Calibration correction method for a sample analyzer and sample analyzer

Abstract

This invention relates to a calibration correction method for a sample analyzer and the sample analyzer itself, comprising: detecting multiple calibrators with different concentrations and obtaining calibration points corresponding to the calibrators; determining the number of problematic calibration points; if the number of problematic calibration points is less than or equal to half the number of calibration points, selecting a reference calibration point from the historical calibration curve, and using the signal value of the reference calibration point to adjust the signal value of the problematic calibration point as the current calibration signal; and fitting and generating a calibration curve based on the current calibration signal and the detection signals of the normal calibration points among the calibration points. The solution provided by this invention, by determining the number of problematic calibration points, identifying if it is less than or equal to half the number of calibration points, determining the signal value of the problematic calibration point based on the reference calibration point and the historical calibration curve, generating the current calibration signal, and generating a calibration curve together with the original normal calibration points, simplifies the recalibration process and ensures the efficiency of the sample analyzer.

Description

Technical Field

[0001] This invention relates to the field of medical device calibration technology, and in particular to a calibration and correction method for a sample analyzer and the sample analyzer itself. Background Technology

[0002] An in vitro diagnostic analyzer (sample analyzer) is an instrument used to analyze specific types of samples and detect specific types of analytes. Typically, this instrument needs to be calibrated using calibrators before being put into use to ensure the accuracy of measurements on patient samples.

[0003] During calibration, multiple calibrators with different concentrations are typically used, allowing the instrument to obtain accurate readings for various concentration distributions. The instrument's detection results for the calibrators are fitted to a calibration curve. When testing patient samples, the instrument uses the calibration curve to calculate the concentration of the analyte in the sample. Therefore, the calibration curve determines the detection accuracy of the sample analyzer.

[0004] Currently, in order to ensure the accuracy of the test, when there are problems with the calibration curve, all multiple calibrators are usually used to recalibrate and test to obtain a new calibration curve.

[0005] To conserve calibrators during recalibration, patent CN 109557292 A provides a solution. In the event of a multi-point calibration procedure failure, the method includes determining whether the failure is related to one or more individual faulty calibration points, and if so, triggering a repeat measurement of the calibrator level only with respect to that faulty calibration point, and recalculating the results of the multi-point calibration procedure after replacing only the faulty calibration point with the newly obtained calibration point.

[0006] However, even though new calibration points were used and problematic original calibration points were discarded during the aforementioned calibration process, the in vitro diagnostic analyzer still needed to be recalibrated. Therefore, for the client terminals corresponding to the instrument, the operational procedures were not simplified, and subsequent samples could not be obtained in a timely manner, thus affecting the efficiency of instrument use. Summary of the Invention

[0007] This invention provides a calibration and correction method for a sample analyzer and a sample analyzer in order to reduce the recalibration steps (i.e., recalibration steps) for problematic calibration points and improve the efficiency of the sample analyzer.

[0008] In a first aspect, embodiments of the present invention provide a calibration and correction method for a sample analyzer, comprising:

[0009] Detect multiple calibrators with different concentrations and obtain the calibration points corresponding to the calibrators;

[0010] Determine the number of problematic calibration points;

[0011] If the number of problematic calibration points is less than or equal to half the number of calibration points, select a reference calibration point from the historical calibration curve, and use the signal value of the reference calibration point to adjust the signal value of the problematic calibration point as the calibration signal for this time.

[0012] A calibration curve is generated by fitting the current calibration signal and the detection signals of normal calibration points in the calibration points.

[0013] Optionally, each of the multiple calibrators is calibrated at least twice, and the first signal difference between the two detections at the corresponding calibration point is calculated.

[0014] If the difference in the first signal is greater than the first difference threshold, the calibration point is determined to be a problematic calibration point.

[0015] The number of calibration points for statistical problems.

[0016] Optionally, the number of problematic calibration points is determined, specifically including:

[0017] Select any calibration point and generate the fitting curves for the remaining calibration points.

[0018] If the deviation between any calibration point and the fitted curve is greater than the second deviation threshold, then any calibration point is determined to be a problematic calibration point.

[0019] The number of calibration points for statistical problems.

[0020] Optionally, the number of problematic calibration points is determined, specifically including:

[0021] Calculate the second signal difference between any calibration point and its adjacent calibration points;

[0022] If the difference in the second signal is greater than the third deviation threshold, the calibration point and its adjacent calibration points are determined to be problematic calibration points.

[0023] Optionally, a reference calibration point can be selected from the historical calibration curve, and the signal value of the problematic calibration point can be adjusted using the signal value of the reference calibration point as the calibration signal for the current calibration. Specifically, this includes:

[0024] Obtain historical calibration curves;

[0025] Select a reference calibration point with the predetermined parameters of interest from the historical calibration curve;

[0026] Using the signal value of the reference calibration point, adjust the detection signal of the problematic calibration point to generate the current calibration signal.

[0027] Optionally, the detection signal of the problematic calibration point is adjusted using the signal value of the reference calibration point to generate the current calibration signal, specifically including:

[0028] Using the signal values ​​of the reference calibration point and the signal values ​​of the calibration points adjacent to the problematic calibration point, the detection signal of the problematic calibration point is simulated to generate the current calibration signal.

[0029] Optionally, the parameters of interest may include concentration and / or calibration curve profile similar to the fitted curve of a non-problem calibration point.

[0030] Optionally, a reference calibration point can be selected from the historical calibration curve, and the signal value of the problematic calibration point can be adjusted using the signal value of the reference calibration point as the calibration signal for the current calibration. Specifically, this includes:

[0031] Select a reference calibration point with the predetermined parameters of interest from the locally stored historical calibration curves;

[0032] Based on the parameters of interest at the problematic calibration point, the parameters of interest at the reference calibration point, and the signal value of the reference calibration point, the signal value of the problematic calibration point is calculated proportionally and used as the calibration signal for this calibration.

[0033] Optionally, a reference calibration point can be selected from the historical calibration curve, and the signal value of the problematic calibration point can be adjusted using the signal value of the reference calibration point as the calibration signal for the current calibration. Specifically, this includes:

[0034] Establish a data link with the cloud database;

[0035] Select a reference calibration point with the predetermined parameters of interest from the historical calibration curve;

[0036] Based on the parameters of interest at the problematic calibration point, the parameters of interest at the reference calibration point, and the signal value of the reference calibration point, the signal value of the problematic calibration point is calculated proportionally and used as the calibration signal for this calibration.

[0037] Secondly, embodiments of the present invention provide a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform a calibration correction method for a sample analyzer as provided in any embodiment of the present invention.

[0038] Thirdly, embodiments of the present invention provide a sample analyzer having the storage medium provided in the second aspect.

[0039] This invention provides a calibration correction method and sample analyzer for a sample analyzer. The method detects multiple calibrators with different concentrations and obtains calibration points corresponding to the calibrators, thereby determining the number of problematic calibration points. If the number of problematic calibration points is less than or equal to half the number of calibration points, the method determines the signal value of the problematic calibration point based on the reference calibration points corresponding to the problematic calibration points and historical calibration curves stored in local and / or cloud databases. The method generates the current calibration signal and generates a calibration curve together with the original normal calibration points, thereby simplifying the recalibration process for problematic calibration points and ensuring the efficiency of the sample analyzer. Attached Figure Description

[0040] Figure 1 A flowchart illustrating a calibration and correction method for a sample analyzer, provided as an embodiment of the present invention;

[0041] Figure 2 A first flowchart illustrating the number of statistical standard points in a calibration correction method for a sample analyzer provided in an embodiment of the present invention;

[0042] Figure 3 This is a second flowchart illustrating the number of statistical standard points in a calibration and correction method for a sample analyzer provided in an embodiment of the present invention.

[0043] Figure 4 This is a third flowchart illustrating the number of statistical standard points in a calibration and correction method for a sample analyzer provided in an embodiment of the present invention.

[0044] Figure 5 This is a first flowchart of a calibration correction method for a sample analyzer provided in an embodiment of the present invention, which generates the calibration signal for the current calibration.

[0045] Figure 6 This is a second flowchart of a calibration correction method for a sample analyzer provided in an embodiment of the present invention, which generates the current calibration signal.

[0046] Figure 7 This is a third flowchart of a calibration correction method for a sample analyzer provided in an embodiment of the present invention, which generates the current calibration signal.

[0047] Figure 8 This is a schematic diagram of a calibration and correction device for a sample analyzer provided in an embodiment of the present invention. Detailed Implementation

[0048] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present invention, and not all of the structures.

[0049] In vitro diagnostic analyzers need to be calibrated before use. At present, the main problem in the calibration process is to re-determine the calibration points of the sample analyzer. The re-determination process will increase the calibration time and reduce the efficiency of the in vitro analyzer.

[0050] Example 1

[0051] To address the above shortcomings, this invention proposes a calibration and correction method for sample analyzers, such as... Figure 1 As shown, it includes:

[0052] S10: Detect multiple calibrators with different concentrations and obtain the calibration points corresponding to the calibrators;

[0053] The calibration process involves using a pre-programmed program on the calibrator to detect multiple calibrators at different concentrations to obtain calibration points. Typically, three or more calibrators are used to determine whether each calibration point is in a normal or problematic state. The calibration process involves the sample analyzer testing the calibrators, obtaining detection signals for each calibrator (discrete point). Each discrete point can be considered a calibration point. Since the concentration of the calibrator corresponding to a calibration point is known, the sample analyzer can then obtain the correspondence between the known concentration of the analyte in the calibrator and the detection signal. A calibration curve is then fitted to the detection signal values ​​of each discrete calibration point. When analyzing patient samples, the sample analyzer can use the calibration curve to convert the detection signal into a concentration, thereby determining the concentration of the analyte in the patient sample. The detection signals of the above system include both analog and digital signals.

[0054] S20: Determine the number of problematic calibration points; these calibration points typically fall into three categories: all normal, one problematic calibration point, and multiple problematic calibration points. For cases where the number of problematic calibration points is less than or equal to half the total number of calibration points, the calibration signal generation method provided in this embodiment can be used.

[0055] S30: If the number of problematic calibration points is less than or equal to half the number of calibration points, select a reference calibration point from the historical calibration curves, and use the signal value of the reference calibration point to adjust the signal value of the problematic calibration point as the calibration signal for this time; historical calibration curves can be stored in local and / or cloud databases.

[0056] The signal values ​​of the detection signals at the aforementioned calibration points (including problematic calibration points) are stored in the sample analyzer and output externally as analog and / or digital signals. Therefore, when it is necessary to adjust the detection signal of a problematic calibration point, a reference calibration point with the same or similar predetermined parameters of interest can be found by searching the stored historical data.

[0057] like Figure 5 As shown, it specifically includes:

[0058] S31: Obtain historical calibration curves;

[0059] S32: Select a reference calibration point with the predetermined parameters of interest from the historical calibration curve;

[0060] S33: Use the signal value of the reference calibration point to adjust the detection signal of the problematic calibration point and generate the current calibration signal.

[0061] It should be added here that the parameters of interest include concentration and / or calibration curve profile similar to the fitted curve of the non-problematic calibration point. The reference calibration point can be from the same batch as the problematic calibration point, or it can be historical data from a different batch.

[0062] Specifically, when the predetermined parameter of interest is concentration, a reference calibration point with the same concentration as the problematic calibration point can be selected from the historical calibration curve. The signal value of the problematic calibration point can be adjusted using the signal value of the reference calibration point as the calibration signal for the current calibration.

[0063] In a variant scheme, if the calibration point Cn is the problematic calibration point and the concentration of Cn is a, then the signal y corresponding to concentration a in the calibration curve of historical data can be directly set as the analog signal of Cn as y.

[0064] The predetermined parameters of interest may include the calibration curve profile similar to the fitted curve of the non-problem calibration point. Here, the curve characteristics (e.g., slope, curvature, etc.) between discrete points (concentrations) of the fitted curve for the non-problem calibration point are first obtained. The curve characteristics between discrete points are calculated from the stored historical calibration curves. When one of the stored historical calibration curves has curve characteristics similar to the current fitted curve, the similar segment from that historical calibration curve is selected. Then, the signal value of the problem calibration point is adjusted according to the ratio of the concentration of each calibration point on the historical calibration curve to the concentration of each calibration point on the current fitted curve.

[0065] Historical calibration curves are typically stored in the sample analyzer's local database.

[0066] In a preferred embodiment, the calibrator establishes a data link with the client's database (cloud database), and multiple historical calibration curves and multiple calibration points are stored in the cloud database. When adjusting the signal value of a problematic calibration point, the average value of each calibration point from the stored multiple historical calibration curves can be used as the standard historical calibration curve. Alternatively, as described above, a historical calibration curve with similar curve characteristics can be selected.

[0067] By retrieving historical calibration curves from the database, a reference calibration point is selected from the historical calibration curves. The detection signal of the problematic calibration point is then adjusted using the detection signal of the reference calibration point as the calibration signal for the current calibration. The adjustment methods include, but are not limited to, proportional adjustment.

[0068] It should be added that, for generating the current calibration signal, the following method can also be used: use the signal value of the reference calibration point and the signal value of the calibration point adjacent to the problem calibration point to simulate the detection signal of the problem calibration point and generate the current calibration signal.

[0069] The implementation method is as follows:

[0070] If calibration point Cn is the problematic calibration point, and Cm is another calibration point with similar concentrations to Cn, the analog signal of Cn is adjusted using the analog signal of Cm through proportional calculation. Assuming the concentration of Cn is a, the concentration of Cm is b, and the signal is x, and the historical calibration curve contains the signal y corresponding to concentration a and the signal z corresponding to concentration b, then the analog signal of Cn = xy / z.

[0071] S40: Based on the current calibration signal and the analog signals of the remaining calibration points, a calibration curve is generated by fitting. The fitting process can be considered as connecting the current calibration signal and the analog signals of the remaining calibration points to generate the calibration curve. In an optional implementation, the analog signals and calibration curve are displayed in graphical form.

[0072] This invention provides a calibration correction method for a sample analyzer. By detecting multiple calibrators with different concentrations and obtaining calibration points corresponding to the calibrators, the number of problematic calibration points is determined. If the number of problematic calibration points is less than or equal to half the total number of calibration points, the signal value of the problematic calibration point is determined based on the reference calibration points corresponding to the problematic calibration points and historical calibration curves stored in the local and / or cloud databases. The current calibration signal is then generated and a calibration curve is generated together with the original normal calibration points. This simplifies the recalibration process for problematic calibration points and ensures the efficiency of the sample analyzer.

[0073] Example 2

[0074] Based on Embodiment 1, this invention further proposes a process for determining the number of problematic calibration points, such as... Figure 2 As shown, it specifically includes:

[0075] S21: Perform at least two calibrations on each of the multiple calibrators, and calculate the first signal difference between the two detected signals at the corresponding calibration points. Since interference is possible during calibration, such as environmental and signal factors, performing at least two calibrations reduces the possibility of misjudgment caused by a single calibration. Furthermore, considering the ease of calibration and cost factors, performing two or more calibrations is preferred.

[0076] S22: If the first signal difference is greater than the first difference threshold, the calibration point is determined to be a problematic calibration point; in addition, the signal values ​​of the detection signals generated by the above two calibration processes also need to be judged by other criteria; if one of the signal values ​​obtained by the two calibration processes meets other judgment conditions, it is determined to be normal; if the signal values ​​of the two calibration processes are both normal or both are abnormal, they are both determined to be problematic calibration points.

[0077] S23: Number of calibration points for statistical problems.

[0078] In addition, the following methods can also be used to determine problematic calibration points, such as... Figure 3 As shown:

[0079] S21': Select any calibration point and generate fitting curves for the remaining calibration points. For example, if there are 5 calibration points in the calibration process, select standard points numbered 1-5 as any standard point in sequence, generate corresponding fitting curves for the remaining standard points, and then compare them.

[0080] S22': If the deviation between any calibration point and the fitted curve is greater than the second deviation threshold, then any calibration point is determined to be a problematic calibration point.

[0081] S23': Number of calibration points for statistical problems.

[0082] Another way to determine a problematic calibration point is to check if the signal value of the calibration point is less than the minimum value of the analog signal. If it is less, then it is determined to be a problematic calibration point.

[0083] In another possible implementation, the problematic standard point can also be determined by judging the signal values ​​of the detection signals of adjacent calibration points, specifically as follows: Figure 4 As shown:

[0084] S21”: Calculate the second signal difference between any calibration point and its adjacent calibration points;

[0085] S22”: If the difference in the second signal is greater than the third deviation threshold, the calibration point and its adjacent calibration points are determined to be problematic calibration points. In addition, whether the concentration between adjacent calibration points and / or the shape of the calibration curve that is similar to the fitted curve of a non-problematic calibration point meet the preset threshold conditions can also be used to determine whether adjacent calibration points are multiple problematic calibration points.

[0086] It should be noted that the first deviation threshold, the second deviation threshold, and the third deviation threshold mentioned above are related to the factory settings of the calibrator, and will not be elaborated here.

[0087] Furthermore, if the number of calibration points with the aforementioned problems is determined to be multiple (greater than the average number of calibration points), then step S50 needs to be executed: stop the calibration and notify the user that there is a problem with the calibration process. This is because multiple calibration problems may be due to unstable instrument or reagent conditions, or other reasons.

[0088] Example 3

[0089] In this embodiment of the invention, the historical calibration curves involved in the generation process of the current calibration signal are stored locally and in a database (cloud database).

[0090] Specifically, based on locally stored historical calibration curves, a reference calibration point is selected from the historical calibration curves. The signal value of the problematic calibration point is then adjusted using the signal value of the reference calibration point as the calibration signal for the current calibration. Figure 6 As shown, it specifically includes:

[0091] S31': Select a reference calibration point with a predetermined parameter of interest from the locally stored historical calibration curves; the predetermined parameter of interest includes, but is not limited to, concentration. Preferably, the reference calibration point is a calibration point calibrated in the same batch as the problematic calibration point.

[0092] S32': Based on the parameters of interest at the problematic calibration point, the parameters of interest at the reference calibration point, and the signal value of the reference calibration point, the signal value of the problematic calibration point is calculated proportionally and used as the calibration signal for this calibration. The aforementioned historical calibration curves can be considered as a set including several reference calibration points (belonging to multiple historical calibration curves). The generation of the reference calibration point signal value involves selecting the concentration of the calibration point in this detection that is close to the concentration of the problematic signal, and generating the signal value based on the signal values ​​of calibration points with the same concentration as the problematic point in the historical calibration curves, calculated proportionally. The specific generation process has been described in Example 1 and will not be repeated here.

[0093] In addition, based on the historical calibration curves stored in the cloud database, a reference calibration point is selected from the historical calibration curves. The signal value of the problematic calibration point is then adjusted using the signal value of the reference calibration point as the calibration signal for the current calibration. Figure 7 As shown, it specifically includes:

[0094] S31”: Establish a data link with the cloud database; the methods for establishing the link include, but are not limited to, data communication, wireless, Bluetooth and other communication methods.

[0095] S32”: Select a reference calibration point with a predetermined parameter of interest from the historical calibration curve; the reference calibration point and the problem calibration point have predetermined parameters of interest; in a preferred embodiment, when there are enough calibration point samples stored in the database, the historical calibration curve formed by the average value of the historical data can be used as a reference, and other calibration points in the same batch with a concentration close to the problem calibration point are selected as reference calibration points.

[0096] S33”: Based on the parameters of interest of the problem calibration point, the parameters of interest of the reference calibration point, and the signal value of the reference calibration point, the signal value of the problem calibration point is calculated proportionally and used as the calibration signal for this time.

[0097] Example 4

[0098] The present invention also proposes a calibration and correction device for a sample analyzer, applying the method of the foregoing embodiments, such as... Figure 8 As shown, it includes:

[0099] The calibration point acquisition module 01 is used to detect multiple calibrators with different concentrations and obtain the calibration points corresponding to the calibrators.

[0100] Quantity determination module 02 is used to determine the number of problematic calibration points; wherein, quantity determination module 02 is configured to perform the following operations:

[0101] Perform at least two calibrations on each of the multiple calibrators and calculate the first signal difference between the two detections at the corresponding calibration points.

[0102] If the difference in the first signal is greater than the first difference threshold, the calibration point is determined to be a problematic calibration point.

[0103] The number of calibration points for statistical problems.

[0104] In addition, the quantity determination module 02 is also configured to perform the following operations:

[0105] Select any calibration point and generate the fitting curves for the remaining calibration points.

[0106] If the deviation between any calibration point and the fitted curve is greater than the second deviation threshold, then any calibration point is determined to be a problematic calibration point.

[0107] The number of calibration points for statistical problems.

[0108] In addition, the quantity determination module 02 can also be used to determine whether there are multiple problematic calibration points, specifically including:

[0109] Calculate the second signal difference between any calibration point and its adjacent calibration points;

[0110] If the difference in the second signal is greater than the third deviation threshold, the calibration point and its adjacent calibration points are determined to be problematic calibration points.

[0111] The calibration signal generation module 03 is used to select a reference calibration point from the historical calibration curve if the number of problematic calibration points is less than or equal to half the number of calibration points, and use the signal value of the reference calibration point to adjust the signal value of the problematic calibration point as the current calibration signal.

[0112] When a local historical calibration curve is selected, the calibration signal generation module 03 is configured to perform the following operations:

[0113] Select a reference calibration point with the predetermined parameters of interest from the locally stored historical calibration curves;

[0114] Based on the parameters of interest at the problematic calibration point, the parameters of interest at the reference calibration point, and the signal value of the reference calibration point, the signal value of the problematic calibration point is calculated proportionally and used as the calibration signal for this calibration.

[0115] When a historical calibration curve for a cloud database is selected, the calibration signal generation module 03 is configured to perform the following operations:

[0116] Establish a data link with the cloud database;

[0117] Select a reference calibration point with the predetermined parameters of interest from the historical calibration curve;

[0118] Based on the parameters of interest at the problematic calibration point, the parameters of interest at the reference calibration point, and the signal value of the reference calibration point, the signal value of the problematic calibration point is calculated proportionally and used as the calibration signal for this calibration.

[0119] The calibration curve generation module 04 is used to fit and generate a calibration curve based on the current calibration signal and the system detection signal of the normal calibration point in the calibration point.

[0120] The calibration and correction device for a sample analyzer provided in this embodiment of the invention employs the same technical means as the calibration and correction method for a sample analyzer, and achieves the same technical effect, which will not be described in detail here.

[0121] Example 5

[0122] This invention also provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, constitute a calibration correction method for a sample analyzer, including:

[0123] Detect multiple calibrators with different concentrations and obtain the calibration points corresponding to the calibrators;

[0124] Determine the number of problematic calibration points;

[0125] If the number of problematic calibration points is less than or equal to half the number of calibration points, select a reference calibration point from the historical calibration curve, and use the signal value of the reference calibration point to adjust the signal value of the problematic calibration point as the calibration signal for this time.

[0126] A calibration curve is generated by fitting the current calibration signal and the detection signals of normal calibration points in the calibration points.

[0127] Of course, the computer-executable instructions provided in the embodiments of the present invention are not limited to the above-described method operations, but can also perform related operations in the calibration and correction method for a sample analyzer provided in any embodiment of the present invention.

[0128] Example 6

[0129] This invention also provides a sample analyzer having the storage medium provided in the foregoing embodiments, and having the same technical features as the calibration and correction method for the sample analyzer, achieving the same technical effect, which will not be repeated here.

[0130] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0131] It is worth noting that the various units and modules included in the above embodiments are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the scope of protection of the present invention.

[0132] Although the present invention has been described in detail above with general descriptions, specific embodiments, and experiments, modifications or improvements can be made to it, which will be obvious to those skilled in the art. Therefore, all such modifications or improvements made without departing from the spirit of the present invention fall within the scope of protection claimed by the present invention.

Claims

1. A calibration and correction method for a sample analyzer, characterized in that, include: Detect multiple calibrators with different concentrations and obtain the calibration points corresponding to the calibrators; Determine the number of problematic calibration points; If the number of problematic calibration points is less than or equal to half the number of calibration points, select a reference calibration point from the historical calibration curve, and use the signal value of the reference calibration point to adjust the signal value of the problematic calibration point as the calibration signal for this time. It includes: acquiring historical calibration curves; selecting reference calibration points with predetermined parameters of interest from the historical calibration curves; using the signal values ​​of the reference calibration points and the signal values ​​of calibration points adjacent to the problematic calibration point to simulate the detection signal of the problematic calibration point and generate the current calibration signal; and fitting and generating a calibration curve based on the current calibration signal and the detection signals of normal calibration points among the calibration points.

2. The calibration and correction method for a sample analyzer according to claim 1, characterized in that, The determination of the number of problematic calibration points specifically includes: Each of the plurality of calibrators is calibrated at least twice, and the first signal difference between the two detected signals at the corresponding calibration point is calculated. If the first signal difference is greater than the first difference threshold, then the calibration point is determined to be the problematic calibration point; Count the number of calibration points for the aforementioned problem.

3. The calibration and correction method for a sample analyzer according to claim 1, characterized in that, The determination of the number of problematic calibration points specifically includes: Select any one of the calibration points and generate the fitting curves for the remaining calibration points among the calibration points; If the deviation between any of the calibration points and the fitted curve is greater than the second deviation threshold, then any of the calibration points is determined to be the problematic calibration point. Count the number of calibration points for the aforementioned problem.

4. The calibration and correction method for a sample analyzer according to claim 1, characterized in that, The determination of the number of problematic calibration points specifically includes: Calculate the second signal difference between any of the calibration points and adjacent calibration points; If the difference in the second signal is greater than the third deviation threshold, the calibration point and its adjacent calibration points are determined to be problematic calibration points.

5. The calibration and correction method for a sample analyzer according to claim 1, characterized in that, The predetermined parameters of interest include concentration and / or calibration curve profiles similar to those fitted to non-problem calibration points.

6. The calibration and correction method for a sample analyzer according to claim 1, characterized in that, The step of selecting a reference calibration point from the historical calibration curve and using the signal value of the reference calibration point to adjust the signal value of the problematic calibration point as the calibration signal for the current calibration specifically includes: Select the reference calibration point with the predetermined parameter of interest from the locally stored historical calibration curves; Based on the parameters of interest at the problematic calibration point, the parameters of interest at the reference calibration point, and the signal value of the reference calibration point, the signal value of the problematic calibration point is calculated proportionally and used as the calibration signal for this calibration.

7. The calibration and correction method for a sample analyzer according to claim 1, characterized in that, The step of selecting a reference calibration point from the historical calibration curve and using the signal value of the reference calibration point to adjust the signal value of the problematic calibration point as the calibration signal for the current calibration specifically includes: Establish a data link with the cloud database; Select the reference calibration point in the historical calibration curve that has the predetermined parameter of interest; Based on the parameters of interest at the problematic calibration point, the parameters of interest at the reference calibration point, and the signal value of the reference calibration point, the signal value of the problematic calibration point is calculated proportionally and used as the calibration signal for this calibration.

8. A storage medium containing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to perform the calibration correction method for a sample analyzer as described in any one of claims 1-7.

9. A sample analyzer, characterized in that, It has the storage medium according to claim 8.

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