Measurement apparatus, program, and measurement method

Abstract

To provide a technique related to a measuring device for measuring a component contained in a liquid sample, which hardly increases a time required for measurement even when a plurality of kinds of components to be corrected are contained.SOLUTION: The CPU21 acquires the degrees of at least two or more types of measurement error factors that can be contained in the blood sample 90 based on the imaging date 28 obtained by imaging the blood sample 90, and the CPU21 outputs a measured result derived based on a relationship between the contents and the degrees of the measurement error factors predetermined for each of the measurement error factors, which are predetermined for the measurement error factors.SELECTED DRAWING: Figure 9

Description

[Technical Field]

[0001] The present disclosure relates to a measurement device, a program, and a measurement method. [Background technology]

[0002] Since the measured values ​​obtained by measuring a liquid sample containing chyle, hemolysis, yellow stains, etc. tend to deviate from the true value, it is desirable to correct the measured values. As shown in Patent Document 1, for example, a conventional technique for correction is a technique in which sample information is obtained in advance in the dilution line section, and based on this measurement result, the details of the measurement to be performed in the reaction line section are selected, and the measurement results are corrected as necessary. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 01-287466 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in the correction method according to the conventional technology, when multiple types of components that need to be corrected are included, it is necessary to obtain the necessity of correction and the degree of correction for each of the components that need to be corrected, which may increase the time required for measurement.

[0005] The present disclosure aims to provide technology related to a measurement device that measures components contained in a liquid sample, and that does not increase the time required for measurement even when the sample contains multiple types of components that require correction. [Means for solving the problem]

[0006] A measurement device according to one embodiment of the present disclosure includes an imaging unit that images a liquid sample, an error factor acquisition unit that acquires the degree of at least two or more types of measurement error factors that may be contained in the liquid sample based on imaging data of the liquid sample, a measurement unit that measures the content of a component to be measured contained in the liquid sample, and an output unit that outputs a measurement result derived based on a relationship between the component to be measured and the content and the degree of the measurement error factor, which is predetermined for each of the measurement error factors.

[0007] In a measurement device according to one aspect of the present disclosure, an error factor acquisition unit acquires the degree of measurement error factors contained in a liquid sample based on imaging data. The output unit outputs a measurement result for each of the components to be measured, derived based on a relationship between the predetermined content of the components to be measured and the degree of the predetermined measurement error factors. This allows the measurement device, which measures components contained in a liquid sample, to derive the influence of the degree of the measurement error factors. Therefore, with the measurement device according to this aspect, the required time is less likely to increase even when multiple components to be corrected are contained, compared to when a single type of measurement error factor is acquired and the influence of the degree of the measurement error factor is derived. [Effects of the Invention]

[0008] According to the present disclosure, in a measurement device that measures components contained in a liquid sample, the time required for measurement is unlikely to increase even when the liquid sample contains multiple types of components that require correction. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 is a block diagram showing a configuration of a measurement device according to an embodiment of the present disclosure. [Figure 2] FIG. 1 is a diagram showing a reagent pad for coloring a sample liquid, used in a measurement device according to an embodiment of the present disclosure. [Figure 3]Continuing from FIG. 2, this is a diagram showing a reagent pad for coloring a sample liquid, which is used in a measurement device according to one embodiment of the present disclosure, and shows how the sample liquid is reacted with a reagent to change color and then measured. [Figure 4] 1A and 1B are diagrams illustrating a configuration of an imaging unit according to an embodiment of the present disclosure and how imaging data is created. [Figure 5] FIG. 10 is a diagram showing the relationship between the amount of bilirubin F and the color tone contained in the imaging data, determined based on the imaging data. [Figure 6] FIG. 10 is a diagram showing the relationship between the amount of bilirubin C and the color tone contained in the imaging data, determined based on the imaging data. [Figure 7] FIG. 10 is a diagram showing the relationship between the amount of hemolysis and the color tone contained in the imaging data, determined based on the imaging data. [Figure 8] FIG. 10 is a diagram showing the relationship between the degree of turbidity and the color tone contained in the imaging data, which is determined based on the imaging data. [Figure 9] 4 is a control flowchart of a control unit according to an embodiment of the present disclosure. [Figure 10] FIG. 10 is a diagram illustrating an example of the relationship between the degree of a measurement error factor and a measurement target component, illustrating a procedure in which a CPU derives a correction value in an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0010] An example of an embodiment of the present disclosure will be described below with reference to the drawings. In each drawing, the same or equivalent components and parts are designated by the same reference numerals. Furthermore, the dimensional proportions in the drawings are exaggerated for the sake of explanation and may differ from the actual proportions.

[0011] In the following description, the term "measurer" refers to a person who measures the content of a component contained in a sample liquid using a measurement device.

[0012] [Embodiment] (composition) FIG. 1 is a block diagram showing the configuration of a measuring device 10 according to this embodiment. The measuring device 10 according to this embodiment measures the content of a target component contained in a blood sample 90 (human blood centrifuged to collect plasma components), which is an example of a liquid sample. The person measuring the blood sample 90 is introduced into the device from a predetermined container (e.g., a Spitz tube) and measures the content of the target component using the measuring device 10. The measuring device 10 also measures the content of the target component contained in the introduced blood sample 90 according to a predetermined procedure described below, and displays the result on the display unit 36 ​​to inform the person measuring the content.

[0013] As shown in FIG. 1, the measurement device 10 according to this embodiment includes a control unit 20, an input unit 30, a display unit 36, a sample liquid transport unit 38, a measurement unit 32, and an imaging unit 34.

[0014] 1, the control unit 20 has a CPU 21, a RAM 22, a ROM 23, and an input / output interface (I / O) 25. These components are connected to one another via a control bus 24.

[0015] The CPU 21 is a central processing unit, and is an example of a "processor" in this embodiment, which executes various programs including the program 26 and controls other components. The RAM 22 temporarily stores the program 26 or data as a work area for the CPU 21. As will be described later, the RAM 22 also temporarily stores imaging data 28. The ROM 23 stores various programs 26, including the program 26, which is an example of a "program" according to the present disclosure, and various data, including correction data 27, which will be described later. The correction data 27 and the imaging data 28 will be described in detail later.

[0016] The input unit 30 is a device that receives instructions from a user and transmits the received instructions to the CPU 21 of the control unit 20. As the input unit 30, for example, an input device such as a touch panel or a pointing device is used.

[0017] The sample liquid transport unit 38 is a component that transports the sample liquid SS introduced into the device based on instructions from the control unit 20. More specifically, the sample liquid transport unit 38 removes the sample liquid SS from the container and transports it to the measurement unit 32, which will be described later, in order to have the measurement unit 32 measure the content of the component to be measured. The sample liquid transport unit 38 also removes the sample liquid SS from the container and transports it to the image capture unit 34, which will be described later, in order to have the image capture unit 34 acquire image data 28. The sample liquid transport unit 38 may have any configuration, but may include a liquid delivery pump such as a peristaltic pump, as well as a dispensing device that sucks the sample liquid SS from the container and injects it into another container such as a cuvette 68.

[0018] The display unit 36 ​​is a component that displays to the measurer the content of the measurement target component contained in the sample solution SS measured by the measurement unit 32 based on instructions from the control unit 20. The display unit 36 ​​may have any configuration, including display by a display or printer. Alternatively, for example, the display unit 36 ​​may be a touch panel that also serves as the input unit 30.

[0019] The measurement unit 32 is a component that measures the content of the measurement target component contained in the sample liquid SS. As an example, the measurement device 10 according to this embodiment detects the measurement target component contained in the sample liquid SS using a test strip 50 shown in FIG.

[0020] As shown in Fig. 2, the test strip 50 is composed of a plate-like support 52 and a reagent pad 54 arranged side by side on the surface of the support 52. As shown in Fig. 3, the reagent pad 54 has a reagent layer 56 and a sample holding layer 58 bonded thereto. The reagent layer 56 contains a reagent that reacts with the component to be measured contained in the sample liquid SS to produce a color.

[0021] 3, in the measurement unit 32 of this embodiment, the sample liquid SS reacts with the reagent when the sample liquid SS is dropped onto the sample holding layer 58 of the reagent pad 54. A colored layer 60 is produced by the component to be measured contained in the sample liquid SS that has reacted with the reagent.

[0022] In the measurement unit 32, monochromatic light of a predetermined wavelength is irradiated onto the color layer 60 by a light source (not shown). The incident light IL that strikes the color layer 60 is reflected by the surface of the color layer 60 and is emitted as reflected light RL. The two optical sensors 62 of the measurement unit 32 measure the intensity of the reflected light RL, and a result based on the reaction result (color tone) that occurs in the color layer 60 is generated as measurement data. Based on the generated measurement data, the CPU 21 measures the content of the measurement target component contained in the sample liquid SS. In other words, the measurement device 10 in this embodiment measures the result of changing the sample liquid SS from a liquid state to a different state by coloring it with a reagent.

[0023] As shown in FIG. 2, the test strip 50 in this embodiment has multiple reagent pads 54. Therefore, the measurement device 10 according to this embodiment is capable of measuring the contents of multiple target components contained in the sample liquid SS according to the type of reagent contained in each of the multiple reagent pads 54. While five reagent pads 54 are shown in FIG. 2 as an example, the number of reagent pads 54 is not limited to this. Furthermore, the type of target component contained in the sample liquid SS measured in one reagent pad 54 is not limited to one, and multiple types of target components may be measured from the color development results in one reagent pad 54 by appropriately changing the incident light IL.

[0024] As shown in Fig. 4, the imaging unit 34 has a background screen 66 and an imaging device 64 such as a CCD (Charge-Coupled Device) image sensor. More specifically, as shown in Fig. 4, a cuvette 68 filled with sample liquid SS is placed between the imaging device 64 and the background screen 66, and the imaging device 64 images the cuvette 68, thereby capturing an image of the sample liquid SS. The captured sample liquid SS is temporarily stored in the RAM 22 as imaging data 28. In the description of this embodiment, the imaging data 28 records RGB values ​​(respective values ​​of red, green, and blue) for each pixel. The format of the imaging data 28 may be any data format.

[0025] Any material may be used for the background screen 66, but it is preferable that it be a flat, even white surface so that the conditions for the image capture device 64 to capture the sample liquid SS do not change depending on the color of the sample liquid SS. Any material may be used for the cuvette 68, and the shape and capacity may be set appropriately. Furthermore, although not specifically shown in FIG. 4, the image capture unit 34 may further include a white light source.

[0026] 5 to 8 are graphs showing changes in the measurement results in the measurement unit 32 when bilirubin C, bilirubin F, hemoglobin, or chylomicrons is contained in the blood sample 90. In each of FIGS. 5 to 8, an image of a blood sample 90 containing known amounts of bilirubin C, bilirubin F, hemoglobin, or chylomicrons is captured, and the amounts of these components and changes in various values ​​in the image data 28 are shown. The amount of each component is an example of the "level of measurement error factors" in this embodiment.

[0027] As shown in Fig. 5, when bilirubin F was contained in blood sample 90, the Green value among the RGB values ​​in imaging data 28 changed. More specifically, as shown in Fig. 5, as the amount of bilirubin F increased, the Green value among the RGB values ​​decreased. From this, it can be said that the amount of bilirubin F contained in blood sample 90 can be measured based on imaging data 28, as shown in Fig. 5.

[0028] As shown in Fig. 6, when bilirubin C was contained in blood sample 90, the color temperature value changed in imaging data 28. More specifically, as shown in Fig. 6, as the amount of bilirubin C increased, the color temperature value decreased. From this, it can be said that the amount of bilirubin C contained in blood sample 90 can be measured based on imaging data 28, as shown in Fig. 6.

[0029] As shown in Fig. 7, when hemoglobin was contained in blood sample 90, the Blue value among the RGB values ​​in imaging data 28 changed. More specifically, as shown in Fig. 7, as the amount of hemoglobin increased, the Blue value among the RGB values ​​decreased. From this, it can be said that the amount of hemoglobin contained in blood sample 90 can be measured based on imaging data 28, as shown in Fig. 7.

[0030] As shown in Figure 8, when chylomicrons were contained in blood sample 90, the brightness value changed in imaging data 28. More specifically, as shown in Figure 8, the brightness value increased as the amount of chylomicrons increased. From this, it can be said that the amount of chylomicrons contained in blood sample 90 can be measured based on imaging data 28, as shown in Figure 8.

[0031] The measurement results shown in FIGS. 5 to 8 are recorded in the ROM 23 as correction data 27.

[0032] (Changes in measurement results due to the components to be measured contained in the blood sample 90) Incidentally, blood sample 90 may contain other components that reduce the measurement accuracy when measured by measurement unit 32. More specifically, it is known that if blood sample 90 contains bilirubin C, bilirubin F, hemoglobin, or chylomicrons (hereinafter, these components will be referred to as "components that cause measurement errors"), the measurement accuracy by measurement unit 32 will decrease.

[0033] When the blood sample 90 contains components that cause measurement errors, the incident light IL is absorbed or reflected by the color layer 60, causing the intensity of the reflected light RL to change compared to when the blood sample 90 does not contain components that cause measurement errors. Then, due to the change in the intensity of the reflected light RL, the measurement unit 32 may output, as the measurement result, a value that differs from the value that should normally be obtained.

[0034] For example, the values ​​shown in Table 1 below are the values ​​of the measurement error factor components when a measurement is performed on a measurement item (a component to be measured contained in a liquid sample) contained in a blood sample 90, and correction is required due to the influence of the measurement error factor components.

[0035] [Table 1]

[0036] For example, the values ​​shown in Table 2 below are the values ​​of the measurement error factor components when measuring the measurement items contained in the blood sample 90 (the components to be measured contained in the liquid sample) and the influence of the measurement error factor components is too large, making correction difficult.

[0037] [Table 2]

[0038] In Tables 1 and 2, blank columns indicate that the measurement item is not affected by the measurement error factor components or that the effect can be ignored. The values ​​shown in Table 1 are examples of specific values ​​of the "first threshold" in the present disclosure, and the values ​​shown in Table 2 are examples of specific values ​​of the "second threshold" in the present disclosure.

[0039] Here, the measuring device 10 according to this embodiment executes the procedure shown in Fig. 9 by the CPU 21 executing the program 26. The operation of the measuring device 10 according to this embodiment will be described with reference to Fig. 9.

[0040] (Measurement procedure) First, in step S102, the CPU 21 captures an image of the blood sample 90. More specifically, the CPU 21 drives the imager 64 to capture an image of the blood sample 90 poured into the cuvette 68, and stores the captured image data 28 in the RAM 22. The CPU 21 then proceeds to step S104.

[0041] Next, in step S104, CPU 21 measures the amounts of all measurement error causing components. In other words, in step S104, CPU 21 acquires the level of measurement error causing components contained in blood sample 90. More specifically, CPU 21 measures the amounts of bilirubin F, bilirubin C, hemoglobin, and chylomicrons, which are measurement error causing components contained in blood sample 90, based on imaging data 28 captured in step S102 and the graphs shown in Figures 5 to 8. Then, CPU 21 proceeds to step S106.

[0042] Next, in step S106, CPU 21 selects a measurement item. More specifically, CPU 21 selects one of the measurement target components in Table 1. Then, CPU 21 proceeds to step S108.

[0043] Next, in step S108, CPU 21 determines whether the value of any of the error factors is greater than a predetermined first threshold. More specifically, if the value of any of the error factor components exceeds a value shown in Table 1, CPU 21 makes a positive determination in step S108. In other words, if the values ​​of all of the error factors are equal to or less than the values ​​shown in Table 1, CPU 21 makes a negative determination in step S108.

[0044] Taking the example shown in Table 1, when the component of the measurement item is "ALB," CPU 21 makes a negative determination in step S108 because it is not affected by any of the measurement error cause components. On the other hand, when the component of the measurement item is "ALP," CPU 21 makes a positive determination in step S108 because it is affected by the measurement error cause components when bilirubin C is 5 or more or hemoglobin is 50 or more. If the CPU 21 makes a positive determination in step S108, it proceeds to step S110. On the other hand, if the CPU 21 makes a negative determination in step S108, it proceeds to step S112.

[0045] Next, in step S110, CPU 21 determines whether the value of any error factor component is greater than a predetermined second threshold. More specifically, if the value of the error factor exceeds the value shown in Table 2, CPU 21 makes a positive determination in step S110. In other words, if the values ​​of all error factors are equal to or less than the values ​​shown in Table 1, CPU 21 makes a negative determination in step S110.

[0046] If Table 2 indicates that there are multiple component values ​​for error factors, CPU 21 makes a determination in step S110 based on the value of each component. For example, if the component of the measurement item is "ALP," CPU 21 makes a positive determination in step S110 if the amounts of bilirubin C and hemoglobin are both equal to or less than the values ​​shown in Table 2. On the other hand, if either the bilirubin C or hemoglobin value exceeds the value shown in Table 2, CPU 21 makes a negative determination in step S110.

[0047] If the CPU 21 makes an affirmative determination in step S110, the process proceeds to step S110. On the other hand, if the CPU 21 makes a negative determination in step S110, the process proceeds to step S112.

[0048] Next, in step S112, CPU 21 drives measurement unit 32 to measure the values ​​of the measurement items contained in blood sample 90. More specifically, as shown in FIG. 3, blood sample 90 is dropped onto reagent pad 54, and the color developed is measured. CPU 21 also temporarily stores the measurement results in RAM 22. CPU 21 then proceeds to step S114.

[0049] Next, in step S114, CPU 21 determines whether or not the determination in step S108 was affirmative. In other words, CPU 21 makes a positive determination in step S114 if the measurement item is an item that is affected by error factors as shown in Tables 1 and 2 and is equal to or less than the value shown in Table 1. If the determination in step S114 is affirmative, CPU 21 proceeds to step S116. On the other hand, if the determination in step S114 is negative, CPU 21 proceeds to step S118.

[0050] Next, in step S116, CPU 21 executes a correction process for the measurement results. More specifically, for the measurement item values ​​obtained in step S112, correction process is executed according to the measurement error factor components based on the relationship between the degree of the predetermined measurement error factor and the measurement target component.

[0051] In step S116, CPU 21 performs correction processing for error factors determined to be affected by error factors in Tables 1 and 2. As a specific example, Table 1 indicates that the measurement item "ALP" is affected when the bilirubin C value is 5 or greater or when the hemoglobin value is 50 or greater. In this case, CPU 21 performs correction processing for the measurement target components, of bilirubin C or hemoglobin obtained in step S104, whose measurement values ​​are equal to or greater than the values ​​shown in Table 1, to obtain corrected values.

[0052] When both bilirubin C and hemoglobin are measured to be equal to or greater than the values ​​shown in Table 1, CPU 21 first performs a correction process on bilirubin C to obtain a corrected value. Then, CPU 21 further performs a correction process on the obtained corrected value based on the amount of hemoglobin, and sets the obtained corrected value as the result value.

[0053] A specific example of the correction process will be described with reference to Fig. 10 and equations (1) and (2). Equation (1) is an example of a correction formula used in the correction process in this embodiment.

[0054]

number

[0055] In addition, the measured value of the error factor is substituted for x in FIG. 10 and equation (1). m is the measurement value of the measurement item. The constant a is a predetermined value for the component of the measurement item and the component of the error factor. That is, the correction formula shown in formula (1) is obtained by multiplying the measurement value of the error factor measured in step S104 by the predetermined constant a, and then multiplying the measurement value y of the measurement item measured in step S112. m In other words, formula (1) is an example of the "relationship between the degree of a predetermined measurement error factor and a measurement target component" in this embodiment.

[0056] Here, the measured value x of the error factor measured in step S104 m , and the measured value y of the measurement item in step S112 m By substituting into equation (1), the value shown in equation (2) is obtained.

[0057]

number

[0058] In addition, y shown in FIG. 10 and equation (2) c is the measurement result of the component to be measured derived by the correction process. c is an example of a value obtained by correcting the content of the measurement target component measured by the measurement unit 32. That is, the CPU 21 executes the program 26 to obtain the measured value x of the measured error factor shown in FIG. 10 and formula (1). m , and the measured value y of the measured item m Based on the result of the measurement, the value y c is derived.

[0059] Here, the CPU 21 performs correction processing based on the program 26 and outputs the derived measurement results, which is an example of an "output unit" in this embodiment. In addition, the relationship between the degree of a predetermined measurement error factor and the measurement target component is included in correction data 27, for example.

[0060] In this embodiment, the specific correction process method is not limited to the above-described procedure, and any method may be used. For example, the constant a may use multiple values ​​corresponding to the amount of components of the measurement error factors. For example, the correction formula is not limited to the case where the constant a is equal to or greater than 0 and the correction formula is a straight line sloping upward to the right as shown in FIG. 10, but may be set to be less than 0 and the correction formula be a straight line sloping downward to the right. Furthermore, the correction formula is not limited to the straight line (correction using a linear function) as shown in FIG. 10 and equation (1). After performing the correction process on the measurement results, the CPU 21 proceeds to step S118.

[0061] Next, in step S118, CPU 21 outputs the results of the measurement items. More specifically, CPU 21 displays the values ​​measured in step S112, or the values ​​obtained in step S116 if correction processing has been performed, on display unit 36. If correction has been performed in step S116, CPU 21 displays the results of the measurement items on display unit 36 ​​with a message to the effect that correction has been performed. CPU 21 then proceeds to step S122.

[0062] In addition, the CPU 21 outputs an error in step S120. More specifically, the CPU 21 displays a message that the selected measurement item cannot be measured on the display unit 36. Then, the CPU 21 proceeds to step S122.

[0063] Next, in step S122, the CPU 21 determines whether there are other measurement items for the blood sample 90. More specifically, if the CPU 21 determines that there are other measurement items for the blood sample 90, it makes a positive determination. On the other hand, if the CPU 21 determines that there are no other measurement items, it makes a negative determination. If the CPU 21 makes a positive determination in step S122, it proceeds to step S106. On the other hand, if the CPU 21 makes a negative determination in step S122, it ends the measurement procedure.

[0064] In this way, in the measurement device 10 according to this embodiment, the imaging unit 34 acquires the type and amount of the measurement error cause component based on the imaging data 28 obtained by capturing an image of the blood sample 90. That is, in this embodiment, the CPU 21 executes the program 26 to acquire the type and amount of the measurement error cause component in step S104, which is an example of an error factor acquisition unit according to this embodiment.

[0065] In addition, if an error is displayed, i.e., if it is determined that the value of the measurement error factor component is too large, the CPU 21 may further display on the display unit 36 ​​a message urging the user to adjust the blood sample 90 to be introduced into the measurement device 10.

[0066] The measurement device 10, the program 26, and the measurement method according to this embodiment can provide the following actions and effects.

[0067] (Action and effect) In the measuring device 10 according to this embodiment, the error factor acquisition unit acquires the degree of measurement error factors contained in the blood sample 90 based on the imaging data 28. The output unit outputs the measurement results derived for each of the components to be measured, based on the relationship between the predetermined content of the components to be measured and the degree of the predetermined measurement error factors. This makes it possible to derive the influence of the degree of the measurement error factors in the measuring device 10 that measures the components to be measured contained in the blood sample 90. Therefore, according to the measuring device 10 according to this embodiment, the time required is less likely to increase even when multiple types of components to be measured that require correction are included, compared to when a single type of measurement error factor is acquired and the influence of the degree of the measurement error factor is derived.

[0068] Furthermore, in the measurement device 10 according to this embodiment, the measurement unit 32 measures the target components in the blood sample 90 in a state different from the state in which the imaging data 28 was acquired. That is, the measurement device 10 according to this embodiment can both acquire the imaging data 28 in a state suitable for acquiring the degree of measurement error factors and measure the target components after performing processing to improve the measurement accuracy of the target components. Therefore, the measurement device 10 according to this embodiment makes it easier to improve the measurement accuracy of the target components compared to when the state of the blood sample 90 is the same at the time the imaging data 28 is acquired and the time the target components are measured.

[0069] Furthermore, the measurement device 10 according to this embodiment includes at least one of bilirubin C, bilirubin F, hemoglobin, and chylomicrons as a measurement error factor. Therefore, with the measurement device 10 according to this embodiment, even when measuring a measurement target component in a blood sample 90, the time required for measurement is unlikely to increase.

[0070] Furthermore, when the level of a measurement error factor exceeds a predetermined first threshold, the measuring device 10 according to this embodiment outputs, as the corrected measurement result, a value obtained by correcting the content of the component to be measured measured by the measuring unit 32. Therefore, according to the measuring device 10 according to this embodiment, it is easier to prevent inadvertent correction of the component to be measured when correction is not necessary, compared to when the measurement results of the component to be measured are always corrected and output.

[0071] Furthermore, the measurement device 10 according to this embodiment notifies the user of the execution of the correction when the CPU 21 corrects the measurement results of the components to be measured. Therefore, the measurement device 10 according to this embodiment can alert the user to the corrected measurement results.

[0072] Furthermore, when the degree of the measurement error factor exceeds a predetermined second threshold, the measurement device 10 according to this embodiment notifies the subject that it is not possible to measure the target component contained in the blood sample 90. Therefore, the measurement device 10 according to this embodiment can prompt the subject to prepare the blood sample 90, compared to when the content of the target component in the blood sample 90 is always notified to the subject.

[0073] The program 26 according to the present embodiment also causes the CPU 21 to acquire the degree of measurement error factors contained in the blood sample 90 based on the imaging data 28. The program 26 also causes the CPU 21 to output, for each of the target components, a measurement result derived based on the relationship between the target components and the amount of the predetermined amount of the target components and the degree of the predetermined measurement error factors. By incorporating the program 26 into the measurement device 10 that measures the target components contained in the blood sample 90, the influence of the degree of the measurement error factors can be corrected. Therefore, according to the CPU 21 according to the present embodiment, the time required for measurement by the measurement device 10 is less likely to increase even when multiple target components to be corrected are contained, compared to when the CPU 21 is caused to acquire one type of measurement error factor and derive the influence of the degree of the measurement error factor.

[0074] Furthermore, the measurement method according to this embodiment acquires the degree of measurement error factors contained in the blood sample 90 based on the imaging data 28, and outputs measurement results derived for each of the target components based on the relationship between the target components and the amount of the predetermined amount of measurement error and the degree of the predetermined measurement error factors. This makes it possible to correct the influence of serum information in the measurement method for measuring the target components contained in the blood sample 90. Therefore, according to the measurement method according to this embodiment, the required time is less likely to increase even when multiple target components to be corrected are contained, compared to when a single type of measurement error factor is acquired and the influence due to the degree of the measurement error factor is derived.

[0075] Furthermore, the measurement method according to this embodiment measures the target components in the blood sample 90 in a state different from the state in which the imaging data 28 was acquired. That is, the measurement method according to this embodiment can both acquire the imaging data 28 in a state suitable for acquiring the degree of measurement error factors and measure the target components after performing processing to improve the measurement accuracy of the target components. Therefore, the measurement method according to this embodiment makes it easier to improve the measurement accuracy of the target components compared to when the state of the blood sample 90 is the same at the time the imaging data 28 is acquired and the time the target components are measured.

[0076] Furthermore, the measurement method according to this embodiment includes at least one of bilirubin C, bilirubin F, hemoglobin, and chylomicrons as a measurement error factor. Therefore, according to the measurement method according to this embodiment, the time required for measurement is unlikely to increase, especially when measuring a measurement target component in a blood sample 90.

[0077] Furthermore, in the measurement method according to this embodiment, when the degree of a measurement error factor exceeds a predetermined first threshold, a value obtained by correcting the content of the component to be measured measured by the measurement unit 32 is output as the measurement result. Therefore, the measurement method according to this embodiment makes it easier to prevent inadvertent correction of the component to be measured when correction is not necessary, compared to when the measurement results of the component to be measured are always corrected and output.

[0078] Furthermore, when the measurement result of the measurement target component is corrected, the measurement method according to this embodiment notifies the measurer of the execution of the correction, thereby making it possible to alert the measurer to the corrected measurement result.

[0079] Furthermore, when the level of the measurement error factor exceeds a predetermined second threshold, the measurement method according to this embodiment notifies the subject that the measurement target component contained in the blood sample 90 cannot be measured. Therefore, according to the measurement method according to this embodiment, the subject can be urged to prepare the blood sample 90, compared to when the content of the measurement target component in the blood sample 90 is always notified to the subject.

[0080] [Variations] In the above description, the measurement unit 32 measures the amount of a component of a measurement item in a state different from the state in which the image of the blood sample 90 is taken. The measurement method of the measurement unit 32 in this embodiment is not limited to this, and the measurement may be performed in the same state as the state in which the image of the blood sample 90 is taken. For example, the measurement unit 32 may be an HPLC (High Performance Liquid Chromatography) or the like, and may measure the blood sample 90 while it is still in a liquid state.

[0081] In the above description, the CPU 21 acquires four types of measurement error factor components, namely, bilirubin C, bilirubin F, hemoglobin, and chylomicrons, based on the imaging data 28. The operation of the CPU 21 is not limited to this, and may acquire measurement error factors including at least one of bilirubin C, bilirubin F, hemoglobin, and chylomicrons.

[0082] In the above description, in step S118, CPU 21 notifies the person taking the measurement that the measurement result has been corrected by displaying a message on display unit 36. However, the operation of CPU 21 in this embodiment is not limited to this, and notification of the correction does not necessarily have to be performed.

[0083] In the above description, CPU 21 outputs an error in step S120 without performing a measurement for the measurement item. The operation of CPU 21 in this embodiment is not limited to this, and may perform a measurement, issue a warning, and then display the result. In other words, the output of an error by CPU 21 may be performed arbitrarily.

[0084] In the above description, the input unit 30 and the display unit 36 ​​are configured to be included in the measuring device 10. However, the configuration of the input unit 30 and the display unit 36 ​​in this embodiment is not limited to this, and the input unit 30 and the display unit 36 ​​may be detachable from the measuring device 10. More specifically, a so-called tablet terminal may be used as the input unit 30 and the display unit 36, and the tablet terminal may be capable of communicating with the control unit 20. In this case, the tablet terminal is an example of the "output unit" in this embodiment.

[0085] In the above description, the imaging unit 34 is configured to be included in the measurement device 10. However, the imaging unit 34 in this embodiment is not limited to this, and may be configured to use a so-called tablet terminal. More specifically, the imaging data 28 may be created by using the imaging function of the tablet terminal to capture an image of the sample liquid SS poured into the cuvette 68, as in the above description. In this case, the control unit 20 acquiring the imaging data 28 from the tablet terminal is an example of an "error factor acquisition unit" in this embodiment.

[0086] In the above description, the processes executed by the control unit 20 can also be realized by a dedicated hardware circuit. In this case, the processes may be executed by a single piece of hardware or by multiple pieces of hardware.

[0087] In each of the above embodiments, the term "processor" refers to a processor in a broad sense, and includes general-purpose processors (e.g., CPU: Central Processing Unit, etc.) and dedicated processors (e.g., GPU: Graphics Processing Unit, ASIC: Application Specific Integrated Circuit, FPGA: Field Programmable Gate Array, programmable logic device, etc.).

[0088] Furthermore, the operations of the processor in each of the above embodiments may not only be performed by a single processor, but may also be performed by multiple processors located in physically separate locations working together. Alternatively, the operations performed by specific multiple processors in each of the above embodiments may be partially or completely integrated into a single processor. Furthermore, the order of the operations of the processor is not limited to the order described in each of the above embodiments, and may be changed as appropriate.

[0089] The program for operating the measuring device 10 may be provided by a computer-readable recording medium such as a USB (Universal Serial Bus) memory, a flexible disk, or a CD-ROM (Compact Disc Read Only Memory), or may be provided online via a network such as the Internet. In this case, the program recorded on the computer-readable recording medium is typically transferred and stored in a memory or storage device. The program may be provided as standalone application software, or may be incorporated into the software of each measuring device 10 as a function of that device.

[0090] In these modified examples, the same functions and effects as those described above can be obtained.

[0091] The above describes an embodiment of the present disclosure with reference to the accompanying drawings. However, it is clear that a person with ordinary knowledge in the field of technology to which the present disclosure pertains can conceive of various modifications or applications within the scope of the technical ideas set forth in the claims, and it is understood that these also naturally fall within the technical scope of the present disclosure.

[0092] Further preferred aspects of the present disclosure will be described below.

[0093] (Appendix 1) an imaging unit that images the liquid sample; an error factor acquisition unit that acquires the degree of at least two or more types of measurement error factors that may be contained in the liquid sample based on imaging data obtained by imaging the liquid sample; a measurement unit for measuring the content of a measurement target component contained in the liquid sample; an output unit that outputs a measurement result derived based on a relationship between the content of the component to be measured, the degree of the measurement error factor predetermined for each of the measurement error factors, and the component to be measured; A measuring device comprising:

[0094] (Appendix 2) the measurement unit measures the liquid sample in a state different from a state in which the imaging data of the liquid sample was acquired. 10. The measuring device of claim 1.

[0095] (Appendix 3) the error factor acquisition unit acquires the measurement error factors including at least one of bilirubin C, bilirubin F, hemoglobin, and chylomicrons. 10. The measuring device of claim 1 or 2.

[0096] (Appendix 4) the output unit outputs, as the measurement result, a value obtained by correcting the content of the measurement target component measured by the measurement unit when the degree of the measurement error factor exceeds a first threshold value predetermined for each measurement target component. 4. The measuring device of any one of claims 1 to 3.

[0097] (Appendix 5) When the output unit outputs the corrected measurement result, the output unit notifies the measurer of the correction of the measurement result. 5. The measuring device according to claim 4.

[0098] (Appendix 6) the output unit notifies the measurer that the measurement target component contained in the liquid sample cannot be measured when the degree of the measurement error factor exceeds a second threshold value predetermined for each of the measurement target components. 6. The measuring device of claim 4 or 5.

[0099] (Appendix 7) causing the imaging unit to image the liquid sample; causing an error factor acquisition unit to acquire the degree of at least two or more types of measurement error factors that may be contained in the liquid sample based on image data obtained by imaging the liquid sample; causing a measurement unit to measure the content of a measurement target component contained in the liquid sample; causing the output unit to output a measurement result derived based on a relationship between the content of the component to be measured, the degree of the measurement error factor predetermined for each of the measurement error factors, and the component to be measured; A program that causes a processor to execute the program.

[0100] (Appendix 8) imaging the liquid sample; acquiring the degree of at least two or more types of measurement error factors that may be contained in the liquid sample based on imaging data obtained by imaging the liquid sample; Measuring the content of a component to be measured contained in the liquid sample; outputting a measurement result derived based on a relationship between the degree of the measurement error factor and the measurement target component, the relationship being predetermined for the measurement target component; , including, a measurement method.

[0101] (Appendix 9) In measuring the content of the measurement target component, the liquid sample is measured in a state different from a state in which the imaging data of the liquid sample is acquired. Measurement method as described in Appendix 8.

[0102] (Appendix 10) The acquiring of the degree of the measurement error factors includes acquiring the degree of the measurement error factors including at least one of bilirubin C, bilirubin F, hemoglobin, and chylomicrons. A measurement method according to Appendix 8 or Appendix 9.

[0103] (Appendix 11) In the outputting of the derived measurement result, when the degree of the measurement error factor exceeds a first threshold value predetermined for each of the components to be measured, a value obtained by correcting the content of the component to be measured measured by the measurement unit is output as the measurement result. 11. The measurement method according to any one of Supplementary Notes 8 to 10.

[0104] (Appendix 12) When the corrected measurement result is output, notifying the measurer of the correction of the measurement result; 12. The measurement method according to claim 11, further comprising: [Explanation of symbols]

[0105] 10. Measuring equipment 20 Control Unit 21 CPU (an example of a processor) 22 RAM 23 ROM 24 Bus 25 I / O 26 Programs 27 Correction data 28 Imaging data 30 Input section 32 Measuring part 34 Imaging unit 36 Display section 38 Sample liquid transport unit 50 test specimens 52 Support 54 Reagent Pads 56 Reagent layer 58 Sample retention layer 60 Color layer 62 Optical Sensor 64 Imager 66 Background Screen 68 cuvettes 90 Blood Samples SS sample solution IL incident light RL reflected light

Claims

1. an imaging unit that images the liquid sample; an error factor acquisition unit that acquires the degree of at least two or more types of measurement error factors that may be contained in the liquid sample based on imaging data obtained by imaging the liquid sample; a measurement unit for measuring the content of a measurement target component contained in the liquid sample; an output unit that outputs a measurement result derived based on a relationship between the content of the component to be measured, the degree of the measurement error factor predetermined for each of the measurement error factors, and the component to be measured; A measuring device comprising:

2. the measurement unit measures the liquid sample in a state different from a state in which the imaging data of the liquid sample was acquired. The measuring device according to claim 1 .

3. the error factor acquisition unit acquires the measurement error factors including at least one of bilirubin C, bilirubin F, hemoglobin, and chylomicrons. The measuring device according to claim 1 .

4. the output unit outputs, as the measurement result, a value obtained by correcting the content of the measurement target component measured by the measurement unit when the degree of the measurement error factor exceeds a first threshold value predetermined for each measurement target component. The measuring device according to claim 1 .

5. When the output unit outputs the corrected measurement result, the output unit notifies the measurer of the correction of the measurement result.

5. The measuring device according to claim 4.

6. the output unit notifies the measurer that the measurement target component contained in the liquid sample cannot be measured when the degree of the measurement error factor exceeds a second threshold value predetermined for each of the measurement target components. The measuring device according to claim 4 or 5.

7. causing the imaging unit to image the liquid sample; causing an error factor acquisition unit to acquire the degree of at least two or more types of measurement error factors that may be contained in the liquid sample based on image data obtained by imaging the liquid sample; causing a measurement unit to measure the content of a measurement target component contained in the liquid sample; causing the output unit to output a measurement result derived based on a relationship between the content of the component to be measured, the degree of the measurement error factor predetermined for each of the measurement error factors, and the component to be measured; A program that causes a processor to execute the program.

8. imaging the liquid sample; acquiring the degree of at least two or more types of measurement error factors that may be contained in the liquid sample based on imaging data obtained by imaging the liquid sample; Measuring the content of a component to be measured contained in the liquid sample; outputting a measurement result derived based on a relationship between the degree of the measurement error factor and the measurement target component, the relationship being predetermined for the measurement target component; , including, a measurement method.

9. In measuring the content of the measurement target component, the liquid sample is measured in a state different from a state in which the imaging data of the liquid sample is acquired. The measurement method according to claim 8.

10. The acquiring of the degree of the measurement error factors includes acquiring the degree of the measurement error factors including at least one of bilirubin C, bilirubin F, hemoglobin, and chylomicrons. The measurement method according to claim 8.

11. In the outputting of the derived measurement result, when the degree of the measurement error factor exceeds a first threshold value predetermined for each of the components to be measured, a value obtained by correcting the content of the component to be measured measured by the measurement unit is output as the measurement result. The measurement method according to claim 8.

12. When the corrected measurement result is output, notifying the measurer of the correction of the measurement result; The measurement method of claim 11 further comprising:

13. In outputting the derived measurement result, if the degree of the measurement error factor exceeds a second threshold value predetermined for each of the components to be measured, the measurer is notified that the component to be measured contained in the liquid sample cannot be measured. The measurement method according to claim 11 or 12.

Images