CN220819750U - Blood urine manure has component detection device and multi-parameter to have component detection chip - Google Patents
Blood urine manure has component detection device and multi-parameter to have component detection chip Download PDFInfo
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Abstract
The blood urine and urine feces forming component detection device and the multiparameter forming component detection chip comprise a detection type control component, a forming component detection component and a front end component; the front end component comprises a sliding table module, a camera module and a detection chip; the formed component detection assembly comprises a focusing control module and an image acquisition module; the detection chip comprises a sample accommodating cavity to be detected, and the detection sample accommodating cavity is used for accommodating the sample to be detected; the slipway module adjusts the distance between the camera module and the detection chip; the camera module is used for shooting an image of a sample to be detected in the sample accommodating cavity; the focusing control module controls the sliding table module to adjust the distance between the camera shooting module and the detection chip; the image acquisition module acquires an image shot by the camera module; different detection focusing methods and focusing parameters are set according to different detection objects. Different focusing modes and different focal planes are selected. Breaks through the limitation that in the prior art, one device can only be used for one sample.
Description
Technical Field
The application belongs to the technical field of analysis of visible components based on microscopic amplified images, and particularly relates to detection and analysis of various samples.
Background
In the prior art, the detection and analysis of blood, urine and fecal suspensions are respectively provided with own exclusive instruments and analysis methods, various expensive detection equipment is required to be configured in hospitals, and operators of clinical departments are required to learn the working principles and operation skills of various equipment. This brings not only equipment procurement cost pressure and operating pressure to the hospital.
With the development of pet economy, pet hospitals are more and more, in one pet hospital, the conditions that 2 or more species need to be detected simultaneously are very many, the same species also have a plurality of detection projects, and the pet hospital needs to have cross-species and cross-function detection equipment.
Disclosure of Invention
In the application, the applicant provides a blood urine and feces formed component detection device and method, and different detection focusing methods and focusing parameters are set according to different detection objects. Different focusing modes and different focal planes are selected. Breaks through the limitation that in the prior art, one device can only be used for one sample.
In the application, the applicant provides a multiparameter component detection chip, and the chip supports the detection of the tangible matters of various samples of blood, urine and feces. Breaks through the limitation that one chip can only be used as one sample in the prior art.
The application solves the technical proposal that the application is a blood urine manure forming component detection device, which comprises a detection type control component, a forming component detection component and a front end component; the front end component comprises a sliding table module, a camera module and a detection chip; the formed component detection assembly comprises a focusing control module and an image acquisition module; the detection chip comprises a sample accommodating cavity to be detected, and the detection sample accommodating cavity is used for accommodating the sample to be detected; the slipway module adjusts the distance between the camera module and the detection chip; the camera module is used for shooting an image of a sample to be detected in the sample accommodating cavity; the focusing control module controls the sliding table module to adjust the distance between the camera shooting module and the detection chip; the image acquisition module acquires an image shot by the camera module; including any two or more of the following functions: the detection type control component comprises a blood detection control module, the blood detection control module inputs blood detection focusing parameters into the focusing control module, and the focusing control module controls and adjusts the distance between the camera shooting module and the detection chip according to the blood detection focusing parameters; the image acquisition module acquires an image shot by the camera module, wherein the image comprises a blood cell image; the detection type control component comprises a urine detection control module, the urine detection control module inputs urine detection focusing parameters into the focusing control module, and the focusing control module controls and adjusts the distance between the camera module and the detection chip according to the urine detection focusing parameters; the image acquisition module acquires an image shot by the camera module, wherein the image comprises an image of a tangible component in urine; the detection type control component comprises a fecal suspension detection control module, wherein the fecal suspension detection control module inputs a fecal suspension detection focusing parameter into the focusing control module, and the focusing control module controls and adjusts the distance between the camera module and the detection chip according to the fecal suspension detection focusing parameter; the image acquisition module acquires an image shot by the camera module, wherein the image comprises an image of a tangible component in the fecal suspension.
The device comprises a blood detection component, a urine detection component, a fecal suspension detection component, a control input component and a detection type control component, wherein the blood detection component, the urine detection component and/or the fecal suspension detection component are/is displayed through the display component; the control input component inputs selection, and the blood-urine-feces forming component detection device performs a selected function according to the input of the control input component.
The blood detection control module comprises a leukocyte focusing method and focusing parameters, wherein the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 3.0 microns and less than 6.0 microns from the bottom of the sample accommodating cavity; the blood detection control module comprises a red blood cell focusing method and focusing parameters, wherein the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 1.0 microns and less than 8.0 microns from the bottom of the sample accommodating cavity; the blood detection control module may include a platelet focusing method and a focusing parameter, wherein the focusing method is that the bottom of the sample accommodating cavity is shifted upwards, and the focal plane is greater than 0.8 microns and less than 2.0 microns from the bottom of the sample accommodating cavity.
The urine detection control module comprises a cell focusing method and focusing parameters, wherein the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 1.0 microns and less than 6.0 microns from the bottom of the sample accommodating cavity; the urine detection control module comprises a crystal focusing method and focusing parameters, wherein the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 3.0 microns and less than 6.0 microns from the bottom of the sample accommodating cavity; the urine detection control module comprises a tubular object focusing method and focusing parameters, wherein the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 3.0 microns and less than 6.0 microns away from the bottom of the sample accommodating cavity; the urine detection control module may include a fat particle focusing method and a focusing parameter, wherein the focusing method is that the top of the sample accommodating cavity is offset downwards, and the focal plane is greater than 1.0 micron and less than 2.0 microns from the top of the sample accommodating cavity.
The fecal suspension detection control module comprises a bacterial focusing method and focusing parameters, wherein the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 0.2 microns and less than 1.0 microns away from the bottom of the sample accommodating cavity; the fecal suspension detection control module comprises a cell focusing method and focusing parameters, wherein the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 1.0 micron and less than 6.0 microns away from the bottom of the sample accommodating cavity; the fecal suspension detection control module comprises an insect egg focusing method and focusing parameters, wherein the focusing method is that the bottom of a sample accommodating cavity is upwards deviated, and the distance between a focal plane and the sample accommodating cavity is more than 10 microns and less than 13 microns; the fecal suspension detection control module may include a fat particle focusing method and a focusing parameter, wherein the focusing method is that the top of the sample accommodating cavity is offset downwards, and the focal plane is greater than 1.0 micron and less than 2.0 microns from the bottom of the sample accommodating cavity.
The detection type control component sends the image to an AI cloud server, and an AI graph analysis module in the AI cloud server analyzes, identifies and finds out an object to be detected; and the AI cloud server sends the found object to be detected to the detection type control component. The camera module and the sliding table module form a camera assembly, and the sliding table module drives the camera module to be close to or far away from the detection chip. The vibration detection device comprises a bearing assembly and a vibration detection module, wherein the vibration detection module is positioned on the bearing assembly; the detection chip is placed on the bearing component, the sliding table module drives the detection chip to be close to or far away from the camera module, and the vibration detection module detects vibration information in the bearing component.
It may further comprise a species control component comprising the functions of any two or more of: the dog blood detection and focusing control system comprises a dog detection control module, wherein the dog detection control module comprises a dog blood detection and focusing control method and focusing control parameters; the dog detection control module comprises a dog urine detection focusing control method and focusing control parameters; the device comprises a dog detection control module, wherein the dog detection control module comprises a dog fecal suspension detection focusing control method and focusing control parameters; the cat blood detection focusing control system comprises a cat detection control module, wherein the cat detection control module comprises a cat blood detection focusing control method and focusing control parameters; the cat detection control module comprises a cat urine detection focusing control method and focusing control parameters; the cat detection control module comprises a cat fecal suspension detection focusing control method and focusing control parameters; the device comprises a crawling type blood detection and focusing control module, wherein the crawling type blood detection and focusing control module comprises a crawling type blood detection and focusing control method and focusing control parameters; the device comprises a crawling type detection control module, wherein the crawling type detection control module comprises a crawling type fecal suspension detection focusing control method and focusing control parameters.
A species control component may also be included, the species control component comprising the functionality of any two or more of: the dog detection control module comprises a dog blood AI pattern recognition training set; the dog detection control module comprises a dog urine AI pattern recognition training set; the dog detection control module comprises a dog fecal suspension AI pattern recognition training set; the cat detection control module comprises a cat blood AI pattern recognition training set; the cat detection control module comprises a cat urine AI pattern recognition training set; the cat detection control module comprises a cat fecal suspension detection AI pattern recognition training set; the system comprises a crawling type blood AI pattern recognition training set, a crawling type blood AI pattern recognition training set and a crawling type blood AI pattern recognition training set, wherein the crawling type blood AI pattern recognition training set comprises a crawling type blood AI pattern recognition training set; the automatic identification device comprises a crawling detection control module, wherein the crawling detection control module comprises a crawling fecal suspension AI pattern identification training set.
The chip information reading device comprises a chip information reading component, wherein the detection chip comprises detection type information and chip number information; the chip information reading component can read the detection type information and the chip number information.
The chip information reading component comprises a code identification module, the detection chip comprises a stickable code sticker, the code identification module can identify code sticker information, and the code sticker information comprises detection type information and chip number information. The coded sticker can be a two-dimensional code or bar code information.
The chip information reading component comprises a photoelectric information identification module, the detection chip comprises a modifiable identification window, and the photoelectric information identification module can identify whether the identification window is smeared or covered.
The identification window may include a species identification window, a detection identification window; the species identification window includes functions of any two or more of: the species identification window may include a dog identification window; the species identification window may include a cat identification window; the species identification window may include a crawler identification window; the detection and identification window comprises any two of the following technical characteristics: the detection and identification window may include a blood detection and identification window; the detection and identification window may include a urine detection and identification window; the detection and recognition window may include a fecal suspension detection and recognition window.
A multi-parameter component detection method comprises the following steps: the detection type input is used for inputting detection type information into the multiparameter tangible component detection equipment; step A40: setting focusing parameters according to the detection type, and setting a focusing method and focusing parameters by the multi-parameter formed component detection equipment according to the input detection type; step A50: executing focusing, and focusing according to the focusing method and the focusing parameters; step A60: acquiring an image, and shooting to acquire a microscopic image; step A70: and analyzing and identifying the components to be detected, analyzing and identifying the microscopic image, and finding out the object to be detected.
The method may further include, before step a 30: step A20: and inputting the species information to be detected, and inputting the species information of the detected sample into the multiparameter tangible component detection equipment.
In step a20, the information of the detection species may be obtained by reading the information on the detection chip.
In step a30, the information on the detection chip is read to obtain the detection type information.
May include any of the following functions: the detection type in the step A30 comprises blood detection information, the blood detection information comprises red blood cell detection information, and in the step A40, the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 1.0 micron and less than 8.0 microns away from the bottom of the sample accommodating cavity; the detection type in the step A30 comprises blood detection information, the blood detection information comprises detection leukocyte information, and in the step A40, the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 3.0 micrometers and less than 6.0 micrometers away from the bottom of the sample accommodating cavity; the detection type in step a30 includes blood detection information including platelet detection information, and the focusing method in step a40 is that the bottom of the sample accommodating cavity is shifted upwards, and the focal plane is greater than 0.8 microns and less than 2.0 microns from the bottom of the sample accommodating cavity.
The multi-parameter formed component detection method comprises any one of the following technical characteristics: the detection type in the step A30 comprises urine detection information, the urine detection information comprises detection cell information, and in the step A40, the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 1.0 micron and less than 6.0 microns away from the bottom of the sample accommodating cavity; the detection type in the step A30 comprises urine detection information, the urine detection information comprises detection crystal information, and in the step A40, the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 3.0 microns and less than 6.0 microns from the bottom of the sample accommodating cavity; the detection type in the step A30 comprises urine detection information, the urine detection information comprises detection tubular object information, and in the step A40, the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 3.0 micrometers and less than 6.0 micrometers away from the bottom of the sample accommodating cavity;
The detection type in the step A30 comprises urine detection information, the urine detection information comprises fat particle detection information, and in the step A40, the focusing method is that the top of the sample accommodating cavity is downwards shifted, and the focal plane is more than 1.0 micron and less than 2.0 microns away from the top of the sample accommodating cavity.
May include any of the following functions: the detection type in the step A30 comprises fecal suspension detection information, the fecal suspension detection information comprises detection bacterial information, and in the step A40, the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 0.2 microns and less than 1.0 microns from the bottom of the sample accommodating cavity; the detection type in the step A30 comprises fecal suspension detection information, the fecal suspension detection information comprises detection cell information, and in the step A40, the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 1.0 micron and less than 6.0 microns from the bottom of the sample accommodating cavity; the detection type in the step A30 comprises fecal suspension detection information, the fecal suspension detection information comprises egg detection information, and in the step A40, the focusing method is that the bottom of a sample accommodating cavity is upwards deviated, and the focal plane is more than 10 microns and less than 13 microns from the bottom of the sample accommodating cavity; the detection type in the step A30 comprises fecal suspension detection information, the fecal suspension detection information comprises detection fat particle information, and the focusing method in the step A40 comprises that the bottom of a sample accommodating cavity is upwards deviated, and the focal plane is more than 1.0 micrometer and less than 2.0 micrometers away from the bottom of the sample accommodating cavity.
May include any of the following functions: the species information input in the step A20 is dog class, and the detection type input in the step A20 is blood; the species information input in the step A20 is dog class, and the detection type input in the step A20 is urine; the species information input in the step A20 is dog species, and the detection type input in the step A20 is fecal suspension.
The multi-parameter formed component detection method can be any one of the following functions: the species information input in the step A20 is cat species, and the detection type input in the step A20 is blood; the species information input in the step A20 is cat type, and the detection type input in the step A20 is urine; the species information input in the step A20 is cat species, and the detection type input in the step A20 is fecal suspension.
May include any of the following functions: the species information input in the step A20 is a reptile, and the detection type input in the step A20 is blood; the species information input in the step A20 is a reptile, and the detection type input in the step A20 is a fecal suspension.
The multi-parameter formed component detection chip comprises a to-be-detected sample accommodating cavity, wherein the to-be-detected sample accommodating cavity is used for accommodating a liquid to-be-detected sample; the detection chip comprises one or two or more photoelectric sensing windows, the photoelectric sensing windows can change color or state, external equipment can sense the color or state change through a photoelectric sensor, and the photoelectric sensing windows are used for identifying the detection type of a sample to be detected.
The photo-sensing window may be used to identify species information to which the sample to be detected belongs. The species information may include any two or more of the following species: cats, dogs, reptiles. The detection type may comprise any two or more of the following species: blood, urine, fecal suspension. The photoelectric sensing window may be made of a transparent material, and the dye may cover the sensing window. The photoelectric sensing window is made of a thin film material, and the photoelectric sensing performance can be changed by puncturing the thin film material. The photo-sensing window may be covered with a dye that can be removed to alter the sensing properties of the photo-sensing window. The photo-sensing window may be capable of being painted to change color.
The technical effect 1 of the technical scheme is that: blood, urine and fecal suspension can be added into the same detection chip, and different focusing modes and different focusing planes are selected according to different samples, so that the limitation that one device can only be used for one sample in the prior art is broken through.
The technical effect 2 of the technical scheme is as follows: according to the distribution rule of different components to be detected, the existence and the quantity of the components to be detected can be given out as long as the set focal plane position is searched and other parts are not required to be searched, so that the detection time and the detection difficulty are greatly reduced.
The technical effect 3 of the technical scheme is that: the focusing parameters are adjusted according to different detection targets, so that two or more types of detection can be realized by one device, and a great deal of equipment cost is saved for a user.
The technical effect 4 of the technical scheme is that: the focusing control parameters are integrated into different control modules, so that a user does not need to record or control a large number of focusing parameters and operations, and the use difficulty of the user is greatly reduced.
The technical effect 5 of the technical scheme is as follows: the diameter range of different cells is different, the focal plane of different cells is basically at the center point position, when the focal plane of a camera is aligned to the position, the obtained image is the most accurate, and the accurate image is provided, so that the information such as the volume of the cells can be obtained.
The technical effect 6 of the technical scheme is that: the fat particles float on the upper layer of the cavity, and if the height of the cavity is 200 micrometers, the fat particles move downwards from the upper layer of the cavity by 1.5 micrometers and can reach the focusing focal plane of the fat particles.
The technical effect 7 of the technical scheme is as follows: and sending the image to an AI cloud server, analyzing, identifying and finding out the object to be detected by an AI graph analysis module in the AI cloud server, and placing calculation in a background server to reduce the complexity of the equipment.
The technical effect 8 of the technical scheme is that: according to different species, different detection objects adjust the focusing method and focusing parameters, so that the detection precision and detection time can be improved.
The technical effect 9 of the technical scheme is that: according to different species, different detection objects train the AI model, and the identification accuracy of the AI can be greatly improved.
The technical effect 10 of the technical scheme is as follows: in one device, a plurality of species and a plurality of detection items are integrated, so that the inspection cost of the device can be greatly reduced, and meanwhile, the work difficulty of a doctor in a pet hospital is also reduced.
The technical effect 11 of the technical scheme is as follows: the detection chip comprises detection type information and chip number information; the chip information reading component can read the detection type information and the chip number information, and the operation complexity of the device is greatly reduced.
The technical effects 12 of the technical scheme are as follows: the chip information reading component comprises a photoelectric information identification module, the detection chip comprises a modifiable identification window, the photoelectric information identification module can identify whether the identification window is coated or not, the chip information reading component can be manually operated and filled with information, the operation complexity is greatly reduced, and meanwhile, the flexibility is not lost;
The technical effect 13 of the technical scheme is that: the chip adopts the photoelectric information window capable of being rewritten manually, key information is simply and rapidly input into the machine, errors are not easy to occur, and the working efficiency is improved.
Drawings
FIG. 1 is a functional block diagram of a blood-urine feces formation component detection device;
FIG. 2 is a functional block diagram of a blood-urine-feces formation component detection device with an input and display assembly;
FIG. 3 is a schematic diagram of a functional block diagram of a blood-urine-feces-formed-component detecting device capable of being externally connected with a server;
FIG. 4 is a functional block diagram of a blood-urine feces formation component detection device;
FIG. 5 is a functional block diagram of a blood-urine feces formation component detection device;
FIG. 6 is a functional block diagram of a blood-urine-feces forming-fraction detecting device with a chip information reading assembly;
FIG. 7 is a schematic diagram of a detection chip with chip class information;
FIG. 8 is a schematic diagram of a detection chip with species and detection class information;
FIG. 9 is a schematic diagram showing the identification status of a detection chip with species and detection class information;
FIG. 10 is a schematic diagram of a detection chip with species, detection category information, bar code coding information;
FIG. 11 is a schematic diagram of a detection chip with species and detection class information;
FIG. 12 is a schematic diagram showing the identification status of a detection chip with species and detection class information;
FIG. 13 is a schematic diagram of a method for detecting blood-urine feces formation;
FIG. 14 is a schematic diagram of a method for detecting blood-urine feces formation;
FIG. 15 is a schematic diagram of a method for detecting blood-urine feces formation;
FIG. 16 is a schematic diagram of a method for detecting blood-urine feces formation;
FIG. 17 is a schematic diagram of a method for detecting blood-urine feces formation;
FIG. 18 is a schematic focusing diagram of detecting the cell sedimentation status of a blood sample within a chip receiving cavity;
FIG. 19 is a schematic focusing diagram of various to-be-detected physical objects in the urine sediment state in the detection chip accommodating cavity;
Fig. 20 is a schematic focusing diagram of various physical objects to be detected in the fecal suspension precipitation state in the detection chip accommodation cavity.
Detailed Description
The present application is described in further detail below with reference to the accompanying drawings. The following description of the preferred embodiments of the present application is not intended to limit the present application. The description of the preferred embodiments of the present application is merely illustrative of the general principles of the application. The numbers "first", "second" and "a" and "B" in the present application are for convenience of description only, and do not represent a time or space sequence relationship, and the combination of letters and numbers "TA", "TB" and "H" in the present application are for convenience of description only, and the specific meaning is determined by the specific vocabulary referred to.
Referring to FIG. 1, a blood-urine-feces-with-formation-component detection device comprises a detection type control component, a formation-component detection component and a front-end component; the front end component comprises a sliding table module, a camera module and a detection chip; the formed component detection assembly comprises a focusing control module and an image acquisition module; the detection chip comprises a sample accommodating cavity to be detected, and the detection sample accommodating cavity is used for accommodating the sample to be detected; the slipway module adjusts the distance between the camera module and the detection chip; the camera module is used for shooting an image of a sample to be detected in the sample accommodating cavity; the focusing control module controls the sliding table module to adjust the distance between the camera shooting module and the detection chip; the image acquisition module acquires an image shot by the camera module.
The detection type control component comprises a blood detection control module, the blood detection control module inputs blood detection focusing parameters into the focusing control module, and the focusing control module controls and adjusts the distance between the camera shooting module and the detection chip according to the blood detection focusing parameters; the image acquisition module acquires an image shot by the camera module, wherein the image comprises a blood cell image.
The detection type control component comprises a urine detection control module, the urine detection control module inputs urine detection focusing parameters into the focusing control module, and the focusing control module controls and adjusts the distance between the camera module and the detection chip according to the urine detection focusing parameters; the image acquisition module acquires an image shot by the camera module, wherein the image comprises an image of a tangible component in urine.
The detection type control component comprises a fecal suspension detection control module, wherein the fecal suspension detection control module inputs a fecal suspension detection focusing parameter into the focusing control module, and the focusing control module controls and adjusts the distance between the camera module and the detection chip according to the fecal suspension detection focusing parameter; the image acquisition module acquires an image shot by the camera module, wherein the image comprises an image of a tangible component in the fecal suspension.
The applicant develops a forming component detection device, a to-be-detected object is suspended in a to-be-detected sample, the to-be-detected sample is suspension liquid, and different from a traditional microscopic smear, each to-be-detected object is in the suspension liquid, because of different specific gravities and different volumes, focusing is needed when a high-power microscopic magnifier amplifies microscopic shot images, because the magnification is large, the shot images can only obtain clear images at the position of a focal plane, and the applicant performs a large amount of experiments to find out that the detection of blood, urine and excrement suspension liquid is needed to adjust different focal planes. Blood, urine and fecal suspension can be added to the same test chip, but different focusing modes and different focal planes are selected according to different samples. Breaks through the limitation that in the prior art, one device can only be used for one sample.
The detection chip is used for accommodating detection samples, imaging of an object to be detected, a microscope is required to shoot an image, the visible components are required to be searched, the focusing focal plane is required to be continuously adjusted, shooting is carried out, and searching work is required. Through a large number of experiments, the applicant basically feels clear about the distribution rule of various formed components, and can give whether the formed components to be detected exist and the quantity of the formed components exist according to the distribution rule of different formed components to be detected, so that the detection time and difficulty are greatly reduced as long as the set focal plane position is searched and other parts are not required to be searched as focusing targets.
Each kind of physical detection needs a very large number of parameters to be regulated, such as blood at least comprises red blood cells, white blood cells and platelets, different blood cells, has a unique detection focal plane, needs a large number of parameters to be accurately regulated, and different AI recognition models are needed for different images of the blood cells; in urine, the detected formed parts comprise cells, crystals and tubes, and each component also has different detection focal planes and different focusing modes; the components of the to-be-detected physical matters in the excrement suspension are complex, and the to-be-detected physical matters have cells or eggs with bottoms, and also have floating eggs, food residues and the like.
The applicant finds out that a plurality of detection types can share the same detection chip, and can adjust focusing parameters according to different detection targets with formation components, so that one device can realize two or more detection, and a great amount of equipment cost is saved for users.
The focusing control parameters are integrated into different control modules, so that a user does not need to record or control a large number of focusing parameters and operations, and the use difficulty of the user is greatly reduced. The user can select two or more modules to realize two or more functions of one device according to the requirements.
As in fig. 2: the device also comprises a display component and a control input component, wherein the detection type control component displays a blood detection function, a urine detection function and/or a fecal suspension detection function through the display component; the control input component inputs selection, and the blood-urine-feces forming component detection device performs a selected function according to the input of the control input component.
The control input component can be a keyboard or touch control input, and after the user selects the function, the detection device controls and executes different focusing programs by using different focusing parameters according to the user selection, so that the operation difficulty of the user is greatly reduced.
The blood detection control module comprises a white blood cell focusing method and focusing parameters, wherein the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 3.0 microns and less than 6.0 microns from the bottom of the sample accommodating cavity;
The blood detection control module comprises a red blood cell focusing method and focusing parameters, wherein the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 1.0 microns and less than 8.0 microns from the bottom of the sample accommodating cavity;
The blood detection control module comprises a platelet focusing method and focusing parameters, wherein the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 0.8 microns and less than 2.0 microns from the bottom of the sample accommodating cavity.
TABLE 1
As shown in Table 1, platelets are the smallest of blood cells, are much smaller than red blood cells and white blood cells, have an average diameter of only 2-4 μm, and have a volume size of platelets of large animals, humans, small animals and reptiles, and when the platelets are detected, the platelets are at the bottom, the platelets are searched from the bottom upwards, clear images of the platelets can be found faster, and if the focal plane is within more than 0.8 microns and less than 2.0 microns, images of the platelets cannot be found, meaning that a sample is problematic, or that a tested person and platelets are problematic.
Considering different species, the normal range of the diameter of the red blood cells is 6-9 mu m, but the normal range of the diameter of the red blood cells is less than 6 mu m, and the normal values of different animals are shown in table 1, when the red blood cells are detected, the red blood cells are settled, the red blood cells are searched from the bottom to the top, clear images of the red blood cells can be found quickly, and if the focal plane is more than 1 mu m and less than 8 mu m, images of blood platelets cannot be found, which means that a sample has a problem, or a tested person and the red blood cells have a problem.
Considering different species, the normal range of the diameter of the white blood cells is 7-12 mu m, the normal values of different animals are shown in table 1, when the white blood cells are detected, the white blood cells are settled, the white blood cells can be found from the bottom to the top, clear images of the white blood cells can be found quickly, if the focal plane is more than 3 microns and less than 6 microns, the images of the white blood cells can not be found, which means that the problem occurs in a sample or the problem occurs in the white blood cells of a tested person.
Fig. 18 is a schematic diagram of a stable state of a blood sample of a feline, in which erythrocytes, platelets and leukocytes are deposited at the bottom of a cavity, different cells have different diameter ranges, focal planes of different cells are substantially at a center point, and when the focal planes of a camera are aligned with the center point, an obtained image is the most accurate, and information such as the volume of the cells can be obtained, and if focusing is inaccurate, even if the image of the cells is obtained, the appearance characteristics and the volume of the cells cannot be accurately measured. It is therefore necessary to accurately adjust the focal plane of the camera. As shown in fig. 18, the number of white blood cells is small, the volume is large, the focal plane position is P13, when the focal plane is aligned with P13, the images of red blood cells and platelets are virtual, at this time, the clearest image is white blood cells, and when AI software processes and analyzes, the number, volume and classification information of white blood cells can be accurately calculated.
When the focal plane is aligned with P12, the focal plane of red blood cells can be aligned more accurately, and the distance between P12 and the bottom is 1.0 micrometer, so that the virtual images of white blood cells can be separated better. When the focal plane is aligned with P11, the focal plane of the platelet can be aligned more accurately, the distance between P11 and the bottom is 0.6 microns, at this time, the virtual images of the white blood cells can be separated better, the difference between the red blood cells and the platelets is not large, but the platelets can be distinguished well through AI software learning treatment.
The urine detection control module comprises a cell focusing method and focusing parameters, wherein the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 1.0 microns and less than 6.0 microns away from the bottom of the sample accommodating cavity;
The urine detection control module comprises a crystal focusing method and focusing parameters, wherein the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 3.0 microns and less than 6.0 microns away from the bottom of the sample accommodating cavity;
The urine detection control module comprises a tubular object focusing method and focusing parameters, wherein the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 3.0 microns and less than 6.0 microns away from the bottom of the sample accommodating cavity;
The urine detection control module can also comprise a fat particle focusing method and a focusing parameter, wherein the focusing method is that the top of the sample accommodating cavity is downwards offset, and the focal plane is more than 1.0 microns and less than 2.0 microns from the top of the sample accommodating cavity.
TABLE 2
As shown in Table 2, the thickness of the chip cavity is 200um, urine is detected, a plurality of objects to be detected are detected, the main objects to be detected are cells, crystals, tubular objects and fat particles, each object to be detected has different diameter distribution ranges, and Table 2 shows the most common focal plane deviation of various objects to be detected. The fat particles float on the upper layer of the cavity, if the height of the cavity is 200 micrometers, the upper layer of the cavity moves downwards by 1.5 micrometers, and can reach the focusing focal plane of the fat particles, or the bottom of the cavity moves upwards by 147 micrometers, so that the focusing focal plane can be reached. The stepping motor drives the microscopic camera to move, the step number is 1 micron in 16 steps, if the bottom layer is upwards moved for 2350 steps, namely 147 microns, the bottom surface is upwards moved due to refraction of light in the liquid, and the number of steps for moving is small; if going down 24 steps from the top layer, i.e. 1.5 microns, the top surface is not liquid refracting and therefore not going upwards.
As shown in fig. 19, which is a schematic diagram of a stable state of a urine sample of a feline, cells, crystals and a tube form substance are precipitated at the bottom of a cavity, fat particles float at the upper part of the cavity, the diameter ranges of different cells are different, focal planes of different cells are basically at the center point position, when the focal planes of a camera are aligned with the position, an obtained image is the most accurate, an accurate image is provided, information such as the volume of the cells can be obtained, and if focusing is inaccurate, even if the image of the cells is obtained, the appearance characteristics and the volume of the cells cannot be accurately measured. It is therefore necessary to accurately adjust the focal plane of the camera. As shown in fig. 19, the focal plane position of the cell is P21, and when the focal plane is aligned with P21, other images are blurred, and the most clear image is obtained, the number, volume and classification information of the cell can be accurately calculated when the AI software processes and analyzes the image. When the focal plane is aligned to P22, the large crystalline focal plane can be aligned more accurately, P12 being 5.0 microns from the bottom. When the focal plane is aligned to P23, the large crystalline focal plane can be aligned more accurately, P23 being 6.0 microns from the bottom. When the focal plane is aligned with P24, the focal plane of the fat particles can be aligned more accurately, P24 being 1.5 microns from the top.
TABLE 3 Table 3
The fecal suspension detection control module comprises a bacterial focusing method and focusing parameters, wherein the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 0.2 microns and less than 1.0 microns from the bottom of the sample accommodating cavity; the fecal suspension detection control module comprises a cell focusing method and focusing parameters, wherein the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 1.0 microns and less than 6.0 microns from the bottom of the sample accommodating cavity; the fecal suspension detection control module comprises an insect egg focusing method and focusing parameters, wherein the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 10 microns and less than 13 microns from the sample accommodating cavity; the fecal suspension detection control module comprises a fat particle focusing method and focusing parameters, wherein the focusing method is that the top of the sample accommodating cavity is downwards deviated, and the focal plane is more than 1.0 microns and less than 2.0 microns from the bottom of the sample accommodating cavity.
The fat particles float on the upper layer of the fecal suspension, the thickness of the chip is 200um, a stepping motor drives a microscopic camera to move, the step number of steps is 1 micron in 16, if 2350 steps, namely 147 microns, are upwards taken from the bottom layer, the bottom surface is upwards caused by refraction of light in the liquid, and the moving steps are less; if going down 24 steps from the top layer, i.e. 1.5 microns, the top surface is not liquid refracting and therefore not going upwards.
As shown in Table 3, the fecal suspension was tested for a variety of substances to be tested, including bacteria, cells, eggs, and fat particles, and the main substances were cells, crystals, tubes, and fat particles, each having a different diameter distribution range, and Table 3 shows the most common focal plane shifts for the various substances.
As shown in fig. 20, which is a schematic diagram of a state of a stable fecal suspension of a feline, bacteria, cells and eggs are deposited at the bottom of a cavity, fat particles float at the upper part of the cavity, the diameter ranges of different cells are different, focal planes of different cells are basically at the center point position, when the focal planes of a camera are aligned with the position, the obtained images are the most accurate, accurate images are provided, information such as the volume of the cells can be obtained, and if focusing is inaccurate, even if the images of the cells are obtained, the appearance characteristics and the volume of the cells cannot be accurately measured. It is therefore necessary to accurately adjust the focal plane of the camera. When the focal plane is aligned with P31, the focal plane of the bacteria can be aligned more accurately, P31 being 0.5 microns from the bottom. When the focal plane is aligned with P32, the focal plane of the cell can be aligned more accurately, and the distance between P32 and the bottom is 2.0 micrometers. When the focal plane is aligned with P33, the focal plane of the eggs can be aligned more accurately, and P33 is 12 microns from the bottom. When the focal plane is aligned with P34, the focal plane of the fat particles can be aligned more accurately, P34 being 1.5 microns from the top.
As shown in fig. 3, the detection type control component sends an image to an AI cloud server, and an AI graphic analysis module in the AI cloud server analyzes, identifies and finds out an object to be detected; and the AI cloud server sends the found object to be detected to the detection type control component.
The effective images are sent to the AI cloud server for AI graphic processing, so that the complexity of forming the partial detection device software can be reduced, the AI cloud server can be a single server or a cloud server cluster, an AI graphic analysis module of the AI cloud server can be upgraded as required, the upgrade and the optimization can be continuously carried out, the recognition rate is improved, and recognition objects are newly increased and solved.
As shown in fig. 3, the camera module and the sliding table module form a camera assembly, and the sliding table module drives the camera module to be close to or far away from the detection chip. The camera module is driven by the sliding table module to adjust the position of the focal plane of the camera in the camera module in the detection chip, the image obtained by the camera module is the most clear at the focal plane position, and when the magnification of the microscopic camera is about 40 times, the images at different layering positions can be accurately obtained through adjustment of the focal plane. The camera module is driven by the sliding table module, and vibration can be controlled inside the camera module well in the process of adjusting the focal plane position, so that the vibration is not easy to transfer to the detection chip.
As shown in fig. 4, the vibration detection device further comprises a bearing assembly and a vibration detection module, wherein the vibration detection module is positioned on the bearing assembly; the detection chip is placed on the bearing component, the sliding table module drives the detection chip to be close to or far away from the camera module, and the vibration detection module detects vibration information in the bearing component. The vibration detection module can detect whether the vibration received by the detection chip exceeds a set value, and effective image acquisition is effectively supported.
As shown in fig. 5, the species control component further comprises any two of the following technical features: the dog blood detection and focusing control system comprises a dog detection control module, wherein the dog detection control module comprises a dog blood detection and focusing control method and focusing control parameters; the dog detection control module comprises a dog urine detection focusing control method and focusing control parameters; the device comprises a dog detection control module, wherein the dog detection control module comprises a dog fecal suspension detection focusing control method and focusing control parameters; the cat blood detection focusing control system comprises a cat detection control module, wherein the cat detection control module comprises a cat blood detection focusing control method and focusing control parameters; the cat detection control module comprises a cat urine detection focusing control method and focusing control parameters; the cat detection control module comprises a cat fecal suspension detection focusing control method and focusing control parameters; the device comprises a crawling type blood detection and focusing control module, wherein the crawling type blood detection and focusing control module comprises a crawling type blood detection and focusing control method and focusing control parameters; the device comprises a crawling type detection control module, wherein the crawling type detection control module comprises a crawling type fecal suspension detection focusing control method and focusing control parameters.
The applicant has found that, through a number of experimental and research analyses, such as table 1, table 2 and table 3, different species, various detected tangible objects, such as different characteristics of cells in blood, different focusing processes when analyzing tangible components based on microscopic images, and adjusting focusing methods and focusing parameters according to the species of the observed object, and training AI models according to the species during image recognition.
The focusing control methods and focusing parameters of different species are integrated into different control modules, so that a user does not need to record or control a large number of focusing parameters and operations, and the use difficulty of the user is greatly reduced. The user can select two or more modules to realize two or more functions of one device according to the requirements.
The species control assembly also comprises any two technical characteristics as follows: the dog detection control module comprises a dog blood AI pattern recognition training set; the dog detection control module comprises a dog urine AI pattern recognition training set; the dog detection control module comprises a dog fecal suspension AI pattern recognition training set; the cat detection control module comprises a cat blood AI pattern recognition training set; the cat detection control module comprises a cat urine AI pattern recognition training set; the cat detection control module comprises a cat fecal suspension detection AI pattern recognition training set; the system comprises a crawling type blood AI pattern recognition training set, a crawling type blood AI pattern recognition training set and a crawling type blood AI pattern recognition training set, wherein the crawling type blood AI pattern recognition training set comprises a crawling type blood AI pattern recognition training set; the automatic identification device comprises a crawling detection control module, wherein the crawling detection control module comprises a crawling fecal suspension AI pattern identification training set.
With the rise of the pet hospitals, one pet hospital needs to be cured by different species, the types and characteristics of the objects to be inspected are greatly different, and in one device, a plurality of species and various detection items are integrated, so that the inspection cost of the device can be greatly reduced, and meanwhile, the work difficulty of a pet doctor is also reduced.
As shown in fig. 6, the device may further include a chip information reading component, where the detection chip includes detection type information and chip number information; the chip information reading component can read the detection type information and the chip number information.
As shown in fig. 7, the chip information reading component may include a code identification module, and the detecting chip includes a attachable code sticker, where the code identification module may identify code sticker information, and the code sticker information includes detecting type information and chip number information.
As shown in fig. 7, the coded sticker may be a two-dimensional code or bar code information. The two-dimensional code or bar code information is available, and can be related to a patient, so that information management is convenient.
As shown in fig. 8, the chip information reading component may include a photoelectric information identifying module, and the detecting chip includes a modifiable identification window, where the photoelectric information identifying module may identify whether the identification window is covered by smearing.
The universal chip is adopted to detect different species, cats, dogs and reptiles are shown in the figure, different species such as people, parrots and other specific information can be identified according to specific application, different species and different detection objects are identified, and the modifiable identification window is adopted, so that different detection objects can be conveniently identified by detection personnel, and operation and management are facilitated.
As shown in fig. 8 and 9, as shown in fig. 10 and 11, as shown in fig. 12, the identification window comprises a species identification window and a detection identification window; the species identification window includes any two of: the species identification window may include a dog identification window; the species identification window may include a cat identification window; the species identification window may include a crawler identification window; the detection and identification window packet comprises any two of the following: the detection and identification window may include a blood detection and identification window; the detection and identification window may include a urine detection and identification window; the detection and recognition window may include a fecal suspension detection and recognition window.
Referring to fig. 9, a inspector can identify a cat by simply altering the species identification window, and the sample detected is urine. As shown in fig. 9, schematic diagrams of the information with species, detection category information and bar code coding information are given.
Fig. 11 and fig. 12 show top views of a specific chip, where the chip includes an internal cavity for accommodating a detection sample, a detection recognition window, and a species recognition window, and a user can correct the recognition window through a mark pen, and through a photoelectric information recognition module, the blood and urine forming component detection device can automatically introduce a urine examination focusing method and focusing parameters of a cat, so as to complete image acquisition and recognition.
Referring to fig. 13, a multi-parameter component detection method includes the steps of a30: the detection type input is used for inputting detection type information into the multiparameter tangible component detection equipment; step A40: setting focusing parameters according to the detection type, and setting a focusing method and focusing parameters by the multi-parameter formed component detection equipment according to the input detection type; step A50: executing focusing, and focusing according to the focusing method and the focusing parameters; step A60: acquiring an image, and shooting to acquire a microscopic image; step A70: and analyzing and identifying the components to be detected, analyzing and identifying the microscopic image, and finding out the object to be detected.
As shown in fig. 14, before step a30, the method may further include: step A20: and inputting the species information to be detected, and inputting the species information of the detected sample into the multiparameter tangible component detection equipment. As shown in fig. 15, in step a20, the information of the detection species may be obtained by reading the information on the detection chip. As shown in fig. 16, in step a30, the detection type information may be obtained by reading information on the detection chip.
As shown in fig. 17, the detection type in step a30 includes blood detection information, the blood detection information includes red blood cell detection information, and in step a40, the focusing method is that the bottom of the sample accommodating cavity is shifted upwards, and the focal plane is greater than 1.0 micron and less than 8.0 microns from the bottom of the sample accommodating cavity; the detection type in the step a30 may include blood detection information, the blood detection information includes white blood cell detection information, and in the step a40, the focusing method is that the bottom of the sample accommodating cavity is shifted upwards, and the focal plane is greater than 3.0 micrometers and less than 6.0 micrometers away from the bottom of the sample accommodating cavity; the detection type in step a30 may include blood detection information, the blood detection information includes platelet detection information, and in step a40, the focusing method is that the bottom of the sample accommodating cavity is shifted upwards, and the focal plane is greater than 0.8 micrometers and less than 2.0 micrometers from the bottom of the sample accommodating cavity.
The detection type in the step a30 may include urine detection information, the urine detection information includes detection cell information, and in the step a40, the focusing method is that the bottom of the sample accommodating cavity is shifted upwards, and the focal plane is greater than 1.0 micron and less than 6.0 microns from the bottom of the sample accommodating cavity; the detection type in the step a30 may include urine detection information, the urine detection information includes detection crystal information, and in the step a40, the focusing method is that the bottom of the sample accommodating cavity is shifted upwards, and the focal plane is greater than 3.0 micrometers and less than 6.0 micrometers away from the bottom of the sample accommodating cavity; the detection type in the step a30 may include urine detection information, the urine detection information includes detection tube information, and in the step a40, the focusing method is that the bottom of the sample accommodating cavity is shifted upwards, and the focal plane is greater than 3.0 micrometers and less than 6.0 micrometers from the bottom of the sample accommodating cavity; the detection type in step a30 may include urine detection information, the urine detection information includes fat particle detection information, and in step a40, the focusing method is that the top of the sample accommodating cavity is offset downwards, and the focal plane is greater than 1.0 micron and less than 2.0 microns from the top of the sample accommodating cavity.
The detection type in the step a30 includes fecal suspension detection information, the fecal suspension detection information includes detection bacterial information, and in the step a40, the focusing method is that the bottom of the sample accommodating cavity is shifted upwards, and the focal plane is greater than 0.2 micrometers and less than 1.0 micrometers away from the bottom of the sample accommodating cavity; the detection type in the step a30 includes fecal suspension detection information, the fecal suspension detection information includes detection cell information, and in the step a40, the focusing method is that the bottom of the sample accommodating cavity is shifted upwards, and the focal plane is greater than 1.0 micron and less than 6.0 microns from the bottom of the sample accommodating cavity; the detection type in the step A30 comprises fecal suspension detection information, the fecal suspension detection information comprises egg detection information, and in the step A40, the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 10 microns and less than 13 microns from the bottom of the sample accommodating cavity; the detection type in step a30 may include fecal suspension detection information, the fecal suspension detection information includes detection of fat particles, and in step a40, the focusing method is that the bottom of the sample accommodating cavity is shifted upwards, and the focal plane is greater than 1.0 micrometer and less than 2.0 micrometers from the bottom of the sample accommodating cavity.
The species information input in the step a20 is dog type, the detection type input in the step a20 is blood, the focusing method in the step a40 is that the bottom of the sample accommodating cavity is upwards offset, and the focal plane is more than 1.0 micron and less than 3.5 microns from the bottom of the sample accommodating cavity; the species information input in the step a20 is dog type, the detection type input in the step a20 is cell or large crystal or large tube type in urine, the focusing method in the step a40 is that the bottom of the sample accommodating cavity is upwards offset, and the focal plane is more than 2.0 micrometers and less than 5.0 micrometers away from the bottom of the sample accommodating cavity; the species information input in the step a20 is dog type, the detection type input in the step a20 is fat particles in urine, and the focusing method in the step a40 is that the top of the sample accommodating cavity is downwards offset, and the focal plane is more than 1.2 micrometers and less than 2.0 micrometers away from the top of the sample accommodating cavity.
The species information input in the step A20 is dog type, the detection type input in the step A20 is bacteria or cells or ova in fecal suspension, and in the step A40, the focusing method is that the bottom of the sample accommodating cavity is upwards offset, and the focal plane is more than 0.5 micrometers and less than 12 micrometers away from the bottom of the sample accommodating cavity; the species information input in the step a20 is dog type, the detection type input in the step a20 is fat particles in the fecal suspension, the focusing method in the step a40 is that the top of the sample accommodating cavity is downwards offset, and the focal plane is more than 1.0 micron and less than 2.0 microns away from the top of the sample accommodating cavity; the species information input in step a20 may be cat species, and the detection type input in step a20 is blood; the species information input in the step a20 may be cat species, and the detection type input in the step a20 is urine; the species information input in the step A20 is cat species, and the detection type input in the step A20 is fecal suspension. The species information input in the step a20 may be a reptile, and the detection type input in the step a20 is blood; the species information input in step a20 may be a reptile, and the detection type input in step a20 may be a fecal suspension.
Referring to fig. 8,9 and 10, a multi-parameter formed component detection chip includes a sample receiving cavity to be detected, wherein the sample receiving cavity is used for receiving a liquid sample to be detected; the detection chip comprises one or two or more photoelectric sensing windows, the photoelectric sensing windows can change color or state, external equipment can sense the color or state change through a photoelectric sensor, and the photoelectric sensing windows are used for identifying the detection type of a sample to be detected. The above-mentioned photo-sensing window may be used to identify species information to which the sample to be detected belongs. The species information may include any two or more of the following species: cats, dogs, reptiles. The above detection types may include any two or more of the following species: blood, urine, fecal suspension. The photoelectric sensing window may be made of a transparent material, and the dye may cover the sensing window. The above-mentioned photoelectric sensing window may be made of a thin film material, and the photoelectric sensing performance may be changed by puncturing the thin film material. The photoelectric sensing window may be covered with a dye, which may be removed to change the sensing performance of the photoelectric sensing window. The photo-sensing window may be capable of being painted to change color.
While the application has been illustrated and described in terms of a preferred embodiment and several alternatives, the application is not limited by the specific description in this specification. Other alternative or equivalent components may also be used in the practice of the present application.
Claims (24)
1. The device for detecting the formed component of the blood-urine feces is characterized by comprising a detection type control component, a formed component detection component and a front end component;
The front end component comprises a sliding table module, a camera module and a detection chip;
The formed component detection assembly comprises a focusing control module and an image acquisition module;
the detection chip comprises a sample accommodating cavity to be detected, and the detection sample accommodating cavity is used for accommodating the sample to be detected;
The slipway module adjusts the distance between the camera module and the detection chip; the camera module is used for shooting an image of a sample to be detected in the sample accommodating cavity;
the focusing control module controls the sliding table module to adjust the distance between the camera shooting module and the detection chip;
the image acquisition module acquires an image shot by the camera module;
the method comprises the following two technical characteristics:
The technical characteristics TA10 are that the detection type control component comprises a blood detection control module, the blood detection control module inputs blood detection focusing parameters into the focusing control module, and the focusing control module controls and adjusts the distance between the camera module and the detection chip according to the blood detection focusing parameters; the image acquisition module acquires an image shot by the camera module, wherein the image comprises a blood cell image;
The technical characteristics TA20 are that the detection type control component comprises a urine detection control module, the urine detection control module inputs urine detection focusing parameters into the focusing control module, and the focusing control module controls and adjusts the distance between the camera module and the detection chip according to the urine detection focusing parameters; the image acquisition module acquires an image shot by the camera module, wherein the image comprises an image of a tangible component in urine;
The technical characteristics TA30, the detection type control component comprises a fecal suspension detection control module, the fecal suspension detection control module inputs a fecal suspension detection focusing parameter into the focusing control module, and the focusing control module controls and adjusts the distance between the camera module and the detection chip according to the fecal suspension detection focusing parameter; the image acquisition module acquires an image shot by the camera module, wherein the image comprises an image of a tangible component in the fecal suspension.
2. The blood-urine-feces-to-form-component detection device according to claim 1, further comprising a display unit, a control input unit, and a detection type control unit for displaying the blood detection function, the urine detection function, and/or the feces suspension detection function via the display unit; the control input component inputs selection, and the blood-urine-feces forming component detection device performs a selected function according to the input of the control input component.
3. The blood-urine-feces forming component detecting device according to claim 1, comprising any one of the following technical features:
The technical characteristics TB10, the blood detection control module comprises a leukocyte focusing method and focusing parameters, the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 3.0 microns and less than 6.0 microns from the bottom of the sample accommodating cavity;
The technical characteristics TB20, the blood detection control module comprises a red blood cell focusing method and focusing parameters, the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 1.0 micron and less than 8.0 microns from the bottom of the sample accommodating cavity;
The technical feature TB30, the blood detection control module includes platelet focusing method and focusing parameter, the focusing method is to shift upwards from the bottom of the sample accommodation cavity, the focal plane is more than 0.8 microns, less than 2.0 microns from the bottom of the sample accommodation cavity.
4. The blood-urine-feces forming component detecting device according to claim 1, comprising any one of the following technical features:
The technical characteristics TB10, the urine detection control module includes cell focusing method and focusing parameter, the focusing method is that the bottom of the sample accommodating cavity is upwards offset, the focal plane is more than 1.0 micron and less than 6.0 microns from the bottom of the sample accommodating cavity;
The technical characteristics TB20, the urine detection control module comprises a crystal focusing method and focusing parameters, the focusing method is that the bottom of the sample accommodating cavity is upwards deviated, and the focal plane is more than 3.0 microns and less than 6.0 microns from the bottom of the sample accommodating cavity;
The technical characteristics TB30 and the urine detection control module comprise a tubular object focusing method and focusing parameters, wherein the focusing method is that the bottom of a sample accommodating cavity is upwards deviated, and the distance between a focal plane and the bottom of the sample accommodating cavity is more than 3.0 microns and less than 6.0 microns;
The technical feature TB40, the urine detection control module includes a fat particle focusing method and focusing parameters, the focusing method is that the top of the sample accommodating cavity is downwards offset, and the focal plane is more than 1.0 micron and less than 2.0 microns from the top of the sample accommodating cavity.
5. The blood-urine-feces forming component detecting device according to claim 1, comprising any one of the following technical features:
The technical characteristics TB10 and the fecal suspension detection control module comprise a bacterial focusing method and focusing parameters, wherein the focusing method is that the bottom of a sample accommodating cavity is upwards deviated, and the distance between a focal plane and the bottom of the sample accommodating cavity is more than 0.2 microns and less than 1.0 microns;
The technical characteristics TB20 and the fecal suspension detection control module comprise a cell focusing method and focusing parameters, wherein the focusing method is that the bottom of a sample accommodating cavity is upwards deviated, and the focal plane is more than 1.0 micron and less than 6.0 microns from the bottom of the sample accommodating cavity;
The technical characteristics TB30 and the fecal suspension detection control module comprise an insect egg focusing method and focusing parameters, wherein the focusing method is that the bottom of a sample accommodating cavity is upwards deviated, and the distance between a focal plane and the sample accommodating cavity is more than 10 microns and less than 13 microns;
The technical characteristic TB40 is that the fecal suspension detection control module comprises a fat particle focusing method and focusing parameters, wherein the focusing method is that the top of a sample accommodating cavity is downwards deviated, and the distance between a focal plane and the bottom of the sample accommodating cavity is more than 1.0 micron and less than 2.0 microns.
6. The blood-urine-feces forming component detection device according to claim 1, wherein the detection type control component transmits an image to an AI cloud server, and an AI graphic analysis module inside the AI cloud server analyzes, recognizes and finds out an object to be detected; and the AI cloud server sends the found object to be detected to the detection type control component.
7. The blood-urine-feces formed component detecting device according to claim 1, wherein the camera module and the sliding table module form a camera assembly, and the sliding table module drives the camera module to be close to or far away from the detecting chip.
8. The blood-urine-feces forming component detection device of claim 7 further comprising a carrier assembly, a vibration detection module, the vibration detection module being positioned on the carrier assembly; the detection chip is placed on the bearing component, the sliding table module drives the detection chip to be close to or far away from the camera module, and the vibration detection module detects vibration information in the bearing component.
9. The blood-urine-feces-to-form-factor detection device of claim 1 further comprising a species control component comprising any two of the following features:
The technical characteristics TC10 comprises a dog detection control module, wherein the dog detection control module comprises a dog blood detection focusing control method and focusing control parameters;
The technical characteristics TC11 comprises a dog detection control module, wherein the dog detection control module comprises a dog urine detection focusing control method and focusing control parameters;
the technical characteristics TC12 comprises a dog detection control module, wherein the dog detection control module comprises a dog fecal suspension detection focusing control method and focusing control parameters;
The technical characteristics TC20 comprises a cat detection control module, wherein the cat detection control module comprises a cat blood detection focusing control method and focusing control parameters;
the technical characteristics TC21 comprises a cat detection control module, wherein the cat detection control module comprises a cat urine detection focusing control method and focusing control parameters;
The technical characteristics TC22 comprises a cat detection control module, wherein the cat detection control module comprises a cat fecal suspension detection focusing control method and focusing control parameters;
The technical characteristics TC30 comprises a crawling type detection control module, wherein the crawling type detection control module comprises a crawling type blood detection focusing control method and focusing control parameters;
The technical characteristics TC31 comprise a crawling type detection control module, wherein the crawling type detection control module comprises a crawling type fecal suspension detection focusing control method and focusing control parameters.
10. The blood-urine-feces-to-form-factor detection device of claim 1 further comprising a species control component comprising any two of the following features:
The technical characteristics TD10 comprise a dog detection control module, wherein the dog detection control module comprises a dog blood AI pattern recognition training set;
the technical characteristics TD11 comprise a dog detection control module, wherein the dog detection control module comprises a dog urine AI pattern recognition training set;
The technical characteristics TD12 comprises a dog detection control module, wherein the dog detection control module comprises a dog fecal suspension AI pattern recognition training set;
The technical characteristics TD20 comprise a cat detection control module, wherein the cat detection control module comprises a cat blood AI pattern recognition training set;
The technical characteristics TD21 comprise a cat detection control module, wherein the cat detection control module comprises a cat urine AI pattern recognition training set;
the technical characteristics TD22 comprises a cat detection control module, wherein the cat detection control module comprises a cat fecal suspension detection AI pattern recognition training set;
The technical characteristics TD30 comprises a crawling type detection control module, wherein the crawling type detection control module comprises a crawling type blood AI pattern recognition training set;
The technical characteristics TD31 comprise a crawling detection control module, wherein the crawling detection control module comprises a crawling fecal suspension AI pattern recognition training set.
11. The blood-urine-feces forming component detecting device of claim 1 further comprising a chip information reading module including on the detecting chip detection type information, chip number information; the chip information reading component can read the detection type information and the chip number information.
12. The blood-urine-feces forming component detecting device of claim 11 wherein the chip information reading means includes a code identification module including a attachable code sticker on the detecting chip, the code identification module being capable of identifying code sticker information including detection type information, chip number information.
13. The blood-urine-feces forming component detecting device of claim 12 wherein the coded sticker is a two-dimensional code or bar code message.
14. The blood-urine-feces forming component detecting device of claim 11 wherein the chip information reading means includes a photoelectric information identifying module including a modifiable identification window on the detecting chip, the photoelectric information identifying module being capable of identifying whether the identification window is smeared or covered.
15. The blood-urine-feces-to-form detection device of claim 14 wherein the identification window includes a species identification window;
the species identification window comprises any two of the following technical characteristics:
Technical feature TE10, species identification window includes a dog identification window;
technical feature TE20, species identification window includes a cat identification window;
Technical feature TE30, the species identification window includes a crawler identification window.
16. The blood-urine-feces-to-form detection device of claim 14 wherein the identification window includes a detection identification window;
the detection and identification window comprises any two of the following technical characteristics:
Technical feature TE40, the detection recognition window includes a blood detection recognition window;
technical characteristics TE50, the detection and identification window comprises a urine detection and identification window;
Technical characteristics TE60, detection and identification window includes excrement suspension detection and identification window.
17. The multi-parameter formed component detection chip is characterized by comprising a sample accommodating cavity to be detected, wherein the sample accommodating cavity is used for accommodating a liquid sample to be detected; the detection chip comprises one or two or more photoelectric sensing windows, the photoelectric sensing windows can change color or state, external equipment can sense the color or state change through a photoelectric sensor, and the photoelectric sensing windows are used for identifying the detection type of a sample to be detected.
18. The multi-parameter, component-with-formation detection chip of claim 17, wherein the photo-sensing window is used to identify species information to which the sample to be detected belongs.
19. The multi-parameter, component-with-detection chip of claim 18, wherein the species information comprises any two or more of the following species: cats, dogs, reptiles.
20. The multi-parameter, component-with-detection chip of claim 17, wherein the detection types include any two or more of the following species: blood, urine, fecal suspension.
21. The multi-parameter, component-with-formation detection chip of claim 17, wherein the photo-sensing window is made of a transparent material, and the dye can cover the sensing window.
22. The multi-parameter, component-with-formation detection chip of claim 17, wherein the photo-sensing window is formed of a thin film material, and the photo-sensing performance can be changed by puncturing the thin film material.
23. The multiparameter component detection chip of claim 17, wherein the photoinduction window is covered with a dye that can be removed to alter the inductivity of the photoinduction window.
24. The multi-parameter, component-with-formation detection chip of claim 17, wherein the photo-sensing window is capable of being pigmented to change color.
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