Sample analysis system and method

Abstract

The invention provides a sample analysis system and method, and relates to the field of blood detection, and the system comprises: a first blood cell analysis device for detecting platelets in a blood sample based on an impedance method; the second blood cell analysis device is used for detecting platelets in the blood sample based on an optical method; a smear preparation device for preparing a blood smear from the blood sample; a cell image analysis device for acquiring and analyzing an image of a cell in the blood smear; the control device is used for acquiring a first platelet count value from the first blood cell analysis device; if the first platelet count value is judged to be subjected to abnormal interference, indicating a second blood cell analysis device to perform optical reinspection to obtain a second platelet count value; if it is judged that the first platelet count value is not subjected to abnormal interference and is out of the first preset range, the smear preparation device is indicated to prepare the to-be-detected blood smear, and the cell image analysis device is indicated to perform image method reinspection on the to-be-detected blood smear, so that the detection efficiency can be improved, and the detection cost can be reduced.

Description

Technical Field

[0001] This disclosure relates to the field of blood testing, and in particular to a sample analysis system and method. Background Technology

[0002] Platelets (PLTs) are the smallest cells in the blood, playing crucial roles in maintaining vascular endothelial integrity, aggregation, adhesion, coagulation, and clot retraction. Platelet count is a vital indicator for assessing the body's hemostatic function and monitoring clinical medication use, and it plays a key role in clinical decisions regarding platelet transfusion. Initially, platelet counting was done manually under a microscope using a counting chamber, but this method was inefficient and labor-intensive. With advancements in hematology analysis technology, various automated instruments have gradually replaced manual microscopic counting. These instruments utilize methods such as impedance spectroscopy (PLT-I), optical platelet counting (PLT-O), and imaging techniques to significantly improve the efficiency of laboratory medicine.

[0003] However, the counting methods used by these instruments have their own limitations, which can lead to falsely high or low platelet counts in certain abnormal situations. Relying solely on instrumental counts can cause clinical misinterpretations, further impacting clinical treatment and decision-making.

[0004] Impedance method (also known as electrical impedance method) is based on the Coulter principle and counts platelet counts (PLTs) based on differences in cell volume. The advantages of the impedance method are large statistical output, good repeatability, high speed, and low cost. In normal samples, the volume distribution of PLTs differs significantly from that of red blood cells (RBCs) and white blood cells (WBCs), and the magnitude of the impedance signal can be used to distinguish between PLTs and RBCs. In certain abnormal conditions, such as the presence of small red blood cells or fragments in the blood, the PLT measurement results obtained by the impedance method may be falsely high due to interference from red blood cells; conversely, when large PLTs or PLT aggregation are present in the blood, the PLT measurement results obtained by the impedance method may be falsely low, which could lead to incorrect blood transfusions.

[0005] Optical methods are based on the Mie scattering principle. Special dyes are used to stain platelets and other blood cells to varying degrees. After staining, the blood cells are encased in a sheath and passed sequentially through a detector. The forward scattered light and fluorescence intensity of the passing blood cells are detected. Based on the detected optical signals, platelets can be distinguished from and counted. Optical methods can overcome interference from small red blood cells and debris, but they are generally more expensive, and for samples with a small number of platelet aggregates, false low counts can still occur.

[0006] Image-based methods automatically photograph blood smears and count platelets and red blood cells in each field of view, simulating manual microscopic examination. The advantages of image-based methods are that they use the same methodology as manual microscopy, are unaffected by small red blood cells, debris, or large platelets, and can accurately identify samples with platelet aggregation by recognizing clusters. The disadvantages are that, due to speed limitations, image-based methods often have lower statistical yields and poor reproducibility of platelet counts.

[0007] The above describes commonly used platelet counting methods in laboratory departments. Each method has its advantages and disadvantages. Therefore, to ensure the accuracy of platelet report values, most hospitals have established a series of review and retesting rules for platelets. Laboratory physicians analyze and judge abnormalities in various platelet tests and select appropriate testing methods to obtain accurate platelet counts, thereby achieving a balance between report accuracy, departmental efficiency, and departmental costs. However, hospital laboratories process a large volume of blood routine samples, with concentrated sample volumes during the morning rush hour. Sample review consumes a significant amount of physicians' time, and in severe cases, may lead to delays in report issuance. Furthermore, due to the practice of one person performing multiple roles in some hospitals, this review and retesting based on manual analysis and judgment cannot guarantee consistent quality and efficiency, and there is a risk of human error in platelet review.

[0008] To improve efficiency, several solutions have been developed to optimize the platelet count review process. For example, some hospitals, based on the 41 international guidelines, have customized automated retesting rules in their Laboratory Information Systems (LIS). These rules automatically approve samples with completely normal platelet counts. However, the automatic approval rate of this approach is generally low; the remaining samples still require manual review for processing. It cannot automatically generate reports, does not completely eliminate manpower, and remains inefficient. Some instrument manufacturers have also incorporated automatic rollback and retesting rules into their instruments. However, these solutions often involve a high retesting rate, increasing laboratory costs. Furthermore, retested samples still require manual review by doctors to determine abnormalities, failing to address the root cause of the problem. Besides using simple retesting rules, mathematical models are also being used to identify abnormal samples to help determine whether a retest of platelet counts is necessary. Chinese patent application CN202110738187 discloses a platelet detection system based on an error prediction model. This system uses the error prediction model to judge samples requiring retesting. If the result is positive, a portion of the sample is added to the retesting unit for further testing. If the result is a false positive, no further retesting is performed, thus reducing the number of samples required for PLT-F retesting. However, this method does not consider platelet aggregation, and its main function is to reduce the number of PLT-F retests and save reagent costs. Even with this system, a large number of samples still require manual review, failing to completely eliminate manpower and maintaining relatively low efficiency. Summary of the Invention

[0009] Based on this, the embodiments of this disclosure propose the following solution, which can solve the problem that the current platelet testing of a large number of samples in the laboratory requires manual review and processing, consuming a lot of time for laboratory physicians, thereby improving testing efficiency. In addition, the embodiments of this disclosure can also reduce testing costs.

[0010] According to a first aspect of this disclosure, a sample analysis system is provided, comprising:

[0011] The first blood cell analysis device is configured to detect platelets in a blood sample based on impedance method to obtain a platelet count value;

[0012] The second blood cell analysis device is configured to detect platelets in a blood sample using an optical method to obtain a platelet count value.

[0013] A smear preparation apparatus configured for preparing blood smears from blood samples;

[0014] A cell image analysis device is configured to acquire images of cells in a blood smear and analyze the images to obtain platelet detection results;

[0015] The control device is configured to:

[0016] The first blood cell analysis device is controlled to perform impedance detection on the blood sample to be tested in order to obtain the first platelet count value of the blood sample to be tested.

[0017] Determine whether the first platelet count value is subject to abnormal interference, wherein the abnormality includes at least one of platelet histogram abnormality, red blood cell histogram abnormality, and platelet aggregation;

[0018] If so, the second blood cell analysis device is controlled to perform an optical re-examination of the blood sample to be tested, so as to obtain the second platelet count value of the blood sample to be tested;

[0019] If not, determine whether the first platelet count value is within the first preset range;

[0020] If so, output the first platelet count value;

[0021] If not, the smear preparation device is controlled to prepare a first blood smear from the blood sample to be tested, and the cell image analysis device is controlled to perform cell image analysis on the first blood smear to be tested, so as to obtain the first platelet detection result of the blood sample to be tested.

[0022] According to a second aspect of this disclosure, a sample analysis system is provided, comprising:

[0023] The first blood cell analysis device is configured to detect platelets in a blood sample based on impedance method to obtain a platelet count value;

[0024] The second blood cell analysis device is configured to detect platelets in a blood sample using an optical method to obtain a platelet count value.

[0025] A smear preparation apparatus configured for preparing blood smears from blood samples;

[0026] A cell image analysis device is configured to acquire images of cells in a blood smear and analyze the images to obtain platelet detection results;

[0027] The control device is configured to:

[0028] The first blood cell analysis device is controlled to perform impedance detection on the blood sample to be tested in order to obtain the first platelet count value of the blood sample to be tested.

[0029] Determine whether the first platelet count value is subject to abnormal interference and determine whether the first platelet count value is within a first preset range, wherein the abnormality includes at least one of platelet histogram abnormality, red blood cell histogram abnormality, and platelet aggregation;

[0030] If it is determined that the first platelet count value is affected by the abnormal interference, the second blood cell analysis device is controlled to perform an optical re-examination of the blood sample to be tested in order to obtain the second platelet count value of the blood sample to be tested.

[0031] If it is determined that the first platelet count value is not affected by the abnormal interference and is within the first preset range, then the first platelet count value is output; and

[0032] If it is determined that the first platelet count value is not affected by the abnormal interference and is outside the first preset range, then the smear preparation device is controlled to prepare a first blood smear from the blood sample to be tested, and the cell image analysis device is controlled to perform cell image analysis on the first blood smear to be tested, so as to obtain the first platelet detection result of the blood sample to be tested.

[0033] According to a third aspect of this disclosure, a sample analysis system is provided, comprising:

[0034] The first blood cell analysis device is configured to detect platelets in a blood sample based on impedance method to obtain a platelet count value;

[0035] A second blood cell analysis device is configured to detect platelets in a blood sample using optical methods to obtain a platelet count; and

[0036] The control device is configured to:

[0037] The first blood cell analysis device is controlled to perform impedance detection on the blood sample to be tested in order to obtain the first platelet count value of the blood sample to be tested.

[0038] Determine whether the first platelet count value is subject to abnormal interference, wherein the abnormality includes at least one of platelet histogram abnormality, red blood cell histogram abnormality, and platelet aggregation;

[0039] If so, the second blood cell analysis device is controlled to perform an optical re-examination of the blood sample to be tested in order to obtain the second platelet count value of the blood sample to be tested;

[0040] If not, determine whether the first platelet count value is within the first preset range;

[0041] If so, output the first platelet count value;

[0042] If not, the first platelet count is compared with the first platelet count of the subject corresponding to the blood sample to be tested in the past.

[0043] According to a fourth aspect of this disclosure, a sample analysis system is provided, comprising:

[0044] The first blood cell analysis device is configured to detect platelets in a blood sample based on impedance method to obtain a platelet count value;

[0045] The second blood cell analysis device is configured to detect platelets in a blood sample using an optical method to obtain a platelet count value.

[0046] The control device is configured to:

[0047] The first blood cell analysis device is controlled to perform impedance detection on the blood sample to be tested in order to obtain the first platelet count value of the blood sample to be tested.

[0048] Determine whether the first platelet count value is subject to abnormal interference and determine whether the first platelet count value is within a first preset range, wherein the abnormality includes at least one of platelet histogram abnormality, red blood cell histogram abnormality, and platelet aggregation;

[0049] If it is determined that the first platelet count value is abnormally interfered with, the second blood cell analysis device is controlled to perform an optical re-examination of the blood sample to be tested in order to obtain the second platelet count value of the blood sample to be tested.

[0050] If it is determined that the first platelet count value is not affected by the abnormal interference and is within the first preset range, then the first platelet count value is output; and

[0051] If it is determined that the first platelet count value is not affected by the abnormal interference and is outside the first preset range, then the first platelet count value is compared with the historical first platelet count value of the subject corresponding to the blood sample to be tested.

[0052] According to the fifth aspect of this disclosure, a sample analysis method is provided, comprising:

[0053] The first blood cell analysis device performs impedance detection on the blood sample to be tested to obtain the first platelet count value of the blood sample to be tested;

[0054] Determine whether the first platelet count value is subject to abnormal interference and determine whether the first platelet count value is within a first preset range, wherein the abnormality includes at least one of platelet histogram abnormality, red blood cell histogram abnormality, and platelet aggregation;

[0055] If it is determined that the first platelet count value is affected by the abnormal interference, the second blood cell analysis device performs an optical re-examination on the blood sample to be tested to obtain the second platelet count value of the blood sample to be tested.

[0056] If it is determined that the first platelet count value is not affected by the abnormal interference and is within the first preset range, then the first platelet count value is output; and

[0057] If it is determined that the first platelet count value is not affected by the abnormal interference and is outside the first preset range, then the smear preparation device prepares a first blood smear from the blood sample to be tested, and the cell image analysis device performs cell image analysis on the first blood smear to be tested to obtain the first platelet detection result of the blood sample to be tested; or, if it is determined that the first platelet count value is not affected by the abnormal interference and is outside the first preset range, then the first platelet count value is compared with the historical first platelet count value of the subject corresponding to the blood sample to be tested.

[0058] By implementing the technical solutions of this disclosure, it is possible to intelligently schedule different platelet detection methods to test the blood sample during the platelet detection process, and then output the final intelligent platelet report based on the platelet detection results obtained through different methodologies, thereby improving the efficiency and quality of the laboratory. Attached Figure Description

[0059] The technical solutions of this disclosure will be further described in detail below with reference to the accompanying drawings and embodiments.

[0060] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0061] Figure 1 This is a schematic diagram of the structure of a sample analysis system according to some embodiments of the present disclosure;

[0062] Figure 2 This is a schematic flowchart of the sample analysis system according to the first embodiment of this disclosure;

[0063] Figure 3 This is a schematic flowchart of the sample analysis system according to the second embodiment of this disclosure;

[0064] Figure 4 This shows an example of an abnormal platelet histogram;

[0065] Figure 5 Examples of abnormal red blood cell histograms are shown;

[0066] Figure 6 An example of a scatter plot obtained by optical methods is shown;

[0067] Figure 7 The platelet histogram is shown, obtained by the control device.

[0068] Figure 8 This is a schematic flowchart of a sample analysis method according to some embodiments of the present disclosure;

[0069] Figure 9 This is a schematic flowchart of a sample analysis method according to other embodiments of the present disclosure. Detailed Implementation

[0070] The technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. Based on the embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0071] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of this disclosure.

[0072] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0073] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0074] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0075] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0076] One platelet detection process in related technologies is as follows: First, platelets in the blood sample are detected using impedance spectroscopy. Then, based on the PLT-I detection result of impedance spectroscopy, it is determined whether an optical method is needed for re-detection. If the PLT-I detection result of impedance spectroscopy is interfered with, an optical method is automatically used to obtain the PLT-O detection result. Next, the reliability of the PLT-O platelet detection result is assessed. Since the optical method can completely resolve the interference of small RBCs, fragments, and large PLTs on platelet counts, but cannot resolve the interference of some PLT aggregations on platelet counts, samples with low PLT-O counts are automatically prepared into blood smears. A slide reader is then used to perform platelet estimation and image-based detection of platelet clusters on the blood smears.

[0077] A total of 1916 outpatient and inpatient samples were randomly selected from a tertiary hospital over 20 days. Using the results of the hospital's daily reports as reference values, the data from these samples were processed using this testing procedure with relevant technology. The retest statistics are shown in Table 1 below:

[0078] Table 1

[0079]

[0080] As shown in Table 1 above, only 3 out of 1916 samples required manual review. This demonstrates that this detection method can improve platelet detection efficiency while ensuring accuracy. It addresses the current problem in laboratory departments where large-scale platelet testing requires manual review and processing, consuming significant time for physicians, thus increasing testing efficiency.

[0081] However, since optical methods are used to retest whenever the impedance method results are interfered with, the proportion of reticulocyte (RET) channels used is high (as shown in Table 1 above, the proportion is as high as about 18.3%), resulting in higher platelet detection costs.

[0082] Based on this, this disclosure proposes the following intelligent platelet reporting solution that can balance detection efficiency and detection cost.

[0083] Figure 1 This is a schematic diagram of the structure of a sample analysis system according to some embodiments of this disclosure. For example... Figure 1 As shown, the sample analysis system 100 includes a first blood cell analysis device 111, a second blood cell analysis device 112, a smear preparation device 120, a cell image analysis device 130, and a control device 140.

[0084] A first blood cell analysis device 111 is configured to detect platelets in a blood sample based on impedance analysis to obtain a platelet count. In some embodiments, the first blood cell analysis device 111 may include an impedance detection device (not shown) of a flow chamber having an electrode-equipped orifice. The impedance detection device can detect the DC impedance generated when particles in the test sample pass through the orifice and output an electrical signal reflecting information about the particles passing through the orifice, so that the first blood cell analysis device 111 can obtain a platelet count based on the output electrical signal.

[0085] As can be understood here, the impedance channel used to obtain platelet counts refers to the impedance detection of the blood sample to be tested by the first blood cell analysis device 111 to obtain the electrical signal generated when the blood sample passes through the flow chamber. Based on the electrical signal, a platelet histogram or an impedance-based platelet count value can be obtained.

[0086] The second blood cell analysis device 112 is configured to detect platelets in a blood sample using an optical method to obtain a platelet count. In some embodiments, the second blood cell analysis device 112 may include an optical detection device (not shown) having a light source, a flow chamber, and a photodetector. Particles of the test sample can flow within the flow chamber, light emitted by the light source illuminates the particles in the flow chamber to generate optical information, and the photodetector detects the optical information. The second blood cell analysis device 112 can obtain a platelet count based on the detected optical information.

[0087] In some implementations, the first blood cell analyzer 111 and the second blood cell analyzer 112 are independently configured. For other implementations, see [link to relevant documentation]. Figure 1 The first blood cell analysis device 111 and the second blood cell analysis device 112 are integrated into the blood cell analyzer 110.

[0088] In some embodiments, the blood cell analyzer 110 is used to perform a complete blood count (CBC) on a sample to be tested, such as a blood sample, to obtain sample test results. CBC parameters, or blood test results, may include at least one or more combinations of white blood cell differential count, white blood cell count and morphology parameters, HGB (hemoglobin) test results, red blood cell count, and platelet count and morphology parameters.

[0089] In some implementations, the blood cell analyzer 110 typically includes a sampling device, a sample preparation device, an optical detection device, and a controller (not shown). The sampling device has a sampling needle for collecting a blood sample and delivering the collected blood sample to the sample preparation device. The sample preparation device has a reaction chamber and a reagent supply unit, which stores reagents for reacting with the blood sample and supplies appropriate reagents to the reaction chamber as needed. The sample preparation device may include at least one reaction chamber, wherein the at least one reaction chamber is configured such that the blood sample from the sampling device and the reagent from the reagent supply unit react to prepare a test sample.

[0090] For example, the at least one reaction chamber may include a first reaction chamber and a second reaction chamber, and the reagent supply device may include a first reagent supply unit and a second reagent supply unit. The sampling device is used to partially distribute the collected blood sample to be tested into the first reaction chamber and the second reaction chamber, respectively. The first reagent supply unit may be used to provide a hemolysin and a first fluorescent staining agent to the first reaction chamber, thereby mixing and reacting the portion of the blood sample allocated to the first reaction chamber with the hemolysin and the first fluorescent staining agent to prepare a first assay sample for white blood cell classification. The second reagent supply unit may be used to provide a diluent and a second fluorescent staining agent to the second reaction chamber, thereby mixing and reacting the portion of the blood sample allocated to the second reaction chamber with the diluent and the second fluorescent staining agent to prepare a second assay sample for platelet identification.

[0091] It can be understood here that the DIFF channel used for white blood cell classification refers to the detection of the first test sample prepared by the sample preparation device by the second blood cell analysis device 112, so as to obtain the first optical signal generated after the first test sample is irradiated by light when passing through the flow chamber, and the white blood cell classification result can be obtained based on the first optical signal; while the RET channel used for platelet identification refers to the detection of the second test sample prepared by the sample preparation device by the second blood cell analysis device 112, so as to obtain the second optical signal generated after the second test sample is irradiated by light when passing through the flow chamber, and the platelet count value based on the optical method can be obtained based on the second optical signal.

[0092] The smear preparation apparatus 120 is configured to prepare blood smears from blood samples, and the cell image analysis apparatus (or may also be called a slide reader, digital cell image analysis system, or digital microscope) 130 is configured to acquire images of cells in the blood smear and analyze the images to obtain platelet detection results.

[0093] As one implementation, the cell image analysis device includes a camera and a lens group, wherein the lens group may include a first objective lens and a second objective lens. The first objective lens may be, for example, a 10x objective lens, and the second objective lens may be, for example, a 100x objective lens. The user can select any magnification objective lens to photograph a blood smear to obtain cell images of the cells in the sample on the blood smear, thereby performing cell image analysis on the blood smear.

[0094] The control device 140 is communicatively connected to the first blood cell analysis device 111, the second blood cell analysis device 112, the smear preparation device 120, and the cell image analysis device 130, respectively.

[0095] As some implementations, the control device 140 includes at least a processor and a memory. The memory stores a computer program that, when executed by the processor, implements the steps of the methods and embodiments thereof presented in this disclosure.

[0096] Here, a computer program includes computer program code, which may be in the form of source code, object code, executable file, or some intermediate form.

[0097] In some embodiments, the processor may be a circuit, one or more of an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field-programmable gate array (FPGA), a central processing unit (CPU), a controller, a microcontroller, or a microprocessor, thereby enabling the processor to perform some or all of the steps of the methods in the various embodiments of this disclosure, or any combination thereof.

[0098] In some embodiments, the memory, particularly the computer-readable storage medium, may be volatile memory or non-volatile memory, or both. Non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), ferromagnetic random access memory (FRAM), flash memory, magnetic surface memory, optical disc, or compact disc read-only memory (CD-ROM); magnetic surface memory may be disk storage or magnetic tape storage. Volatile memory may be random access memory (RAM), which serves as an external cache. By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM), SyncLink Dynamic Random Access Memory (SLDRAM), and Direct Rambus Random Access Memory (DRRAM).The memories described in the embodiments of this disclosure are intended to include these and any other suitable types of memories.

[0099] In some embodiments, the control device 140 may further include a communication interface and an I / O interface, wherein the processor, memory, communication interface and I / O interface of the control device 140 can communicate via a bus.

[0100] In some embodiments, the I / O interface comprises serial interfaces such as USB, IEEE 1394, or RS-232C; parallel interfaces such as SCSI, IDE, or IEEE 1284; and analog signal interfaces such as D / A converters and A / D converters. Input devices such as keyboards, mice, trackballs, click wheels, buttons, touchpads, touchscreens, or other control components can be connected to the I / O interface, allowing users to directly input data into the control device 130. Additionally, a display with display capabilities, such as an LCD screen, touchscreen, or LED display, can be connected to the I / O interface. The control device 140 can output processed data as image display data to the display for display, such as cell images, analysis data, and instrument operating parameters.

[0101] In some embodiments, the communication interface can be an interface of any communication protocol. The communication interface communicates with the outside world via a network. The control device 140 can transmit data with any device connected through the network via the communication interface using a certain communication protocol. It should be understood that the sample analysis system according to the embodiments of the present invention is not limited to the communication interface. Whether it is an interface of a currently known communication protocol or an interface of a communication protocol developed in the future, it can be used in the cell image analysis system of the embodiments of the present invention to realize the function of communicating with the outside world via a network, and no limitation is made here.

[0102] The cell image analysis device according to the embodiments of this disclosure can provide a corresponding operation interface for operators to operate during operation. The operation interface may include various corresponding controls, such as identification checkboxes or menu bars, so that operators can input operation instructions on the operation interface according to the actual use situation, so as to realize the analysis of cells on blood smears through the cell image analysis device.

[0103] According to the first embodiment of this disclosure, the control device 140 is configured to:

[0104] The first blood cell analysis device 111 is controlled to perform impedance detection on the blood sample to be tested in order to obtain the first platelet count value of the blood sample to be tested.

[0105] The system determines whether the first platelet count is subject to abnormal interference and whether the first platelet count is within a first preset range. The abnormality includes at least one of platelet histogram abnormality, red blood cell histogram abnormality, and platelet aggregation. If the first platelet count is determined to be subject to abnormal interference, the second blood cell analysis device 112 is controlled to perform an optical re-examination of the blood sample to be tested to obtain the second platelet count of the blood sample to be tested.

[0106] If it is determined that the first platelet count value is not abnormally disturbed and is within the first preset range, then output the first platelet count value; and

[0107] If it is determined that the first platelet count value is not abnormally interfered with and is outside the first preset range, the smear preparation device 120 is controlled to prepare the first blood smear from the blood sample to be tested, and the cell image analysis device 130 is controlled to perform cell image analysis (i.e. image re-examination) on the first blood smear to be tested, so as to obtain the first platelet detection result of the blood sample to be tested.

[0108] In the sample analysis system 100 of the first embodiment of this disclosure, the first blood cell analyzer 111 first uses impedance detection to obtain a first platelet count value from the blood sample to be tested. Then, based on the impedance detection result, i.e., the first platelet count value, it is determined whether a retest is needed and whether to use an optical method or an image method for retesting. This can ensure the accuracy of platelet detection, reduce the proportion of manual review to improve the efficiency of platelet detection, and reduce the proportion of RET channel usage to reduce the cost of platelet detection. In this way, the accuracy, efficiency, and cost of platelet detection can be balanced.

[0109] In some embodiments, see Figure 1 The sample analysis system 100 also includes a first transport track 150 and a second transport track 160. The first transport track 150 is used to transport a test tube rack 10, which can hold multiple test tubes 11 loaded with samples to be tested, from the blood cell analyzer 110 to the smear preparation device 120. The second transport track 160 is used to transport a slide basket 20, which can hold multiple prepared smears 21, from the smear preparation device 120 to the cell image analysis device 130.

[0110] In these embodiments, the control device 140 is electrically connected to and controls the operation of the first transfer track 150 and the second transfer track 160, respectively. For example, the control device 140 is indirectly electrically connected to the first transfer track 150 and the second transfer track 160 through a scheduling controller (not shown).

[0111] As one implementation, the control device 140 is configured to, when it is determined that the first platelet count value is not abnormally disturbed and is outside a first preset range (e.g., the first preset range may be 100 to 600), control the first transmission track 150 to transmit the blood sample to be tested (in a sample tube) to the smear preparation device 120, control the smear preparation device 120 to prepare the first blood smear of the blood sample to be tested, and control the second transmission track 160 to transmit the first blood smear to be tested to the cell image analysis device 130 for image-based re-examination.

[0112] In some embodiments, see Figure 1 The sample analysis system 100 also includes feeding mechanisms 170 and 180, respectively corresponding to the blood analyzer 110 and the smear preparation device 120. Feeding mechanism 170 includes a loading buffer 171, a feeding detection area 172, and an unloading buffer 173. Feeding mechanism 180 includes a loading buffer 181, a feeding detection area 182, and an unloading buffer 183.

[0113] When a blood sample to be tested on the test tube rack 10 needs to be transported to the blood cell analyzer 110 for testing, the test tube rack 10 is first transported to the loading buffer area 171 via the first transport track 150, and then transported from the loading buffer area 171 to the feed detection area 172 for testing by the blood cell analyzer 110. After the test is completed, it is unloaded from the feed detection area 172 to the unloading buffer area 173, and finally enters the first transport track 150 from the unloading buffer area 173.

[0114] Similarly, when the blood sample to be tested on the test tube rack 10 needs to be examined under a microscope (i.e., image-based detection), the test tube rack 10 first needs to be transported to the smear preparation device 120 to prepare a smear of the blood sample to be tested. The test tube rack 10 is first transported from the first transfer track 150 to the loading buffer area 181, and then from the loading buffer area 181 to the feed detection area 182 where the smear preparation device 120 prepares the smear of the blood sample to be tested. After the smear preparation is completed, it is unloaded from the feed detection area 182 to the unloading buffer area 183, and finally from the unloading buffer area 183 back into the first transfer track 150. The smear preparation device 120 stores the prepared smear in the slide basket 20, and transports the slide basket 20 containing the smear to be tested to the cell image analysis device 130 via the second transfer track 160. The cell image analysis device 130 takes images of the cells in the sample on the smear to be tested and analyzes them to obtain the platelet detection results (e.g., the first platelet detection result) of the blood sample to be tested.

[0115] In some embodiments, the sample analysis system 100 further includes a display device (not shown) for displaying sample test results, which may be mounted on the blood cell analyzer 110, the cell image analysis device 130, or the control device 140, or may be mounted independently of these components. The display device may include a display screen, such as a liquid crystal display screen.

[0116] It is understandable that one can first determine whether the first platelet count is abnormally interfered with, and then determine whether the first platelet count is within the first preset range; or one can first determine whether the first platelet count is within the first preset range, and then determine whether the first platelet count is abnormally interfered with; or one can simultaneously determine whether the first platelet count is within the first preset range and whether the first platelet count is abnormally interfered with.

[0117] The following is combined Figure 2 Further description is provided of some embodiments of the sample analysis system 100 of the first embodiment of this disclosure.

[0118] When using the sample analysis system 100 in a hospital, the CD mode, i.e., impedance channel, is usually enabled by default to detect platelets. Then, based on the detection results of the impedance channel, it is decided whether to enable the CDR mode, i.e., RET channel.

[0119] Therefore, in some embodiments, the control device 140 is configured to first determine whether the first platelet count value is abnormally interfered with, and then determine whether the first platelet count value is within a first preset range; that is, the control device 140 is configured to:

[0120] The first blood cell analysis device 111 is controlled to perform impedance detection (i.e., CD mode) on the blood sample to be tested in order to obtain the first platelet count value of the blood sample to be tested.

[0121] Determine whether the first platelet count value is affected by abnormal interference. Abnormality here includes at least one of platelet histogram abnormality, red blood cell histogram abnormality, and platelet aggregation.

[0122] If so, the second blood cell analyzer 112 is controlled to perform an optical re-examination (i.e., CDR mode) on the blood sample to be tested to obtain the second platelet count value of the blood sample to be tested.

[0123] If not, determine whether the first platelet count is within the first preset range;

[0124] If so, output the first platelet count value (no need to retest the blood sample to be tested);

[0125] If not, the smear preparation device 120 is controlled to prepare a first blood smear from the blood sample to be tested, and the cell image analysis device 130 is controlled to perform cell image analysis on the first blood smear to be tested, so as to obtain the first platelet detection result of the blood sample to be tested.

[0126] In some embodiments, the control device 140 is further configured to:

[0127] After the second blood cell analyzer 112 performs an optical re-examination on the blood sample to be tested to obtain the second platelet count value of the blood sample to be tested, it is determined whether the second platelet count value obtained by the optical re-examination is within the second preset range.

[0128] If (for example, the second platelet count is greater than 100), then output the second platelet count (no further retesting of the blood sample is required);

[0129] If not (e.g., the second platelet count is less than 100), the smear preparation device 120 is controlled to prepare a second blood smear from the blood sample to be tested, and the cell image analysis device 130 is controlled to perform cell image analysis on the second blood smear, i.e., image-based re-examination, to obtain the second platelet detection result of the blood sample to be tested.

[0130] In other words, in these embodiments, if the second platelet count obtained by optical re-examination is still abnormal, the blood sample to be tested is further re-examined using imaging methods. This can further improve the accuracy of platelet detection.

[0131] It should be understood that, in order to facilitate the distinction between platelet detection results obtained by image method under two different procedures, in this paper, the platelet detection result obtained by impedance method detection followed by image method re-examination is referred to as the first platelet detection result, and the platelet detection result obtained by impedance method detection followed by optical method re-examination and then image method re-examination is referred to as the second platelet detection result. However, in some cases, the first platelet detection result and the second platelet detection result may be directly abbreviated as platelet detection result.

[0132] In other embodiments, the second platelet count value may not be analyzed after optical re-examination, but the second platelet count value may be directly output.

[0133] In some embodiments, the control device 140 is further configured to:

[0134] After the smear preparation device 120 prepares a first blood smear from the blood sample to be tested and the cell image analysis device 130 performs cell image analysis on the first blood smear to be tested to obtain the first platelet detection result of the blood sample to be tested, the device determines whether there is an abnormality in the blood sample to be tested that interferes with the first platelet count value or whether there is platelet abnormality, especially platelet aggregation, in the blood sample to be tested based on the first platelet detection result.

[0135] If not, output the first platelet count value;

[0136] If so, an alarm message will be output.

[0137] Here, alarm prompts can be used to indicate that the results need to be manually processed.

[0138] As some implementation methods, if the number of platelet clusters in the blood sample to be tested is greater than a first preset threshold, or the deviation between the estimated platelet count and the first platelet count in the blood sample to be tested is greater than a second preset threshold, then it is determined that platelet aggregation exists in the blood sample to be tested (or that there is a platelet abnormality), that is, that there is an abnormality in the blood sample to be tested that interferes with the first platelet count; otherwise, it is not. For example, if the number of clusters is greater than 30 and the ratio of clusters to the first platelet count is greater than 0.3, it can be determined that platelet aggregation exists in the blood sample to be tested (or that there is a platelet abnormality), that is, that there is an abnormality in the blood sample to be tested that interferes with the first platelet count; otherwise, it is not.

[0139] In some alternative embodiments, the first platelet detection result may not be analyzed after the image method re-examination, but the first platelet detection result may be directly output, and optionally the first platelet count value may be output.

[0140] Similarly, in some embodiments, the control device 140 is also configured to:

[0141] After the smear preparation device 120 prepares a second blood smear from the blood sample to be tested and the cell image analysis device 130 performs cell image analysis on the second blood smear to obtain the second platelet detection result of the blood sample to be tested, the device determines whether there is any abnormality in the blood sample to be tested that interferes with the second platelet count value or whether there is any platelet abnormality, especially platelet aggregation, in the blood sample to be tested based on the second platelet detection result.

[0142] If not, output the second platelet count value;

[0143] If so, an alarm message will be output.

[0144] As some implementation methods, if the number of platelet clusters in the blood sample to be tested is greater than the first preset threshold or the deviation between the estimated platelet count and the second platelet count in the blood sample to be tested is greater than the second preset threshold, then it is determined that there is platelet aggregation (or platelet abnormality) in the blood sample to be tested, that is, it is determined that there is an abnormality in the blood sample to be tested that interferes with the second platelet count; otherwise, it is not.

[0145] In some alternative embodiments, the second platelet detection results may not be analyzed after the image-based re-examination, but the second platelet detection results may be directly output, and optionally the second platelet count value may be output.

[0146] The sample analysis system 100 using embodiments of this disclosure is based on Figure 2 The workflow shown above was used to test the 1916 cases collected above, and the retest statistics are shown in Table 2 below:

[0147] Table 2

[0148]

[0149] As can be seen from Table 2 above, only about 5.1% of cases were re-examined using the RET channel, and only 5 cases required manual review.

[0150] Therefore, the sample analysis system 100 according to the first embodiment of this disclosure can improve the efficiency of platelet detection by ensuring the accuracy of platelet detection and reducing the proportion of manual review, while reducing the proportion of RET channel usage to reduce the cost of platelet detection.

[0151] The sample analysis system 100 according to the second embodiment of this disclosure will now be described. The sample analysis system 100 according to the second embodiment of this disclosure also includes the first blood cell analysis device 111, the second blood cell analysis device 112, and the corresponding control device 140 described above.

[0152] In a second embodiment of this disclosure, the control device 140 is configured to:

[0153] The first blood cell analysis device 111 is controlled to perform impedance detection on the blood sample to be tested in order to obtain the first platelet count value of the blood sample to be tested;

[0154] Determine whether the first platelet count value is subject to abnormal interference and determine whether the first platelet count value is within a first preset range, wherein the abnormality includes at least one of platelet histogram abnormality, red blood cell histogram abnormality, and platelet aggregation;

[0155] If it is determined that the first platelet count value is abnormally interfered with, the second blood cell analysis device 112 is controlled to perform an optical re-examination of the blood sample to be tested in order to obtain the second platelet count value of the blood sample to be tested.

[0156] If it is determined that the first platelet count value is not abnormally disturbed and is within the first preset range, then output the first platelet count value; and

[0157] If it is determined that the first platelet count value is not abnormally disturbed and is outside the first preset range, then the first platelet count value is compared with the historical first platelet count value of the subject corresponding to the blood sample to be tested.

[0158] In the sample analysis system 100 according to the second embodiment of this disclosure, the first platelet count value is obtained by impedance detection of the blood sample to be tested using the first blood cell analysis device 111, and then...

[0159] Analyzing the results of impedance method testing, i.e., the initial platelet count, determines whether retesting is necessary and whether to use optical or historical comparison methods. This approach ensures accuracy in platelet testing, reduces manual review to improve efficiency, and minimizes the use of RET channels to lower costs. Thus, it balances accuracy, efficiency, and cost in platelet testing.

[0160] In some embodiments, the sample analysis system 100 of the second embodiment may further include other components of the sample analysis system 100 of the first embodiment, such as the smear preparation device 120 and the cell image analysis device 130. Descriptions of similar components can be found above and will not be repeated here.

[0161] Similarly, it is understandable that one can first determine whether the first platelet count is abnormally interfered with, and then determine whether the first platelet count is within the first preset range; or one can first determine whether the first platelet count is within the first preset range, and then determine whether the first platelet count is abnormally interfered with; or one can simultaneously determine whether the first platelet count is within the first preset range and whether the first platelet count is abnormally interfered with.

[0162] The following is combined Figure 3 Further, some embodiments of the sample analysis system 100 of the second implementation of this disclosure are provided.

[0163] In some embodiments, the control device 140 is configured to first determine whether the first platelet count value is abnormally interfered with, and then determine whether the first platelet count value is within a first preset range; that is, the control device 140 is configured to:

[0164] The first blood cell analysis device 111 is controlled to perform impedance detection on the blood sample to be tested in order to obtain the first platelet count value of the blood sample to be tested;

[0165] To determine whether the first platelet count value is affected by abnormal interference, abnormalities include at least one of the following: abnormal platelet histogram, abnormal red blood cell histogram, and platelet aggregation;

[0166] If so, the second blood cell analyzer 112 is controlled to perform an optical re-examination of the blood sample to be tested in order to obtain the second platelet count value of the blood sample to be tested.

[0167] If not, determine whether the first platelet count is within the first preset range;

[0168] If so, output the first platelet count (no need for retesting);

[0169] If not, the first platelet count is compared with the historical first platelet count of the subject corresponding to the blood sample to be tested.

[0170] In some embodiments, the sample analysis system 100 of the second embodiment of this disclosure further includes the smear preparation device 120 and the cell image analysis device 130 described above.

[0171] In this case, see [link to relevant documentation] as some implementation methods. Figure 3 The control device 140 is also configured to:

[0172] If the deviation of the first platelet count value from the historical first platelet count value is not greater than the first threshold (for example, the absolute deviation of the first platelet count value from the historical first platelet count value is not greater than 20 or the relative deviation is not greater than 20%), then the first platelet count value is output.

[0173] If the deviation between the first platelet count value and the historical first platelet count value is greater than the first threshold, the control smear preparation device 120 prepares the first blood smear from the blood sample to be tested and the control cell image analysis device 130 performs cell image analysis on the first blood smear to be tested, i.e., image re-examination, to obtain the first platelet detection result of the blood sample to be tested.

[0174] In other words, under these implementation methods, if the historical comparison method shows a significant deviation between the current first platelet count value obtained by the impedance method and the historical first platelet count value, then an image method is used for further re-examination. This can further improve the accuracy of platelet detection.

[0175] In other implementations, the control device 140 is also configured to:

[0176] If the deviation between the first platelet count and the historical first platelet count is not greater than the first threshold, then output the first platelet count.

[0177] If the deviation between the first platelet count and a historical first platelet count exceeds a first threshold, an alarm is output. In some embodiments, the control device 140 is further configured to:

[0178] After the second blood cell analyzer 112 performs an optical re-examination on the blood sample to be tested to obtain the second platelet count value of the blood sample to be tested, it is determined whether the second platelet count value is within the second preset range.

[0179] If so, output the second platelet count value without further retesting;

[0180] If not, the second platelet count is compared with the subject's historical second platelet count corresponding to the blood sample to be tested.

[0181] In other words, in these embodiments, if the second platelet count obtained by optical re-examination still shows abnormalities, a further re-examination is performed using the historical comparison method. This can further improve the accuracy of platelet detection.

[0182] As some implementations, the control device 140 is also configured to:

[0183] After the control smear preparation device 120 prepares a second blood smear from the blood sample to be tested and the control cell image analysis device 130 performs cell image analysis on the second blood smear to obtain the second platelet detection result of the blood sample to be tested, if the deviation between the second platelet count value and the historical second platelet count value is not greater than the second threshold, the second platelet count value is output.

[0184] If the deviation between the second platelet count and the historical second platelet count is greater than the second threshold, the smear preparation device 120 is controlled to prepare a second blood smear from the blood sample to be tested, and the cell image analysis device 130 is controlled to perform cell image analysis on the second blood smear, i.e., image-based re-examination, to obtain the second platelet detection result of the blood sample to be tested.

[0185] In other words, under these implementations, if the historical comparison method shows a significant deviation between the current second platelet count obtained by the optical method and the historical second platelet count, then an image-based re-examination is performed. This further improves the accuracy of platelet detection. Furthermore, compared to some embodiments of the first implementation, since the image-based re-examination is not directly performed when the second platelet count obtained by the optical method shows an abnormality, but instead, a historical comparison method is used first, and only when the historical comparison method shows a significant deviation, an image-based re-examination is performed. This reduces the proportion of image-based re-examinations, thereby further improving the efficiency of platelet detection.

[0186] In other implementations, the control device 140 is also configured to:

[0187] If the deviation between the second platelet count and the historical second platelet count is not greater than the second threshold, then output the second platelet count.

[0188] If the deviation between the second platelet count and the historical second platelet count is greater than the first threshold, an alarm will be output.

[0189] It should be understood that the second threshold may be the same as or different from the first threshold.

[0190] In other embodiments, the second platelet count value may not be analyzed after optical re-examination, but the second platelet count value may be directly output.

[0191] In some embodiments, the control device 140 is further configured to:

[0192] After the smear preparation device 120 prepares a first blood smear from the blood sample to be tested and the cell image analysis device 130 performs cell image analysis on the first blood smear to be tested to obtain the first platelet detection result of the blood sample to be tested, the device determines whether there is an abnormality in the blood sample to be tested that interferes with the first platelet count value or whether there is platelet abnormality, especially platelet aggregation, in the blood sample to be tested based on the first platelet detection result.

[0193] If not, output the first platelet count value;

[0194] If so, an alarm message will be output.

[0195] Here, alarm prompts can be used to indicate that the results need to be manually processed.

[0196] As some implementation methods, if the number of platelet clusters in the blood sample to be tested is greater than a first preset threshold or the deviation between the estimated platelet count and the first platelet count in the blood sample to be tested is greater than a second preset threshold, then it is determined that there is platelet aggregation (or platelet abnormality) in the blood sample to be tested, that is, it is determined that there is an abnormality in the blood sample to be tested that interferes with the first platelet count; otherwise, it is not.

[0197] In some alternative embodiments, the first platelet detection result may not be analyzed after the image method re-examination, but the first platelet detection result may be directly output, and optionally the first platelet count value may be output.

[0198] In some embodiments, the control device 140 is further configured to:

[0199] Based on the results of the second platelet test, determine whether there are any abnormalities in the blood sample to be tested that interfere with the second platelet count or whether there are platelet abnormalities, especially platelet aggregation, in the blood sample to be tested;

[0200] If not, output the second platelet count value;

[0201] If so, an alarm message will be output.

[0202] As some implementation methods, if the number of platelet clusters in the blood sample to be tested is greater than the first preset threshold or the deviation between the estimated platelet count and the second platelet count in the blood sample to be tested is greater than the second preset threshold, then it is determined that there is platelet aggregation (or platelet abnormality) in the blood sample to be tested, that is, it is determined that there is an abnormality in the blood sample to be tested that interferes with the second platelet count; otherwise, it is not.

[0203] In some alternative embodiments, the second platelet detection results may not be analyzed after the image-based re-examination, but the second platelet detection results may be directly output, and optionally the second platelet count value may be output.

[0204] The following describes some embodiments of how the control device 140 determines the presence of abnormal platelet histograms, abnormal red blood cells, and platelet aggregation.

[0205] In some embodiments, the control device 140 may be configured to perform feature extraction on the platelet histogram and / or erythrocyte histogram obtained from the impedance channel (e.g., feature extraction may be performed using a neural network) to determine whether there are abnormalities in the platelet histogram and / or erythrocyte histogram based on the extracted features, thereby determining whether the first platelet count value is interfered with by the abnormalities in the platelet histogram and / or erythrocyte histogram.

[0206] Figure 4 Examples of abnormal platelet histograms are shown, and Figure 5 This shows an example of an abnormal red blood cell histogram. Figure 4 and Figure 5 The example shows a large number of small red blood cells (approximately 25.2%) and mitotic red blood cells (approximately 4.5%). Obtained using impedance spectroscopy. Figure 4 The platelet histogram shown indicates an abnormal elevation of the tail of the platelet spike (fL). In this case, the PLT-I count (i.e., the first platelet count) is 81. However, using flow cytometry to label PLT antibodies yields a true PLT count of 23. This demonstrates that the first platelet count is affected by the abnormal platelet histogram. In such cases, the platelet histogram distribution can be obtained using impedance spectroscopy, triggering an alarm for histogram abnormality and requiring a retest using alternative methods to obtain the correct platelet count.

[0207] Optical methods can address a range of issues related to small red blood cells, debris, and large platelet-weighted plasma (PLT) interference. Based on the Mie scattering principle, optical methods use special dyes to stain platelets and detect the intensity of forward scatter (FS) and fluorescence (FL) as the platelets pass through the detector. Due to the differences in forward scatter and fluorescence signals between platelets and small red blood cells / debris, they can be distinguished.

[0208] In the Figure 4 and Figure 5 After the sample is re-examined using optical methods, the following results can be obtained. Figure 6 The scatter plot shown. Figure 6 As shown, platelets separate from red blood cells on forward scattered light and fluorescence, based on Figure 6 The scatter plot shows that the PLT-O count (i.e., the second platelet count) is 23, which is the same as the true value.

[0209] As one implementation, the first blood cell analysis device 110 can be configured to acquire a platelet histogram of the blood sample to be tested and obtain a platelet count value based on the platelet histogram. Correspondingly, the control device 140 can also be configured to:

[0210] The platelet histogram of the blood sample to be tested is obtained from the first blood cell analysis device 111;

[0211] Obtain the position of the first boundary line in the platelet histogram used to distinguish between the red blood cell volume distribution area and the platelet volume distribution area;

[0212] Obtain the peak position of the platelet volume distribution region in the platelet histogram;

[0213] Calculate the ratio of the number of particles at the first dividing line position in the platelet histogram to the number of particles at the peak position.

[0214] Determine whether the platelet histogram is abnormal based on the ratio.

[0215] Figure 7 A platelet histogram acquired by the control device 140 is shown, where the horizontal axis represents platelet volume and the vertical axis represents platelet count.

[0216] like Figure 7 As shown, the first boundary line in the platelet histogram used to distinguish between the red blood cell volume distribution area and the platelet volume distribution area is located at L1, and the peak position of the platelet volume distribution area in the platelet histogram is located at L2. The platelet count corresponding to the first boundary line position L1 is H1, and the platelet count corresponding to the peak position L2 is H2.

[0217] In a specific example, if the ratio H1 / H2 > M, where M is a preset threshold, which can be a fixed constant, then it can be determined that there is an abnormality in the platelet histogram; if the ratio H1 / H2 ≤ M, then it can be determined that the platelet histogram is normal.

[0218] In some alternative or additional embodiments, the second blood cell analysis device 112 may also be configured to detect leukocytes (i.e., DIFF channels) in the blood sample to be tested using an optical method to obtain leukocyte optical information. Accordingly, the control device 140 may also be configured to acquire leukocyte optical information of the blood sample to be tested from the second blood cell analysis device 112 and determine whether platelet aggregation is present based on the leukocyte optical information.

[0219] This disclosure also provides corresponding sample analyzer methods, including:

[0220] The first blood cell analysis device 111 performs impedance detection on the blood sample to be tested to obtain the first platelet count value of the blood sample to be tested;

[0221] Determine whether the first platelet count value is subject to abnormal interference and determine whether the first platelet count value is within a first preset range, wherein the abnormality includes at least one of platelet histogram abnormality, red blood cell histogram abnormality, and platelet aggregation;

[0222] If it is determined that the first platelet count value is abnormally interfered with, the second blood cell analysis device 112 performs an optical re-examination on the blood sample to be tested to obtain the second platelet count value of the blood sample to be tested.

[0223] If it is determined that the first platelet count value is not abnormally disturbed and is within the first preset range, then output the first platelet count value; and

[0224] If it is determined that the first platelet count value is not abnormally interfered with and is outside the first preset range, the smear preparation device 120 prepares a first blood smear from the blood sample to be tested, and the cell image analysis device 130 performs cell image analysis on the first blood smear to be tested to obtain the first platelet detection result of the blood sample to be tested; or, if it is determined that the first platelet count value is not abnormally interfered with and is outside the first preset range, the first platelet count value is compared with the historical first platelet count value of the subject corresponding to the blood sample to be tested.

[0225] Here, we can first determine whether the first platelet count is abnormally interfered with, and then determine whether the first platelet count is within the first preset range. Alternatively, we can first determine whether the first platelet count is within the first preset range, and then determine whether the first platelet count is abnormally interfered with. Or we can simultaneously determine whether the first platelet count is within the first preset range and whether the first platelet count is abnormally interfered with.

[0226] For example, we can first determine whether the first platelet count is abnormally affected, and then, after determining that the first platelet count is not abnormally affected, we can determine whether the first platelet count is within the first preset range.

[0227] As some implementation methods, such Figure 8 As shown, the sample analysis method 800 may include:

[0228] Step S802: The first blood cell analysis device performs impedance detection on the blood sample to be tested to obtain the first platelet count value of the blood sample to be tested.

[0229] Step S804: Determine whether the first platelet count value is subject to abnormal interference. Abnormalities include at least one of platelet histogram abnormality, red blood cell histogram abnormality, and platelet aggregation.

[0230] Step S806: If it is determined in step S804 that the first platelet count value is abnormally interfered with, the second blood cell analysis device performs an optical re-examination on the blood sample to be tested to obtain the second platelet count value of the blood sample to be tested.

[0231] Step S808: If it is determined in step S804 that the first platelet count value is not abnormally disturbed, then determine whether the first platelet count value is within the first preset range.

[0232] Step S810: If it is determined in step S808 that the first platelet count value is within the first preset range, then the first platelet count value is output.

[0233] In step S812, if it is determined in step S808 that the first platelet count value is outside the first preset range, the smear preparation device is controlled to prepare the first blood smear from the blood sample to be tested, and the cell image analysis device is controlled to perform cell image analysis on the first blood smear to be tested, i.e., image re-examination, so as to obtain the first platelet detection result of the blood sample to be tested.

[0234] Further embodiments and advantages of the sample analysis method 800 proposed in this disclosure can be found in the above description of the sample analysis system 100 according to the first embodiment of this disclosure, and will not be repeated here. In other words, the features and advantages of the sample analysis system 100 according to the first embodiment of this disclosure, and especially its controller 140, can be applied in a corresponding manner to the sample analysis method 800 proposed in this disclosure.

[0235] As for other implementation methods, such as Figure 9 As shown, the sample analysis method 900 may include:

[0236] Step S902: The first blood cell analysis device performs impedance detection on the blood sample to be tested to obtain the first platelet count value of the blood sample to be tested.

[0237] Step S904: Determine whether the first platelet count value is subject to abnormal interference. Abnormalities include at least one of platelet histogram abnormality, red blood cell histogram abnormality, and platelet aggregation.

[0238] Step S906: If it is determined in step S904 that the first platelet count value is abnormally interfered with, the second blood cell analysis device performs an optical re-examination on the blood sample to be tested to obtain the second platelet count value of the blood sample to be tested.

[0239] Step S908: If it is determined in step S904 that the first platelet count value is not abnormally disturbed, then determine whether the first platelet count value is within the first preset range.

[0240] Step S910: If it is determined in step S908 that the first platelet count value is within the first preset range, then the first platelet count value is output.

[0241] In step S912, if it is determined in step S908 that the first platelet count value is outside the first preset range, then the first platelet count value is compared with the historical first platelet count value of the subject corresponding to the blood sample to be tested (i.e., historical comparison method retest).

[0242] Further embodiments and advantages of the sample analysis method 900 proposed in this disclosure can be found in the above description of the sample analysis system 100 according to the second embodiment of this disclosure, and will not be repeated here. In other words, the features and advantages of the sample analysis system 100 according to the second embodiment of this disclosure, and especially its controller 140, can be applied in a corresponding manner to the sample analysis method 900 proposed in this disclosure.

[0243] All features or combinations of features mentioned above in the specification, drawings, and claims may be used in any combination or individually, provided they are meaningful within the scope of this disclosure and do not contradict each other. The advantages and features described in the sample analysis system provided with reference to the embodiments of this disclosure are applicable in a corresponding manner to the sample analysis method provided with the embodiments of this disclosure, and vice versa.

[0244] The above description is merely a preferred embodiment of this disclosure and does not limit the patent scope of this disclosure. Any equivalent modifications made based on the inventive concept of this disclosure and the contents of this specification and drawings, or direct / indirect applications in other related technical fields, are included within the patent protection scope of this disclosure.

Claims

1. A sample analysis system, comprising: The first blood cell analysis device is configured to detect platelets in a blood sample based on impedance method to obtain a platelet count value; The second blood cell analysis device is configured to detect platelets in a blood sample using an optical method to obtain a platelet count value. A smear preparation apparatus configured for preparing blood smears from blood samples; A cell image analysis device is configured to acquire images of cells in a blood smear and analyze the images to obtain platelet detection results; The control device is configured to: The first blood cell analysis device is controlled to perform impedance detection on the blood sample to be tested in order to obtain the first platelet count value of the blood sample to be tested. Determine whether the first platelet count value is subject to abnormal interference, wherein the abnormality includes at least one of platelet histogram abnormality, red blood cell histogram abnormality, and platelet aggregation; If so, the second blood cell analysis device is controlled to perform an optical re-examination of the blood sample to be tested, so as to obtain the second platelet count value of the blood sample to be tested; If not, determine whether the first platelet count value is within the first preset range; If so, output the first platelet count value; If not, the smear preparation device is controlled to prepare a first blood smear from the blood sample to be tested, and the cell image analysis device is controlled to perform cell image analysis on the first blood smear to be tested, so as to obtain the first platelet detection result of the blood sample to be tested.

2. A sample analysis system, comprising: The first blood cell analysis device is configured to detect platelets in a blood sample based on impedance method to obtain a platelet count value; The second blood cell analysis device is configured to detect platelets in a blood sample using an optical method to obtain a platelet count value. A smear preparation apparatus configured for preparing blood smears from blood samples; A cell image analysis device is configured to acquire images of cells in a blood smear and analyze the images to obtain platelet detection results; The control device is configured to: The first blood cell analysis device is controlled to perform impedance detection on the blood sample to be tested in order to obtain the first platelet count value of the blood sample to be tested. Determine whether the first platelet count value is subject to abnormal interference and determine whether the first platelet count value is within a first preset range, wherein the abnormality includes at least one of platelet histogram abnormality, red blood cell histogram abnormality, and platelet aggregation; If it is determined that the first platelet count value is affected by the abnormal interference, the second blood cell analysis device is controlled to perform an optical re-examination of the blood sample to be tested in order to obtain the second platelet count value of the blood sample to be tested. If it is determined that the first platelet count value is not affected by the abnormal interference and is within the first preset range, then the first platelet count value is output; and If it is determined that the first platelet count value is not affected by the abnormal interference and is outside the first preset range, then the smear preparation device is controlled to prepare a first blood smear from the blood sample to be tested, and the cell image analysis device is controlled to perform cell image analysis on the first blood smear to be tested, so as to obtain the first platelet detection result of the blood sample to be tested.

3. The sample analysis system according to claim 1 or 2, wherein, The control device is also configured to: Determine whether the second platelet count value is within a second preset range; If so, output the second platelet count value; If not, the smear preparation device is controlled to prepare a second blood smear from the blood sample to be tested, and the cell image analysis device is controlled to perform cell image analysis on the second blood smear to obtain the second platelet detection result of the blood sample to be tested.

4. The sample analysis system according to claim 1 or 2, wherein, The control device is also configured to: Based on the first platelet detection result, determine whether there is any abnormality in the blood sample to be tested that interferes with the first platelet count value; If not, output the first platelet count value; If so, an alarm message will be output.

5. The sample analysis system according to claim 3, wherein, The control device is also configured to: Based on the second platelet detection result, determine whether there is any abnormality in the blood sample to be tested that interferes with the second platelet count value; If not, output the second platelet count value; If so, an alarm message will be output.

6. The sample analysis system according to claim 4, wherein, The control device is also configured to: If, based on the first platelet detection result, it is determined that the number of platelet clusters in the blood sample to be tested is greater than a first preset threshold, or the deviation between the estimated platelet count value in the blood sample to be tested and the first platelet count value is greater than a second preset threshold, then it is determined that there is an anomaly in the blood sample to be tested that interferes with the first platelet count value; otherwise, there is no such anomaly.

7. The sample analysis system according to claim 5, wherein, The control device is also configured to: If, based on the second platelet detection result, it is determined that the number of platelet clusters in the blood sample to be tested is greater than a first preset threshold, or the deviation between the estimated platelet count value and the second platelet count value in the blood sample to be tested is greater than a second preset threshold, then it is determined that there is an anomaly in the blood sample to be tested that interferes with the second platelet count value; otherwise, there is no such anomaly.

8. A sample analysis system, comprising: The first blood cell analysis device is configured to detect platelets in a blood sample based on impedance method to obtain a platelet count value; The second blood cell analysis device is configured to detect platelets in a blood sample using an optical method to obtain a platelet count value. as well as The control device is configured to: The first blood cell analysis device is controlled to perform impedance detection on the blood sample to be tested in order to obtain the first platelet count value of the blood sample to be tested. Determine whether the first platelet count value is subject to abnormal interference, wherein the abnormality includes at least one of platelet histogram abnormality, red blood cell histogram abnormality, and platelet aggregation; If so, the second blood cell analysis device is controlled to perform an optical re-examination of the blood sample to be tested in order to obtain the second platelet count value of the blood sample to be tested; If not, determine whether the first platelet count value is within the first preset range; If so, output the first platelet count value; If not, the first platelet count is compared with the first platelet count of the subject corresponding to the blood sample to be tested in the past.

9. A sample analysis system, comprising: The first blood cell analysis device is configured to detect platelets in a blood sample based on impedance method to obtain a platelet count value; The second blood cell analysis device is configured to detect platelets in a blood sample using an optical method to obtain a platelet count value. The control device is configured to: The first blood cell analysis device is controlled to perform impedance detection on the blood sample to be tested in order to obtain the first platelet count value of the blood sample to be tested. Determine whether the first platelet count value is subject to abnormal interference and determine whether the first platelet count value is within a first preset range, wherein the abnormality includes at least one of platelet histogram abnormality, red blood cell histogram abnormality, and platelet aggregation; If it is determined that the first platelet count value is abnormally interfered with, the second blood cell analysis device is controlled to perform an optical re-examination of the blood sample to be tested in order to obtain the second platelet count value of the blood sample to be tested. If it is determined that the first platelet count value is not affected by the abnormal interference and is within the first preset range, then the first platelet count value is output; and If it is determined that the first platelet count value is not affected by the abnormal interference and is outside the first preset range, then the first platelet count value is compared with the historical first platelet count value of the subject corresponding to the blood sample to be tested.

10. The sample analysis system according to claim 8 or 9, further comprising: A smear preparation apparatus configured for preparing blood smears from blood samples; as well as A cell image analysis device is configured to acquire images of cells in a blood smear and analyze the images to obtain platelet detection results; The control device is further configured to: If the deviation between the first platelet count value and the historical first platelet count value is not greater than the first threshold, then the first platelet count value is output. If the deviation between the first platelet count value and the historical first platelet count value is greater than the first threshold, then the smear preparation device is controlled to prepare a first blood smear from the blood sample to be tested, and the cell image analysis device is controlled to perform cell image analysis on the first blood smear to be tested, so as to obtain the first platelet detection result of the blood sample to be tested.

11. The sample analysis system according to claim 10, wherein, The control device is also configured to: Based on the first platelet detection result, determine whether there is any abnormality in the blood sample to be tested that interferes with the first platelet count value; If not, output the first platelet count value; If so, an alarm message will be output.

12. The sample analysis system according to claim 8 or 9, wherein, The control device is also configured to: Determine whether the second platelet count value is within a second preset range; If so, output the second platelet count value; If not, the second platelet count is compared with the second platelet count in the subject's history corresponding to the blood sample to be tested.

13. The sample analysis system according to claim 12, further comprising: A smear preparation apparatus configured for preparing blood smears from blood samples; A cell image analysis device is configured to acquire images of cells in a blood smear and analyze the images to obtain platelet detection results; The control device is further configured to: If the deviation between the second platelet count value and the historical second platelet count value is not greater than the second threshold, then the second platelet count value is output. as well as If the deviation between the second platelet count value and the historical second platelet count value is greater than the second threshold, then the smear preparation device is controlled to prepare a second blood smear from the blood sample to be tested, and the cell image analysis device is controlled to perform cell image analysis on the second blood smear to obtain the second platelet detection result of the blood sample to be tested.

14. The sample analysis system according to claim 13, wherein, The control device is also configured to: Based on the second platelet detection result, determine whether there is any abnormality in the blood sample to be tested that interferes with the second platelet count value; If not, output the second platelet count value; If so, an alarm message will be output.

15. The sample analysis system according to claim 11, wherein, The control device is also configured to: If, based on the first platelet detection result, it is determined that the number of platelet clusters in the blood sample to be tested is greater than a first preset threshold, or the deviation between the estimated platelet count value in the blood sample to be tested and the first platelet count value is greater than a second preset threshold, then it is determined that there is an anomaly in the blood sample to be tested that interferes with the first platelet count value; otherwise, there is no such anomaly.

16. The sample analysis system according to claim 14, wherein, The control device is also configured to: If, based on the second platelet detection result, it is determined that the number of platelet clusters in the blood sample to be tested is greater than a first preset threshold, or the deviation between the estimated platelet count value and the second platelet count value in the blood sample to be tested is greater than a second preset threshold, then it is determined that there is an anomaly in the blood sample to be tested that interferes with the second platelet count value; otherwise, there is no such anomaly.

17. A sample analysis method, comprising: The first blood cell analysis device performs impedance detection on the blood sample to be tested to obtain the first platelet count value of the blood sample to be tested; Determine whether the first platelet count value is subject to abnormal interference and determine whether the first platelet count value is within a first preset range, wherein the abnormality includes at least one of platelet histogram abnormality, red blood cell histogram abnormality, and platelet aggregation; If it is determined that the first platelet count value is affected by the abnormal interference, the second blood cell analysis device performs an optical re-examination on the blood sample to be tested to obtain the second platelet count value of the blood sample to be tested. If it is determined that the first platelet count value is not affected by the abnormal interference and is within the first preset range, then the first platelet count value is output; and If it is determined that the first platelet count value is not affected by the abnormal interference and is outside the first preset range, then the smear preparation device prepares a first blood smear from the blood sample to be tested, and the cell image analysis device performs cell image analysis on the first blood smear to be tested to obtain the first platelet detection result of the blood sample to be tested; or, if it is determined that the first platelet count value is not affected by the abnormal interference and is outside the first preset range, then the first platelet count value is compared with the historical first platelet count value of the subject corresponding to the blood sample to be tested.

18. The sample analysis method according to claim 17, wherein, First, determine whether the first platelet count value is affected by the abnormal interference. Then, after determining that the first platelet count value is not affected by the abnormal interference, determine whether the first platelet count value is within the first preset range.

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