Sample visible component analysis system and method thereof

Abstract

The invention discloses a sample visible component analysis system and method, the sample visible component analysis system comprises a counting chamber, an image acquisition device and a processing device, the counting chamber has a first depth area and a second depth area, and the depth of the second depth area is smaller than that of the first depth area; and the processing device is used for acquiring and analyzing the first sample image and the second sample image so as to judge the accumulation condition of the visible components of the first depth region or the second depth region, and classifying and counting the visible components of the sample in the first sample image or the second sample image according to the judgment result. As the counting chamber is arranged into the areas with different depths, samples with different densities are settled at the bottoms of the areas with different depths of the counting chamber, so that the areas with the accumulation condition meeting the requirement and more visible components can be selected for photographing analysis; the detection inaccuracy caused by too many or too few settled samples at the bottom of the counting chamber can be avoided, so that the detection accuracy is improved.

Description

A sample formed element analysis system and method

[0001] This application is a divisional application of application number 202011471599.9. Technical Field

[0002] This invention relates to the field of in vitro detection technology, specifically to a sample formed element analysis system and method. Background Technology

[0003] A digital imaging urine formed element analyzer is an instrument for detecting formed elements in urine. The instrument outputs a count of formed elements, typically in units of "elements per microliter." Its detection principle involves taking a photomicrograph of a sample of a certain volume, automatically identifying and counting the formed elements in the image, and calculating the concentration of formed elements based on the volume. The product of the height of the counting chamber and the field of view of the image is the volume being analyzed. During sample analysis, the sample typically needs to settle naturally or be centrifuged to the bottom of the counting chamber before being photographed.

[0004] Traditional urine sediment analyzers often encounter problems during testing, such as too much or too little sample settling at the bottom of the counting chamber, which affects the accuracy of the test. Summary of the Invention

[0005] One embodiment provides a urine formed elements analysis system, comprising:

[0006] A counting cell for holding samples, the counting cell having a first depth region and a second depth region, the depth of the second depth region being less than that of the first depth region;

[0007] An image acquisition device is used to perform an imaging operation on the sample in a first depth region of the counting cell to obtain a first sample image, and to perform an imaging operation on the sample in a second depth region of the counting cell to obtain a second sample image; and

[0008] The processing device, connected to the image acquisition device, is used to acquire a first sample image and a second sample image, analyze and determine the accumulation of formed elements in a first depth region corresponding to the first sample image, or analyze and determine the accumulation of formed elements in a second depth region corresponding to the second sample image, and classify and count the formed elements of the sample in the first sample image or the second sample image according to the determination result of the accumulation of formed elements in the first depth region or the second depth region.

[0009] In one embodiment, the processing device analyzes and determines the accumulation of formed elements in a first depth region corresponding to the first sample image, or analyzes and determines the accumulation of formed elements in a second depth region corresponding to the second sample image, including: analyzing the first sample image to calculate the overlap of formed elements in the first sample image or analyzing the second sample image to calculate the overlap of formed elements in the second sample image, and determining the accumulation of formed elements in the first depth region corresponding to the first sample image or determining the accumulation of formed elements in the second depth region corresponding to the second sample image based on the overlap of formed elements in the first sample image.

[0010] In one embodiment, the processing device classifies and counts the formed elements of the sample in the first sample image or the second sample image based on the judgment result of the accumulation of formed elements in the first depth region or the second depth region, including: if the overlap of the formed elements in the first sample image does not exceed a preset threshold, then classifying and counting the formed elements of the sample based on the first sample image; and / or, if the overlap of the formed elements in the first sample image exceeds the threshold, then classifying and counting the formed elements of the sample based on the formed elements of the sample in the second sample image.

[0011] In one embodiment, if the overlap of formed elements in the first sample image exceeds the threshold, a judgment result on the accumulation of formed elements in the second depth region is also obtained; if the overlap of formed elements in the second sample image does not exceed the threshold, the classification and counting of formed elements in the sample in the second sample image is performed; and / or, if the overlap of formed elements in the second sample image exceeds the threshold, the concentration of formed elements in the sample is determined to be too high.

[0012] In one embodiment, the processing device classifies and counts the formed elements of the sample in the first sample image or the second sample image based on the judgment result of the accumulation of formed elements in the first depth region or the second depth region, including: if the overlap of formed elements in the second sample image exceeds a preset threshold, then it is determined that the concentration of formed elements in the sample is too high; and / or, if the overlap of formed elements in the second sample image does not exceed the threshold, then it classifies and counts the formed elements of the sample in the second sample image.

[0013] In one embodiment, the counting cell includes a cavity, and the top or bottom surface of the counting cell includes two stepped surfaces with a height difference, the two stepped surfaces with a height difference forming the first depth region and the second depth region; or,

[0014] The counting pool includes two independent cavities of different depths, which form the first depth region and the second depth region.

[0015] In one embodiment, the sample includes a urine sample.

[0016] According to a second aspect, one embodiment provides a sample morphological component analysis system, comprising:

[0017] A counting cell for holding samples, the counting cell having a first depth region and a second depth region, the depth of the second depth region being different from that of the first depth region;

[0018] An image acquisition device is used to perform an imaging operation on the sample in a first depth region of the counting cell to obtain a first sample image, and to perform an imaging operation on the sample in a second depth region of the counting cell to obtain a second sample image; and

[0019] The processing device, connected to the image acquisition device, is used to acquire the first sample image, analyze the first sample image, determine the accumulation of formed elements in the first depth region corresponding to the first sample image, and, based on the determination result of the accumulation of formed elements in the first depth region, choose to classify and count the formed elements of the sample according to the first sample image, or acquire the second sample image and classify and count the formed elements of the sample according to the second sample image.

[0020] In one embodiment, the processing device analyzes the first sample image to determine the accumulation of formed elements in the first depth region corresponding to the first sample image, including: analyzing the first sample image to calculate the overlap of formed elements in the first sample image, and determining the accumulation of formed elements in the first depth region corresponding to the first sample image based on the overlap of formed elements in the first sample image.

[0021] In one embodiment, the determination result based on the accumulation of formed elements in the first depth region includes: selecting to classify and count the formed elements of the sample based on the first sample image, or acquiring the second sample image and classifying and counting the formed elements of the sample based on the second sample image, comprising:

[0022] If the overlap of the formed elements in the first sample image does not exceed a preset threshold, then the formed elements of the sample are classified and counted according to the first sample image; and / or, if the overlap of the formed elements in the first sample image exceeds the threshold, then the second sample image is obtained, and the formed elements of the sample are classified and counted according to the second sample image.

[0023] In one embodiment, if the overlap of formed elements in the first sample image exceeds the threshold, it is further determined whether the overlap of formed elements in the second sample image exceeds the threshold; if the overlap of formed elements in the second sample image does not exceed the threshold, then the classification and counting of formed elements of the sample in the second sample image is performed; and / or, if the overlap of formed elements in the second sample image exceeds the threshold, then it is determined that the concentration of formed elements in the sample is too high.

[0024] In one embodiment, the depth of the second depth region is less than that of the first depth region.

[0025] In one embodiment, the counting cell includes a cavity, and the top or bottom surface of the counting cell includes two stepped surfaces with a height difference, the two stepped surfaces with a height difference forming the first depth region and the second depth region; or,

[0026] The counting pool includes two independent cavities of different depths, which form the first depth region and the second depth region.

[0027] In one embodiment, the sample includes a urine sample.

[0028] According to a third aspect, one embodiment provides a sample morphological component analysis system, comprising:

[0029] A counting cell, used to hold samples, wherein the counting cell comprises regions of different depths;

[0030] An image acquisition device is used to perform photographic operations on the samples at different depths of the counting pool to obtain sample images; and

[0031] The processing device, connected to the image acquisition device, is used to acquire sample images of different depth regions of the counting pool, analyze the sample images of different depth regions of the counting pool, determine the accumulation of formed elements in the corresponding depth regions of the sample images of different depth regions of the counting pool, and classify and count the formed elements of the samples in the sample images of different depth regions of the counting pool based on the determination result of the accumulation of formed elements in the corresponding depth regions of the sample images of different depth regions of the counting pool.

[0032] In one embodiment, the processing device analyzes sample images of different depth regions of the counting pool to determine the accumulation of formed elements in the corresponding depth regions of the sample images of different depth regions of the counting pool, including: analyzing sample images of any depth region in the counting pool to calculate the overlap of formed elements in the sample images of that depth region, and determining the accumulation of formed elements in the sample images of that depth region based on the overlap of formed elements in the sample images of that depth region.

[0033] In one embodiment, classifying and counting the formed elements of the samples in the sample images of different depth regions of the counting pool based on the judgment result of the accumulation of formed elements in the corresponding depth regions of the sample images of different depth regions of the counting pool includes: if the judgment result is that the overlap of formed elements in some or all of the sample images is lower than or equal to a preset threshold, then classifying and counting the formed elements of the samples based on the judgment that the formed elements are lower than or equal to the threshold of the sample images.

[0034] According to a fourth aspect, one embodiment provides a method for analyzing formed elements in a sample, used to classify and count the formed elements of a sample, the method comprising the following steps:

[0035] The image acquisition device is controlled to perform a camera operation on the sample in the first depth region of the counting pool to obtain a first sample image, and to perform a camera operation on the sample in the second depth region of the counting pool to obtain a second sample image;

[0036] The first sample image is analyzed to determine the accumulation of formed elements in the first depth region corresponding to the first sample image, or the second sample image is analyzed to determine the accumulation of formed elements in the second depth region corresponding to the second sample image. Based on the determination result of the accumulation of formed elements in the first depth region or the second depth region, the formed elements of the sample in the first sample image or the second sample image are classified and counted.

[0037] According to a fifth aspect, one embodiment provides a method for analyzing formed elements in a sample, used to classify and count the formed elements of a sample, the method comprising the following steps:

[0038] The image acquisition device is controlled to perform a camera operation on the sample in the first depth region of the counting cell to obtain a first sample image;

[0039] The first sample image is analyzed to determine the accumulation of formed elements in the first depth region corresponding to the first sample image.

[0040] Based on the judgment result of the formation of elements in the first depth region: select to classify and count the formation of elements in the sample according to the first sample image, or control the image acquisition device to perform a camera operation on the sample in the second depth region of the counting pool to obtain a second sample image, and classify and count the formation of elements in the sample according to the second sample image.

[0041] According to a sixth aspect, one embodiment provides a method for analyzing formed elements in a sample, used to classify and count the formed elements of a sample, the method comprising the following steps:

[0042] The image acquisition device is controlled to perform imaging operations on the samples in different depth regions of the counting cell to obtain sample images of different depth regions of the counting cell;

[0043] The sample images of different depth regions of the counting pool are analyzed to determine the accumulation of formed elements in the corresponding depth regions of the sample images of different depth regions of the counting pool. Based on the determination results of the accumulation of formed elements in the corresponding depth regions of the sample images of different depth regions of the counting pool, the formed elements of the samples in the sample images of different depth regions of the counting pool are classified and counted.

[0044] According to the sample formed element analysis system and method of the above embodiments, since the counting cell is set into regions of different depths, samples of different densities will settle at the bottom of the regions of different depths of the counting cell. This allows for the selection of regions with satisfactory accumulation and a greater quantity of formed elements for photographic analysis. This avoids inaccurate detection caused by too many or too few samples settling at the bottom of the counting cell, thereby improving the accuracy of detection. Attached Figure Description

[0045] Figure 1 is a structural block diagram of a urine formed elements analysis system in one embodiment;

[0046] Figure 2 is a vertical sectional view of the counting cell in one embodiment;

[0047] Figure 3 is a vertical sectional view of the counting cell in one embodiment;

[0048] Figure 4 is a vertical sectional view of the counting cell in one embodiment;

[0049] Figure 5 is a vertical sectional view of the counting cell in one embodiment;

[0050] Figure 6 is a flowchart of a urine formed element analysis system in one embodiment;

[0051] Figure 7 is a flowchart of a urine formed element analysis system in one embodiment;

[0052] Figure 8 is a flowchart of a urine formed element analysis system in one embodiment;

[0053] Figure 9 is a flowchart of a urine formed element analysis system in one embodiment;

[0054] Figure 10 is a flowchart of a urine formed element analysis system in one embodiment. Detailed Implementation

[0055] The present invention will now be described in further detail with reference to specific embodiments and accompanying drawings. Similar elements in different embodiments are referred to by associated similar element reference numerals. In the following embodiments, many details are described to facilitate a better understanding of this application. However, those skilled in the art will readily recognize that some features may be omitted in different situations, or may be replaced by other elements, materials, or methods. In some cases, certain operations related to this application are not shown or described in the specification. This is to avoid obscuring the core parts of this application with excessive description. For those skilled in the art, detailed description of these related operations is not necessary; they can fully understand the related operations based on the description in the specification and general technical knowledge in the art.

[0056] Furthermore, the features, operations, or characteristics described in the specification can be combined in any suitable manner to form various embodiments. At the same time, the steps or actions in the method description can be rearranged or adjusted in a manner obvious to those skilled in the art. Therefore, the various orders in the specification and drawings are only for the clear description of a particular embodiment and do not imply a necessary order, unless otherwise stated that a particular order must be followed.

[0057] The serial numbers assigned to components in this document, such as "first" and "second," are used only to distinguish the described objects and have no sequential or technical meaning. The terms "connection" and "linkage" used in this application, unless otherwise specified, include both direct and indirect connections (linkages).

[0058] In one embodiment, a formed element analysis system is provided. The formed elements of urine include red blood cells, white blood cells, bacteria, cocci, bacilli, etc. This urine formed element analysis system can classify and count the formed elements of urine from the images by taking pictures of sedimented samples in urine and then analyzing the images.

[0059] Please refer to Figure 1. The urine formed elements analysis system mainly includes a counting cell 1, an image acquisition device 2, and a processing device 3, as well as a sample injection device 4 and a sample dispensing device 5.

[0060] The sample introduction device 4 is used to transport the test tube rack containing test tubes to the sample loading position, and the sample addition device 5 is used to extract urine samples from the test tube rack at the sample loading position and then add the extracted samples into the counting cell 1.

[0061] Counting chamber 1 is used to hold urine samples.

[0062] Image acquisition device 2 is a microscope imaging device, which includes visual sensing devices such as CCD and image acquisition card. Image acquisition device 2 is located above counting cell 1. Image acquisition device 2 is used to take pictures of the formed elements settling in counting cell 1 from top to bottom and convert the various formed elements in urine into digital image signals.

[0063] The processing device 3 is connected to the image acquisition device 2. The processing device 3 is used to acquire the digital image signal generated by the image acquisition device 2. The processing device 3 performs image processing and analysis on the digital image signal. Based on information such as pixel distribution and grayscale changes, it extracts tangible targets from the image. By modeling the feature space of tangible elements and calculating the feature set of each segmented target, it identifies tangible elements by imitating the artificial neural network of the human brain, and performs classification and counting.

[0064] In this embodiment, the counting cell 1 is a transparent structure, made of materials such as optical glass, quartz glass, or transparent plastic. The counting cell 1 has an inlet and an outlet (not shown in Figure 2), and valves are provided on the inlet and outlet, or on the pipe connecting the inlet and outlet. When the valves are closed, a sealed cavity is formed inside the counting cell 1.

[0065] Please refer to Figure 2. The bottom surface of the counting cell 1 is flat, and the top surface is a stepped structure. The top surface forms two steps with different heights. The bottom of the two steps corresponds to the first depth region 11 and the second depth region 12, respectively. The depth of the second depth region 12 is less than that of the first depth region 11. The first depth region 11 can hold more urine samples than the second depth region 12.

[0066] The density of formed elements settling at the bottom of the first depth region 11 is greater than that of the second depth region 12, meaning the quantity of formed elements at the bottom of the first depth region 11 is greater than that of the second depth region 12. However, the probability of overlapping formed elements at the bottom of the first depth region 11 is greater than that of the second depth region 12. The depth difference between the first depth region 11 and the second depth region 12 can be set as needed.

[0067] The depth of the first depth region 11 is H1, the depth of the second depth region 12 is H2, and the field of view of the first depth region 11 and the second depth region 12 is S.

[0068] The image acquisition device 2 is used to capture images of the first depth region 11 and the second depth region 12 in sequence. The first sample image is obtained by capturing images of the urine sample settling at the bottom of the first depth region 11, and the second sample image is obtained by capturing images of the urine sample settling at the bottom of the second depth region 12.

[0069] The processing device 3 is used to acquire a first sample image and a second sample image. First, it analyzes the first sample image and calculates the overlap A1 of the formed elements of the first sample image. Then, it compares the overlap A1 with a preset threshold A0.

[0070] If the overlap A1 is less than or equal to the threshold A0, then the overlap of the formed elements in the first depth region 11 is determined to meet the requirements, and the formed elements are calculated based on the first sample image and the result is output.

[0071] If the overlap A1 is greater than the threshold A0, it is determined that the overlap of the formed elements in the first depth region 11 is too large and does not meet the requirements; then the overlap A2 of the formed elements in the second sample image is calculated and compared with the preset threshold A0 for further judgment.

[0072] If the overlap A2 is less than or equal to the threshold A0, then the overlap of the formed elements in the second depth region 12 is determined to meet the requirements, and the formed elements are calculated based on the second sample image and the result is output.

[0073] If the overlap A2 is greater than the threshold A0, it is determined that the overlap of formed elements in the second depth region 12 is too large and does not meet the requirements, and the concentration of formed elements in the sample is determined to be too high.

[0074] In this embodiment, the calculation of formed elements based on the sample image includes calculating the concentration of non-overlapping formed elements. The concentration of formed elements is calculated using the following formula:

[0075] Cn / (Hn×S)

[0076] Where Cn is the number of formed elements, Hn is the depth of a certain depth region of counting pool 1, and S is the shooting area.

[0077] For samples of the same concentration, the higher the height of the counting cell chamber, the more formed elements will be captured. Therefore, increasing the height of the counting cell chamber is beneficial for increasing the detection volume, thereby improving detection sensitivity and repeatability. However, when there are too many formed elements in the sample, they will accumulate together, making accurate identification and counting impossible. The taller the chamber, the easier it is for formed elements to accumulate, and the lower the upper limit of the detection concentration range of the counting cell.

[0078] In this embodiment, the counting cell 1 is provided with two different depth regions, which can select regions with a large number of formed elements and no serious accumulation of formed elements; while ensuring that the overlap of formed elements is not high, the sensitivity and repeatability of detection are improved.

[0079] In one embodiment, the image acquisition device 2 first captures a first sample image of the first depth region 11. If the overlap A1 of the first sample image is less than or equal to the threshold A0, the formed elements of the first sample image are calculated and the result is output. In this case, the image acquisition device 2 does not need to capture an image of the second depth region 12. If the overlap A1 of the first sample image is greater than the threshold A0, the image acquisition device 2 then captures a second sample image of the second depth region 12. If the overlap A2 is less than or equal to the threshold A0, the formed elements are calculated based on the second sample image and the result is output.

[0080] Referring to Figure 3, in one embodiment, the counting cell 1 includes two independent cavities, with a partition 13 between the first depth region 11 and the second depth region 12. The first depth region 11 and the second depth region 12 each have an inlet and an outlet. The outer shell of the counting cell 1 is a one-piece structure, or the counting cell 1 can be formed by merging two counting cells. The counting cell 1 with two independent cavities also has two different depth regions, which can meet the detection requirements.

[0081] In one embodiment, the counting cell 1 includes three or more depth regions, dividing the counting cell 1 into more depth regions. These different depth regions can be located within a single cavity or within multiple independent cavities. Increasing the number of depth regions in the counting cell 1, i.e., finer division of the gradient of constituent element density, improves accuracy and enables the selection of more suitable samples for detection.

[0082] Taking the counting pool 1, which includes three regions at different depths, as an example, the image acquisition device 2 captures images of the three regions at different depths to obtain three different sample images. The overlap of the three sample images is calculated, and the three overlaps are compared with the threshold A0. If there is a sample image with an overlap lower than or equal to the threshold A0, the formed element is calculated based on the sample image and the result is output.

[0083] Alternatively, a successive comparison method can be used, where the overlap of sample images from the deepest region to the shallowest region is compared sequentially with the threshold A0. If a sample image with an overlap lower than or equal to the threshold A0 is found, the comparison is stopped, and the formed elements are calculated based on the sample images with an overlap lower than or equal to the threshold A0, and the results are output.

[0084] Please refer to Figure 4. In one embodiment, the counting cell 1 has a gradient depth structure, with the top surface of the counting cell 1 being an inclined surface and the bottom surface being a plane.

[0085] This counting pool 1 can be divided into several regions of different depths. Images are taken from each region to obtain several sample images. The overlap of the formed elements in each sample image is then determined to be less than or equal to a threshold A0. Calculations and analyses are performed on the sample images whose overlap is less than or equal to the threshold A0. This counting pool 1 is equivalent to several stepped regions of different depths, allowing for the selection of suitable depth regions for calculation, thus improving detection accuracy.

[0086] For the gradient counting cell 1, the concentration of non-overlapping formed elements is calculated using the following formula:

[0087]

[0088] Where n is the number of sample images, Cx is the number of formed elements in a single sample image, Hx is the depth of the urine sample in the central counting cell 1 of the field of view, and S is the area of ​​the photographed field of view.

[0089] Referring to Figure 5, in one embodiment, the top surface of the counting cell 1 is flat, and the bottom surface is a stepped, inclined, or combined structure. Similarly, the counting cell 1 can be configured to have structures with different depth regions.

[0090] In one embodiment, a urine formed element analysis system is provided, wherein the region of the urine formed element analysis system described above is such that two different depth regions of the counting pool 1 are used for formed element calculation and color recognition, respectively.

[0091] In this embodiment, the image acquisition device 2 is used to capture images of the first depth region 11 and the second depth region 12 in sequence. The first sample image is obtained by capturing images of the urine sample settling at the bottom of the first depth region 11, and the second sample image is obtained by capturing images of the urine sample settling at the bottom of the second depth region 12.

[0092] The processing device 3 acquires a first sample image and a second sample image. The processing device 3 identifies the color of the sample based on the first sample image and outputs the result. The processing device 3 calculates the formed elements of the sample based on the second sample image and outputs the result.

[0093] Compared to traditional methods using dry chemical test strips, this embodiment combines component calculation and color recognition into a single detection process, resulting in higher efficiency and sensitivity. Compared to existing single-depth counting cells, this embodiment employs a deeper second-depth region 12 for urine detection, increasing the path length of light through the urine sample and enabling more accurate color identification.

[0094] In one embodiment, a method for analyzing formed elements in urine is provided, wherein the urine formed element analysis system described in the above embodiment is used for detection.

[0095] Please refer to Figure 6. This method for analyzing formed elements in urine includes the following steps:

[0096] 101: Take pictures and sample the first depth region 11 and the second depth region 12;

[0097] The processing device 3 controls the image acquisition device 2 to take pictures of the first depth region 11 and the second depth region 12 in sequence. The urine sample settling at the bottom of the first depth region 11 is photographed to obtain the first sample image, and the urine sample settling at the bottom of the second depth region 12 is photographed to obtain the second sample image.

[0098] 102: Determine whether the formed elements in the first depth region 11 are severely overlapping;

[0099] The processing device 3 calculates the overlap degree A1 of the formed elements in the first sample image and compares the overlap degree A1 with a preset threshold A0 to determine whether the formed elements in the first sample image are severely overlapping.

[0100] If the overlap A1 is less than or equal to the threshold A0, it is determined that the overlap of the formed elements in the first depth region 11 meets the requirements, and the formed elements are calculated based on the first sample image and the result is output, and the detection ends.

[0101] 103: Determine whether the formed elements in the second depth region 12 are severely overlapping.

[0102] If the overlap A1 is greater than the threshold A0, it is determined that the overlap of the formed elements in the first depth region 11 is too large and does not meet the requirements; then the overlap A2 of the formed elements in the second sample image is calculated and compared with the preset threshold A0 to determine whether the formed elements in the second sample image are seriously overlapped.

[0103] If the overlap A2 is less than or equal to the threshold A0, then the overlap of the formed elements in the second depth region 12 is determined to meet the requirements, and the formed elements are calculated based on the second sample image and the result is output, and the process ends.

[0104] If the overlap A2 is greater than the threshold A0, it is determined that the overlap of formed elements in the second depth region 12 is too large and does not meet the requirements, and the concentration of formed elements in the sample is determined to be too high.

[0105] The urine formed element analysis method of this embodiment first images the first depth region 11, which has a greater depth, and determines the severity of the overlap of formed elements. Then, the same comparison operation is performed on the second depth region 12, which has a shallower depth. When the first depth region 11 meets the requirements, the first image is used for analysis and the result is output; when the first depth region 11 does not meet the requirements, the second image is used for analysis and the result is output. This allows the image with the highest number of formed elements in the sample, while satisfying the overlap requirement, to be selected as the analysis template, thus improving the sensitivity and accuracy of the detection.

[0106] In one embodiment, a method for analyzing formed elements in urine is provided, which differs from the analysis method in the above embodiment in that: in this embodiment, the analysis direction determines that the formed elements in the first depth region are severely overlapping before taking pictures of the second depth region.

[0107] Please refer to Figure 7. The urine formed element analysis method of this embodiment includes the following steps:

[0108] 201: Take pictures and sample the first depth region 11;

[0109] The processing device 3 controls the image acquisition device 2 to take pictures of the second depth region 12 and to take pictures of the urine sample that has settled at the bottom of the first depth region 11, so as to obtain the first sample image.

[0110] 202: Determine whether the formed elements in the first depth region 11 are severely overlapping;

[0111] The processing device 3 calculates the overlap degree A1 of the formed elements in the first sample image and compares the overlap degree A1 with a preset threshold A0 to determine whether the formed elements in the first sample image are severely overlapping.

[0112] If the overlap A1 is less than or equal to the threshold A0, it is determined that the overlap of the formed elements in the first depth region 11 meets the requirements, and the formed elements are calculated based on the first sample image and the result is output, and the detection ends.

[0113] 203: Take photos and samples of the second depth region 12;

[0114] If the overlap A1 is greater than the threshold A0, it is determined that the overlap of formed elements in the first depth region 11 is too large and does not meet the requirements.

[0115] The processing device 3 controls the image acquisition device 2 to take pictures of the second depth region 12 and to take pictures of the urine sample settling at the bottom of the second depth region 12 to obtain the second sample image.

[0116] 204: Determine whether the formed elements in the second depth region 12 are severely overlapping.

[0117] If the overlap A2 is less than or equal to the threshold A0, then the overlap of the formed elements in the second depth region 12 is determined to meet the requirements, and the formed elements are calculated based on the second sample image and the result is output, and the process ends.

[0118] If the overlap A2 is greater than the threshold A0, it is determined that the overlap of formed elements in the second depth region 12 is too large and does not meet the requirements, and the concentration of formed elements in the sample is determined to be too high.

[0119] In this embodiment of the urine formed element analysis method, imaging of the second depth region is only performed after it is determined that the formed elements in the first depth region are severely overlapping. When the formed elements in the first depth region meet the requirements, there is no need to photograph the second depth region, saving the corresponding imaging process and improving detection efficiency.

[0120] In one embodiment, a urine formed element analysis method is provided, which differs from the analysis method in the above embodiment in that: the analysis method in this embodiment performs photographic detection on counting pools with more than two regions at different depths.

[0121] Please refer to Figure 8. The urine formed element analysis method of this embodiment includes the following steps:

[0122] 301: Take photos and sample data from several depth regions separately;

[0123] The processing device 3 controls the image acquisition device 2 to take pictures of the formed elements in all depth regions in turn, and obtain a number of sample images.

[0124] 302: Determine whether the formed elements of several depth regions severely overlap;

[0125] The processing device 3 calculates the overlap degree A1, A2...An of the formed elements of several sample images, and compares the overlap degree A1, A2...An with a preset threshold A0 in turn to determine whether the formed elements of several sample images are seriously overlapping.

[0126] Discard sample images with an overlap greater than the threshold A0.

[0127] 303: Determine if the number of qualified sample images is zero.

[0128] If, after discarding sample images with an overlap greater than the threshold A0, the number of remaining sample images is greater than or equal to 1, then the formed elements are calculated based on all remaining sample images and the results are output.

[0129] If the number of remaining sample images is zero after discarding sample images with an overlap greater than the threshold A0, then the sample concentration is determined to be too high.

[0130] The urine formed element analysis method of this embodiment captures images of formed elements in several depth regions. Compared with two different depth regions, setting more depth regions can further improve the accuracy of detection.

[0131] In one embodiment, a method for analyzing formed elements in urine is provided, which differs from the analysis method in the above embodiment in that the analysis method in this embodiment performs photographic detection on the counting pool in the gradient depth region.

[0132] Please refer to Figure 9. The urine formed element analysis method of this embodiment includes the following steps:

[0133] 401: Take photos and samples sequentially from the deepest H1 to the shallowest H2;

[0134] The processing device 3 controls the image acquisition device 2 to take pictures sequentially from the deepest H1 to the shallowest H2, and obtains a number of sample images.

[0135] 402: Determine whether the formed elements of several sample images severely overlap;

[0136] The processing device 3 calculates the overlap degree A1, A2...An of the formed elements of several sample images, and compares the overlap degree A1, A2...An with a preset threshold A0 in turn to determine whether the formed elements of several sample images are seriously overlapping.

[0137] If the overlap of all sample images is less than or equal to the threshold A0, then the formed elements are calculated based on all sample images and the results are output, thus ending the detection.

[0138] 403: Determine if Hx is less than or equal to H2.

[0139] If there exist sample images where the overlap is greater than the threshold A0, then find the minimum depth Hx among the sample images where the overlap is greater than the threshold A0.

[0140] Next, compare the minimum depth Hx with the minimum depth H2 of counting cell 1;

[0141] If Hx is greater than H2, then there exists a sample image that satisfies the condition. Based on the sample image, the formed elements are calculated and the results are output, and the detection ends.

[0142] If Hx is less than or equal to H2, then there is no sample image that meets the requirements, and the sample concentration is determined to be too high.

[0143] This urine formed element analysis method takes successive images of a counting cell with gradually varying depths and judges whether the overlap exceeds a threshold. It can also select sample images of the depth region that meets the requirements for calculation, thus improving the accuracy of detection.

[0144] In one embodiment, a urine formed element analysis method is provided, which differs from the analysis method in the above embodiment in that the first sample image and the second sample image are used to detect different items.

[0145] Please refer to Figure 10. The urine formed element analysis method of this embodiment includes the following steps:

[0146] 501: White balance correction;

[0147] Before adding urine samples, a background photograph was taken of the chamber of counting cell 1 corresponding to H1, and white balance correction was performed.

[0148] 502: Add urine sample;

[0149] The sampling device adds a urine sample into counting chamber 1, and the urine sample fills the cavity inside counting chamber 1.

[0150] 503: Photographing and identifying the color of urine samples;

[0151] The processing device 3 controls the image acquisition device 2 to take pictures of the first depth region 11 in sequence to obtain the first sample image; the processing device 3 identifies the color of the urine sample based on the first sample image.

[0152] 504: Taking photos and calculating formed elements;

[0153] The processing device 3 controls the image acquisition device 2 to capture images of the second depth region 12 in sequence to obtain a second sample image; the processing device 3 calculates formed elements based on the second sample image.

[0154] 505: Output the detection results.

[0155] Output the color and formed element data of the identified urine sample.

[0156] Compared to traditional methods using dry chemical test strips, this embodiment combines component calculation and color recognition into a single detection process, resulting in higher efficiency and sensitivity. Compared to existing single-depth counting cells, this embodiment employs a deeper second-depth region 12 for urine detection, increasing the path length of light through the urine sample and enabling more accurate color identification.

[0157] The above examples illustrate the present invention only to aid in understanding it and are not intended to limit the scope of the invention. Those skilled in the art can make various simple deductions, modifications, or substitutions based on the principles of this invention.

Claims

1. A sample formed element analysis system, characterized in that, include: A counting cell for holding samples, the counting cell having a first depth region and a second depth region, the depth of the second depth region being less than that of the first depth region; An image acquisition device is used to perform a camera operation on the sample in the first depth region of the counting pool to obtain a first sample image, and to perform a camera operation on the sample in the second depth region of the counting pool to obtain a second sample image; The image acquisition device is connected to a processing device for acquiring a first sample image and a second sample image. The processing device analyzes and judges the accumulation of formed elements in a first depth region corresponding to the first sample image, or analyzes and judges the accumulation of formed elements in a second depth region corresponding to the second sample image. Based on the judgment result of the accumulation of formed elements in the first depth region or the second depth region, the processing device classifies and counts the formed elements of the sample in the first sample image or the second sample image.

2. The sample formed element analysis system as described in claim 1, characterized in that, The processing device analyzes and determines the accumulation of formed elements in the first depth region corresponding to the first sample image, or analyzes and determines the accumulation of formed elements in the second depth region corresponding to the second sample image, including: analyzing the first sample image to calculate the overlap of formed elements in the first sample image or analyzing the second sample image to calculate the overlap of formed elements in the second sample image, and determining the accumulation of formed elements in the first depth region corresponding to the first sample image or determining the accumulation of formed elements in the second depth region corresponding to the second sample image based on the overlap of formed elements in the first sample image.

3. The sample formed element analysis system as described in claim 2, characterized in that, The processing device classifies and counts the formed elements of the sample in the first sample image or the second sample image based on the judgment result of the accumulation of formed elements in the first depth region or the second depth region, including: if the overlap of formed elements in the first sample image does not exceed a preset threshold, then classifying and counting the formed elements of the sample based on the first sample image; and / or, if the overlap of formed elements in the first sample image exceeds the threshold, then classifying and counting the formed elements of the sample based on the formed elements of the sample in the second sample image.

4. The sample formed element analysis system as described in claim 3, characterized in that, If the overlap of formed elements in the first sample image exceeds the threshold, the result of the judgment on the accumulation of formed elements in the second depth region is also obtained; if the overlap of formed elements in the second sample image does not exceed the threshold, the classification and counting of formed elements of the sample in the second sample image is performed; and / or, if the overlap of formed elements in the second sample image exceeds the threshold, the concentration of formed elements of the sample is determined to be too high.

5. The sample formed element analysis system as described in claim 2, characterized in that, The processing device classifies and counts the formed elements of the sample in the first sample image or the second sample image based on the judgment result of the formation element accumulation in the first depth region or the second depth region, including: if the overlap of the formed elements in the second sample image exceeds a preset threshold, then it is determined that the concentration of the formed elements in the sample is too high; and / or, if the overlap of the formed elements in the second sample image does not exceed the threshold, then the formed elements of the sample in the second sample image are classified and counted.

6. The sample formed element analysis system as described in claim 1, characterized in that, The counting cell includes a cavity, and the top or bottom surface of the counting cell includes two stepped surfaces with a height difference, the two stepped surfaces with a height difference forming the first depth region and the second depth region; or, the counting cell includes two independent cavities of different depths, the two cavities of different depths forming the first depth region and the second depth region.

7. The sample formed element analysis system as described in claim 1, characterized in that, The samples include urine samples.

8. A sample formed element analysis system, characterized in that, include: A counting cell for holding samples, the counting cell having a first depth region and a second depth region, the depth of the second depth region being different from that of the first depth region; An image acquisition device is used to perform a camera operation on the sample in the first depth region of the counting pool to obtain a first sample image, and to perform a camera operation on the sample in the second depth region of the counting pool to obtain a second sample image; The system includes a processing device connected to the image acquisition device, used to acquire the first sample image, analyze the first sample image, determine the accumulation of formed elements in the first depth region corresponding to the first sample image, and, based on the determination result of the accumulation of formed elements in the first depth region, choose to classify and count the formed elements of the sample according to the first sample image, or acquire the second sample image and classify and count the formed elements of the sample according to the second sample image.

9. The sample formed element analysis system as described in claim 8, characterized in that, The processing device analyzes the first sample image to determine the accumulation of formed elements in the first depth region corresponding to the first sample image, including: analyzing the first sample image to calculate the overlap of formed elements in the first sample image, and determining the accumulation of formed elements in the first depth region corresponding to the first sample image based on the overlap of formed elements in the first sample image.

10. The sample formed element analysis system as described in claim 9, characterized in that, The determination result based on the accumulation of formed elements in the first depth region: selecting to classify and count the formed elements of the sample based on the first sample image, or acquiring the second sample image and classifying and counting the formed elements of the sample based on the second sample image, includes: if the overlap of the formed elements in the first sample image does not exceed a preset threshold, then selecting to classify and count the formed elements of the sample based on the first sample image; and / or, if the overlap of the formed elements in the first sample image exceeds the threshold, then acquiring the second sample image and classifying and counting the formed elements of the sample based on the second sample image.

11. The sample formed element analysis system as described in claim 10, characterized in that, If the overlap of formed elements in the first sample image exceeds the threshold, it is further determined whether the overlap of formed elements in the second sample image exceeds the threshold; if the overlap of formed elements in the second sample image does not exceed the threshold, then the classification and counting of formed elements in the sample in the second sample image is performed; and / or, if the overlap of formed elements in the second sample image exceeds the threshold, then the concentration of formed elements in the sample is determined to be too high.

12. The sample formed element analysis system according to any one of claims 8 to 11, characterized in that, The depth of the second depth region is less than that of the first depth region.

13. The sample formed element analysis system as described in claim 8, characterized in that, The counting cell includes a cavity, and the top or bottom surface of the counting cell includes two stepped surfaces with a height difference, the two stepped surfaces with a height difference forming the first depth region and the second depth region; or, the counting cell includes two independent cavities of different depths, the two cavities of different depths forming the first depth region and the second depth region.

14. The sample formed element analysis system as described in claim 8, characterized in that, The samples include urine samples.

15. A sample formed element analysis system, characterized in that, include: A counting cell, used to hold samples, wherein the counting cell comprises regions of different depths; An image acquisition device is used to perform a camera operation on the sample in different depth regions of the counting pool to obtain sample images; The system also includes a processing device connected to the image acquisition device, used to acquire sample images of different depth regions of the counting pool, analyze the sample images of different depth regions of the counting pool, determine the accumulation of formed elements in the corresponding depth regions of the sample images of different depth regions of the counting pool, and classify and count the formed elements of the samples in the sample images of different depth regions of the counting pool based on the determination results of the accumulation of formed elements in the corresponding depth regions of the sample images of different depth regions of the counting pool.

16. The formed element analysis system as described in claim 15, characterized in that, The processing device analyzes sample images of different depth regions in the counting pool to determine the accumulation of formed elements in the corresponding depth regions of the sample images of different depth regions in the counting pool. This includes: analyzing sample images of any depth region in the counting pool to calculate the overlap of formed elements in the sample images of that depth region, and determining the accumulation of formed elements in the sample images of that depth region based on the overlap of formed elements in the sample images of that depth region.

17. The formed element analysis system as described in claim 16, characterized in that, The step of classifying and counting the formed elements of the samples in the sample images of different depth regions of the counting pool based on the judgment result of the accumulation of formed elements in the corresponding depth regions of the sample images of different depth regions of the counting pool includes: if the judgment result is that the overlap of formed elements in some or all of the sample images is lower than or equal to a preset threshold, then the formed elements of the sample are classified and counted according to the judgment that the formed elements are lower than or equal to the threshold of the sample images.

18. A method for analyzing formed elements in a sample, used to classify and count the formed elements of a sample, characterized in that, The sample formed element analysis method includes the following steps: controlling an image acquisition device to perform a camera operation on the sample in the first depth region of the counting pool to obtain a first sample image, and performing a camera operation on the sample in the second depth region of the counting pool to obtain a second sample image; The first sample image is analyzed to determine the accumulation of formed elements in the first depth region corresponding to the first sample image, or the second sample image is analyzed to determine the accumulation of formed elements in the second depth region corresponding to the second sample image. Based on the determination result of the accumulation of formed elements in the first depth region or the second depth region, the formed elements of the sample in the first sample image or the second sample image are classified and counted.

19. A method for analyzing formed elements of a sample, used to classify and count the formed elements of a sample, characterized in that, The sample formed element analysis method includes the following steps: controlling an image acquisition device to perform a camera operation on the sample in the first depth region of the counting pool to obtain a first sample image; analyzing the first sample image to determine the accumulation of formed elements in the first depth region corresponding to the first sample image; based on the determination result of the accumulation of formed elements in the first depth region: selecting to classify and count the formed elements of the sample based on the first sample image, or controlling the image acquisition device to perform a camera operation on the sample in the second depth region of the counting pool to obtain a second sample image, and classifying and counting the formed elements of the sample based on the second sample image.

20. A method for analyzing formed elements of a sample, used to classify and count the formed elements of a sample, characterized in that, The sample formed element analysis method includes the following steps: controlling an image acquisition device to perform imaging operations on the sample in different depth regions of the counting pool to obtain sample images of different depth regions of the counting pool; analyzing the sample images of different depth regions of the counting pool to determine the accumulation of formed elements in the corresponding depth regions of the sample images of different depth regions of the counting pool; and classifying and counting the formed elements of the sample in the sample images of different depth regions of the counting pool based on the determination results of the accumulation of formed elements in the corresponding depth regions of the sample images of different depth regions of the counting pool.

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