analysis results are shown in Table 6. The sampling value k of channel 2 of the instrument model P18010011 is i With the standard color value K i The linear correlation R 2 2 It is 0.9989, which is greater than 0.99.

[0053] Table 5 - Channel 2 sampling data of instrument model P18010011

[0054]

[0055] Table 6 - Channel 2 Standard Color Value K of Instrument Model P18010011 i With the sampling value k i Correlation analysis

[0056]

[0057] The sampling data of channel 3 of the instrument model P18010011 is shown in Table 7. The sampling value ki and the standard color value K i The correlation analysis results are shown in Table 8. The sampling value k of channel 3 of the instrument model P18010011 is i With the standard color value K i The linear correlation R 2 2 It is 0.9989, which is greater than 0.99.

[0058] Table 7 - Channel 3 sampling data of instrument model P18010011

[0059]

[0060]

[0061] Table 8 - Channel 2 Standard Color Value K of Instrument Model P18010011 i With the sampling value k i Correlation analysis

[0062]

[0063] The sampling data of channel 1 of the instrument model P18010012 is shown in Table 9. The sampling value ki and the standard color value K i The correlation analysis results are shown in Table 10. The sampling value k of channel 1 of the instrument model P18010012 is i With the standard color value K i The linear correlation R 2 2 It is 0.9992, which is greater than 0.99.

[0064] Table 9 - Channel 1 sampling data of instrument model P18010012

[0065]

[0066] Table 10 - Channel 2 Standard Color Value K of Instrument Model P18010011 i With the sampling value k i Correlation analysis

[0067]

[0068] The sampling data of channel 2 of the instrument model P18010012 is shown in Table 11. The sampling value ki and the standard color value K i The correlation analysis results are shown in Table 12. The sampling value k of channel 1 of the instrument model P18010012 is i With the standard color value Ki The linear correlation R 2 2 It is 0.9986, which is greater than 0.99.

[0069] Table 11 - Channel 2 sampling data for instrument model P18010012

[0070]

[0071] Table 12 - Channel 2 Standard Color Value K of Instrument Model P18010011 i With the sampling value k i Correlation analysis

[0072]

[0073] The sampling data of channel 1 of the instrument model P18010012 is shown in Table 13. The sampling value ki and the standard color value K i The correlation analysis results are shown in Table 14. The sampling value k of channel 1 of the instrument model P18010012 is i With the standard color value K i The linear correlation R 2 2 It is 0.9983, which is greater than 0.99.

[0074] Table 13 - Channel 3 sampling data of instrument model P18010012

[0075]

[0076] Table 14 - Channel 2 Standard Color Value K of Instrument Model P18010011 i With the sampling value k i Correlation analysis

[0077]

[0078] The results show that: with the help of the standard grayscale bar as a calibration tool, the sampling values ​​k of the three channels of the two dry chemical analyzers i The standard color value K marked on the PANTONE grayscale bar (P179-2C, P179-3C, P179-6C, P179-10C, P179-12C, P179-14C) i The linear correlation R 2 2 All of them are greater than 0.99, and the standard grayscale bar can meet the quality control and calibration requirements of the dry chemical analyzer.

[0079] The technical solution of the present invention indirectly judges the color difference ΔE by reading the color difference between the color on the grayscale bar and the background color of the grayscale bar. i The correlation between the ΔE i Whether it can be used as a quality control parameter of the standard grayscale bar, and ultimately realize the quality evaluation of the dry chemical analyzer, reduces the production cost of the standard grayscale bar, optimizes the calibration quality control method of the grayscale bar and the dry chemical analyzer, and has a wide range of applications.

[0080] It should be understood that although this specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each implementation mode may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

[0081] The series of detailed descriptions listed above are only specific descriptions of feasible implementation methods of the present invention. They are not intended to limit the scope of protection of the present invention. All equivalent implementation methods or changes that do not deviate from the technical spirit of the present invention should be included in the scope of protection of the present invention.

Claims

1. A grayscale bar calibration method, characterized in that: The steps include: S1. Obtain a grayscale strip printed in the ideal color; the grayscale strip is made by color matching and layout in a computer according to the C, M, Y, and K values ​​corresponding to the color number selected from the PANTONE color card, and finally produced by professional digital printing equipment; S2. Obtain the color difference value ΔE of the grayscale bar i , get the standard color value K of the grayscale bar i ; The color difference value ΔE i Obtained by density meter measurement; the color difference value ΔE i is the color difference between the color printed on the grayscale bar and the background color of the grayscale bar; the background color of the grayscale bar is defined as number 0, the background color density value of number 0 is E0, the grayscale bar is provided with colors numbered 1 to N, and the density value of the color numbered i on the grayscale bar is E i , i∈1~N, the color difference value ΔE i =E i -E0; S3. Color difference value ΔE i And standard color value K i Perform correlation analysis. If the correlation R1 2 >0.99, the grayscale bar is qualified, otherwise it is unqualified; the standard color value K i Determined by the color number corresponding to the PANTONE color card.

2. A dry chemical analyzer inspection method, characterized in that: The steps include: S10. Obtaining the standard color value K of the standard grayscale bar according to the grayscale bar calibration method of claim 1. i， S2 0.According to the grayscale bar calibration method of claim 1, obtain the sampling value k of the standard grayscale bar i； S30. The sampling value k i And standard color value K i Perform correlation analysis. If the correlation R2 2 >0.99, the dry chemical analyzer is qualified, otherwise it is unqualified.

3. The dry chemical analyzer inspection method according to claim 2, characterized in that: Before step S10, the photoelectric signal and sampling value k of the dry chemical analyzer are constructed. i The mathematical model between and written into the algorithm, so that the step S20 can directly collect the photoelectric signal to obtain the sampling value k i .

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