Multi-parameter visible component detection method and device
By using combined illumination of purple and white light in microscopic image analysis, the image clarity problem caused by chromatic aberration under white light illumination is solved, efficient and accurate measurement of hemoglobin and other parameters is achieved, and the light source switching process is simplified.
Patent Information
- Application Number
- CN202410084939.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-01-19
- Publication Date
- 2025-07-22
AI Technical Summary
In the prior art, microscopic image analysis based on white light illumination has chromatic aberration problems, which affects the image clarity and leads to inaccurate analysis results.
Two light sources of different wavelengths (violet light and white light) were used for imaging, and images were obtained under different light sources for parameter measurement. The short-wavelength characteristics of violet light were used to measure hemoglobin and other parameters.
Through combined lighting of different light sources, the advantageous parameter measurement under different conditions is achieved, the image clarity and accuracy of parameter measurement is improved, the light source switching process is simplified, and the detection efficiency is improved.
Smart Images
Figure CN120352316A_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the technical field of component analysis based on microscopic images, especially multi-parameter component detection methods and devices. Background Art
[0002] In the prior art, in multi-parameter component detection methods and devices for component analysis based on microscopic images, usually only microscopic images obtained based on white light illumination are analyzed.
[0003] White light is a broad spectrum. In optical instruments such as microscopes, chromatic aberration will occur. Chromatic aberration is a kind of distortion where the lens cannot focus all colors at the same convergence point. This is because the lens has different refractive indices for light of different wavelengths (dispersion of the lens). Usually, the refractive index decreases as the wavelength increases.
[0004] Chromatic aberration will result in the clarity of microscopic imaging images under white light being inferior to that of microscopic imaging images with a monochromatic light source, affecting subsequent various image-based analyses. Summary of the Invention
[0005] The technical problem to be solved by this application is to avoid the deficiency of chromatic aberration caused by using white light illumination in the prior art, which affects image clarity, and proposes a multi-parameter component detection method and device; imaging is performed based on two light sources respectively, and images are acquired under different light source illumination conditions for different parameter measurements.
[0006] The technical solution of this application to solve the above problems is a multi-parameter component detection method, including TT10: irradiating a sample to be detected with a first light source and adjusting the focal plane to the component to be detected; TT20: irradiating the sample to be detected with the first light source and taking an image irradiated by the first light source; TT21: performing a first parameter measurement based on the image irradiated by the first light source; TT30: irradiating the sample to be detected with a second light source and taking an image irradiated by the second light source; TT31: performing a second parameter measurement based on the image irradiated by the second light source.
[0007] The above multi-parameter component detection method includes any one of the following technical features: Feature TA10, the first light source is violet light with a wavelength range of 380nm - 440nm; the second light source is white light; Feature TA20, the second light source is violet light with a wavelength range of 380nm - 440nm; the first light source is white light.
[0008] Based on Feature TA10, the above multi-parameter component detection method includes any one of the following technical features: Feature TB10, the first parameter is hemoglobin; the second parameter is the number of red blood cells; Feature TB20, the first parameter is hemoglobin; the second parameter is the number of white blood cells.
[0009] The above multi-parameter formed element detection method, based on feature TA20, includes any of the following technical features: Feature TC10, where the second parameter is hemoglobin and the first parameter is the number of red blood cells; Feature TC20, where the second parameter is hemoglobin and the first parameter is the number of white blood cells.
[0010] The above multi-parameter formed element detection method irradiates with a first light source, adjusts the focal plane to the formed element to be detected, takes layered images of more than 3 focal planes of the detected formed element, and obtains the cell volume based on the above layered images.
[0011] The technical solution of this application to solve the above problems is a multi-parameter formed element detection device, including a camera module, an illumination module, a driving component, and a formed element detection component; the camera module includes a camera component, a lens component, and a focal plane adjustment component; the illumination module includes a first light source component and a second light source component; the driving component includes a focal plane adjustment driving module and an image acquisition module; the formed element detection component includes a tangible object detection and analysis module; the formed element detection component is electrically connected to the driving component; the driving component is electrically connected to the camera module; the driving component is electrically connected to the illumination module; irradiate the sample to be detected with the first light source, the focal plane adjustment driving module drives the focal plane adjustment component to adjust the focal plane to the formed element to be detected, and take an image irradiated by the first light source; the image acquisition module acquires the image based on the irradiation of the first light source, and the tangible object detection and analysis module measures the first parameter based on the image irradiated by the first light source; irradiate the sample to be detected with the second light source, take an image irradiated by the second light source; the image acquisition module acquires the image based on the irradiation of the second light source, and the tangible object detection and analysis module measures the second parameter based on the image irradiated by the second light source.
[0012] The focal plane adjustment component adjusts the distance between the camera component and the lens component; or the focal plane adjustment component adjusts the distance between the lens component and the object to be detected.
[0013] The first light source component in the above illumination module is LED lamp bead 1, and the second light source component is LED lamp bead 2. LED lamp bead 1 and LED lamp bead 2 are integrated on a chip or a circuit board.
[0014] The above first light source is ultraviolet light with a wavelength range of 380nm - 440nm; the above second light source is white light; it includes any of the following technical features: Feature TD10, where the first parameter is hemoglobin and the second parameter is the number of red blood cells; Feature TD20, where the first parameter is hemoglobin and the second parameter is the number of white blood cells.
[0015] The second light source described above is ultraviolet light, with a range of 380nm - 440nm; the first light source described above is white light; it includes any one of the following technical features: Feature TE10, the second parameter is hemoglobin; the first parameter is the number of red blood cells; Feature TE20, the second parameter is hemoglobin; the first parameter is the number of white blood cells.
[0016] The above-mentioned multi-parameter formed element detection device irradiates with the first light source, adjusts the focal plane to the formed element to be detected, takes stratified images of more than 3 focal planes of the detected formed element, and obtains the cell volume based on the above-mentioned stratified images.
[0017] The beneficial technical effects of this application include being able to utilize the image advantages under different light sources to measure the advantageous parameters under corresponding conditions.
[0018] The beneficial technical effects of this application include that the ultraviolet light has a shorter wavelength and is relatively easier to focus compared to white light.
[0019] The beneficial technical effects of this application include that under the irradiation of the ultraviolet light wavelength, hemoglobin is sensitive to ultraviolet light, so the hemoglobin parameter can be measured and calculated under ultraviolet light.
[0020] The beneficial technical effects of this application include that obtaining the cell volume based on the above-mentioned stratified images can not only measure parameters but also obtain the cell volume.
[0021] The beneficial technical effects of this application include being able to provide images under two light source illuminations through the combination of light sources with a set of devices, and respectively measure hemoglobin and other parameters.
[0022] The beneficial technical effects of this application include that the device includes a first light source component and a second light source component. With the two light source components, two light source irradiation conditions can be provided while other imaging components remain unchanged. Since the two light sources share other imaging components, when performing parameter comparison calculations, except for the difference in light sources, the consistency of other components is high, and the accuracy of the comparison parameter calculation is higher.
[0023] The beneficial technical effects of this application include that the focal plane adjustment component can adjust both the distance between and the object distance, and can focus very flexibly.
[0024] The beneficial technical effects of this application include that LED lamp bead 1 and LED lamp bead 2 are integrated on a single chip or a single circuit board, and the light source can be switched through simple electronic control, and the mechanical structure is simple. Description of the Drawings
[0025] Figure 1 is one of the flow schematic block diagrams of the parameter formed element detection method;
[0026] Figure 2It is the second flow schematic block diagram of the parameter formed element detection method;
[0027] Figure 3 It is the third flow schematic block diagram of the parameter formed element detection method;
[0028] Figure 4 It is one of the schematic block diagrams of the multi-parameter formed element detection device;
[0029] Figure 5 It is the second schematic block diagram of the multi-parameter formed element detection device;
[0030] Figure 6 It is the wavelength schematic diagram of three-color light. Specific implementation manners
[0031] The following further details the implementation manners of the present application in conjunction with each attached drawing.
[0032] As Figures 1 to 3 shown, a multi-parameter formed element detection method includes TT10: irradiating a sample to be detected with a first light source and adjusting the focal plane to the formed element to be detected; TT20: irradiating the sample to be detected with the first light source and taking an image of the irradiation of the first light source; TT21: performing a first parameter measurement based on the image of the irradiation of the first light source; TT30: irradiating the sample to be detected with a second light source and taking an image of the irradiation of the second light source; TT31: performing a second parameter measurement based on the image of the irradiation of the second light source.
[0033] In some embodiments, the first light source is ultraviolet light with a wavelength range of 380 nm - 440 nm; the second light source is white light. The first parameter is hemoglobin; the second parameter is the number of red blood cells. The first parameter is hemoglobin; the second parameter is the number of white blood cells.
[0034] In some embodiments, the second light source is ultraviolet light with a wavelength range of 380 nm - 440 nm; the first light source is white light. The second parameter is hemoglobin; the first parameter is the number of red blood cells. The second parameter is hemoglobin; the first parameter is the number of white blood cells.
[0035] In some embodiments, irradiate with the first light source, adjust the focal plane to the formed element to be detected, take stratified images of more than 3 focal planes of the detected formed element, and obtain the cell volume based on the above stratified images.
[0036] As Figure 1 shown, in an embodiment of a multi-parameter formed element detection method, after the sample is added to the detection chip, it is irradiated with a first light source for focusing. After the focusing is completed, an image is obtained for the first parameter measurement; then it is irradiated with a second light source for taking a photo, and an image is taken under the irradiation of the second light source for the second parameter measurement or the third parameter measurement.
[0037] As Figures 1 to 3 shown, the sample may include a blood sample, or may be a urine sample or a fecal suspension sample.
[0038] As Figure 2 shown, in an embodiment of a multi-parameter formed element detection method, a blood sample is added, focused with violet light, after focusing is completed, an image is obtained for hemoglobin measurement, and multi-focal plane imaging is performed simultaneously, and then cell volume calculation is performed; then it is irradiated with white light for photographing, and an image is obtained under the irradiation of a second light source for red blood cell recognition counting or white blood cell recognition counting.
[0039] As Figure 3 shown, in an embodiment of a multi-parameter formed element detection method, a blood sample is added, focused with white light, and multi-focal plane imaging is performed simultaneously, and then cell volume calculation is performed; after white light focusing is completed, it is irradiated with white light for imaging and photographing, and an image is obtained for red blood cell recognition counting or white blood cell recognition counting; then it is imaged with violet light, and an image is obtained for hemoglobin measurement.
[0040] As Figures 4 to 5 shown, a multi-parameter formed element detection device includes a camera module, an illumination module, a driving component, and a formed element detection component; the camera module includes a camera component, a lens component, and a focal plane adjustment component; the illumination module includes a first light source component and a second light source component; the driving component includes a focal plane adjustment driving module and an image acquisition module; the formed element detection component includes a formed object detection and analysis module and a human-machine interface component; the human-machine interface component is used to receive external instructions. The formed element detection component is electrically connected to the driving component; the driving component is electrically connected to the camera module; the driving component is electrically connected to the illumination module; the first light source irradiates the sample to be detected, and the focal plane adjustment driving module drives the focal plane adjustment component to adjust the focal plane to the formed element to be detected, and an image irradiated by the first light source is photographed; the image acquisition module acquires the image based on the irradiation of the first light source, and the formed object detection and analysis module performs the first parameter measurement based on the image irradiated by the first light source; the second light source irradiates the sample to be detected, and an image irradiated by the second light source is photographed; the image acquisition module acquires the image based on the irradiation of the second light source, and the formed object detection and analysis module performs the second parameter measurement based on the image irradiated by the second light source.
[0041] The focal plane adjustment component adjusts the distance between the camera component and the lens component; or the focal plane adjustment component adjusts the distance between the lens component and the object to be detected.
[0042] The first light source component in the illumination module is LED lamp bead 1, and the second light source component is LED lamp bead 2. LED lamp bead 1 and LED lamp bead 2 are integrated on a chip or a circuit board.
[0043] The first light source described above is violet light with a wavelength range of 380 nm - 440 nm; the second light source described above is white light; the first parameter is hemoglobin; the second parameter is the number of red blood cells. The first parameter is hemoglobin; the second parameter is the number of white blood cells.
[0044] In the above-mentioned multi-parameter formed element detection device, the second light source is violet light with a range of 380 nm - 440 nm; the first light source described above is white light; the second parameter is hemoglobin; the first parameter is the number of red blood cells; the second parameter is hemoglobin; the first parameter is the number of white blood cells.
[0045] Irradiate with the first light source, adjust the focal plane to the formed elements to be detected, take stratified images of more than 3 focal planes of the detected formed elements, and obtain the cell volume based on the above-mentioned stratified images.
[0046] Such as Figure 6 In the schematic diagram of the wavelength ranges of the three curves from left to right in [reference], they are the wavelength ranges of blue, green, and red monochromatic lights respectively. The first light source is blue light with a first central wavelength range of 455 nm - 492 nm; the second light source is red light with a central wavelength range of 622 nm - 780 nm; or the second light source is green light with a central wavelength range of 492 - 577 nm; or the second light source is mixed white light.
[0047] In embodiments not shown in some of the drawings, the first light source is violet light with a first central wavelength range of 380 nm - 440 nm; the second light source is red light with a second central wavelength range of 622 nm - 780 nm; or the second light source is green light with a second central wavelength range of 492 nm - 577 nm; or the second light source is mixed white light.
[0048] A formed element analyzer is a detection instrument that can be applied to various scenarios, among which blood detection is one of the most important detection items.
[0049] Blood detection includes: red blood cell count, white blood cell count, hemoglobin content detection, etc.
[0050] When counting red blood cells and white blood cells, white light is used for taking pictures; while when detecting hemoglobin content, a separate violet light is required for taking pictures of the area, which takes a long time and affects the time to obtain the results.
[0051] The detection process of the formed element analyzer includes: focusing - taking pictures - AI analysis - report presentation, etc. Among them, the number of focusing times varies from 5 to 15.
[0052] Therefore, the present invention completes the process of obtaining blood detection pictures of the formed element analyzer by using violet light for focusing and then using white light for taking pictures of the area.
[0053] Among them, when the purple light is focused, the obtained picture is used for calculating the hemoglobin content, and the white light area is photographed for counting red blood cells and white blood cells.
[0054] The serial numbers such as the first and the second in this application are only for the convenience of expression, and do not necessarily represent the order relationship in terms of size and time sequence. The alphabetical serial numbers of the steps are also only for the convenience of expression, and do not necessarily represent the order relationship in terms of time sequence.
[0055] Such as Figures 1 to 6 As described above, the above are only the embodiments of this application, and do not limit the patent scope of this application accordingly. Any equivalent structure or equivalent process transformation made by using the content of the invention specification and drawings, or directly or indirectly applied to other related technical fields, shall be included in the patent protection scope of this application by the same token.
Claims
1. A method for detecting multi-parameter formed elements, characterized in that it includes TT10: irradiating a sample to be detected with a first light source and adjusting the focal plane to the formed elements to be detected; TT20: irradiating a sample to be detected with a first light source and taking an image irradiated by the first light source; TT21: based on the image irradiated by the first light source, performing a first parameter measurement; TT30: irradiating a sample to be detected with a second light source and taking an image irradiated by the second light source; TT31: based on the image irradiated by the second light source, performing a second parameter measurement.
2. The multi-parameter formed component detection method according to claim 1, wherein It includes any one of the following technical features: Feature TA10, the first light source is purple light with a wavelength range of 380nm - 440nm; the second light source is white light; Feature TA20, the second light source is purple light with a wavelength range of 380nm - 440nm; the first light source is white light.
3. The multi-parameter formed component detection method according to claim 2, characterized in that, Based on Feature TA10, it includes any one of the following technical features: Feature TB10, the first parameter is hemoglobin; the second parameter is the number of red blood cells; Feature TB20, the first parameter is hemoglobin; the second parameter is the number of white blood cells.
4. The multi-parameter formed component detection method according to claim 2, characterized in that Based on Feature TA20, it includes any one of the following technical features: Feature TC10, the second parameter is hemoglobin; the first parameter is the number of red blood cells; Feature TC20, the second parameter is hemoglobin; the first parameter is the number of white blood cells.
5. The method for detecting multi-parameter formed elements according to claim 2, characterized in that irradiating with the first light source, adjusting the focal plane to the formed elements to be detected, taking stratified images of more than 3 focal planes of the detected formed elements, and obtaining the cell volume based on the stratified images.
6. A multi-parameter formed element detection device, characterized in that it includes a camera module, an illumination module, a driving component, and a formed element detection component; The camera module includes a camera component, a lens component, and a focal plane adjustment component; The illumination module includes a first light source component and a second light source component; The driving component includes a focal plane adjustment driving module and an image acquisition module; The formed element detection component includes a formed object detection and analysis module; The formed element detection component is electrically connected to the driving component; the driving component is electrically connected to the camera module; the driving component is electrically connected to the illumination module; irradiating a sample to be detected with a first light source, the focal plane adjustment driving module drives the focal plane adjustment component to adjust the focal plane to the formed elements to be detected, and takes an image irradiated by the first light source; the image acquisition module acquires the image irradiated by the first light source, and the formed object detection and analysis module performs a first parameter measurement based on the image irradiated by the first light source; irradiating a sample to be detected with a second light source, taking an image irradiated by the second light source; the image acquisition module acquires the image irradiated by the second light source, and the formed object detection and analysis module performs a second parameter measurement based on the image irradiated by the second light source.
7. The multi-parameter formed component detection device according to claim 6, wherein The focal plane adjustment component adjusts the distance between the camera component and the lens component; or the focal plane adjustment component adjusts the distance between the lens component and the object to be detected.
8. The multi-parameter formed element detection device according to claim 6, characterized in that The first light source component in the lighting module is LED lamp bead 1, and the second light source component is LED lamp bead 2. LED lamp bead 1 and LED lamp bead 2 are integrated on a single chip or a single circuit board.
9. The multi-parameter formed element detection device according to claim 6, wherein the first light source is violet light with a wavelength range of 380 nm - 440 nm; the second light source is white light; and it includes any one of the following technical features: Feature TD10, the first parameter is hemoglobin; the second parameter is the number of red blood cells; Feature TD20, the first parameter is hemoglobin; the second parameter is the number of white blood cells.
10. The multi-parameter formed element detection device according to claim 7, wherein the second light source is violet light with a range of 380 nm - 440 nm; the first light source is white light; and it includes any one of the following technical features: Feature TE10, the second parameter is hemoglobin; the first parameter is the number of red blood cells; Feature TE20, the second parameter is hemoglobin; the first parameter is the number of white blood cells.
11. The multi-parameter formed element detection device according to claim 6, wherein irradiate with the first light source, adjust the focal plane to the formed element to be detected, take layered images of more than 3 focal planes of the detected formed element, and obtain the cell volume based on the layered images.