Urine analyzer, flow cell leveling method, apparatus, device, and medium

Abstract

The application relates to the field of urine analysis, and discloses a urine analyzer, a flow cell leveling method, a device, equipment and a medium, which comprise a sample module used for providing a standard sample or a urine sample; a sample suction module used for sucking the standard sample or the urine sample from the sample module and providing the standard sample or the urine sample to a detection module; the detection module comprises a flow cell and is used for detecting data parameters of the flow cell when the standard sample flows through the flow cell, detecting data parameters of the urine sample when the urine sample flows through the flow cell, obtaining at least one laminar flow image captured through a shooting window of the flow cell after focusing of a shooting module, obtaining a leveling detection result of the flow cell based on the at least one laminar flow image, and determining a leveling mode of the flow cell based on the leveling detection result in the case that the leveling detection result indicates that the flow cell does not meet the use requirement; and a display module used for displaying the leveling detection result and the leveling mode. In this way, the artificial leveling of the flow cell is provided with reference, so that the artificial flow cell leveling is rapidly assisted.

Description

Technical Field

[0001] This application relates to the field of urine analysis, and more particularly to a urine analyzer, a flow cell leveling method, apparatus, equipment, and medium. Background Technology

[0002] Urine analyzers are commonly used in vitro diagnostic devices in clinical laboratory testing. A urine analyzer contains a flow cell; as a urine sample flows through the flow cell, it is analyzed by a camera or other imaging module.

[0003] With increasing demands for detection, high-magnification cameras are required for analysis. However, high-magnification cameras have a small depth of field, requiring a high degree of alignment between the laminar plane in the flow cell and the camera's focal plane. Poor alignment between the flow cell and the camera's focal plane leads to the following problems: 1. The focusing algorithm struggles to find an accurate focal point; 2. After focusing, clear, blurry, and overexposed cells will appear simultaneously in the field of view, whereas ideally, clear cell images should be captured from all positions, making it difficult to achieve the desired result in practice. Therefore, flow cell leveling is crucial. Currently, flow cell leveling relies mainly on manual experience, which is inefficient and ineffective, making rapid leveling entirely dependent on manual experience. Summary of the Invention

[0004] The purpose of this application is to provide at least one urine analyzer, flow cell leveling method, device, equipment and medium, which can at least solve the problem that the flow cell in the urine analyzer is difficult to level quickly by relying entirely on human experience, and can at least achieve the effect of assisting humans in quickly leveling the flow cell.

[0005] In a first aspect, this application provides a urine analyzer, comprising a sample module, a sample aspiration module, a detection module, and a display module, wherein:

[0006] The sample module is used to provide standard samples or urine samples;

[0007] The sampling module is used to draw the standard sample or the urine sample from the sample module and provide it to the detection module;

[0008] The detection module includes a flow cell, used to detect data parameters of the flow cell when the urine sample flows through the flow cell; detect data parameters of the urine sample when the standard sample flows through the flow cell; acquire at least one laminar flow image captured by the imaging module through the imaging window of the flow cell after focusing; obtain a leveling detection result of the flow cell based on the at least one laminar flow image; and determine the leveling method of the flow cell based on the leveling detection result if the leveling detection result indicates that the flow cell does not meet the usage requirements.

[0009] The display module is used to display the leveling detection results and the leveling method.

[0010] Optionally, the field of view of the imaging module is divided into multiple grids; the standard sample contains target particles; the detection module is specifically used for:

[0011] Based on the at least one laminar flow image, the position of the target particle and the focusing feature value of the target particle are obtained, and the focusing feature value is used to characterize the focusing status of the imaging module;

[0012] Based on the focusing feature values ​​of the target particles in each grid, a fitting plane for the laminar flow in the flow cell is generated, and the leveling status of the flow cell is detected based on the fitting plane to obtain the leveling detection result.

[0013] Optionally, the detection module is specifically used for:

[0014] In the XYZ Cartesian coordinate system, a fitting plane for the laminar flow in the flow pool is generated based on the focusing feature values ​​of the target particles within each grid. In the XYZ Cartesian coordinate system, the Z-axis represents the focusing feature value, the XY-axis plane represents the position of each grid, and the XY-axis plane is parallel to the target plane of the imaging module. The target plane is either the focal plane or the image sensor plane.

[0015] The deflection angle of the fitted plane relative to the target plane is calculated to obtain the leveling detection result.

[0016] Optionally, the laminar flow images are multiple, and the detection module is specifically used for:

[0017] For each grid, the focus feature value of a single laminar flow image at the grid is calculated based on the average of the focus feature values ​​of all target particles at the grid. The final focus feature value at the grid is calculated based on the average of the focus feature values ​​of all laminar flow images at the grid.

[0018] The fitting plane is generated based on the final focused feature values ​​at each of the grid points.

[0019] Optionally, the laminar flow image is a single image, and the detection module is specifically used for:

[0020] For each of the grids, the focusing feature value at the grid is calculated based on the average of the focusing feature values ​​of all the target particles at the grid in the laminar flow image;

[0021] The fitting plane is generated based on the focusing feature values ​​at each of the grid points.

[0022] Optionally, the detection module is specifically used for:

[0023] Based on the normal vector of the fitted plane and the normal vector of the target plane, the deflection angle is calculated. The deflection angle includes the pitch angle and the roll angle. The pitch angle is the angle by which the fitted plane deflects around the X-axis, and the roll angle is the angle by which the fitted plane deflects around the Y-axis.

[0024] The detection module is also used to determine that the flow pool does not meet the usage requirements if either the absolute value of the pitch angle or the absolute value of the roll angle is greater than a preset value.

[0025] Optionally, the detection module is specifically used for:

[0026] When the absolute values ​​of the pitch angle and the roll angle are both greater than the preset value, compare the magnitudes of the absolute values ​​of the pitch angle and the roll angle; if the absolute value of the pitch angle is greater than the absolute value of the roll angle, generate the leveling method based on the pitch angle; if the absolute value of the roll angle is greater than the absolute value of the pitch angle, generate the leveling method based on the roll angle.

[0027] When the absolute value of the pitch angle is less than or equal to the preset value, and the absolute value of the roll angle is greater than the preset value, the leveling method is generated based on the roll angle;

[0028] When the absolute value of the roll angle is less than or equal to the preset value, and the absolute value of the pitch angle is greater than the preset value, the leveling method is generated based on the pitch angle.

[0029] Optionally, the bottom of the flow cell includes a first screw, a second screw, a third screw, and a fourth screw arranged sequentially at the four corners along the perimeter of the rectangle; the first screw, the second screw, and the third screw are adjustable screws; the fourth screw is a fixed screw.

[0030] The leveling method includes screw adjustment;

[0031] The display module is specifically used for:

[0032] The fitted plane, the pitch angle, and the roll angle are shown.

[0033] The positions of the first screw, the second screw, the third screw, and the fourth screw relative to the fitting plane are shown, as well as the screw adjustment method is shown;

[0034] Wherein, the side formed by the first screw and the second screw, as well as the side formed by the third screw and the fourth screw, are all parallel to the X-axis; the side formed by the first screw and the fourth screw, as well as the side formed by the second screw and the third screw, are all parallel to the Y-axis;

[0035] When the leveling method is generated based on the pitch angle, the screw adjustment method includes: lowering or raising the first screw and the second screw;

[0036] When the leveling method is generated based on the roll angle, the screw adjustment method includes: lowering or raising the second screw and the third screw.

[0037] Optionally, the focusing feature value is either a sharpness value or a brightness value.

[0038] Optionally, the target particle is a red blood cell particle.

[0039] Secondly, this application provides a flow cell leveling method, including:

[0040] As the standard sample flows through the flow cell of the urine analyzer, at least one laminar flow image is captured by the imaging module through the imaging window of the flow cell after focusing.

[0041] The leveling detection result of the flow cell is obtained based on the at least one laminar flow image;

[0042] If the leveling test result indicates that the flow cell does not meet the usage requirements, the leveling method of the flow cell is determined based on the leveling test result.

[0043] The leveling detection results and the leveling method are displayed through the display module.

[0044] Optionally, the field of view of the imaging module is divided into multiple grids; the standard sample contains target particles; obtaining the leveling detection result of the flow cell based on the at least one laminar flow image includes:

[0045] Based on the at least one laminar flow image, the position of the target particle and the focusing feature value of the target particle are obtained, and the focusing feature value is used to characterize the focusing status of the imaging module;

[0046] Based on the focusing feature values ​​of the target particles in each grid, a fitting plane for the laminar flow in the flow cell is generated, and the leveling status of the flow cell is detected based on the fitting plane to obtain the leveling detection result.

[0047] Thirdly, this application provides a flow cell leveling device, comprising:

[0048] The image acquisition module is used to acquire at least one laminar flow image captured by the imaging module through the imaging window of the flow cell when the standard sample flows through the flow cell of the urine analyzer.

[0049] The leveling result detection module is used to obtain the leveling detection result of the flow cell based on the at least one laminar flow image;

[0050] The leveling method determination module is used to determine the leveling method of the flow cell based on the leveling test result when the leveling test result indicates that the flow cell does not meet the usage requirements.

[0051] The leveling display module is used to display the leveling detection results and the leveling method through the display module.

[0052] Fourthly, this application provides an electronic device, comprising:

[0053] At least one processor; and,

[0054] A memory communicatively connected to the at least one processor; wherein,

[0055] The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the flow cell leveling method as described above.

[0056] Fifthly, this application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements any of the flow cell leveling methods described above.

[0057] The advantages of this application compared to the prior art are:

[0058] In the urine analyzer of this application, the detection module can acquire at least one laminar flow image captured by the imaging window of the flow cell after the imaging module focuses. Based on the at least one laminar flow image, the leveling test result of the flow cell is obtained. If the leveling test result indicates that the flow cell does not meet the usage requirements, the leveling method of the flow cell is determined based on the leveling test result and the leveling test result and leveling method are displayed by the display module, providing a reference for manual leveling of the flow cell, thereby assisting manual quick leveling of the flow cell.

[0059] It is understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0060] One or more embodiments are illustrated by way of example with reference to the accompanying drawings, and these illustrative descriptions do not constitute a limitation on the embodiments.

[0061] Figure 1 This is a schematic diagram of the structure of a urine analyzer provided in one embodiment of this application;

[0062] Figure 2 This is a schematic diagram of a flow cell provided in one embodiment of this application. Figure 1 ;

[0063] Figure 3 This is a schematic diagram of a flow cell provided in one embodiment of this application. Figure 2 ;

[0064] Figure 4 This is a schematic diagram of the fitting plane provided in another embodiment of this application. Figure 1 ;

[0065] Figure 5 This is a schematic diagram of the fitting plane provided in another embodiment of this application. Figure 2 ;

[0066] Figure 6 This is a schematic diagram of the flow cell leveling process in a urine analyzer provided in another embodiment of this application;

[0067] Figure 7 This is a schematic flowchart of a flow cell leveling method provided in another embodiment of this application;

[0068] Figure 8 This is a schematic diagram of a flow cell leveling device provided in another embodiment of this application;

[0069] Figure 9 This is a schematic diagram of the structure of an electronic device provided in another embodiment of this application. Detailed Implementation

[0070] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the various embodiments of this application will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will understand that many technical details have been provided in the various embodiments of this application to help readers better understand this application. However, the technical solutions claimed in this application can be implemented even without these technical details and various changes and modifications based on the following embodiments. The division of the various embodiments below is for the convenience of description and should not constitute any limitation on the specific implementation of this application. The various embodiments can be combined with and referenced by each other without contradiction.

[0071] This embodiment provides a urine analyzer, such as Figure 1 As shown, it includes a sample module 110, a sample aspiration module 120, a detection module 130, and a display module 140, wherein:

[0072] Sample module 110 is used to provide standard samples or urine samples;

[0073] The sampling module 120 is used to draw standard samples or urine samples from the sample module and provide them to the detection module;

[0074] The detection module 130 includes a flow cell, used to detect the data parameters of the flow cell when a urine sample flows through the flow cell; detect the data parameters of the urine sample when a standard sample flows through the flow cell; acquire at least one laminar flow image captured by the imaging window of the flow cell after the imaging module focuses; obtain the leveling detection result of the flow cell based on the at least one laminar flow image; and determine the leveling method of the flow cell based on the leveling detection result if the leveling detection result indicates that the flow cell does not meet the usage requirements.

[0075] Display module 140 is used to display the leveling test results and the leveling method.

[0076] When performing urine analysis, the urine analyzer can provide a urine sample through the sample module, and then draw the urine sample from the sample module through the aspiration module and provide it to the detection module. As the urine sample flows through the flow cell of the detection module, the data parameters of the flow cell are detected to obtain the urine analysis results.

[0077] Before analyzing urine samples, the flow cell can be tested and leveled using standard samples. For example, such as... Figure 2 As shown, the bottom of the flow cell 131 has multiple screws 1311. The flow cell can be leveled by adjusting the height of the screws.

[0078] The flow cell is equipped with flow channels. See also Figure 2 and Figure 3 The inlet of the flow channel 1315 includes a sheath fluid inlet 1312 and a sample inlet 1313. The sheath fluid inlet 1312 is used to introduce sheath fluid into the flow channel 1315, and the sample inlet 1313 is used to introduce a urine sample or a standard sample into the flow channel 1315. The sheath fluid encapsulates the urine sample or standard sample as it enters the flow channel and then flows out from the flow channel outlet 1316.

[0079] An imaging window 1314 is provided on the flow channel 1315. The urine analyzer also includes an imaging module. In practice, the imaging module can first focus using a focusing algorithm to ensure that cells can be captured, and then take pictures of the flow cell through the imaging window.

[0080] For example, the shooting module may include a camera.

[0081] The focusing algorithm can refer to relevant technologies. For example, a focusing algorithm may include: a focusing motor pushes the camera to slide on a slide rail and continuously takes pictures as it slides, finds all the cells in the pictures, calculates the sharpness value based on the cell images, and averages the sharpness values ​​of all the cells in an image to obtain a sharpness value representing the position (the position of the camera on the slide rail). Finally, the position with the highest sharpness value is taken as the focus position.

[0082] During the manual leveling of the flow cell, to quickly level it, the imaging module captures a laminar flow image of the flow cell after focusing. Laminar flow refers to the state of liquid flow in the flow cell, and the laminar flow image reflects the leveling result. The urine analyzer is equipped with a detection module and a display module. The detection module can obtain the leveling detection result of the flow cell based on at least one laminar flow image. Based on this leveling detection result, it is determined whether the flow cell meets the usage requirements. If the leveling detection result indicates that the flow cell does not meet the usage requirements, the leveling method is determined based on the leveling detection result, and the leveling detection result and leveling method are displayed on the display module. This leveling detection result and leveling method can assist the assembly personnel in leveling the flow cell. After the flow cell is leveled, the imaging module refocuses using a focusing algorithm to obtain a more accurate focal position, further avoiding the capture of a large number of blurry and overexposed cell images. When the leveling detection result of the flow cell indicates that the flow cell meets the usage requirements, the leveling of the flow cell is complete.

[0083] In this embodiment, the urine analyzer can acquire at least one laminar flow image captured by the imaging window of the flow cell after the imaging module focuses the image. Based on the at least one laminar flow image, the leveling test result of the flow cell is obtained. If the leveling test result indicates that the flow cell does not meet the usage requirements, the leveling method of the flow cell is determined based on the leveling test result and the leveling test result and leveling method are displayed by the display module, providing a reference for manual leveling of the flow cell, thereby assisting manual leveling of the flow cell quickly.

[0084] In addition, the process of leveling the flow cell can be simplified by utilizing the existing structure of the urine analyzer for urine sample testing.

[0085] In some embodiments, the field of view of the imaging module is divided into multiple grids; the standard sample contains target particles; the detection module is specifically used for:

[0086] Based on at least one laminar flow image, the position of the target particle and the focusing feature value of the target particle are obtained. The focusing feature value is used to characterize the focusing status of the imaging module.

[0087] Based on the focusing feature values ​​of target particles in each grid, a fitting plane for laminar flow in the flow cell is generated, and the leveling status of the flow cell is detected based on the fitting plane to obtain the leveling detection results.

[0088] If the flow cell is not leveled, the laminar plane within the flow cell will not be parallel to the focal plane or the image sensor plane. The imaging module will struggle to find an accurate focal point using the focusing algorithm, resulting in variations in focus and exposure across different areas of the laminar flow image. This will lead to areas that are clean, blurry, or overexposed. Target particles can reflect the focus status at their location. For example, focus characteristics can be represented by sharpness or brightness values. Both sharpness and brightness values ​​effectively reflect the focus status. The calculation method for sharpness can refer to relevant technologies. For instance, a method consistent with the sharpness calculation method used in one of the aforementioned focusing algorithms can be employed. However, unlike the focusing algorithm, when calculating sharpness, the focusing motor does not move the camera but instead takes fixed shots at the focal point, obtaining multiple laminar flow images and thus acquiring the sharpness value of each target particle in these images.

[0089] For each laminar flow image, the position and focusing feature value of each target particle in the image can be statistically analyzed. Furthermore, the field of view of the imaging module, i.e., the camera's field of view, is divided into multiple grids. Then, based on the focusing feature values ​​of the target particles within each grid, a plane fitting algorithm is used to fit a fitted plane of the laminar flow within the flow cell, which is then displayed through a display module. The fluctuations in the focusing feature values ​​within each grid reflect the spatial attitude of the flow cell. Therefore, the leveling status of the flow cell can be detected based on the fitted plane, and the leveling detection result can be obtained and displayed.

[0090] In this embodiment, by dividing the field of view of the imaging module into multiple grids and capturing at least one laminar flow image of the flow cell through the imaging module, the position of the target particle in the standard sample and the focusing feature value of the target particle are obtained. Then, based on the focusing feature value of the target particle in each grid, a fitting plane of laminar flow in the flow cell is generated. The spatial attitude of the flow cell can be accurately detected through the fitting plane, thereby obtaining accurate leveling detection results.

[0091] In some embodiments, the detection module is specifically used for:

[0092] In the XYZ Cartesian coordinate system, a fitting plane for the laminar flow in the flow pool is generated based on the focusing feature values ​​of the target particles in each grid. In the XYZ Cartesian coordinate system, the Z-axis represents the focusing feature value, the XY-axis plane represents the position of each grid, and the XY-axis plane is parallel to the target plane of the imaging module. The target plane is either the focal plane or the image sensor plane.

[0093] Calculate the deflection angle of the fitted plane relative to the target plane to obtain the leveling detection result.

[0094] The target plane is the reference plane for leveling the fitted plane.

[0095] For example, the focal plane and the image sensor plane are parallel. The image sensor can be a complementary metal-oxide-semiconductor (CMOS) image sensor for the camera.

[0096] In the XYZ Cartesian coordinate system, based on the focusing characteristic values ​​of target particles within each grid, a plane fitting algorithm is used to fit a fitted plane of the laminar flow in the flow cell. This fitted plane is then displayed through a display module. The values ​​of this fitted plane on the XY axis represent the positions of each grid (reflecting the grid's position in the camera's field of view, and corresponding to the position of the flow cell as captured by the camera). The values ​​on the Z axis represent the focusing characteristic values ​​at the grid points, which are calculated based on the statistical focusing characteristic values ​​of all target particles within the grid. The deflection angle of the fitted plane relative to the target plane is calculated, and this deflection angle is used as the leveling detection result, which is then displayed. For example, if the deflection angle meets a preset condition, the flow cell meets the usage requirements; if the deflection angle does not meet the preset condition, the flow cell does not meet the usage requirements.

[0097] See Figure 4 A fitted plane is shown. Figure 4 The Z-axis is represented by a resolution value, from... Figure 4 It can be seen that the fitting plane is deflected relatively large relative to the XY axis plane, and the flow cell does not meet the usage requirements and still needs to be leveled.

[0098] See Figure 5 A fitted plane is shown. Figure 5 The Z-axis is represented by a resolution value, from... Figure 5 It can be seen that the fitting plane is basically parallel to the XY axis plane. Although the clarity of the position of each grid fluctuates, there is no area with extremely low or high resolution. It can be considered that the requirements are met and no further leveling is needed.

[0099] If the number of grids used to divide the field of view of the imaging module is too small, the fitted plane will not be smooth enough; if the number of grids is too large, the computational load will be high. In practical applications, an appropriate number of grids can be set as needed. For example, the field of view of the imaging module is divided into 64×64 grids.

[0100] In this embodiment, in the XYZ Cartesian coordinate system, a fitting plane of laminar flow in the flow cell is generated based on the focusing feature value of the target particles in each grid. By calculating the deflection angle of the fitting plane relative to the focal plane or the image sensor plane, the spatial attitude of the laminar flow plane relative to the focal plane of the imaging module or the image sensor plane in the current state of the flow cell can be detected, making the leveling detection results more intuitive and accurate.

[0101] For example, the target particles are red blood cell particles. In practice, the red blood cell particle solution can be introduced into the flow channel of the flow cell through the sample inlet. Red blood cell particles are more readily available and less expensive, which helps to reduce leveling costs.

[0102] Of course, the target particle can also be other particles such as white blood cell particles.

[0103] Furthermore, the higher the density of the target particles, the more target particles there are within the grid, resulting in a more accurate fitted plane. Therefore, standard samples with a high target particle concentration can be used. Based on this, the target particle concentration is greater than the preset particle concentration. This ensures that the target particles are distributed as evenly as possible across the field of view of the imaging module, further smoothing the final fitted plane. The preset particle concentration can be set according to actual needs; for example, the preset particle concentration is 10,000 particles per microliter.

[0104] The more laminar flow images there are, the more target particles are present in each grid, which helps improve the accuracy of the fitted plane. Therefore, multiple laminar flow images can be captured. The number of laminar flow images can be set according to actual needs; for example, 2000 laminar flow images.

[0105] In some embodiments, there are multiple laminar flow images, and the detection module is specifically used for:

[0106] For each grid, the focusing feature value of a single laminar flow image at the grid is calculated based on the average of the focusing feature values ​​of all target particles at the grid in a single laminar flow image. The final focusing feature value at the grid is calculated based on the average of the focusing feature values ​​of all laminar flow images at the grid.

[0107] Based on the final focused feature values ​​at each grid point, a fitting plane is generated.

[0108] For example, the field of view of the imaging module is divided into 64×64 grids. Based on this, for a single laminar flow image, for each grid, the average sharpness value of all red blood cell particles at that grid is calculated as the sharpness value of the single laminar flow image at that grid. For instance, if there are 3 red blood cell particles in grid (1,1), the sharpness value c of the single laminar flow image at that grid (1,1) is... （1,1）=The sharpness values ​​of 3 red blood cell particles are added together and then divided by 3. Assuming there are 2000 laminar flow images, for each grid, the average sharpness value of the 2000 laminar flow images at the grid is calculated, that is, each grid has 2000 sharpness values. The sum is then divided by 2000 to obtain the sharpness value at that grid.

[0109] In this embodiment, the number of target particles in each grid can be increased by using multiple laminar flow images. First, the focusing feature value of a single laminar flow image at the grid is calculated based on the average of the focusing feature values ​​of all target particles at the grid in a single laminar flow image. Then, the final focusing feature value at the grid is calculated based on the average of the focusing feature values ​​of all laminar flow images at the grid, thereby obtaining a more accurate focusing feature value at the grid and improving the accuracy of plane fitting.

[0110] In some embodiments, the laminar flow image is a single image, and the detection module is specifically used for:

[0111] For each grid, the focusing feature value at the grid is calculated based on the average of the focusing feature values ​​of all target particles at the grid in the laminar flow image;

[0112] A fitting plane is generated based on the focused feature values ​​at each grid point.

[0113] For example, the field of view of the imaging module is divided into 64×64 grids. Based on this, for each grid, the average sharpness value of all red blood cell particles at that grid is calculated as the sharpness value at that grid. For instance, if there are 3 red blood cell particles in grid (1,1), the sharpness value c at grid (1,1) is... （1,1） =The sharpness values ​​of the three red blood cell particles are added together and then divided by 3 to obtain the sharpness value at the grid.

[0114] In this embodiment, the focusing feature values ​​at each grid point are obtained through a single laminar flow image, which requires less computation and can quickly generate the fitting plane.

[0115] In some embodiments, the detection module is specifically used for:

[0116] Based on the normal vector of the fitted plane and the normal vector of the target plane, the deflection angle is calculated. The deflection angle includes the pitch angle and the roll angle. The pitch angle is the angle of deflection of the fitted plane around the X-axis, and the roll angle is the angle of deflection of the fitted plane around the Y-axis.

[0117] The detection module is also used to determine that the flow cell does not meet the usage requirements if either the absolute value of the pitch angle or the absolute value of the roll angle is greater than a preset value.

[0118] For example, the normal vector N of the target plane camera = (0,0,1), the normal vector N of the fitted plane pool= (a, b, c), where a, b, and c are the components of the normal vector of the fitted plane.

[0119] The preset value can be set according to actual needs, for example, the preset value is 0.

[0120] The flow cell's suitability is determined based on the absolute values ​​of the pitch and roll angles. If either the absolute value of the pitch or roll angle is greater than a preset value, the flow cell is deemed unsuitable. Conversely, if both the absolute values ​​of the pitch and roll angles are less than or equal to the preset values, the flow cell is deemed to meet the requirements. The preset condition is that both the absolute values ​​of the pitch and roll angles are less than or equal to the preset values.

[0121] See Figure 4 The fitted plane shown has a relatively large pitch and roll angle, which does not meet the usage requirements, and the flow cell needs to be leveled.

[0122] In practice, a fitted plane can be obtained using fitting plane algorithms such as the least squares method. The equation of the fitted plane contains information about the normal vector.

[0123] In this embodiment, by using the normal vector of the fitting plane and the normal vector of the target plane, the deflection angle of the fitting plane relative to the target plane can be quickly calculated, accurately reflecting the leveling status of the flow cell.

[0124] In some embodiments, the detection module is specifically used for:

[0125] When the absolute values ​​of both pitch and roll are greater than preset values, compare the magnitudes of the absolute values ​​of pitch and roll. If the absolute value of pitch is greater than the absolute value of roll, generate a leveling method based on pitch; if the absolute value of roll is greater than the absolute value of pitch, generate a leveling method based on roll.

[0126] When the absolute value of the pitch angle is less than or equal to the preset value, and the absolute value of the roll angle is greater than the preset value, a leveling method is generated based on the roll angle.

[0127] When the absolute value of the roll angle is less than or equal to the preset value, and the absolute value of the pitch angle is greater than the preset value, a leveling method is generated based on the pitch angle.

[0128] When one of the pitch or roll angles is significantly deflected, a leveling method can be generated for that angle. When both the pitch and roll angles are significantly deflected, the larger angle can be adjusted first, because adjusting the larger angle may improve the other angle as well. If the other angle is not improved, further adjustments can be made to it, thus achieving leveling quickly.

[0129] In some embodiments, the bottom of the flow cell includes a first screw, a second screw, a third screw, and a fourth screw arranged sequentially at the four corners along the perimeter of a rectangle; the first screw, the second screw, and the third screw are adjustable screws; and the fourth screw is a fixed screw.

[0130] Leveling methods include screw adjustment;

[0131] The display module is specifically used for:

[0132] Display the fitted plane, pitch angle, and roll angle;

[0133] Show the positions of the first, second, third, and fourth screws relative to the fitted plane, and demonstrate the screw adjustment methods;

[0134] Wherein, the edge formed by the first screw and the second screw, as well as the edge formed by the third screw and the fourth screw, are all parallel to the X-axis; the edge formed by the first screw and the fourth screw, as well as the edge formed by the second screw and the third screw, are all parallel to the Y-axis;

[0135] In the case of leveling based on pitch angle, the screw adjustment methods include: lowering or raising the first screw and the second screw;

[0136] In the case of a leveling method based on roll angle generation, the screw adjustment methods include: lowering or raising the second and third screws.

[0137] In practice, the display device can show the screw adjustment method through arrow prompts.

[0138] Specifically, the positions of the first, second, third, and fourth screws can be indicated using different symbols, see [link to documentation]. Figure 4 The fitted plane shown is labeled A, B, C, and D to indicate the positions of the first, second, third, and fourth screws.

[0139] The sides formed by the first screw A and the second screw B, as well as the sides formed by the third screw C and the fourth screw D, are all parallel to the X-axis; the sides formed by the first screw A and the fourth screw D, as well as the sides formed by the second screw B and the third screw C, are all parallel to the Y-axis.

[0140] from Figure 4 It can be seen that the sharpness values ​​of the upper right and lower left corners of the flow cell are significantly lower. This is because the flow cell is tilted, causing the red blood cell particles captured in the upper right corner to be overexposed while the red blood cell particles captured in the lower left corner are blurred. At this time, the screw of the flow cell can be adjusted.

[0141] If the preset value is 0, and the pitch angle is greater than 0, the front screws (first screw A and second screw B) need to be lowered, and vice versa. If the roll angle is greater than 0, the left screws (second screw B and third screw C) need to be lowered, and vice versa.

[0142] After adjusting the screws, the imaging module refocuses using the focusing algorithm and re-imports the flow cell to obtain the leveling detection results until the absolute values ​​of the deflection angle and roll angle are less than or equal to the preset values.

[0143] This embodiment can combine the leveling test results to show the specific method of leveling with screws, intuitively demonstrating how to level the flow cell. By following the screw adjustment method, the flow cell can be leveled quickly, further improving the efficiency and effectiveness of assisting manual leveling of the flow cell.

[0144] The flow cell leveling process of the urine analyzer in this embodiment of the present application will be described below using red blood cell particles as an example.

[0145] Step S601: Focusing, the shooting module focuses using a focusing algorithm.

[0146] Step S602: Perform a test using red blood cell particle solution. Multiple laminar flow images are obtained by capturing images of the flow cell using the imaging module.

[0147] Step S603: Calculate the clarity value and position of each red blood cell particle.

[0148] Step S604: Calculate the sharpness value at each grid point. The specific method can be found in the relevant embodiments above, and will not be repeated here.

[0149] Step S605: Fit a laminar flow fitting plane in the flow cell based on the clarity values ​​at each grid point, and calculate the deflection angle of the fitting plane. For details, please refer to the above embodiments.

[0150] Step S606: Determine whether the flow cell meets the usage requirements based on the deflection angle. If yes, proceed to step S607; otherwise, adjust the screws of the flow cell and return to step S601.

[0151] Step S607: Completed.

[0152] This application also relates to a flow cell leveling method, such as... Figure 7 As shown, applied to the aforementioned urine analyzer, the method includes:

[0153] Step S701: When the standard sample flows through the flow cell of the urine analyzer, acquire at least one laminar flow image captured by the imaging module through the imaging window of the flow cell after focusing.

[0154] Step S702: Obtain the leveling detection result of the flow cell based on the at least one laminar flow image.

[0155] Step S703: If the leveling test result indicates that the flow cell does not meet the usage requirements, determine the leveling method of the flow cell based on the leveling test result;

[0156] Step S704: Display the leveling detection results and the leveling method through the display module.

[0157] The flow cell leveling method in this embodiment can be executed by the detection module of the urine analyzer described above. For details, please refer to the embodiment of the urine analyzer described above, which will not be repeated here.

[0158] In some embodiments, the field of view of the imaging module is divided into multiple grids; the standard sample contains target particles; obtaining the leveling detection result of the flow cell based on the at least one laminar flow image includes:

[0159] Based on the at least one laminar flow image, the position of the target particle and the focusing feature value of the target particle are obtained, and the focusing feature value is used to characterize the focusing status of the imaging module;

[0160] Based on the focusing feature values ​​of the target particles in each grid, a fitting plane for the laminar flow in the flow cell is generated, and the leveling status of the flow cell is detected based on the fitting plane to obtain the leveling detection result.

[0161] In some embodiments, generating a fitting plane for the laminar flow within the flow pool based on the focusing feature values ​​of the target particles within each of the grids, and detecting the leveling status of the flow pool based on the fitting plane to obtain the leveling detection result, includes:

[0162] In the XYZ Cartesian coordinate system, a fitting plane for the laminar flow in the flow pool is generated based on the focusing feature values ​​of the target particles within each grid. In the XYZ Cartesian coordinate system, the Z-axis represents the focusing feature value, the XY-axis plane represents the position of each grid, and the XY-axis plane is parallel to the target plane of the imaging module. The target plane is either the focal plane or the image sensor plane.

[0163] The deflection angle of the fitted plane relative to the target plane is calculated to obtain the leveling detection result.

[0164] In some embodiments, the laminar flow images are multiple images, and generating a fitting plane for the laminar flow within the flow pool based on the focusing feature values ​​of the target particles within each grid includes:

[0165] For each grid, the focus feature value of a single laminar flow image at the grid is calculated based on the average of the focus feature values ​​of all target particles at the grid. The final focus feature value at the grid is calculated based on the average of the focus feature values ​​of all laminar flow images at the grid.

[0166] The fitting plane is generated based on the final focused feature values ​​at each of the grid points.

[0167] In some embodiments, the laminar flow image is a single image, and generating a fitting plane for the laminar flow within the flow pool based on the focusing feature values ​​of the target particles within each of the grids includes:

[0168] For each of the grids, the focusing feature value at the grid is calculated based on the average of the focusing feature values ​​of all the target particles at the grid in the laminar flow image;

[0169] The fitting plane is generated based on the focusing feature values ​​at each of the grid points.

[0170] In some embodiments, calculating the deflection angle of the fitted plane relative to the target plane includes:

[0171] Based on the normal vector of the fitted plane and the normal vector of the target plane, the deflection angle is calculated. The deflection angle includes the pitch angle and the roll angle. The pitch angle is the angle by which the fitted plane deflects around the X-axis, and the roll angle is the angle by which the fitted plane deflects around the Y-axis.

[0172] The method further includes: if either the absolute value of the pitch angle or the absolute value of the roll angle is greater than a preset value, it is determined that the flow pool does not meet the usage requirements.

[0173] In some embodiments, determining the leveling method of the flow cell based on the leveling detection result includes:

[0174] When the absolute values ​​of the pitch angle and the roll angle are both greater than the preset value, compare the magnitudes of the absolute values ​​of the pitch angle and the roll angle; if the absolute value of the pitch angle is greater than the absolute value of the roll angle, generate the leveling method based on the pitch angle; if the absolute value of the roll angle is greater than the absolute value of the pitch angle, generate the leveling method based on the roll angle.

[0175] When the absolute value of the pitch angle is less than or equal to the preset value, and the absolute value of the roll angle is greater than the preset value, the leveling method is generated based on the roll angle;

[0176] When the absolute value of the roll angle is less than or equal to the preset value, and the absolute value of the pitch angle is greater than the preset value, the leveling method is generated based on the pitch angle.

[0177] In some embodiments, the bottom of the flow cell includes a first screw, a second screw, a third screw, and a fourth screw arranged sequentially at the four corners along the perimeter of a rectangle; the first screw, the second screw, and the third screw are adjustable screws; the fourth screw is a fixed screw.

[0178] The leveling method includes screw adjustment;

[0179] The step of displaying the leveling detection results and the leveling method through the display module includes:

[0180] The display module shows the fitted plane, the pitch angle, and the roll angle.

[0181] The display module shows the positions of the first screw, the second screw, the third screw, and the fourth screw relative to the fitting plane, as well as the screw adjustment method.

[0182] Wherein, the side formed by the first screw and the second screw, as well as the side formed by the third screw and the fourth screw, are all parallel to the X-axis; the side formed by the first screw and the fourth screw, as well as the side formed by the second screw and the third screw, are all parallel to the Y-axis;

[0183] When the leveling method is generated based on the pitch angle, the screw adjustment method includes: lowering or raising the first screw and the second screw;

[0184] When the leveling method is generated based on the roll angle, the screw adjustment method includes: lowering or raising the second screw and the third screw.

[0185] In some embodiments, the focus feature value is a sharpness value or a brightness value.

[0186] In some embodiments, the target particle is a red blood cell particle.

[0187] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0188] Another embodiment of this application relates to a flow cell leveling device. The flow cell leveling device described below can be referred to in correspondence with the flow cell leveling method described above. The implementation details of the flow cell leveling device of this embodiment are described in detail below. The following implementation details are provided only for ease of understanding and are not necessary for implementing this solution. The schematic diagram of the flow cell leveling device of this embodiment is shown in Figure 8.

[0189] like Figure 8 As shown, this embodiment provides a flow cell leveling device, comprising:

[0190] The image acquisition module 801 is used to acquire at least one laminar flow image captured by the imaging module through the imaging window of the flow cell when the standard sample flows through the flow cell of the urine analyzer.

[0191] The leveling result detection module 802 is used to obtain the leveling detection result of the flow cell based on the at least one laminar flow image.

[0192] The leveling method determination module 803 is used to determine the leveling method of the flow cell based on the leveling test result when the leveling test result indicates that the flow cell does not meet the usage requirements.

[0193] The leveling display module 804 is used to display the leveling detection results and the leveling method through the display module.

[0194] The flow cell leveling device of this embodiment can be applied to the detection module of a urine analyzer.

[0195] In some embodiments, the field of view of the imaging module is divided into multiple grids; the standard sample contains target particles; the leveling result detection module 802 is specifically used for:

[0196] Based on the at least one laminar flow image, the position of the target particle and the focusing feature value of the target particle are obtained, and the focusing feature value is used to characterize the focusing status of the imaging module;

[0197] Based on the focusing feature values ​​of the target particles in each grid, a fitting plane for the laminar flow in the flow cell is generated, and the leveling status of the flow cell is detected based on the fitting plane to obtain the leveling detection result.

[0198] In some embodiments, the leveling result detection module 802 is specifically used for:

[0199] In the XYZ Cartesian coordinate system, a fitting plane for the laminar flow in the flow pool is generated based on the focusing feature values ​​of the target particles within each grid. In the XYZ Cartesian coordinate system, the Z-axis represents the focusing feature value, the XY-axis plane represents the position of each grid, and the XY-axis plane is parallel to the target plane of the imaging module. The target plane is either the focal plane or the image sensor plane.

[0200] The deflection angle of the fitted plane relative to the target plane is calculated to obtain the leveling detection result.

[0201] In some embodiments, the laminar flow images are multiple, and the leveling result detection module 802 is specifically used for:

[0202] For each grid, the focus feature value of a single laminar flow image at the grid is calculated based on the average of the focus feature values ​​of all target particles at the grid. The final focus feature value at the grid is calculated based on the average of the focus feature values ​​of all laminar flow images at the grid.

[0203] The fitting plane is generated based on the final focused feature values ​​at each of the grid points.

[0204] In some embodiments, the laminar flow image is a single image, and the leveling result detection module 802 is specifically used for:

[0205] For each of the grids, the focusing feature value at the grid is calculated based on the average of the focusing feature values ​​of all the target particles at the grid in the laminar flow image;

[0206] The fitting plane is generated based on the focusing feature values ​​at each of the grid points.

[0207] In some embodiments, the leveling result detection module 802 is specifically used for:

[0208] Based on the normal vector of the fitted plane and the normal vector of the target plane, the deflection angle is calculated. The deflection angle includes the pitch angle and the roll angle. The pitch angle is the angle by which the fitted plane deflects around the X-axis, and the roll angle is the angle by which the fitted plane deflects around the Y-axis.

[0209] The device further includes a demand determination module, which is used to determine that the flow pool does not meet the usage requirements if either the absolute value of the pitch angle or the absolute value of the roll angle is greater than a preset value.

[0210] In some embodiments, the leveling method determination module 803 is specifically used for:

[0211] When the absolute values ​​of the pitch angle and the roll angle are both greater than the preset value, compare the magnitudes of the absolute values ​​of the pitch angle and the roll angle; if the absolute value of the pitch angle is greater than the absolute value of the roll angle, generate the leveling method based on the pitch angle; if the absolute value of the roll angle is greater than the absolute value of the pitch angle, generate the leveling method based on the roll angle.

[0212] When the absolute value of the pitch angle is less than or equal to the preset value, and the absolute value of the roll angle is greater than the preset value, the leveling method is generated based on the roll angle;

[0213] When the absolute value of the roll angle is less than or equal to the preset value, and the absolute value of the pitch angle is greater than the preset value, the leveling method is generated based on the pitch angle.

[0214] In some embodiments, the bottom of the flow cell includes a first screw, a second screw, a third screw, and a fourth screw arranged sequentially at the four corners along the perimeter of a rectangle; the first screw, the second screw, and the third screw are adjustable screws; the fourth screw is a fixed screw.

[0215] The leveling method includes screw adjustment;

[0216] The leveling display module 804 is specifically used for:

[0217] The display module shows the fitted plane, the pitch angle, and the roll angle.

[0218] The display module shows the positions of the first screw, the second screw, the third screw, and the fourth screw relative to the fitting plane, as well as the screw adjustment method.

[0219] Wherein, the side formed by the first screw and the second screw, as well as the side formed by the third screw and the fourth screw, are all parallel to the X-axis; the side formed by the first screw and the fourth screw, as well as the side formed by the second screw and the third screw, are all parallel to the Y-axis;

[0220] When the leveling method is generated based on the pitch angle, the screw adjustment method includes: lowering or raising the first screw and the second screw;

[0221] When the leveling method is generated based on the roll angle, the screw adjustment method includes: lowering or raising the second screw and the third screw.

[0222] In some embodiments, the focus feature value is a sharpness value or a brightness value.

[0223] In some embodiments, the target particle is a red blood cell particle.

[0224] It is worth mentioning that all modules involved in this embodiment are logical modules. In practical applications, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. Furthermore, to highlight the innovative aspects of this application, this embodiment does not introduce units that are not closely related to solving the technical problems proposed in this application; however, this does not mean that other units are absent in this embodiment.

[0225] Another embodiment of this application relates to an electronic device, such as... Figure 9 As shown, it includes: at least one processor 901; and a memory 902 communicatively connected to the at least one processor 901; wherein the memory 902 stores instructions executable by the at least one processor 901, the instructions being executed by the at least one processor 901 to enable the at least one processor 901 to perform the flow cell leveling method in the above embodiments.

[0226] The memory and processor are connected via a bus, which can include any number of interconnecting buses and bridges, connecting various circuits of one or more processors and memories. The bus can also connect various other circuits, such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and will not be described further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by the processor is transmitted over the wireless medium via an antenna, which further receives data and transmits it to the processor.

[0227] The processor manages the bus and general processing, and also provides various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory is used to store data used by the processor during operation.

[0228] Another embodiment of this application relates to a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the method embodiments described above.

[0229] That is, those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0230] Those skilled in the art will understand that the above embodiments are specific embodiments for implementing this application, and in practical applications, various changes can be made to them in form and detail without departing from the spirit and scope of this application.

Claims

1. A urine analyzer, characterized in that, It includes a sample module, a sample aspiration module, a detection module, and a display module, among which: The sample module is used to provide standard samples or urine samples; The sampling module is used to draw the standard sample or the urine sample from the sample module and provide it to the detection module; The detection module includes a flow cell, used to detect data parameters of the flow cell when the urine sample flows through the flow cell; detect data parameters of the urine sample when the standard sample flows through the flow cell; acquire at least one laminar flow image captured by the imaging module through the imaging window of the flow cell after focusing; obtain a leveling detection result of the flow cell based on the at least one laminar flow image; and determine the leveling method of the flow cell based on the leveling detection result if the leveling detection result indicates that the flow cell does not meet the usage requirements. The display module is used to display the leveling detection results and the leveling method; the field of view of the imaging module is divided into multiple grids; the standard sample contains target particles; the detection module is specifically used for: Based on the at least one laminar flow image, the position of the target particle and the focusing feature value of the target particle are obtained, and the focusing feature value is used to characterize the focusing status of the imaging module; Based on the focusing feature values ​​of the target particles in each grid, a fitting plane for the laminar flow in the flow cell is generated, and the leveling status of the flow cell is detected based on the fitting plane to obtain the leveling detection result.

2. The urine analyzer according to claim 1, characterized in that, The detection module is specifically used for: In the XYZ Cartesian coordinate system, a fitting plane for the laminar flow in the flow pool is generated based on the focusing feature values ​​of the target particles within each grid. In the XYZ Cartesian coordinate system, the Z-axis represents the focusing feature value, the XY-axis plane represents the position of each grid, and the XY-axis plane is parallel to the target plane of the imaging module. The target plane is either the focal plane or the image sensor plane. The deflection angle of the fitted plane relative to the target plane is calculated to obtain the leveling detection result.

3. The urine analyzer according to claim 1, characterized in that, The laminar flow images are multiple, and the detection module is specifically used for: For each grid, the focus feature value of a single laminar flow image at the grid is calculated based on the average of the focus feature values ​​of all target particles at the grid. The final focus feature value at the grid is calculated based on the average of the focus feature values ​​of all laminar flow images at the grid. The fitting plane is generated based on the final focused feature values ​​at each of the grid points.

4. The urine analyzer according to claim 1, characterized in that, The laminar flow image is a single image, and the detection module is specifically used for: For each of the grids, the focusing feature value at the grid is calculated based on the average of the focusing feature values ​​of all the target particles at the grid in the laminar flow image; The fitting plane is generated based on the focusing feature values ​​at each of the grid points.

5. The urine analyzer according to claim 2, characterized in that, The detection module is specifically used for: Based on the normal vector of the fitted plane and the normal vector of the target plane, the deflection angle is calculated. The deflection angle includes the pitch angle and the roll angle. The pitch angle is the angle by which the fitted plane deflects around the X-axis, and the roll angle is the angle by which the fitted plane deflects around the Y-axis. The detection module is also used to determine that the flow pool does not meet the usage requirements if either the absolute value of the pitch angle or the absolute value of the roll angle is greater than a preset value.

6. The urine analyzer according to claim 5, characterized in that, The detection module is specifically used for: When the absolute values ​​of the pitch angle and the roll angle are both greater than the preset value, compare the magnitudes of the absolute values ​​of the pitch angle and the roll angle; if the absolute value of the pitch angle is greater than the absolute value of the roll angle, generate the leveling method based on the pitch angle; if the absolute value of the roll angle is greater than the absolute value of the pitch angle, generate the leveling method based on the roll angle. When the absolute value of the pitch angle is less than or equal to the preset value, and the absolute value of the roll angle is greater than the preset value, the leveling method is generated based on the roll angle; When the absolute value of the roll angle is less than or equal to the preset value, and the absolute value of the pitch angle is greater than the preset value, the leveling method is generated based on the pitch angle.

7. The urine analyzer according to claim 6, characterized in that, The bottom of the flow cell includes a first screw, a second screw, a third screw, and a fourth screw arranged sequentially at the four corners along the perimeter of a rectangle; the first screw, the second screw, and the third screw are adjustable screws; the fourth screw is a fixed screw. The leveling method includes screw adjustment; The display module is specifically used for: The fitted plane, the pitch angle, and the roll angle are shown. The positions of the first screw, the second screw, the third screw, and the fourth screw relative to the fitting plane are shown, as well as the screw adjustment method is shown; Wherein, the side formed by the first screw and the second screw, as well as the side formed by the third screw and the fourth screw, are all parallel to the X-axis; the side formed by the first screw and the fourth screw, as well as the side formed by the second screw and the third screw, are all parallel to the Y-axis; When the leveling method is generated based on the pitch angle, the screw adjustment method includes: lowering or raising the first screw and the second screw; When the leveling method is generated based on the roll angle, the screw adjustment method includes: lowering or raising the second screw and the third screw.

8. The urine analyzer according to claim 1, characterized in that, The focusing feature value is either the sharpness value or the brightness value.

9. The urine analyzer according to claim 1, characterized in that, The target particle is a red blood cell particle.

10. A method for leveling a flow cell, characterized in that, include: As the standard sample flows through the flow cell of the urine analyzer, at least one laminar flow image is captured by the imaging module through the imaging window of the flow cell after focusing. The leveling detection result of the flow cell is obtained based on the at least one laminar flow image; If the leveling test result indicates that the flow cell does not meet the usage requirements, the leveling method of the flow cell is determined based on the leveling test result. The leveling detection results and the leveling method are displayed through the display module. The field of view of the shooting module is divided into multiple grids; The standard sample contains target particles; The step of obtaining the leveling detection result of the flow cell based on the at least one laminar flow image includes: Based on the at least one laminar flow image, the position of the target particle and the focusing feature value of the target particle are obtained, and the focusing feature value is used to characterize the focusing status of the imaging module; Based on the focusing feature values ​​of the target particles in each grid, a fitting plane for the laminar flow in the flow cell is generated, and the leveling status of the flow cell is detected based on the fitting plane to obtain the leveling detection result.

11. An electronic device, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the flow cell leveling method as described in claim 10.

12. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the flow cell leveling method of claim 10.

Images