Device for detecting hydrothorax and ascites

Abstract

In the hydrothorax and ascites detection device, an execution module 1 comprises a Z-axis sliding table supporting component, a Z-axis sliding table assembly and a camera shooting assembly; the Z-axis sliding table assembly can drive the camera shooting assembly to move in the Z-axis direction. In the execution module 2, an X-axis and Y-axis sliding table assembly can drive a chip illumination assembly and a hydrothorax and ascites detection chip to move in the X-axis direction or the Y-axis direction; in the test control module, an image shooting control unit is used for controlling a camera shooting assembly to work, and the camera shooting assembly is used for shooting an image of the thoracic-ascites microscopic examination sample; the test logic control unit is used for controlling the working state of the driving module; the hydrothorax and ascites detection AI characteristic data storage unit is used for storing hydrothorax and ascites detection AI characteristic data; and the image AI calculation module is used for performing image AI calculation based on the hydrothorax and ascites detection AI feature data and the hydrothorax and ascites microscopic examination sample image. Modularization setting is achieved in a segmentation mode and can be achieved through special hardware, and cost is greatly reduced.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of medical equipment, and particularly relates to a pleuroperitoneal fluid detection device. BACKGROUND

[0002] The pleuroperitoneal fluid detection device is a high-precision and high-complexity medical instrument, which comprises a precise microscopic imaging system and an image analysis processing system, and is a comprehensive integration of biotechnology, medical technology, high-precision instruments, computer technology and artificial intelligence pattern analysis technology. The system is complex and requires a large number of sensors, control and detection devices. If the functions of each component of the system are set, how to reduce the research and development complexity, equipment cost and maintenance cost is a great technical challenge.

[0003] The control task and the image processing task for artificial intelligence pattern analysis are relatively heavy. How to design the system architecture of the pleuroperitoneal fluid detection device not only determines the efficiency of various task control and coordination, but also affects the hardware cost. How to realize the pleuroperitoneal fluid detection at low cost and high efficiency is a challenge for this type of device. SUMMARY

[0004] In the hardware architecture of the pleuroperitoneal fluid detection device, the image AI calculation module is separately set, and the bottom layer hardware control logic is completed by the test control module. The driving of the bottom layer hardware is completed by the driving module. A large number of execution actions are classified into the execution module 1 and the execution module 2. The modularization setting is realized by segmentation, and each can be realized by special hardware, which greatly reduces the cost.

[0005] The technical scheme for solving the above technical problems of the present application is a pleuroperitoneal fluid detection device, which comprises a test control module, a driving module, an image AI calculation module, an execution module 1, an execution module 2, a pleuroperitoneal fluid detection chip, a control input module, and a display module. The execution module 1 comprises a Z-axis sliding table support component, a Z-axis sliding table assembly, and a camera assembly. The Z-axis sliding table support component is used to carry the Z-axis sliding table assembly. The Z-axis sliding table assembly is used to carry the camera assembly, and the Z-axis sliding table assembly can drive the camera assembly to move in the Z-axis direction. The execution module 2 comprises a test platform support component, an XY-axis sliding table assembly, and a chip illumination assembly. The test platform support component is used to carry the XY-axis sliding table assembly. The XY-axis sliding table assembly comprises an X-axis sliding table assembly and a Y-axis sliding table assembly. The X-axis sliding table assembly is carried on the Y-axis sliding table assembly, and the Y-axis sliding table assembly can drive the X-axis sliding table assembly to move in the Y-axis direction. The XY-axis sliding table assembly is used to carry the chip illumination assembly, and the XY-axis sliding table assembly can drive the chip illumination assembly to move in the X-axis or Y direction. The pleuroperitoneal fluid detection chip comprises a detection accommodating cavity, which is used to accommodate a pleuroperitoneal fluid microscopic sample. The pleuroperitoneal fluid detection chip is detachably placed on the XY-axis sliding table assembly. The XY-axis sliding table assembly can drive the pleuroperitoneal fluid detection chip to move in the X-axis or Y direction. The driving module comprises a Z-axis motor driving sub-module, which is used to drive the motor in the Z-axis sliding table assembly to operate. The driving module comprises an XY-axis motor driving sub-module, which is used to drive the motor in the XY-axis sliding table assembly to operate. The driving module comprises a chip illumination driving sub-module, which is used to drive the illuminating device in the chip illumination assembly to operate. The test control module comprises an image shooting control unit, which is in electrical signal communication with the camera assembly and is used to control the operation of the camera assembly. The camera assembly is used to shoot the image of the pleuroperitoneal fluid microscopic sample. The test control module comprises a test logic control unit, which is in electrical signal communication with the driving module and is used to control the working state of the driving module. The test control module is in electrical signal connection with the driving module. The test control module comprises a man-machine interface control unit, which is in electrical signal communication with the control input module and is used to receive the control signal input by the control input module. The man-machine interface control unit is in electrical signal communication with the display module and is used to control the display of the display module. The test control module comprises a pleuroperitoneal fluid detection AI feature data storage unit, which is used to store the pleuroperitoneal fluid detection AI feature data. The image AI calculation module is in electrical signal connection with the test control module, and the image AI calculation module is used for image AI calculation based on the pleuroperitoneal fluid detection AI feature data and the image of the pleuroperitoneal fluid microscopic sample.

[0006] The pleuroperitoneal fluid detection device further comprises any one of the following technical features: TA1: the image AI calculation module is connected with the test control module through a wired signal; TA2: the test control module is connected with the image AI calculation module through a serial port; TA4: the test control module is connected with the image AI calculation module through a USB interface; TA5: the test control module is connected with the image AI calculation module through a parallel communication interface.

[0007] The pleuroperitoneal fluid detection device further comprises any one of the following technical features: TB1: the camera assembly is connected with the image shooting control unit through a wired signal; TB2: the camera assembly is connected with the image shooting control unit through a serial port; TB3: the camera assembly is connected with the image shooting control unit through a USB interface; TB4: the camera assembly is connected with the image shooting control unit through a parallel communication interface.

[0008] The image AI calculation module comprises a GPU calculation module, and the GPU calculation module comprises a GPU calculation chip. The GPU calculation module is used for image AI calculation based on pleuroperitoneal fluid detection AI feature data and a pleuroperitoneal fluid microscope sample image.

[0009] The pleuroperitoneal fluid detection device further comprises a host computer. The image AI calculation module is located in the host computer. The host computer comprises a host computer network unit, and the test control module comprises a lower computer network unit. The host computer network unit is used for communication connection with the lower computer network unit. Any one of the following technical features is further included: TC1: the host computer network unit or the lower computer network unit comprises a WIFI submodule, and the host computer is connected with the pleuroperitoneal fluid detection device through a WIFI signal; TC2: the host computer network unit or the lower computer network unit comprises a 4G communication submodule or a 5G communication submodule; the host computer is connected with the pleuroperitoneal fluid detection device through the 4G communication submodule or the 5G communication submodule; TC3: the host computer network unit or the lower computer network unit comprises a wired network communication submodule; the host computer is connected with the pleuroperitoneal fluid detection device through a wired network, and a communication protocol based on the wired network connection comprises an Ethernet protocol, a USB communication protocol, and an optical fiber network protocol.

[0010] The camera assembly comprises a WIFI submodule. The image shooting control unit is located in the host computer, and the camera assembly is directly connected with the host computer in signal communication.

[0011] The host computer comprises a test item control unit. The test item control unit is used for setting of a pleuroperitoneal fluid test item. The test item control unit is connected with the test logic control unit in signal communication, and the test item control unit is used for control of the test logic control unit.

[0012] The pleuroperitoneal fluid detection AI feature data storage unit is located in the host computer.

[0013] The host computer comprises a host computer display unit for image display in the pleural effusion and ascites detection process; and the display module is used for displaying control information in the test process.

[0014] The pleural effusion and ascites detection chip comprises a cavity for accommodating a liquid sample; and the cavity has a set height.

[0015] The technical effects of the above technical solutions are: the test control module, the driving module and the image AI calculation module are respectively arranged, the three functions are modularized and distinguished, the special hardware is selected for execution, and the cost is reduced. If the three functions are integrated together, the requirement for the hardware system will be very high, both the computing power requirement of the image AI calculation and the rapid and convenient control of the external device by the test control module and the driving module are required, which will lead to a substantial increase in hardware cost. The modularization setting is divided and realized, and each can be realized by special hardware, which greatly reduces the cost.

[0016] The technical effects of the above technical solutions are: the modules are divided, the device complexity is greatly reduced, and the system cost is reduced on the basis of maintaining performance.

[0017] The technical effects of the above technical solutions are: the execution module 1 and the execution module 2 are respectively arranged, which facilitates mechanical implementation, reduces implementation cost and reduces the connecting components between the two modules.

[0018] The technical effects of the above technical solutions are: the control input module and the display module are separately arranged and connected, which facilitates compatibility with existing general-purpose devices and enables sharing of some hardware devices.

[0019] The technical effects of the above technical solutions are: the Z-axis sliding table assembly can drive the camera assembly to move in the Z-axis direction, facilitating the acquisition of images at different positions of the Z-axis.

[0020] The technical effects of the above technical solutions are: the XY-axis sliding table assembly can drive the chip lighting assembly to move in the X-axis or Y-axis direction, ensuring that the lighting conditions follow the movement and ensuring the image quality.

[0021] The technical effects of the above technical solutions are: the XY-axis sliding table assembly can drive the pleural effusion and ascites detection chip to move in the X-axis or Y-axis direction, enabling the acquisition of images at different positions of the X-axis or Y-axis.

[0022] The technical effects of the above technical solutions are: the Z-axis motor driving sub-module and the XY-axis motor driving sub-module are separately arranged, which facilitates efficient multi-dimensional motion control.

[0023] The technical effects of the above technical solutions are that the image shooting control unit, the test logic control unit and the man-machine interface control unit in the test control module are respectively arranged, various controls are independent of each other, and the control efficiency is improved.

[0024] The technical effects of the above technical solutions are that the pleuroperitoneal fluid detection AI feature data storage unit directly stores the pleuroperitoneal fluid detection AI feature data, and AI recognition and calculation can be conveniently performed locally.

[0025] The technical effects of the above technical solutions are that the test control module and the image AI calculation module are connected through wired signals, and the data transmission reliability and efficiency are ensured.

[0026] The technical effects of the above technical solutions are that the camera assembly and the image shooting control unit are connected through wired signals, and the image data transmission reliability and efficiency are ensured.

[0027] The technical effects of the above technical solutions are that the GPU calculation module is very suitable for AI calculation.

[0028] The technical effects of the above technical solutions are that the image AI calculation module is located in the upper computer, the most power-consuming part is separated from the control part through the setting of the upper computer, and the system efficiency is improved.

[0029] The technical effects of the above technical solutions are that the upper computer includes an upper computer network unit, the test control module includes a lower computer network unit, data interaction is performed through a network, data transmission is facilitated, and basic hardware is provided for remote AI analysis.

[0030] The technical effects of the above technical solutions are that the camera assembly includes a WIFI sub-module, and a wireless image acquisition mode is provided.

[0031] The technical effects of the above technical solutions are that the test item control unit is used for setting a pleuroperitoneal fluid test item, and man-machine interaction is facilitated.

[0032] The technical effects of the above technical solutions are that the pleuroperitoneal fluid detection AI feature data storage unit is located in the upper computer, the storage space of the upper computer can be utilized, and the hardware cost of the core control part is reduced.

[0033] The technical effects of the above technical solutions are that the upper computer display unit is used for image display in a pleuroperitoneal fluid detection process, and the display module is used for control information display in a test process, two groups of information are displayed respectively, various information is facilitated to be displayed, the advantages of a comprehensive system can be exerted, and user experience is improved.

[0034] The technical effects of the above technical solutions are that the pleuroperitoneal fluid detection chip internally includes a cavity for accommodating a liquid sample, and the cavity height is a set value, so that a quantitative pleuroperitoneal fluid microscopic sample can be imaged. BRIEF DESCRIPTION OF DRAWINGS

[0035] Fig. 1 is a schematic block diagram of a pleural effusion detection device;

[0036] Fig. 2 is a schematic block diagram of a pleural effusion detection device;

[0037] Fig. 3 is a schematic block diagram of a pleural effusion detection device;

[0038] Fig. 4 is a schematic block diagram of a pleural effusion detection device;

[0039] Fig. 5 is a schematic block diagram of a pleural effusion detection device. DETAILED DESCRIPTION

[0040] The present application will be further described by examples in conjunction with the accompanying drawings.

[0041] It should be noted that the following description is merely exemplary of the present application, and that it is not intended to limit the application in any way. The description of the preferred embodiments of the present application is merely exemplary and is not intended to limit the application in any way. The description of the embodiments of the present application is merely exemplary and is not intended to limit the application in any way. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of the present application.

[0042] In the description of the present application, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are merely for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application. In addition, the terms "first", "second", and technical features numbered with Arabic numerals 1, 2, 3, etc., and "A" and "B" such as numbers, are only for the purpose of description, and are only for the convenience of description, and do not represent the temporal or spatial sequence relationship; cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features limited by "first", "second", and technical features numbered with Arabic numerals 1, 2, 3, etc. can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "several" is two or more, unless otherwise specifically limited.

[0043] As Figs. 1-2The application discloses a pleuroperitoneal fluid detection device which comprises a test control module, a driving module, an image AI calculation module, an execution module 1, an execution module 2, a pleuroperitoneal fluid detection chip, a control input module and a display module. The execution module 1 comprises a Z-axis sliding table support component, a Z-axis sliding table assembly and a camera assembly. The Z-axis sliding table support component is used for bearing the Z-axis sliding table assembly. The Z-axis sliding table assembly is used for bearing the camera assembly. The Z-axis sliding table assembly can drive the camera assembly to move in the Z-axis direction. The execution module 2 comprises a test platform support component, an XY-axis sliding table assembly and a chip illumination assembly. The test platform support component is used for bearing the XY-axis sliding table assembly. The XY-axis sliding table assembly comprises an X-axis sliding table assembly and a Y-axis sliding table assembly. The X-axis sliding table assembly is borne on the Y-axis sliding table assembly. The Y-axis sliding table assembly can drive the X-axis sliding table assembly to move in the Y-axis direction. The XY-axis sliding table assembly is used for bearing the chip illumination assembly. The XY-axis sliding table assembly can drive the chip illumination assembly to move in the X-axis or Y-axis direction. The pleuroperitoneal fluid detection chip comprises a detection accommodating cavity which is used for accommodating a pleuroperitoneal fluid microscopic sample. The pleuroperitoneal fluid detection chip is detachably placed on the XY-axis sliding table assembly. The XY-axis sliding table assembly can drive the pleuroperitoneal fluid detection chip to move in the X-axis or Y-axis direction. The driving module comprises a Z-axis motor driving sub-module which is used for driving a motor in the Z-axis sliding table assembly to operate. The driving module comprises an XY-axis motor driving sub-module which is used for driving a motor in the XY-axis sliding table assembly to operate. The driving module comprises a chip illumination driving sub-module which is used for driving an illuminating device in the chip illumination assembly to operate. The test control module comprises an image shooting control unit which is in electrical signal communication with the camera assembly and is used for controlling the camera assembly to work. The camera assembly is used for shooting an image of the pleuroperitoneal fluid microscopic sample. The test control module comprises a test logic control unit which is in electrical signal communication with the driving module and is used for controlling a working state of the driving module. The test control module is in electrical signal connection with the driving module. The test control module comprises a man-machine interface control unit which is in electrical signal communication with the control input module and is used for receiving a control signal input by the control input module. The man-machine interface control unit is in electrical signal communication with the display module and is used for controlling the display of the display module. The test control module comprises a pleuroperitoneal fluid detection AI feature data storage unit which is used for storing pleuroperitoneal fluid detection AI feature data. The image AI calculation module is in electrical signal connection with the test control module. The image AI calculation module is used for image AI calculation based on the pleuroperitoneal fluid detection AI feature data and an image of the pleuroperitoneal fluid microscopic sample.

[0044] The pleuroperitoneal fluid detection device further comprises any one of the following technical features: TA1: the image AI calculation module is connected with the test control module through a wired signal; TA2: the test control module is connected with the image AI calculation module through a serial port; TA4: the test control module is connected with the image AI calculation module through a USB interface; TA5: the test control module is connected with the image AI calculation module through a parallel communication interface.

[0045] The pleuroperitoneal fluid detection device further comprises any one of the following technical features: TB1: the camera assembly is connected with the image shooting control unit through a wired signal; TB2: the camera assembly is connected with the image shooting control unit through a serial port; TB3: the camera assembly is connected with the image shooting control unit through a USB interface; TB4: the camera assembly is connected with the image shooting control unit through a parallel communication interface.

[0046] As Figs. 1-2 , the image AI calculation module comprises a GPU calculation module, and the GPU calculation module comprises a GPU calculation chip; the GPU calculation module is used for image AI calculation based on pleuroperitoneal fluid detection AI feature data and a pleuroperitoneal fluid microscope sample image.

[0047] As Figs. 3-5 , the pleuroperitoneal fluid detection device further comprises a host computer; the image AI calculation module is located in the host computer; the host computer comprises a host computer network unit, and the test control module comprises a lower computer network unit; the host computer network unit is used for communication connection with the lower computer network unit; and any one of the following technical features is further comprised: TC1: the host computer network unit or the lower computer network unit comprises a WIFI submodule, and the host computer is connected with the pleuroperitoneal fluid detection device through a WIFI signal; TC2: the host computer network unit or the lower computer network unit comprises a 4G communication submodule or a 5G communication submodule; the host computer is connected with the pleuroperitoneal fluid detection device through the 4G communication submodule or the 5G communication submodule; TC3: the host computer network unit or the lower computer network unit comprises a wired network communication submodule; the host computer is connected with the pleuroperitoneal fluid detection device through a wired network, and a communication protocol based on the wired network connection comprises an Ethernet protocol, a USB communication protocol, and an optical fiber network protocol.

[0048] The camera assembly comprises a WIFI submodule, the image shooting control unit is located in the host computer, and the camera assembly is directly connected with the host computer in signal communication.

[0049] As Fig. 4The host computer comprises a test item control unit for setting of the pleural effusion and ascites test item, the test item control unit is in signal communication with the test logic control unit, and the test item control unit is used for control of the test logic control unit. The pleural effusion and ascites detection AI feature data storage unit is located in the host computer.

[0050] As Fig. 5 The host computer comprises a host computer display unit for image display in the pleural effusion and ascites detection process; and the display module is used for control information display in the test process.

[0051] The pleural effusion and ascites detection chip internally comprises a cavity for containing a liquid sample; the cavity height is a set value.

[0052] The application is described and illustrated according to the preferred embodiments and several alternatives, but the application will not be limited by the specific description in the specification. Other additional alternatives or equivalent components can also be used to practice the application.

Claims

1. A pleuroperitoneal fluid detection device, characterized in that, It comprises a test control module, a driving module, an image AI calculation module, an execution module 1, an execution module 2, a pleuroperitoneal fluid detection chip, a control input module, a display module; The execution module 1 comprises a Z-axis sliding table support component, a Z-axis sliding table assembly, and a camera assembly, and the Z-axis sliding table support component is used to carry the Z-axis sliding table assembly; The Z-axis sliding table assembly is used to carry the camera assembly, and the Z-axis sliding table assembly can drive the camera assembly to move in the Z-axis direction; The execution module 2 comprises a test platform support component, an XY-axis sliding table assembly, and a chip lighting assembly; The test platform support component is used to carry the XY-axis sliding table assembly; the XY-axis sliding table assembly comprises an X-axis sliding table assembly and a Y-axis sliding table assembly, the X-axis sliding table assembly is carried on the Y-axis sliding table assembly, and the Y-axis sliding table assembly can drive the X-axis sliding table assembly to move in the Y-axis direction; The XY-axis sliding table assembly is used to carry the chip lighting assembly, and the XY-axis sliding table assembly can drive the chip lighting assembly to move in the X-axis or Y direction; The pleuroperitoneal fluid detection chip comprises a detection containing cavity, which is used to contain a pleuroperitoneal fluid microscopic sample, and the pleuroperitoneal fluid detection chip is detachably placed on the XY-axis sliding table assembly; the XY-axis sliding table assembly can drive the pleuroperitoneal fluid detection chip to move in the X-axis or Y direction; The driving module comprises a Z-axis motor driving sub-module, which is used to drive the motor in the Z-axis sliding table assembly to operate; The driving module comprises an XY-axis motor driving sub-module, which is used to drive the motor in the XY-axis sliding table assembly to operate; The driving module comprises a chip lighting driving sub-module, which is used to drive the lighting device in the chip lighting assembly to operate; The test control module comprises an image shooting control unit, which is in electrical signal communication with the camera assembly and is used to control the operation of the camera assembly; the camera assembly is used to shoot the image of the pleuroperitoneal fluid microscopic sample; The test control module comprises a test logic control unit, which is in electrical signal communication with the driving module and is used to control the working state of the driving module; The test control module is in electrical signal connection with the driving module; The test control module comprises a man-machine interface control unit, which is in electrical signal communication with the control input module and is used to receive the control signal input by the control input module; the man-machine interface control unit is in electrical signal communication with the display module and is used to control the display of the display module; The test control module comprises a pleuroperitoneal fluid detection AI feature data storage unit, which is used to store the pleuroperitoneal fluid detection AI feature data; The image AI calculation module is in electrical signal connection with the test control module, and the image AI calculation module is used for image AI calculation based on the pleuroperitoneal fluid detection AI feature data and the image of the pleuroperitoneal fluid microscopic sample.

2. The pleuroperitoneal fluid detection device according to claim 1, characterized in that, It further comprises any one of the following technical features: TA1: The image AI calculation module and the test control module are connected by a wired signal; TA2: The test control module and the image AI calculation module are connected by a serial port; TA4: The test control module is connected with the image AI calculation module through a USB interface; TA5: The test control module is connected with the image AI calculation module through a parallel communication interface.

3. The ascites detection device according to claim 1, further comprising any one of the following technical features: TB1: The image capturing assembly is connected with the image capturing control unit through a wired signal; TB2: The image capturing assembly is connected with the image capturing control unit through a serial port; TB3: The image capturing assembly is connected with the image capturing control unit through a USB interface; TB4: The image capturing assembly is connected with the image capturing control unit through a parallel communication interface.

4. The ascites detection device according to claim 1, wherein the image AI calculation module comprises a GPU calculation module, the GPU calculation module comprises a GPU calculation chip, and the GPU calculation module is used for image AI calculation based on ascites detection AI feature data and ascites microscopic sample images.

5. The ascites detection device according to claim 1, further comprising a host computer, and the image AI calculation module is located in the host computer.

6. The ascites detection device according to claim 5, wherein the host computer comprises a host computer network unit, the test control module comprises a lower computer network unit, and the host computer network unit is used for communication connection with the lower computer network unit.

7. The ascites detection device according to claim 5, further comprising any one of the following technical features: TC1: The host computer network unit or the lower computer network unit comprises a WIFI sub-module, and the host computer is connected with the ascites detection device through a WIFI signal; TC2: The host computer network unit or the lower computer network unit comprises a 4G communication sub-module or a 5G communication sub-module, and the host computer is connected with the ascites detection device through the 4G communication sub-module or the 5G communication sub-module; TC3: The host computer network unit or the lower computer network unit comprises a wired network communication sub-module, and the host computer is connected with the ascites detection device through a wired network.

8. The ascites detection device according to claim 5, wherein the image capturing assembly comprises a WIFI sub-module, the image capturing control unit is located in the host computer, and the image capturing assembly is directly connected with the host computer through a signal.

9. The ascites detection device according to claim 5, wherein the host computer comprises a test item control unit, the test item control unit is used for setting of ascites test items, the test item control unit is connected with the test logic control unit through a signal, and the test item control unit is used for control of the test logic control unit.

10. The ascites detection device according to claim 5, wherein the ascites detection AI feature data storage unit is located in the host computer.

11. The ascites detection device according to claim 5, wherein the host computer comprises a host computer display unit, the host computer display unit is used for image display in an ascites detection process.

12. The ascites detection device according to claim 1, wherein the ascites detection chip comprises a cavity for containing a liquid sample, and the cavity has a set height. ​ ​ ​ ​ ​ ​ ​ ​ ​

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