CN115796210B - Sample detection method and related equipment - Google Patents
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Abstract
The application provides a sample detection method and related equipment. The method comprises the following steps: identifying a bar code generated after the optimization of a preset parameter optimization standard to obtain a first parameter; calculating a standard curve based on the first parameter; and collecting the fluorescence intensity of the reagent card corresponding to the bar code, and calculating the sample concentration of the reagent card based on the fluorescence intensity and the standard curve so as to finish the sample detection of the reagent card. According to the method and the device for detecting the parameters of the barcode, through optimizing the parameters of the calibration curve, the parameter information needed to be contained in the barcode is effectively reduced, the length of the barcode is further shortened, in addition, through establishing the functional relation between the calibration curve of the kit and the calibration curve of the barcode, in the actual detection process, the corresponding parameter information can be directly obtained only by scanning the barcode, the speed of sample detection is effectively accelerated, the reliability of detection is improved, and the method and the device are more convenient and flexible, and errors possibly caused by manual participation are reduced.
Description
Technical Field
The present disclosure relates to the field of sample detection technologies, and in particular, to a sample detection method and related devices.
Background
The calibration curve has various storage forms, and a chip ID card and a radio frequency IC card are common. Each kit is provided with an ID card or an IC card, the ID card or the IC card is an independent component part of the kit, the kit is inconvenient to store, the kit is easy to lose after being unsealed, and when a plurality of batches of kits and types of kits exist, the situation that the ID card or the IC card is misplaced is easy to occur.
The bar code is a graphic identifier for expressing target information by arranging a plurality of bar patterns and blanks according to a certain rule. Many businesses will therefore use bar codes to store information, but bar codes on existing reagent cards on the market store only item information and no calibration curve information.
Disclosure of Invention
In view of the foregoing, an object of the present application is to provide a sample detection method and related apparatus.
Based on the above objects, the present application provides a sample detection method, including:
identifying a bar code generated after the optimization of a preset parameter optimization standard to obtain a first parameter;
calculating a standard curve based on the first parameter;
and collecting the fluorescence intensity of the reagent card corresponding to the bar code, and calculating the sample concentration of the reagent card based on the fluorescence intensity and the standard curve so as to finish the sample detection of the reagent card.
In one possible implementation, the optimization process of the bar code includes:
optimizing the calibration curve parameters according to the preset parameter optimization standard to obtain second parameters;
based on the second parameter, calculating the first parameter according to a preset functional relation; the preset functional relationship is a functional relationship between a calibration curve of the kit and a calibration curve of the bar code;
and generating a corresponding bar code according to the first parameter.
In one possible implementation manner, the optimizing the calibration curve parameter according to the preset parameter optimization standard to obtain a second parameter includes:
determining the optimal decimal place of the calibration curve parameter according to the preset parameter optimization standard;
and obtaining the second parameter based on the optimal decimal place number and the calibration curve parameter.
In one possible implementation manner, the calculating, based on the second parameter, the first parameter according to a preset functional relationship includes:
summarizing the second parameters of multiple batches to obtain a second parameter average value;
and calculating the first parameter through the preset function relation based on the second parameter mean value and the preset function coefficient.
In one possible implementation, the calibration curve parameters include a first calibration parameter, a second calibration parameter, a third calibration parameter, and a fourth calibration parameter;
the parameter optimization standard preset by the first calibration parameter is represented by the following formula:
the parameter optimization standard preset by the second calibration parameter is represented by the following formula:
the parameter optimization standard preset by the third calibration parameter is represented by the following formula:
the parameter optimization standard preset by the fourth calibration parameter is represented by the following formula:
wherein i represents a decimal place,
a first calibration parameter representing i decimal places,/->
A second calibration parameter representing i decimal places,/->
Third calibration parameter representing i decimal places,/->
Fourth calibration parameter representing i decimal places,/->
Representing the first initial parameter,/->
Representing a second initial parameter,/->
Representing a third initial parameter, ">
The fourth initial parameter is represented, and Y represents the fluorescence intensity.
In one possible implementation, the preset functional relationship is represented by the following formula:
wherein ,
representing a first parameter corresponding to the first calibration parameter, < >>
Representing a first parameter corresponding to the second calibration parameter, < >>
Representing the first parameter corresponding to the third calibration parameter, < >>
First parameter corresponding to fourth calibration parameter, < ->
A first calibration parameter representing i decimal places,/->
A second calibration parameter representing i decimal places,/->
Third calibration parameter representing i decimal places,/->
Fourth calibration parameter representing i decimal places,/->
Mean value of the first parameter corresponding to the first calibration parameter of the kit of the plurality of batches is indicated, +.>
Representing the mean value of the first parameters corresponding to the second calibration parameters of the multi-batch kit, ++>
Mean value of the first parameter corresponding to the third calibration parameter of the multi-batch kit is indicated,/->
The average value of the first parameters corresponding to the fourth calibration parameters of the multi-batch kit is represented by a, a represents the first coefficient in the functional relationship, b represents the second coefficient in the functional relationship, c represents the third coefficient in the functional relationship, d represents the fourth coefficient in the functional relationship, and e represents the fifth coefficient in the functional relationship.
In one possible implementation, the sample concentration of the reagent card is calculated by:
wherein X represents the sample concentration, A represents the first calibration curve parameter, B represents the second calibration curve parameter, C represents the third calibration curve parameter, D represents the fourth calibration curve parameter, and Y represents the fluorescence intensity.
Based on the same inventive concept, an embodiment of the present application further provides a sample detection apparatus, including:
the identification module is configured to identify the bar code generated after the optimization of the preset parameter optimization standard to obtain a first parameter;
the calculating module is configured to calculate a standard curve based on the first parameter;
and the optical path module is configured to acquire the fluorescence intensity of the reagent card corresponding to the bar code, calculate the sample concentration of the reagent card based on the fluorescence intensity and the standard curve, and finish the sample detection of the reagent card.
Based on the same inventive concept, the embodiment of the application also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the sample detection method according to any one of the above.
Based on the same inventive concept, embodiments of the present application also provide a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform any one of the above-described sample detection methods.
From the above, it can be seen that the sample detection method and the related device provided by the present application obtain the first parameter by identifying the barcode generated after the optimization of the preset parameter optimization standard; calculating a standard curve based on the first parameter; and collecting the fluorescence intensity of the reagent card corresponding to the bar code, and calculating the sample concentration of the reagent card based on the fluorescence intensity and the standard curve so as to finish the sample detection of the reagent card. According to the method and the device for generating the bar code, the initial calibration curve parameters are optimized, so that the data size of the calibration curve parameters is effectively reduced, the width of the bar code correspondingly generated is further effectively reduced, and the occupied area of the bar code is reduced. In addition, store calibration curve in the bar code and can also prevent to lose the condition of making mistakes, in this application embodiment, every test strip corresponds to a bar code, in actual testing process, detection device can directly acquire corresponding calibration curve parameter through the bar code, has effectively accelerated the detection rate of sample, has increased the reliability of sample testing result, and is more convenient nimble, in addition, can also effectively reduce the error that manual operation brought.
Drawings
In order to more clearly illustrate the technical solutions of the present application or related art, the drawings that are required to be used in the description of the embodiments or related art will be briefly described below, and it is apparent that the drawings in the following description are only embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort to those of ordinary skill in the art.
FIG. 1 is a flow chart of a sample detection method according to an embodiment of the present application;
FIG. 2a is a schematic diagram of a bar code before optimization in accordance with an embodiment of the present application;
FIG. 2b is a schematic diagram of an optimized bar code according to an embodiment of the present application;
FIG. 3 is a schematic view of a sample detection device according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings.
It should be noted that unless otherwise defined, technical or scientific terms used in the embodiments of the present application should be given the ordinary meaning as understood by one of ordinary skill in the art to which the present application belongs. The terms "first," "second," and the like, as used in embodiments of the present application, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", etc. are used merely to indicate relative positional relationships, which may also be changed when the absolute position of the object to be described is changed.
As described in the background art section, the present calibration curve is stored in various ways, but is stored in a part independent of the reagent card, such as an individual chip ID card or a radio frequency IC card, which is inconvenient to store and is easy to be lost after the reagent kit is unsealed. In addition, in the prior art, many people can utilize bar codes to store information, but bar codes on existing reagent cards in the market are only used for storing project information at present, and no calibration curve information exists, and because the information of the calibration curve is longer, if the calibration curve information is placed in the bar codes, the bar codes are too long, the length of the bar codes cannot be well adapted to the length of the reagent cards, and the detection is inconvenient in the actual detection process.
In view of the above, an embodiment of the present application proposes a sample detection method, which identifies a barcode generated after optimization by a preset parameter optimization standard, to obtain a first parameter; calculating a standard curve based on the first parameter; and collecting the fluorescence intensity of the reagent card corresponding to the bar code, and calculating the sample concentration of the reagent card based on the fluorescence intensity and the standard curve so as to finish the sample detection of the reagent card. According to the method and the device for generating the bar code, the initial calibration curve parameters are optimized, so that the data size of the calibration curve parameters is effectively reduced, the width of the bar code correspondingly generated is further effectively reduced, and the occupied area of the bar code is reduced. In addition, store calibration curve in the bar code and can also prevent to lose the condition of making mistakes, in this application embodiment, every test strip corresponds to a bar code, in actual testing process, detection device can directly acquire corresponding calibration curve parameter through the bar code, has effectively accelerated the detection rate of sample, has increased the reliability of sample testing result, and is more convenient nimble, in addition, can also effectively reduce the error that manual operation brought.
The technical solutions of the embodiments of the present application are described in detail below by specific embodiments.
Referring to fig. 1, a sample detection method according to an embodiment of the present application includes the following steps:
step S101, identifying a bar code generated after optimization by a preset parameter optimization standard to obtain a first parameter;
step S102, calculating a standard curve based on the first parameter;
and step S103, collecting the fluorescence intensity of the reagent card corresponding to the bar code, and calculating the sample concentration of the reagent card based on the fluorescence intensity and the standard curve so as to finish the sample detection of the reagent card.
For step S101, in the actual detection, the information setting parameters of different items are written into the upper computer software, and different bar codes are used as identification marks of different items, so that the management of different types of kits is facilitated. And the reagent card is inserted into a detection area of a fluorescent instrument after sample addition, and the fluorescent instrument scans bar code information and transmits the bar code information to upper computer software through an optical path module. After the upper computer software receives the bar code information, the type of the kit and the detection control program of the kit are identified, a detection command is issued, and the light path module acquires the fluorescence intensity. Meanwhile, the upper computer software analyzes parameter information in the bar code according to a preset program to obtain a calibration curve.
The bar code is optimized by a preset parameter optimization standard.
Specifically, the sample concentration measurement value of the initial calibration curve is known as a control group, the sample concentration measurement value of the calibration curve with different precision is known as an experimental group, the experimental group has no obvious difference from the control group, and the precision of the calibration curve is qualified.
In this embodiment, the specific optimization process of the bar code is: optimizing the calibration curve parameters according to the preset parameter optimization standard to obtain second parameters;
based on the second parameter, calculating the first parameter according to a preset functional relation; the preset functional relationship is a functional relationship between a calibration curve of the kit and a calibration curve of the bar code.
In the above step, the optimizing the calibration curve parameter according to the preset parameter optimization standard to obtain a second parameter includes:
determining the optimal decimal place of the calibration curve parameter according to the preset parameter optimization standard;
and obtaining the second parameter based on the optimal decimal place number and the calibration curve parameter.
Specifically, in this embodiment, the parameter optimization criteria preset by the first calibration parameters are represented by the following formula:
the parameter optimization standard preset by the second calibration parameter is represented by the following formula:
the parameter optimization standard preset by the third calibration parameter is represented by the following formula:
the parameter optimization standard preset by the fourth calibration parameter is represented by the following formula:
wherein i represents a decimal place,
a first calibration parameter representing i decimal places,/->
A second calibration parameter representing i decimal places,/->
Third calibration parameter representing i decimal places,/->
Fourth calibration parameter representing i decimal places,/->
Representing the first initial parameter,/->
Representing a second initial parameter,/->
Representing a third initial parameter, ">
The fourth initial parameter is represented, and Y represents the fluorescence intensity.
In the above steps, different decimal numbers are taken for each calibration curve parameter, and the percentage of the phase difference between the measured value of the sample concentration obtained according to the decimal numbers and the measured value of the sample concentration of the initial calibration curve is further calculated, so that the optimization standard of the corresponding parameter is satisfied.
In this embodiment, the initial calibration curve parameter is 5 bits, the measurement value of the sample concentration of the initial calibration curve is known as a control group, the measurement value of the sample concentration of the calibration curve with different precision is an experimental group, for example, the decimal number is 4, the decimal number is 3, the decimal number is 2, the decimal number is 1, and the decimal number is 0, and the precision of each parameter can be determined separately only if the experimental group and the control group have no obvious difference, but the precision of the calibration curve can be qualified. In this example, no significant difference means that the relative deviation between the measured value from the control group between the measured values of the different decimal places needs to be between-2% and 2%. After each parameter is optimized in precision, the difference between the optimized parameter measurement value and the initial calibration curve measurement value is analyzed.
In this embodiment, for the first calibration parameter, the relative deviation between the measurement value and the measurement value of the control group is 0.000%, between-2% and 2%, the requirement is satisfied, the relative deviation between the measurement value and the measurement value of the control group is 0.002% -0.004%, between-2% and 2%, the requirement is satisfied, the relative deviation between the measurement value and the measurement value of the control group is 0.041% -0.085%, between-2% and 2%, the requirement is satisfied, the relative deviation between the measurement value and the measurement value of the control group is 0.736% -1.543%, the requirement is satisfied, the relative deviation between the measurement value and the measurement value of the control group is-12.747% -6.540%, the requirement is not satisfied, and the requirement is not satisfied, when the fraction is 0. In summary, when the decimal numbers 4, 3, 2, and 1 are all required for the first calibration parameter, in combination with the purpose of the present application, in order to optimize the parameters of the standard curve, the parameters of the standard curve are simplified, so that the length of the finally obtained bar code is effectively reduced, and therefore, the minimum value is taken among the decimal numbers satisfying the conditions, and the optimal decimal number of the first calibration parameter of the calibration curve is 1 for the first calibration parameter.
For the second calibration parameter, the relative deviation between the measured value and the measured value of the control group is between-0.016% and 0.000%, between-2% and 2%, the requirement is satisfied, the relative deviation between the measured value and the measured value of the control group is between-0.174% -0.004%, between-2% and 2%, the relative deviation between the measured value and the measured value of the control group is-2.273% -0.051%, the relative deviation between the measured value and the measured value of the control group is not-2% -0.292%, the relative deviation between the measured value and the measured value of the control group is-12.373-0.292%, the relative deviation between the measured value and the measured value of the control group is not-2%, and the requirement is not satisfied when the decimal number is 1. For the reasons stated above, the smallest decimal place satisfying the requirements is taken as the optimal decimal place for the parameter. For the second calibration parameter, the optimal decimal number of the second calibration parameter of the calibration curve is 3.
For the third calibration parameter, the relative deviation between the measured value and the measured value of the control group is 0.000%, between-2% and 2%, the requirement is satisfied, the relative deviation between the measured value and the measured value of the control group is 0.000%, between-2% and 2%, the relative deviation between the measured value and the measured value of the control group is 0.002%, between-2% and 2%, the requirement is satisfied, the relative deviation between the measured value and the measured value of the control group is 0.011%, between-2% and 2%, the requirement is satisfied, and the relative deviation between the measured value and the measured value of the control group is 0.194%, and the requirement is satisfied, between-2% and 2%, when the decimal number is 0, when the decimal number is 2, the third calibration parameter is 4. For the reasons stated above, the smallest decimal number satisfying the requirements is taken as the smallest decimal number of the parameter. For the third calibration parameter, the optimal decimal place of the third calibration parameter of the calibration curve is 3.
For the fourth calibration parameter, the relative deviation between the measured value and the measured value of the control group is 0.001-0.071% >, between-2% and 2%, the requirement is satisfied, the relative deviation between the measured value and the measured value of the control group is-0.106- (-0.002%) when the decimal number is 3, between-2% and 2%, the requirement is satisfied, the relative deviation between the measured value and the measured value of the control group is 0.143% -6.967%, not between-2% and 2%, not satisfied, and the relative deviation between the measured value and the measured value of the control group is-61.670% - (-1.309%) when the decimal number is 1, not satisfied. For the reasons stated above, the smallest decimal place satisfying the requirements is taken as the optimal decimal place for the parameter. For the third calibration parameter, the optimal decimal place of the third calibration parameter of the calibration curve is 3.
To sum up, the optimal decimal place corresponding to each calibration parameter is obtained.
And obtaining a second parameter based on the determined optimal decimal place and the calibration curve parameter.
Specifically, in this embodiment, the calibration curve parameter is rounded according to the corresponding optimal decimal place obtained in the foregoing step, so as to obtain the corresponding second parameter.
After the second parameter is calculated, the first parameter is calculated according to a preset functional relation; the preset functional relationship is a functional relationship between a calibration curve of the kit and a calibration curve of the bar code.
The preset functional relationship is represented by the following formula:
wherein ,
representing a first calibrationFirst parameter corresponding to parameter,/->
Representing a first parameter corresponding to the second calibration parameter, < >>
Representing the first parameter corresponding to the third calibration parameter, < >>
First parameter corresponding to fourth calibration parameter, < ->
A first calibration parameter representing i decimal places,/->
A second calibration parameter representing i decimal places,/->
Third calibration parameter representing i decimal places,/->
Fourth calibration parameter representing i decimal places,/->
Mean value of the first parameter corresponding to the first calibration parameter of the kit of the plurality of batches is indicated, +.>
Representing the mean value of the first parameters corresponding to the second calibration parameters of the multi-batch kit, ++>
Mean value of the first parameter corresponding to the third calibration parameter of the multi-batch kit is indicated,/->
Representing the mean value of the first parameters corresponding to the fourth calibration parameters of the multi-batch kit, a represents the first coefficient in the functional relationship, b represents the functional relationshipC represents a third coefficient in the functional relationship, d represents a fourth coefficient in the functional relationship, and e represents a fifth coefficient in the functional relationship.
Wherein the mean value of the first parameter is calculated by:
wherein n represents the number of kit batches.
And after the optimization of the steps, obtaining a final optimized first parameter, and converting the first parameter into a bar code.
In the step, a plurality of batches of kit calibration curve information is accumulated, the parameter ABCD is optimized, and a function relation between the kit calibration curve and the kit bar code calibration curve is established in a mode of confirming optimization by means of the number of reference nodes and the length of the bar code.
Referring to fig. 2a, a schematic diagram of a barcode before optimization in an embodiment of the present application is shown, and referring to fig. 2b, a schematic diagram of a barcode after optimization in an embodiment of the present application is shown.
As shown in fig. 2a, which is a schematic diagram of a bar code before optimization in the present application, and fig. 2b is a schematic diagram of a bar code after optimization in the present application, it can be obviously seen from the figure that, compared with a bar code before optimization, the bar code after optimization in the technical scheme in the present application effectively shortens the length of the bar code before optimization, and is convenient to be placed on a reagent card.
For step S102, in the above step, after the optimized barcode is obtained, in the actual detection process, the first parameter stored in the barcode can be obtained by only scanning the corresponding barcode, after the first parameter is obtained, the first parameter is reversely pushed based on a formula for calculating the first parameter, and then the parameter information in the barcode is analyzed by the upper computer software according to a predetermined program, so as to obtain the standard curve.
And after the standard curve is obtained, collecting the fluorescence intensity of the reagent card corresponding to the bar code, and calculating the sample concentration of the reagent card based on the fluorescence intensity and the standard curve so as to finish the sample detection of the reagent card.
When the concentration calculation equation is a four-parameter equation, the sample concentration of the reagent card is calculated by:
wherein X represents the sample concentration, A represents the first calibration curve parameter, B represents the second calibration curve parameter, C represents the third calibration curve parameter, D represents the fourth calibration curve parameter, and Y represents the fluorescence intensity.
When the concentration calculation equation is a quadratic equation, the sample concentration of the reagent card is calculated by:
or (b)
According to the embodiment, the sample detection method identifies the bar code generated after the optimization of the preset parameter optimization standard, and obtains the first parameter; calculating a standard curve based on the first parameter; and collecting the fluorescence intensity of the reagent card corresponding to the bar code, and calculating the sample concentration of the reagent card based on the fluorescence intensity and the standard curve so as to finish the sample detection of the reagent card. According to the method and the device for generating the bar code, the initial calibration curve parameters are optimized, so that the data size of the calibration curve parameters is effectively reduced, the width of the bar code correspondingly generated is further effectively reduced, and the occupied area of the bar code is reduced. In addition, store calibration curve in the bar code and can also prevent to lose the condition of making mistakes, in this application embodiment, every test strip corresponds to a bar code, in actual testing process, detection device can directly acquire corresponding calibration curve parameter through the bar code, has effectively accelerated the detection rate of sample, has increased the reliability of sample testing result, and is more convenient nimble, in addition, can also effectively reduce the error that manual operation brought.
It should be noted that, the method of the embodiments of the present application may be performed by a single device, for example, a computer or a server. The method of the embodiment can also be applied to a distributed scene, and is completed by mutually matching a plurality of devices. In the case of such a distributed scenario, one of the devices may perform only one or more steps of the methods of embodiments of the present application, and the devices may interact with each other to complete the methods.
It should be noted that some embodiments of the present application are described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments described above and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
Based on the same inventive concept, the application also provides a sample detection device corresponding to the method of any embodiment.
Referring to fig. 3, the sample detection apparatus includes:
the identifying module 31 is configured to identify the bar code generated after the optimization of the preset parameter optimization standard, so as to obtain a first parameter;
a calculation module 32 configured to calculate a standard curve based on the first parameter;
and the optical path module 33 is configured to collect the fluorescence intensity of the reagent card corresponding to the bar code, calculate the sample concentration of the reagent card based on the fluorescence intensity and the standard curve, and complete the sample detection of the reagent card.
For convenience of description, the above devices are described as being functionally divided into various modules, respectively. Of course, the functions of each module may be implemented in the same piece or pieces of software and/or hardware when implementing the present application.
The device of the foregoing embodiment is configured to implement the corresponding sample detection method in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which is not described herein.
Based on the same inventive concept, the application also provides an electronic device corresponding to the method of any embodiment, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor implements the sample detection method of any embodiment when executing the program.
Fig. 4 shows a more specific hardware architecture of an electronic device according to this embodiment, where the device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 implement communication connections therebetween within the device via a bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit ), microprocessor, application specific integrated circuit (ApplicationSpecific Integrated Circuit, ASIC), or one or more integrated circuits, etc. for executing relevant programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory ), static storage device, dynamic storage device, or the like. Memory 1020 may store an operating system and other application programs, and when the embodiments of the present specification are implemented in software or firmware, the associated program code is stored in memory 1020 and executed by processor 1010.
The input/output interface 1030 is used to connect with an input/output module for inputting and outputting information. The input/output module may be configured as a component in a device (not shown) or may be external to the device to provide corresponding functionality. Wherein the input devices may include a keyboard, mouse, touch screen, microphone, various types of sensors, etc., and the output devices may include a display, speaker, vibrator, indicator lights, etc.
It should be noted that although the above-described device only shows processor 1010, memory 1020, input/output interface 1030, communication interface 1040, and bus 1050, in an implementation, the device may include other components necessary to achieve proper operation. Furthermore, it will be understood by those skilled in the art that the above-described apparatus may include only the components necessary to implement the embodiments of the present description, and not all the components shown in the drawings.
The electronic device of the foregoing embodiment is configured to implement the corresponding sample detection method in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which is not described herein.
Based on the same inventive concept, corresponding to any of the above embodiments of the method, the present application further provides a non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the sample detection method according to any of the above embodiments.
The computer readable media of the present embodiments, including both permanent and non-permanent, removable and non-removable media, may be used to implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device.
The storage medium of the foregoing embodiments stores computer instructions for causing the computer to perform the sample detection method according to any one of the foregoing embodiments, and has the advantages of the corresponding method embodiments, which are not described herein.
Those of ordinary skill in the art will appreciate that: the discussion of any of the embodiments above is merely exemplary and is not intended to suggest that the scope of the application (including the claims) is limited to these examples; the technical features of the above embodiments or in the different embodiments may also be combined within the idea of the present application, the steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present application as described above, which are not provided in detail for the sake of brevity.
Additionally, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures, in order to simplify the illustration and discussion, and so as not to obscure the embodiments of the present application. Furthermore, the devices may be shown in block diagram form in order to avoid obscuring the embodiments of the present application, and this also takes into account the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform on which the embodiments of the present application are to be implemented (i.e., such specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the application, it should be apparent to one skilled in the art that embodiments of the application can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative in nature and not as restrictive.
While the present application has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of those embodiments will be apparent to those skilled in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.
The present embodiments are intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Accordingly, any omissions, modifications, equivalents, improvements and/or the like which are within the spirit and principles of the embodiments are intended to be included within the scope of the present application.
Claims (6)
1. A method of sample detection comprising:
identifying a bar code generated after the optimization of a preset parameter optimization standard to obtain a first parameter;
calculating a standard curve based on the first parameter;
collecting the fluorescence intensity of the reagent card corresponding to the bar code, and calculating the sample concentration of the reagent card based on the fluorescence intensity and the standard curve to finish the sample detection of the reagent card;
the optimization process of the bar code comprises the following steps:
optimizing the calibration curve parameters according to the preset parameter optimization standard to obtain second parameters;
based on the second parameter, calculating the first parameter according to a preset functional relation; the preset functional relationship is a functional relationship between a calibration curve of the kit and a calibration curve of the bar code;
generating a corresponding bar code according to the first parameter;
the optimizing the calibration curve parameters according to the preset parameter optimization standard to obtain second parameters includes:
determining the optimal decimal place of the calibration curve parameter according to the preset parameter optimization standard;
obtaining the second parameter based on the optimal decimal place number and the calibration curve parameter;
the calculating, based on the second parameter, the first parameter according to a preset functional relation includes:
summarizing the second parameters of multiple batches to obtain a second parameter average value;
calculating the first parameter through the preset function relation based on the second parameter mean value and a preset function coefficient;
the calibration curve parameters comprise a first calibration parameter, a second calibration parameter, a third calibration parameter and a fourth calibration parameter;
wherein the preset functional relationship is represented by the following formula:
wherein ,
representing a first parameter corresponding to the first calibration parameter, < >>
Representing a first parameter corresponding to the second calibration parameter,
representing the first parameter corresponding to the third calibration parameter, < >>
First parameter corresponding to fourth calibration parameter, < ->
A first calibration parameter representing i decimal places,/->
A second calibration parameter representing i decimal places,/->
Third calibration parameter representing i decimal places,/->
Fourth calibration parameter representing i decimal places,/->
Mean value of the first parameter corresponding to the first calibration parameter of the kit of the plurality of batches is indicated, +.>
Representing the mean value of the first parameters corresponding to the second calibration parameters of the multi-batch kit, ++>
Mean value of the first parameter corresponding to the third calibration parameter of the multi-batch kit is indicated,/->
The average value of the first parameters corresponding to the fourth calibration parameters of the multi-batch kit is represented by a, a represents the first coefficient in the functional relationship, b represents the second coefficient in the functional relationship, c represents the third coefficient in the functional relationship, d represents the fourth coefficient in the functional relationship, and e represents the fifth coefficient in the functional relationship.
2. The method according to claim 1, characterized in that the method further comprises:
the parameter optimization standard preset by the first calibration parameter is represented by the following formula:
the parameter optimization standard preset by the second calibration parameter is represented by the following formula:
the parameter optimization standard preset by the third calibration parameter is represented by the following formula:
the parameter optimization standard preset by the fourth calibration parameter is represented by the following formula:
wherein i represents a decimal place,
a first calibration parameter representing i decimal places,/->
A second calibration parameter representing i decimal places,/->
Third calibration parameter representing i decimal places,/->
A fourth calibration parameter representing i decimal places,
representing the first initial parameter,/->
Representing a second initial parameter,/->
Representing a third initial parameter, ">
The fourth initial parameter is represented, and Y represents the fluorescence intensity.
3. The method of claim 1, wherein the sample concentration of the reagent card is calculated by the formula:
wherein X represents the sample concentration, A represents the first calibration curve parameter, B represents the second calibration curve parameter, C represents the third calibration curve parameter, D represents the fourth calibration curve parameter, and Y represents the fluorescence intensity.
4. A sample testing device, comprising:
the identification module is configured to identify the bar code generated after the optimization of the preset parameter optimization standard to obtain a first parameter;
the calculating module is configured to calculate a standard curve based on the first parameter;
the light path module is configured to collect the fluorescence intensity of the reagent card corresponding to the bar code, calculate the sample concentration of the reagent card based on the fluorescence intensity and the standard curve, and complete the sample detection of the reagent card;
the identification module is further configured to:
optimizing the calibration curve parameters according to the preset parameter optimization standard to obtain second parameters;
based on the second parameter, calculating the first parameter according to a preset functional relation; the preset functional relationship is a functional relationship between a calibration curve of the kit and a calibration curve of the bar code;
generating a corresponding bar code according to the first parameter;
the optimizing the calibration curve parameters according to the preset parameter optimization standard to obtain second parameters includes:
determining the optimal decimal place of the calibration curve parameter according to the preset parameter optimization standard;
obtaining the second parameter based on the optimal decimal place number and the calibration curve parameter;
the calculating, based on the second parameter, the first parameter according to a preset functional relation includes:
summarizing the second parameters of multiple batches to obtain a second parameter average value;
calculating the first parameter through the preset function relation based on the second parameter mean value and a preset function coefficient;
the calibration curve parameters comprise a first calibration parameter, a second calibration parameter, a third calibration parameter and a fourth calibration parameter;
wherein the preset functional relationship is represented by the following formula:
wherein ,
representing a first parameter corresponding to the first calibration parameter, < >>
Representing a first parameter corresponding to the second calibration parameter,
representing the first parameter corresponding to the third calibration parameter, < >>
First parameter corresponding to fourth calibration parameter, < ->
A first calibration parameter representing i decimal places,/->
A second calibration parameter representing i decimal places,/->
Third calibration parameter representing i decimal places,/->
Fourth calibration parameter representing i decimal places,/->
Mean value of the first parameter corresponding to the first calibration parameter of the kit of the plurality of batches is indicated, +.>
Representing the mean value of the first parameters corresponding to the second calibration parameters of the multi-batch kit, ++>
Mean value of the first parameter corresponding to the third calibration parameter of the multi-batch kit is indicated,/->
The average value of the first parameters corresponding to the fourth calibration parameters of the multi-batch kit is represented by a, a represents the first coefficient in the functional relationship, b represents the second coefficient in the functional relationship, c represents the third coefficient in the functional relationship, d represents the fourth coefficient in the functional relationship, and e represents the fifth coefficient in the functional relationship.
5. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 3 when the program is executed by the processor.
6. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the method of any one of claims 1 to 3.
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| JP5882043B2 (en) * | 2011-12-20 | 2016-03-09 | 株式会社アルバック | Calibration curve creation device, calibration curve creation method and program, concentration quantification device and concentration quantification method. |
| CN106290281A (en) * | 2016-08-30 | 2017-01-04 | 广州蓝勃生物科技有限公司 | A kind of detection is with reagent assembly and reads recognition methods |
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