Sample analysis control method and sample analyzer

Abstract

The embodiment of the invention discloses a sample analysis control method and a sample analyzer, and the method comprises the following steps: blood coagulation reaction data of a to-be-detected sample is obtained, and the blood coagulation reaction data at least comprises optical reaction curves corresponding to different optical methods of the to-be-detected sample; performing curve characteristic analysis on the optical reaction curve, and selecting one optical reaction curve according to a curve characteristic analysis result to calculate a blood coagulation analysis result of the to-be-detected sample. Through the mode, curve characteristic analysis can be carried out through various optical reaction curves obtained by carrying out blood coagulation analysis on the to-be-detected sample under different optical methods, the analysis result of blood coagulation analysis of the to-be-detected sample is obtained, the optical method detection range is expanded, the detection speed and efficiency are improved, and the reagent cost caused by sample redetection is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of sample analysis, and in particular to a sample analysis control method and a sample analyzer. Background Art

[0002] As we all know, coagulation detection methodology mainly includes magnetic bead method and optical method. The optical method has become the mainstream methodology developed in recent years due to its simple principle, low cost and high sensitivity.

[0003] However, when using plasma samples for coagulation testing, there are sometimes interfering factors such as hemolysis, icterus and lipemia (HIL for short). The occurrence of these interfering factors will cause the generation of optical absorption signals, which may interfere with the results when using optical methods for testing.

[0004] The general solution at present is to use optical methods for pre-detection. When the signal reaches the set critical value and cannot be detected, the sample is processed and then re-detected using the same optical method. This method requires the sample to be processed again, which is costly and has low efficiency in sample coagulation detection.

[0005] Therefore, there is still a lack of a method to improve the efficiency of sample coagulation detection. Summary of the invention

[0006] The main purpose of the present invention is to provide a sample analysis control method and a sample analyzer, which can solve the problems of high cost and low efficiency of sample coagulation detection in the prior art.

[0007] To achieve the above object, the present invention provides a control method for sample analysis in a first aspect, the method comprising:

[0008] Acquiring coagulation reaction data of the sample to be tested, wherein the coagulation reaction data at least includes optical reaction curves corresponding to different optical methods of the sample to be tested;

[0009] The optical response curve is subjected to a curve characteristic analysis, and an optical response curve is selected according to the curve characteristic analysis result to calculate and obtain the coagulation analysis result of the sample to be tested.

[0010] In a feasible implementation, the optical response curves include at least a first optical response curve and a second optical response curve, and the step of performing curve characteristic analysis on the optical response curves and selecting an optical response curve according to the curve characteristic analysis results to calculate and obtain the coagulation analysis result of the sample to be tested includes:

[0011] Performing curve characteristic analysis on the first optical response curve to determine a first curve characteristic;

[0012] When there is no abnormality in the first curve feature, the coagulation time of the sample to be tested is calculated according to the first optical response curve, and the coagulation analysis result includes the coagulation time;

[0013] When the first curve characteristic is abnormal, the coagulation time of the sample to be tested is calculated according to the second optical response curve.

[0014] In a feasible implementation, when the first curve characteristic is abnormal, the coagulation time of the sample to be tested is calculated according to the second optical response curve, including:

[0015] Performing curve characteristic analysis on the second optical response curve to determine a second curve characteristic;

[0016] When there is no abnormality in the second curve feature, the coagulation time of the sample to be tested is calculated according to the second optical response curve.

[0017] In a feasible implementation, the optical response curves include at least a first optical response curve and a second optical response curve, and the step of performing curve characteristic analysis on the optical response curves and selecting an optical response curve according to the curve characteristic analysis results to calculate and obtain the coagulation analysis result of the sample to be tested includes:

[0018] At the same time, the first optical response curve and the second optical response curve are analyzed to determine the first curve characteristic and the second curve characteristic, and the corresponding optical response curve with no abnormal curve characteristic is selected to calculate and obtain the coagulation time of the sample to be tested.

[0019] In a feasible implementation, the method further includes:

[0020] When both the first curve characteristic and the second curve characteristic are abnormal, the analysis result of the coagulation analysis of the re-prepared sample of the sample to be tested is obtained by using a magnetic bead method.

[0021] In a feasible implementation, the method further includes:

[0022] When there is an abnormality in the first curve feature and / or the second curve feature, an alarm message is output.

[0023] In a feasible implementation, the method further includes:

[0024] If the test item is one or more of TT, PT, APTT and FIB, the first optical response curve is a scattering response curve;

[0025] If the test item is one or more of DD, FDP, AT3 and INR, the first optical response curve is a transmission response curve.

[0026] In a feasible implementation, the method further includes:

[0027] The different optical reaction curves are obtained by time-sharing detection during the coagulation reaction of the same sample to be tested.

[0028] In a feasible implementation, the step of obtaining the coagulation reaction data of the sample to be tested includes:

[0029] During the coagulation reaction of the sample to be tested, receiving the photoelectric signal uploaded by the data acquisition channel shared by scattering and transmission;

[0030] Determine the data type of the photoelectric signal according to a preset working sequence, the data type includes scattering response data or transmission response data, and the working sequence is used to reflect the working time of the scattering unit and the transmission unit;

[0031] The first optical response curve and the second optical response curve are generated according to the photoelectric signal and the data type of the photoelectric signal.

[0032] In a feasible implementation, the method further includes:

[0033] The curve characteristics of the optical response curve include at least one of its own curve smoothness characteristics, its first-order derivative curve characteristics, and its second-order derivative curve characteristics.

[0034] In a feasible implementation, the method further includes:

[0035] It is determined in sequence whether the smoothness characteristic of the own curve, the first-order derivative curve characteristic, the second-order derivative curve characteristic and the preset threshold value satisfy a preset size relationship;

[0036] If any one of the curve characteristics of the self-curve smoothness characteristic, the first-order derivative curve characteristic, and the second-order derivative curve characteristic satisfies a preset size relationship, it is determined that the curve characteristic of the optical response curve is abnormal;

[0037] If the self-curve smoothness characteristic, the first-order derivative curve characteristic, and the second-order derivative curve characteristic do not satisfy the preset size relationship, it is determined that there is no abnormality in the curve characteristic of the optical response curve.

[0038] In a feasible implementation, the method further includes:

[0039] The first-order derivative curve feature includes: at least one of a first number, a first distance difference, a first ordinate, and a first abscissa distance;

[0040] Wherein, the first number is used to reflect the number of first curve peaks of the first derivative of the optical response curve; the first distance difference is used to reflect the distance difference between each first boundary point of the first curve peak and the second horizontal coordinate distance of the first curve peak; the first vertical coordinate is used to reflect the vertical coordinate of the first curve peak; the first horizontal coordinate distance is used to reflect the horizontal coordinate distance between each first boundary point;

[0041] The second-order derivative curve characteristics include: at least one of a second number, a second distance difference, a second ordinate, and a third abscissa distance;

[0042] Among them, the second number is used to reflect the total number of second curve peaks and curve valleys of the second-order derivative of the optical response curve; the second distance difference is used to reflect the distance difference between each second boundary point of the second curve peak and the fourth horizontal coordinate distance of the second curve peak; the second vertical coordinate is used to reflect the vertical coordinate of the second curve peak; the third horizontal coordinate distance is used to reflect the horizontal coordinate distance between each second boundary point.

[0043] To achieve the above object, the second aspect of the present invention provides a control device for sample analysis, the device comprising:

[0044] Data acquisition module: used for acquiring coagulation reaction data of the sample to be tested, wherein the coagulation reaction data at least includes optical reaction curves corresponding to different optical methods of the sample to be tested;

[0045] Coagulation analysis module: used to perform curve characteristic analysis on the optical response curve, and select an optical response curve according to the curve characteristic analysis result to calculate and obtain the coagulation analysis result of the sample to be tested.

[0046] To achieve the above objective, the third aspect of the present invention provides a sample analyzer, the sample analyzer at least comprising a controller, the controller being used to execute the steps of the control method as shown in the first aspect and any feasible implementation manner.

[0047] In a feasible implementation, the sample analyzer further includes:

[0048] The scattering unit, the transmission unit, the sample pool and the data acquisition channel shared by the scattering and transmission, the controller is respectively connected to the scattering unit, the transmission unit and the data acquisition channel, and the controller is also used to issue a first control instruction to the scattering unit and a second control instruction to the transmission unit;

[0049] The sample pool is used to hold the sample to be tested;

[0050] The scattering unit is used to emit scattered light to the sample to be tested when receiving a first control instruction;

[0051] The transmission unit is used to emit transmission light to the sample to be tested when receiving a second control instruction;

[0052] The data acquisition channel is used to collect scattered light and transmitted light passing through the sample to be tested to obtain scattering reaction data and transmission reaction data. The scattering reaction data is used to generate a scattering reaction curve, and the transmission reaction data is used to generate a transmission reaction curve.

[0053] To achieve the above-mentioned purpose, the fourth aspect of the present invention provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the steps of the control method shown in the first aspect and any feasible implementation method.

[0054] To achieve the above-mentioned purpose, the fourth aspect of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the control method shown in the first aspect and any feasible implementation method.

[0055] The embodiments of the present invention have the following beneficial effects:

[0056] The present invention provides a control method for sample analysis, the method comprising: obtaining coagulation reaction data of a sample to be tested, the coagulation reaction data at least including optical reaction curves corresponding to different optical methods of the sample to be tested; performing curve feature analysis on the optical reaction curve, and selecting an optical reaction curve according to the curve feature analysis result to calculate the coagulation analysis result of the sample to be tested. Through the above method, the curve feature analysis can be performed through a plurality of optical reaction curves obtained by coagulation analysis of the sample to be tested under different optical methods, and the analysis result of the coagulation analysis of the sample to be tested can be obtained, which expands the detection range of the optical method, improves the detection speed and efficiency, and reduces the reagent cost caused by sample retesting. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0058] in:

[0059] Figure 1 is a structural block diagram of a sample analyzer in an embodiment of the present invention;

[0060] Figure 2A flow chart of a control method for sample analysis in an embodiment of the present invention;

[0061] Figure 3 is another structural block diagram of a sample analyzer according to an embodiment of the present invention;

[0062] Figure 4 is a cross-sectional view of a sample analyzer according to an embodiment of the present invention;

[0063] Figure 5 Another flow chart of a control method for sample analysis according to an embodiment of the present invention;

[0064] Figure 6 It is a structural block diagram of a control device for sample analysis in an embodiment of the present invention;

[0065] Figure 7 4 is a structural block diagram of a computer device in an embodiment of the present invention. DETAILED DESCRIPTION

[0066] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0067] See also Figure 1 , Figure 1 is a structural block diagram of a sample analyzer in an embodiment of the present invention, such as Figure 1 The sample analyzer 00 shown in the figure at least includes a controller 10, and the controller 10 is mainly used to execute the control method of sample analysis shown in the present application. Figure 2 Take the sample analysis control method of the present application as an example to illustrate.

[0068] See also Figure 2 , Figure 2 FIG. 1 is a flow chart of a control method for sample analysis in an embodiment of the present invention. Figure 2 The method shown is applied to a sample analyzer, which includes but is not limited to a device with data processing capability such as a terminal or a server. The terminal may be a desktop terminal or a mobile terminal. The mobile terminal may specifically be at least one of a mobile phone, a tablet computer, a laptop computer, etc. The server may be implemented as an independent server or a server cluster composed of multiple servers. The sample analyzer may perform coagulation analysis on the sample to be tested to obtain the analysis result of the coagulation analysis of the sample to be tested, wherein: Figure 2 The method shown includes the following steps:

[0069] 201. Obtain coagulation reaction data of a sample to be tested, wherein the coagulation reaction data at least includes optical reaction curves corresponding to different optical methods of the sample to be tested;

[0070] It should be noted that in order to improve the efficiency of sample analysis, the present application uses different optical methods to perform coagulation analysis on the same sample to be tested, for example, by using different types of light to irradiate the same sample to be tested, or by using different light to irradiate the same sample to be tested successively, and collecting the photoelectric signal generated after each type of light irradiates the sample to be tested, the photoelectric signal can reflect the coagulation reaction change of the sample to be tested, so as to use the light signal to know the change of the sample to be tested during the coagulation analysis process, so as to obtain the optical reaction curve corresponding to different optical methods. Specifically, the sample analyzer will obtain the coagulation reaction data of the sample to be tested. Since different optical methods are used for coagulation reaction, the coagulation reaction data at least includes the optical reaction curves corresponding to different optical methods of the sample to be tested, and the coagulation reaction data is used to reflect the coagulation reaction change of the sample to be tested. Among them, the coagulation reaction curve is obtained by the photoelectric signal collected in real time during the coagulation reaction process. Taking the two optical methods of scattering and transmission as an example, if the optical reaction curve is a scattering reaction curve, the photoelectric signal reflects the light intensity change data, and if the optical reaction curve is a transmission reaction curve, the photoelectric signal reflects the absorbance data. The samples to be tested include but are not limited to plasma samples, and coagulation analysis includes but is not limited to plasma prothrombin time (PT), thrombin time (TT), activated partial thromboplastin time (APTT), fibrinogen (FIB), D-dimer (D-Dimer, abbreviated as DD), fibrinogen degradation product (FDP), antithrombin III (AT-III or AT3) and international normalized ratio (international normalized ratio, INR), etc., which can be used for the preliminary diagnosis of coagulation disorders, monitoring of anticoagulant drugs and preoperative routine coagulation function evaluation. One or more test items.

[0071] 202. Perform curve characteristic analysis on the optical response curve, and select an optical response curve according to the curve characteristic analysis result to calculate and obtain the coagulation analysis result of the sample to be tested.

[0072] After obtaining the optical response curves of the sample to be tested using different optical methods, the coagulation analysis results can be obtained using a variety of optical response curves. Specifically, the optical response curves are subjected to curve feature analysis, and an optical response curve is selected according to the curve feature analysis results to calculate the coagulation analysis results of the sample to be tested, wherein the curve feature analysis is mainly used to extract the curve features of the optical response curve, and analyze whether the extracted curve features are abnormal, and the curve feature analysis results are used to reflect whether the optical response curve is abnormal, and the curve feature analysis results may include abnormal or non-abnormal, etc., and then, at least one optical response curve is selected through the curve feature analysis results of each optical curve to calculate the coagulation analysis results of the sample to be tested. For example, an optical response curve without abnormality is selected to calculate the coagulation analysis results of the sample to be tested. Exemplarily, the coagulation point is found according to the derivative method or the threshold method, and the coagulation time is calculated, and the coagulation analysis results include the coagulation time.

[0073] The present invention provides a control method for sample analysis, the method comprising: obtaining coagulation reaction data of a sample to be tested, the coagulation reaction data at least including optical reaction curves corresponding to different optical methods of the sample to be tested; performing curve feature analysis on the optical reaction curve, and selecting an optical reaction curve according to the curve feature analysis result to calculate the coagulation analysis result of the sample to be tested. Through the above method, the curve feature analysis can be performed through a plurality of optical reaction curves obtained by coagulation analysis of the sample to be tested under different optical methods, and the analysis result of the coagulation analysis of the sample to be tested can be obtained, which expands the detection range of the optical method, improves the detection speed and efficiency, and reduces the reagent cost caused by sample retesting.

[0074] See also Figure 3 , Figure 3 FIG. 1 is another structural block diagram of a sample analyzer according to an embodiment of the present invention. Figure 3 The sample analyzer 00 shown in the figure at least includes a controller 10, and the controller 10 is used to execute the control method of sample analysis shown in the present application. Figure 5 Take the control method of sample analysis as an example to illustrate.

[0075] Furthermore, the sample analyzer 00 may further include: a scattering unit 20, a transmission unit 30, a sample pool 40, and a data acquisition channel 50 shared by scattering and transmission, wherein the controller 10 is respectively connected to the scattering unit 20, the transmission unit 30, and the data acquisition channel 50, and the controller 10 is further used to send a first control instruction to the scattering unit 20 and a second control instruction to the transmission unit 30;

[0076] Wherein, the sample pool 40 is used to hold the sample to be tested;

[0077] The scattering unit 20 is used to emit scattered light to the sample to be tested when receiving the first control instruction, that is, the scattering unit can emit scattered light to illuminate the sample to be tested in the sample pool, and the first control instruction is used to control the working state of the scattering unit, and the working state includes starting or shutting down, so that the scattering unit emits scattered light when it is in the first working state of starting, and stops emitting scattered light when it is in the second working state of shutting down;

[0078] The transmission unit 30 is used to emit transmission light to the sample to be tested when receiving the second control instruction, that is, the transmission unit can emit transmission light to illuminate the sample to be tested in the sample pool. Second Control The instruction is used to control the working state of the transmission unit, and the working state includes starting or shutting down, so that the transmission unit emits transmission light when it is in the first working state of starting, and stops emitting transmission light when it is in the second working state of shutting down;

[0079] The data acquisition channel 50 is used to collect scattered light and transmitted light passing through the sample to be tested to obtain scattered reaction data and transmitted reaction data, wherein the scattered reaction data can be light intensity data for generating a scattered reaction curve, and the transmitted reaction data can be absorbance data for generating a transmitted reaction curve. Exemplarily, scattered light and transmitted light passing through the sample to be tested are collected to obtain corresponding photoelectric signals, thereby obtaining scattered reaction data and transmitted reaction data. The data acquisition channel includes but is not limited to a photoelectric acquisition device, such as a photoelectric detector,

[0080] Exemplarily, the scattering unit 20, the transmission unit 30 and the scattering and transmission shared data acquisition channel 50 together constitute a scattering and transmission multiplexing detection channel. Figure 4 , Figure 42 is a cross-sectional view of a sample analyzer in an embodiment of the present invention; wherein the transmission unit 30 is composed of a first light source 31 (the light source includes but is not limited to LED or laser), a first aperture 32, a first collimating lens 33, a first filter 34, a sample pool 40, a second filter 51, and a second photodetector 52 arranged in sequence from top to bottom along the transmission light path, wherein the second filter 51 and the second photodetector 52 constitute a light collecting part (i.e., a data collecting part); the scattering unit 20 is composed of a second light source 21 (such as LED or laser, etc.), a second aperture 22, a second collimating lens 23, a third filter 24, a sample pool 40, and a fourth filter 51 and a second photodetector 52 arranged in sequence from left to right along the scattering light path, wherein the fourth filter 51 and the second photodetector 52 constitute a light collecting part (i.e., a data collecting part). The data acquisition channel 50 includes a second filter and a second photodetector, or a fourth filter and a second photodetector, that is, the scattered light path and the transmitted light path can use the same light collection part to collect the scattered light or the transmitted light to achieve multiplexing. The scattering unit 20, the transmission unit 30 and the data acquisition channel 50 also include an O-ring 35.

[0081] Among them, for the transmission light path, the light emitted by the LED light source passes through the first aperture and is shaped by the first collimating lens before reaching the sample pool, and the transmitted light is collected by the photodetector after passing through the sample to be tested; for the scattered light path, the light emitted by the LED light source passes through the second aperture and is shaped by the second collimating lens before reaching the sample pool, and part of the light reaches the photodetector after being scattered by the sample and is collected. Further, in order to avoid light interference between the scattered light path and the transmission light path, the transmission unit and the scattering unit are started and work alternately, for example, the scattering unit is started first to perform a coagulation test by the scattering method, and after the scattering unit is turned off, the transmission unit is started again to perform a coagulation test by the transmission method; or the transmission unit and the scattering unit are started alternately at a certain alternating frequency, which is not limited here.

[0082] The light intensity of the LED light source must first meet the requirements of the scattering project, and at the same time determine the hardware gain range of the scattering channel; within this gain range, the light intensity of the transmission channel is adjusted to adapt to the project requirements. Since the scattering signal in the scattering project test is relatively weak, in order to ensure that the signal collected by the photodetector is effective, the light power of the scattering channel LED is usually selected to be larger. Therefore, the light power of the transmission channel LED needs to be reduced to match the gain setting.

[0083] Furthermore, the function of the aperture is to block part of the divergent light of the light source LED, limit the beam diameter so that all the light passing through the aperture can enter the sample, ensure that the signal received by the photodetector is all the light after passing through the sample, and reduce the interference of stray light. Among them, the size of the aperture is related to the distance between the components. The component distance needs to be balanced according to the optimal solution of the pure scattering channel and the pure transmission channel. The distance between the aperture, sample pool, and photodetector is reasonably designed to achieve the best signal-to-noise ratio, and finally determine the component distance and aperture size suitable for the scattering project and the transmission project.

[0084] The collimating lens is used for beam shaping so that the spot size of the beam at the center of the sample meets certain requirements. After passing through the sample, it is ensured that the outgoing light can be completely received by the photodetector without a large divergence angle.

[0085] The function of the filter in front of the sample pool is to pass only the light in the band near the central wavelength of the LED to reduce the interference of stray light; the filter after the sample pool must be able to pass the signal light of the scattering channel and the transmission channel at the same time, and a bandpass filter is used, and the bandpass range can cover the central wavelength of the LED in the scattering channel and the transmission channel.

[0086] Furthermore, an additional aperture can be set before the filter of the data acquisition channel 50 and after the sample pool, and the aperture is used to limit the angle at which the light finally reaches the photodetector. The photodetector is used to receive transmitted light and scattered light, so its response bandwidth should cover the scattered light source and the transmitted light source, the response speed is fast, and the sensitive band is between the wavelengths of the two light sources, so that the signals of the two channels can be balanced.

[0087] It should be noted that by setting up a scattering transmission multiplexing channel, coagulation tests usually use plasma samples, which are sometimes accompanied by interfering substances (HIL) such as hemolysis (hemoglobin), jaundice (bilirubin), and lipemia (triglycerides). These interfering substances will produce optical absorption signals, with absorption distribution at 300-800nm, which may interfere with the results when tested by optical methods. And each interfering substance has its own absorption spectrum. For example, bilirubin has strong light absorption near 455nm, hemoglobin has strong light absorption at 415-430nm and 540-575nm, and triglycerides have a wide light absorption range. The transmission channel can better solve the HIL interference problem, realize the simultaneous detection of multiple optical methods, and also realize the supplement of scattering channel detection to obtain more accurate results.

[0088] See also Figure 5 , Figure 5 FIG. 1 is another flow chart of a control method for sample analysis in an embodiment of the present invention. Figure 5 The method shown includes the following steps:

[0089] 501. During the coagulation reaction of the sample to be tested, receiving a photoelectric signal uploaded by a scattering-transmission shared data acquisition channel;

[0090] It should be noted that the content of the above data acquisition channel can be referred to Figure 3 The contents of the data acquisition channel 50 in the data acquisition unit are not described here. Among them, the optical method includes but is not limited to the scattering method, the transmission method, etc. Therefore, in the coagulation reaction process of the sample to be tested, different optical methods are used to perform the coagulation reaction test, and then the sample analyzer can receive the photoelectric signal uploaded by the data acquisition channel shared by the scattering and transmission, so as to achieve the purpose of monitoring the real-time changes of the sample to be tested in the coagulation reaction test. When the transmission unit is in the start-up state, the collected photoelectric signal reflects the light intensity data, and when the scattering unit is in the start-up state, the collected photoelectric signal reflects the absorbance data. That is, different optical reaction curves are obtained by time-sharing detection during the coagulation reaction process of the same sample to be tested.

[0091] 502. Determine a data type of the photoelectric signal according to a preset working sequence, the data type including scattering response data or transmission response data, and the working sequence is used to reflect the working time of the scattering unit and the transmission unit;

[0092] 503. Generate the first optical response curve and the second optical response curve according to the photoelectric signal and the data type of the photoelectric signal;

[0093] Furthermore, after obtaining the photoelectric signal, the scattering reaction data or transmission reaction data of the sample to be tested can be extracted by using the preset working time of the transmission unit and the scattering unit. Specifically, the data type of the photoelectric signal is determined according to the preset working sequence, and the data type includes scattering reaction data or transmission reaction data, and the working sequence is used to reflect the working time of the scattering unit and the transmission unit, such as when the scattering unit is started and when it is closed, and when the transmission unit is started and when it is closed. The coagulation reaction data can also include scattering reaction data or transmission reaction data. Then, the first optical reaction curve and the second optical reaction curve are generated according to the data type of the photoelectric signal and the photoelectric signal. Under the action of the controller, the switch power supply of the scattering and transmission light source is alternately controlled according to the test items, so that the scattering and transmission multiplexing channels do not affect each other when testing the scattering items and the transmission items.

[0094] 504. Perform curve characteristic analysis on the optical response curve, and select an optical response curve according to the curve characteristic analysis result to calculate and obtain the coagulation analysis result of the sample to be tested.

[0095] It should be noted that the content of step 504 is the same as Figure 2The contents of step 202 are similar, and are not described here to avoid repetition. Figure 2 The content of step 202 is shown

[0096] Exemplarily, taking the two optical methods of scattering method and transmission method as examples, the first optical response curve can be a scattering response curve or a transmission response curve, and the second optical response curve can be a transmission response curve or a scattering response curve. The first optical response curve can be obtained according to the type of test items, wherein the coagulation reaction data can also include the type of test items, such as if the test items are one or more of TT, PT, APTT and FIB, the first optical response curve is a scattering response curve; if the test items are one or more of DD, FDP, AT3 and INR, the first optical response curve is a transmission response curve.

[0097] The coagulation analysis result can be determined by analyzing the optical reaction curves in sequence to improve the accuracy of the coagulation time. That is, step 504 can include the following steps A01 to A02:

[0098] A01. Performing curve characteristic analysis on the first optical response curve to determine a first curve characteristic;

[0099] First, it is necessary to perform a curve feature analysis on the first optical response curve to determine the first curve feature, where the curve feature is used to reflect the change of the optical response curve during the coagulation reaction of the sample to be tested. Exemplarily, the curve feature of the optical response curve includes at least one of its own curve smoothness feature, its first-order derivative curve feature, and its second-order derivative curve feature.

[0100] The self-curve smoothness feature includes but is not limited to the reaction curve smoothness S; the first-order derivative curve feature includes: at least one of the first number M, the first distance difference |x1-x2|-|x1-x3|, the first ordinate |y1|, and the first abscissa distance |x2-x3|;

[0101] It should be noted that the first number M is used to reflect the number of first curve peaks P(x1, y1) of the first-order derivative of the optical response curve; the first distance difference |x1-x2|-|x1-x3| is used to reflect the distance difference between each first boundary point of the first curve peak P(x1, y1) and the second horizontal coordinate distance of the first curve peak, wherein the first boundary point includes the left peak boundary L(x2, y2) of the first curve peak P and the right peak boundary R(x3, y3) of the first curve peak P, and the second horizontal coordinate distance includes |x1–x2| and |x1-x3|; the first vertical coordinate |y1| is used to reflect the vertical coordinate of the first curve peak P(x1, y1); the first horizontal coordinate distance |x2-x3| is used to reflect the horizontal coordinate distance between each first boundary point.

[0102] The second-order derivative curve features include but are not limited to: at least one of the second number N, the second distance difference |x4-x5|-|x4-x6|, the second ordinate |y4|, and the third abscissa distance |x5-x6|;

[0103] The second number N is used to reflect the total number of second curve peaks Q (x4, y4) and curve valleys of the second-order derivative of the optical response curve; the second distance difference is used to reflect the distance difference between each second boundary point of the second curve peak Q and the fourth horizontal coordinate distance of the second curve peak, the second boundary points include the left peak boundary S (x5, y5) of the second curve peak Q and the right peak boundary T (x6, y6) of the second curve peak Q, the fourth horizontal coordinate distance includes |x4–x5| and |x4–x6|; the second vertical coordinate |y4| is used to reflect the vertical coordinate of the second curve peak Q; the third horizontal coordinate distance |x5-x6| is used to reflect the horizontal coordinate distance between each second boundary point.

[0104] A02. When there is no abnormality in the first curve feature, the coagulation time of the sample to be tested is calculated according to the first optical response curve, and the coagulation analysis result includes the coagulation time;

[0105] A03. When the first curve characteristic is abnormal, the coagulation time of the sample to be tested is calculated according to the second optical response curve.

[0106] Furthermore, it is possible to determine whether the curve has an abnormality by using the curve characteristics to determine which curve to use for subsequent calculations to obtain the coagulation time of the sample to be tested. Among them, the absence of an abnormality in the first curve characteristic means that none of the above first curve characteristics of the first reaction curve has an abnormality, and the presence of an abnormality in any first curve characteristic indicates that the first curve characteristic has an abnormality, that is, the first reaction curve has an abnormality. In this way, when the first curve characteristic has no abnormality, the coagulation time of the sample to be tested is calculated based on the first optical reaction curve, and the coagulation analysis result includes the coagulation time. When the first curve characteristic has an abnormality, the coagulation time of the sample to be tested is calculated based on the second optical reaction curve.

[0107] In a feasible implementation, when the first curve feature is abnormal, when calculating the coagulation time of the sample to be tested according to the second optical response curve, the curve feature of the second optical curve may be judged to be abnormal or not, so as to further improve the accuracy of the coagulation time. Specifically, step A03 may also include steps B01 to B02:

[0108] B01, performing curve characteristic analysis on the second optical response curve to determine a second curve characteristic;

[0109] B02. When there is no abnormality in the second curve characteristics, the coagulation time of the sample to be tested is calculated according to the second optical response curve.

[0110] It should be noted that when there is an abnormality in the first curve characteristic of the first optical response curve, the second optical response curve will be used to calculate the coagulation time. At this time, the curve characteristic analysis of the second optical response curve is performed through step B01 to determine the second curve characteristic, extract and judge whether there is an abnormality in the second curve characteristic. If there is no abnormality in the second curve characteristic, the coagulation time of the sample to be tested is calculated according to the second optical response curve. If there is an abnormality in the second curve characteristic, since both optical response curves are abnormal at this time, an alarm message can be output to indicate that both optical response curves are abnormal.

[0111] In addition, due to the scattering-transmission multiplexing detection channel, in addition to performing curve characteristic analysis sequentially, in order to further improve the speed of issuing results, curve characteristic analysis can also be performed on two optical response curves at the same time, that is, step 504 can include: performing curve characteristic analysis on the first optical response curve and the second optical response curve at the same time, determining the first curve characteristic and the second curve characteristic, and selecting the corresponding optical response curve with no abnormal curve characteristic to calculate and obtain the coagulation time of the sample to be tested.

[0112] Furthermore, if both optical response curves are abnormal, the magnetic bead method can also be used to perform coagulation analysis of the sample to be tested, that is, the above method can also include: when both the first curve characteristic and the second curve characteristic are abnormal, using the magnetic bead method to obtain the analysis result of the coagulation analysis of the re-prepared sample of the sample to be tested.

[0113] It is understandable that no matter whether the first curve feature and / or the second curve feature has an abnormality, an alarm message will be output to remind the operator of the abnormality at this time.

[0114] In a feasible implementation, the judgment of whether the curve feature is abnormal can refer to the steps shown in steps C01 to C03:

[0115] C01, sequentially determining whether the smoothness characteristic of the own curve, the first-order derivative curve characteristic, the second-order derivative curve characteristic and the preset threshold satisfy a preset size relationship;

[0116] C02. If any one of the curve characteristics of the self-curve smoothness characteristic, the first-order derivative curve characteristic, and the second-order derivative curve characteristic satisfies a preset size relationship, it is determined that the curve characteristic of the optical response curve is abnormal;

[0117] C03: If the self-curve smoothness characteristic, the first-order derivative curve characteristic, and the second-order derivative curve characteristic do not satisfy the preset size relationship, it is determined that there is no abnormality in the curve characteristic of the optical response curve.

[0118] It should be noted that the present application sets different preset thresholds for different curve features, thereby improving the accuracy of the judgment result. In addition, it will sequentially judge whether there are abnormalities in the own curve smoothness feature, the first-order derivative curve feature, and the second-order derivative curve feature, further improving the accuracy of the judgment result. Specifically, through step C01, it is sequentially judged whether the preset size relationship between the own curve smoothness feature, the first-order derivative curve feature, and the second-order derivative curve feature and the preset threshold is satisfied. If any of the curve features of the own curve smoothness feature, the first-order derivative curve feature, and the second-order derivative curve feature satisfies the preset size relationship, then step C02 is executed. If the own curve smoothness feature, the first-order derivative curve feature, and the second-order derivative curve feature do not satisfy the preset size relationship, then step C03 is executed.

[0119] For example, taking the first reaction curve as an example, assuming that the first reaction curve is a scattering reaction curve; if the reaction curve smoothness S < threshold value 1, it means that the reaction curve smoothness S of the scattering reaction curve is abnormal, that is, the scattering reaction curve is abnormal, and the transmission method can be switched at this time; on the contrary, if the reaction curve smoothness S ≥ threshold value 1, it means that the reaction curve smoothness S of the scattering reaction curve is not abnormal, and the next curve feature judgment is performed. For example, the abnormal judgment of the first-order derivative curve feature is continued.

[0120] The abnormal judgment of the first-order derivative curve feature includes: first, judging the number of first-order derivative curve peaks M. If M>threshold 2, it means that the number of first-order derivative curve peaks M of the scattering response curve is abnormal, and the scattering response curve may have drops, bulges, etc., and the scattering response curve is abnormal, and the transmission method is switched; otherwise, if M≤threshold 2, it means that the number of first-order derivative curve peaks M of the scattering response curve is not abnormal, and the next curve feature is judged. For example, continue to judge whether the first distance difference |x1–x2|-|x1–x3| in the first-order derivative curve feature is abnormal. If |x1–x2|-|x1–x3|<threshold 3, it means that the scattering response curve has no baseline period or plateau period, and there is an abnormality, then switch to the transmission method. Otherwise, it means that the scattering response curve is not abnormal, and the next curve feature is judged. For example, continue to judge whether the first ordinate |y1| of the curve peak P is abnormal. If |y1|>threshold 4, it means that the scattering reaction curve has abnormalities such as drops and bulges, then switch to the transmission method. Otherwise, it means that the scattering reaction curve does not have abnormalities, and then proceed to judge the next curve feature. For example, continue to judge whether the first horizontal coordinate distance |x2-x3| is abnormal. If |x2-x3|<threshold 5, it means that the scattering reaction curve has abnormalities such as spurs, then switch to the transmission method. Otherwise, it means that the scattering reaction curve does not have abnormalities, and then proceed to judge the next curve feature, such as starting to judge whether the second-order derivative curve feature has abnormalities.

[0121] Judging whether the second-order derivative curve features are abnormal includes: first, judging the number of peaks and valleys N of the second-order derivative curve. If N>threshold 6, switching to the transmission method; otherwise, it means that there is no abnormality in the scattering response curve, and then judging the next curve feature, such as judging whether the second distance difference |x4-x5|-|x4-x6| is abnormal.

[0122] If |x4–x5|-|x4–x6|<threshold value 3, it means that the scattering reaction curve has abnormalities such as no baseline period or plateau period, and the transmission method is switched. Otherwise, it means that the scattering reaction curve has no abnormality, and the next curve feature is judged, such as judging whether the second ordinate |y4| has abnormalities. If |y4|>threshold value 4, it means that the scattering reaction curve has abnormalities such as drops and bulges, and the transmission method is switched. Otherwise, it means that the scattering reaction curve has no abnormality, and the next curve feature is judged, such as judging whether the third abscissa distance |x5-x6| has abnormalities. If |x5–x6|<threshold value 5, it means that the scattering reaction curve has abnormalities such as spurs, and the transmission method is switched. Finally, it is determined that the transmission reaction curve is used to calculate the coagulation time. Otherwise, it means that the scattering reaction curve has no abnormality, and the transmission method does not need to be switched at this time, that is, it is finally determined that the scattering reaction curve is used to calculate the coagulation time. In this way, the accuracy of the judgment result that the curve is not abnormal can be further improved, making the coagulation time more reliable.

[0123] In a feasible implementation, if there is no abnormality in the curve characteristics of the scattering reaction curve, but there is an abnormality in the first coagulation time obtained by the scattering reaction curve, for example, the PT reference range is 11-14 seconds, and the first coagulation time is not within the reference range, then it is possible to switch to the transmission method. When there is no abnormality in the curve characteristics of the transmission reaction curve, the second coagulation time is calculated again. If there is still an abnormality in the second coagulation time, the first coagulation time will be output. If there is no abnormality in the second coagulation time, the second coagulation time will be output, and it will be prompted that the coagulation time of the scattering method is abnormal.

[0124] The present invention provides a control method for sample analysis, the method comprising: receiving a photoelectric signal uploaded from a data acquisition channel shared by scattering and transmission during the coagulation reaction process of a sample to be tested; determining the data type of the photoelectric signal according to a preset working sequence, the data type including scattering reaction data or transmission reaction data, the working sequence being used to reflect the working time of the scattering unit and the transmission unit; generating a first optical reaction curve and a second optical reaction curve according to the photoelectric signal and the data type of the photoelectric signal; performing curve feature analysis on the optical reaction curve, and selecting an optical reaction curve according to the curve feature analysis result to calculate the coagulation analysis result of the sample to be tested. Through the above-mentioned method, the curve feature analysis can be performed through a plurality of optical reaction curves obtained by coagulation analysis of the sample to be tested under different optical methods, and the analysis result of the coagulation analysis of the sample to be tested can be obtained, thereby expanding the detection range of the optical method, improving the detection speed and efficiency, and reducing the reagent cost caused by sample retesting. And through careful abnormal judgment conditions, a non-abnormal optical reaction curve is selected to improve the credibility and accuracy of the coagulation time.

[0125] See also Figure 6 , Figure 6 FIG. 1 is a structural block diagram of a control device for sample analysis in an embodiment of the present invention. Figure 6 The device shown comprises:

[0126] Data acquisition module 601: used to acquire coagulation reaction data of the sample to be tested, wherein the coagulation reaction data at least includes optical reaction curves corresponding to different optical methods of the sample to be tested;

[0127] The coagulation analysis module 602 is used to perform curve characteristic analysis on the optical response curve, and select an optical response curve according to the curve characteristic analysis result to calculate and obtain the coagulation analysis result of the sample to be tested.

[0128] It should be noted that Figure 6 The functions of each module in the device shown are Figure 2 The contents of each step in the method shown are similar, and to avoid repetition, they are not described here. For details, please refer to the aforementioned Figure 2 The content of each step in the method shown.

[0129] The present invention provides a control device for sample analysis, the device comprising: a data acquisition module: used to acquire the coagulation reaction data of the sample to be tested, the coagulation reaction data at least including the optical reaction curves corresponding to different optical methods of the sample to be tested; a coagulation analysis module: used to perform curve feature analysis on the optical reaction curve, and select an optical reaction curve according to the curve feature analysis result to calculate the coagulation analysis result of the sample to be tested. Through the above method, the curve feature analysis can be performed through a plurality of optical reaction curves obtained by coagulation analysis of the sample to be tested under different optical methods, and the analysis result of the coagulation analysis of the sample to be tested can be obtained, which expands the detection range of the optical method, improves the detection speed and efficiency, and reduces the reagent cost caused by sample retesting.

[0130] Figure 7 FIG. 1 shows an internal structure diagram of a computer device in an embodiment. The computer device may be a terminal or a server. Figure 7 As shown, the computer device includes a processor, a memory and a network interface connected via a system bus. The memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program. When the computer program is executed by the processor, the processor can implement the above method. The internal memory may also store a computer program. When the computer program is executed by the processor, the processor can implement the above method. Those skilled in the art can understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0131] In one embodiment, a computer device is provided, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the following steps: Figure 2 or Figure 5 The steps of the method shown.

[0132] In one embodiment, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a processor, the processor performs the following steps: Figure 2 or Figure 5 The steps of the method shown.

[0133] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0134] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0135] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A control method for sample analysis, characterized in that: The method comprises: Acquiring coagulation reaction data of the sample to be tested, wherein the coagulation reaction data at least includes optical reaction curves corresponding to different optical methods of the sample to be tested; The optical response curve is subjected to a curve characteristic analysis, and an optical response curve is selected according to the curve characteristic analysis result to calculate and obtain the coagulation analysis result of the sample to be tested.

2. The method according to claim 1, characterized in that: The optical response curves at least include a first optical response curve and a second optical response curve. The optical response curves are subjected to curve characteristic analysis, and an optical response curve is selected according to the curve characteristic analysis results to calculate and obtain the coagulation analysis result of the sample to be tested, including: Performing curve characteristic analysis on the first optical response curve to determine a first curve characteristic; When there is no abnormality in the first curve feature, the coagulation time of the sample to be tested is calculated according to the first optical response curve, and the coagulation analysis result includes the coagulation time; When the first curve characteristic is abnormal, the coagulation time of the sample to be tested is calculated according to the second optical response curve.

3. The method according to claim 2, characterized in that: When the first curve characteristic is abnormal, the coagulation time of the sample to be tested is calculated according to the second optical response curve, including Performing curve characteristic analysis on the second optical response curve to determine a second curve characteristic; When there is no abnormality in the second curve feature, the coagulation time of the sample to be tested is calculated according to the second optical response curve.

4. The method according to claim 1, characterized in that: The optical response curves at least include a first optical response curve and a second optical response curve. The optical response curves are subjected to curve characteristic analysis, and an optical response curve is selected according to the curve characteristic analysis results to calculate and obtain the coagulation analysis result of the sample to be tested, including: At the same time, the first optical response curve and the second optical response curve are analyzed to determine the first curve characteristic and the second curve characteristic, and the corresponding optical response curve with no abnormal curve characteristic is selected to calculate and obtain the coagulation time of the sample to be tested.

5. The method according to claim 3, characterized in that: The method further comprises: When both the first curve characteristic and the second curve characteristic are abnormal, the analysis result of the coagulation analysis of the re-prepared sample of the sample to be tested is obtained by using a magnetic bead method.

6. The method according to any one of claims 2 to 5, characterized in that: The method further comprises: When there is an abnormality in the first curve feature and / or the second curve feature, an alarm message is output.

7. The method according to claim 6, characterized in that: The method further comprises: If the test item is one or more of TT, PT, APTT and FIB, the first optical response curve is a scattering response curve; If the test item is one or more of DD, FDP, AT3 and INR, the first optical response curve is a transmission response curve.

8. The method according to claim 1, characterized in that: The method further comprises: The different optical reaction curves are obtained by time-sharing detection during the coagulation reaction of the same sample to be tested.

9. The method according to claim 8, characterized in that: The step of obtaining the coagulation reaction data of the sample to be tested includes: During the coagulation reaction of the sample to be tested, receiving the photoelectric signal uploaded by the data acquisition channel shared by scattering and transmission; Determine the data type of the photoelectric signal according to a preset working sequence, the data type includes scattering reaction data or transmission reaction data, and the working sequence is used to reflect the working time of the scattering unit and the transmission unit; The first optical response curve and the second optical response curve are generated according to the photoelectric signal and the data type of the photoelectric signal.

10. The method according to any one of claims 1 to 5, characterized in that: The method further comprises: The curve characteristics of the optical response curve include at least one of its own curve smoothness characteristics, its first-order derivative curve characteristics, and its second-order derivative curve characteristics.

11. The method according to claim 10, characterized in that: The method further comprises: It is determined in sequence whether the smoothness characteristic of the own curve, the first-order derivative curve characteristic, the second-order derivative curve characteristic and the preset threshold value satisfy a preset size relationship; If any one of the curve characteristics of the self-curve smoothness characteristic, the first-order derivative curve characteristic, and the second-order derivative curve characteristic satisfies a preset size relationship, it is determined that the curve characteristic of the optical response curve is abnormal; If the self-curve smoothness characteristic, the first-order derivative curve characteristic, and the second-order derivative curve characteristic do not satisfy the preset size relationship, it is determined that there is no abnormality in the curve characteristic of the optical response curve.

12. The method according to claim 11, characterized in that: The method further comprises: The first-order derivative curve feature includes: at least one of a first number, a first distance difference, a first ordinate, and a first abscissa distance; Wherein, the first number is used to reflect the number of first curve peaks of the first derivative of the optical response curve; the first distance difference is used to reflect the distance difference between each first boundary point of the first curve peak and the second horizontal coordinate distance of the first curve peak; the first vertical coordinate is used to reflect the vertical coordinate of the first curve peak; the first horizontal coordinate distance is used to reflect the horizontal coordinate distance between each first boundary point; The second-order derivative curve characteristics include: at least one of a second number, a second distance difference, a second ordinate, and a third abscissa distance; Among them, the second number is used to reflect the total number of second curve peaks and curve valleys of the second-order derivative of the optical response curve; the second distance difference is used to reflect the distance difference between each second boundary point of the second curve peak and the fourth horizontal coordinate distance of the second curve peak; the second vertical coordinate is used to reflect the vertical coordinate of the second curve peak; the third horizontal coordinate distance is used to reflect the horizontal coordinate distance between each second boundary point.

13. A sample analyzer, comprising at least a controller, wherein the controller is configured to execute the control method according to any one of claims 1 to 12.

14. The sample analyzer according to claim 13, characterized in that: The sample analyzer also includes: The scattering unit, the transmission unit, the sample pool and the data acquisition channel shared by the scattering and transmission, the controller is respectively connected to the scattering unit, the transmission unit and the data acquisition channel, and the controller is also used to issue a first control instruction to the scattering unit and a second control instruction to the transmission unit; The sample pool is used to hold the sample to be tested; The scattering unit is used to emit scattered light to the sample to be tested when receiving a first control instruction; The transmission unit is used to emit transmission light to the sample to be tested when receiving a second control instruction; The data acquisition channel is used to collect scattered light and transmitted light passing through the sample to be tested to obtain scattering reaction data and transmission reaction data. The scattering reaction data is used to generate a scattering reaction curve, and the transmission reaction data is used to generate a transmission reaction curve.

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