AI auxiliary diagnosis equipment for neuropathology

Abstract

The invention relates to the technical field of medical instruments, in particular to neuropathology AI auxiliary diagnosis equipment which is mainly composed of an objective table used for placing pathological sections, a controller and an AI imaging system. The objective table is provided with a plurality of negative pressure holes, and the top of the objective table is connected with a supporting plate, a first double-head driving piece and symmetrical first supporting rods. One end of the screw rod is connected with a belt pulley, linkage is achieved through a belt, and the screw rod is provided with a longitudinal scanning assembly. In addition, the objective table is further connected with a second double-head driving part and a second supporting rod, a transverse scanning assembly is arranged on a rotating shaft of the second supporting rod, the rotating shaft is connected with the second double-head driving part, and the first bevel gear is matched with the rotating assembly. A wheel disc at the output shaft end of the first double-head driving piece is connected with the negative pressure assembly. According to the method, the neuropathological section image with relatively high quality can be obtained, imaging distortion caused by inconsistent section flatness, tiny thickness difference or wrinkles is reduced, and the accuracy of neuropathological diagnosis is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and in particular to an AI-assisted diagnostic device for neuropathology. Background Art

[0002] Pathological sections, as a key link in disease diagnosis, especially neuropathology diagnosis, play a fundamental role in the AI-assisted diagnostic equipment system, and their current technical status has a decisive impact on diagnostic efficiency.

[0003] In the prior art, the patent with publication number "CN111855578A" discloses a pathology slice scanner; the scanning device used in it can simulate the observation of human eyes and the perspective of microscope to realize the image acquisition, scanning and reading of pathology slices. However, in the process of reading pathology slices, this technology is prone to distortion or blurring during imaging due to inconsistent slice flatness, wrinkles or uneven staining. For neuropathology diagnosis, small thickness differences or wrinkles will be magnified during imaging, resulting in image distortion, which may lead to misdiagnosis or missed diagnosis.

[0004] In summary, how to solve the problem of inconsistent slice flatness, slight thickness differences or wrinkles will be magnified during imaging, causing image distortion and possibly misdiagnosis or missed diagnosis during the reading process of pathological slices has become a difficult problem that needs to be solved urgently in this field. Therefore, it is necessary to propose an AI-assisted diagnostic device for neuropathology. Summary of the invention

[0005] To solve the above problems, the present invention provides an AI-assisted diagnostic device for neuropathology, which is used to obtain relatively high-quality neuropathology slice images, reduce imaging distortion caused by inconsistent slice flatness, slight thickness differences or wrinkles, and improve the accuracy and reliability of neuropathology diagnosis.

[0006] In order to achieve the above-mentioned purpose, the technical solution of the present invention is as follows: an AI-assisted diagnostic device for neuropathology, comprising a controller, an AI imaging system and a stage for placing pathological slices; a plurality of negative pressure holes are opened on the stage; a support plate and a first double-headed driving member are fixedly connected to the top of the stage, and the controller is used to control the rotation of the output shaft of the first double-headed driving member; a compensation component for eliminating errors in imaging pathological slices is provided on the stage.

[0007] The top of the loading platform is symmetrically and fixedly connected with a first support rod; the first support rod is rotatably matched with a screw rod, one end of the screw rod is coaxially fixedly connected with a pulley, and the other end of the screw rod is rotatably matched with the support plate, and a belt is sleeved between adjacent pulleys.

[0008] A longitudinal scanning component for longitudinally scanning the pathological slices is arranged between adjacent lead screws.

[0009] A second double-headed driving member and a second support rod are also fixedly connected to the top of the stage. A rotating shaft is rotatably matched on the second support rod. The rotating shaft is provided with a transverse scanning component for driving the longitudinal scanning component to perform transverse scanning on the pathological slice.

[0010] One end of the rotating shaft is rotatably matched with the support plate, and the other end of the rotating shaft is coaxially fixedly connected to one end of the output shaft of the second double-headed driving member, and the other end of the output shaft of the second double-headed driving member is coaxially fixedly connected to the first bevel gear; the first bevel gear is provided with a rotating component for rotating the worktable.

[0011] One end of the output shaft of the first double-headed driving member is coaxially fixedly connected to a pulley on one of the screw rods, and the other end of the output shaft of the first double-headed driving member is fixedly connected to a wheel disk, on which a negative pressure component is provided for causing the negative pressure hole to generate negative pressure to adsorb pathological sections.

[0012] The technical principles of the above scheme are as follows: When it is necessary to scan the neuropathological slice, the output shaft of the first double-headed drive member drives the pulley to rotate, and then uses the belt to link the pulley on the other screw rod, so that the two screw rods rotate synchronously. The rotation of the screw rod drives the longitudinal scanning component to longitudinally scan the pathological slice along the direction of the screw rod, realizing image acquisition of the longitudinal area of ​​the slice.

[0013] At the same time, the output shaft of the second double-headed driving member drives the rotating shaft to rotate, thereby driving the transverse scanning assembly to move, so that the longitudinal scanning assembly can scan the pathological slice in the transverse direction on the basis of completing the longitudinal scanning, thereby realizing all-round slice image acquisition. The first bevel gear coaxially fixedly connected to the other end of the output shaft of the second double-headed driving member cooperates with the rotating assembly. When it is necessary to rotate the stage to adjust the slice angle, the rotation of the first bevel gear drives the rotating assembly to realize the precise rotation of the stage to meet the scanning requirements at different angles.

[0014] On the other hand, the wheel disk fixedly connected to the other end of the output shaft of the first double-headed driving member cooperates with the negative pressure assembly. As the output shaft rotates, the wheel disk operates to cause the negative pressure assembly to work, so that the negative pressure hole on the stage generates negative pressure, and the pathological slice is tightly adsorbed on the stage.

[0015] Finally, the scanned images are transmitted to the AI ​​imaging system, which deeply analyzes the scanned images and identifies the pathological characteristics of the neural tissue.

[0016] The above scheme has the following beneficial effects: 1. In the prior art, in the process of reading pathological sections, due to inconsistent flatness of the sections, wrinkles or uneven staining, etc., distortion or blurring is prone to occur during imaging; the present invention can more effectively adsorb pathological sections through the cooperation of the negative pressure component and the negative pressure hole of the stage, reduce the problems of inconsistent flatness and wrinkles of the sections, improve the imaging quality, and provide a clear and stable image foundation for the precise analysis of the subsequent AI imaging system.

[0017] 2. The compensation component of the present invention can effectively eliminate the errors caused by thickness differences and other factors when imaging pathological slices. The imaging quality can be further optimized by real-time monitoring and adjustment of the slices during scanning.

[0018] 3. The present invention utilizes the cooperation between the first bevel gear and the rotating assembly to accurately rotate the stage and adjust the slice angle according to the diagnostic requirements. Combined with the image processing capability of the AI ​​imaging system, the characteristics of neural tissue can be observed from different angles.

[0019] Furthermore, the longitudinal scanning assembly includes a slide rail and a nut seat that is threadedly engaged with the lead screw, and both ends of the slide rail are fixedly connected to the side walls of the nut seat adjacent to it; a threaded rod is provided on the nut seat, and the threaded rod and the nut seat are both rotationally engaged, and a slider is threadedly engaged on the threaded rod, and the slider and the slide rail are slidingly engaged; a telescopic part is fixedly connected to one side wall of the slider, and the output shaft of the telescopic part is fixedly connected to the electric lens, and the controller is used to control the extension and retraction of the output shaft of the telescopic part to adjust the vertical distance between the electric lens and the pathological section.

[0020] One end of the threaded rod is coaxially fixedly connected with the first bevel gear.

[0021] Beneficial effect: The rotation of the screw drives the nut seat to move, thereby enabling the slide rail and the electric lens to achieve longitudinal displacement on the Y-axis, completing the longitudinal scanning of the pathological slice. The vertical distance between the electric lens and the slice on the X-axis can be flexibly adjusted through the telescopic part, and can adapt to pathological slices of different thicknesses.

[0022] Furthermore, the transverse scanning assembly includes a limit block fixedly connected to the side wall of the rotating shaft, a second bevel gear is sleeved on the rotating shaft, and the second bevel gear is slidably matched with the rotating shaft and the limit block.

[0023] A traction rod is fixedly connected to the side wall of the nut seat close to the rotating shaft, and the second bevel gear and the traction rod are rotationally matched.

[0024] Beneficial effect: When the longitudinal scanning component is working, the second bevel gear and the first bevel gear are meshed. When the second double-headed driving member drives the rotating shaft to rotate, the second bevel gear can slide on the rotating shaft while maintaining rotation, thereby driving the threaded rod to rotate on the nut seat. When the threaded rod rotates, the slider can achieve lateral displacement on the X-axis on the threaded rod, so that the electric lens can achieve lateral movement, so that the electric lens can perform position scanning on the pathological section on the X-axis and Y-axis.

[0025] Furthermore, the rotating assembly includes a base and a rotating rod that passes through the loading platform and rotates with the loading platform. The rotating rod is rotatably equipped with a second bevel gear, which meshes with the first bevel gear. The second bevel gear has a plurality of slide grooves, and the slide grooves are all slidably equipped with iron cores.

[0026] A plurality of electromagnets are embedded in the circumference of the rotating rod at a position where the rotating rod is rotatably matched with the second bevel gear, and the controller is used to control the opening and closing of the electromagnets.

[0027] A rotating shaft is fixedly connected to the top of the base, the top of the rotating shaft and the bottom of the stage are rotatably matched, and a first gear is coaxially fixedly connected to the rotating shaft; a second gear is coaxially fixedly connected to the bottom of the rotating rod, and the second gear is meshed with the first gear.

[0028] Beneficial effects: During the scanning of pathological sections, when medical staff need to rotate the stage, the controller can be used to control the electromagnet to start. After the electromagnet is energized, it generates magnetic force, attracts the iron core in the second bevel gear slot, and forms a rigid connection between the second bevel gear and the rotating rod. At this time, the second double-headed driving member drives the first bevel gear to rotate, and the second bevel gear meshing with it rotates immediately and transmits power to the rotating rod. The second gear coaxially fixedly connected to the bottom of the rotating rod meshes with the first gear on the rotating shaft at the top of the base. The rotation of the rotating rod drives the second gear to rotate, and then drives the first gear and the rotating shaft to rotate, and finally realizes the precise rotation of the stage. This design can control the rotation speed and angle of the stage, fully meet the needs of medical staff in various diagnostic scenarios, comprehensively observe pathological sections from different angles, and more accurately identify the characteristics of neural tissue lesions. At the same time, the rotating component cooperates with the longitudinal and transverse scanning components, so that the device can perform multi-dimensional and all-round scanning and observation of the slices, greatly improving the functionality and practicality of the device.

[0029] Furthermore, the negative pressure assembly includes a third support rod, a piston cylinder is fixedly connected to one side wall of the third support rod, a piston is vertically slidably fitted in the piston cylinder, a piston rod is fixedly connected to the bottom of the piston, a connecting rod is hinged to the bottom end of the piston rod, and the connecting rod is eccentrically hinged to the wheel disc at one end away from the piston rod.

[0030] The piston cylinder is connected with an air inlet pipe and an air outlet pipe, both of which are connected with a one-way valve, and the air inlet pipe and the negative pressure hole are connected.

[0031] Beneficial effect: When the wheel rotates to make the connecting rod pull the piston rod up and down, the piston reciprocates up and down synchronously in the piston cylinder. During the reciprocating motion of the piston, the negative pressure hole on the stage generates a stable and continuous negative pressure, which can tightly adsorb the pathological slices and effectively eliminate the wrinkles caused by the uneven flatness of the slices, greatly ensuring the stability of the slices during the scanning process. The entire negative pressure assembly uses the power source of the equipment itself, with a simple structure and reliable operation. It does not require additional complex power devices, which reduces equipment costs and energy consumption, while improving the overall performance and diagnostic efficiency of the equipment.

[0032] Furthermore, a support rod is fixedly connected to the base, a touch display screen is fixedly connected to the top of the support rod, and the controller is used to control the touch display screen to display images.

[0033] Beneficial effects: The touch screen provides an intuitive and convenient interactive interface for medical staff. Through touch operation, medical staff can set parameters of the device, such as scanning speed, image resolution, etc., and can also easily start, pause or stop the scanning process.

[0034] Furthermore, a number of magnet blocks are fixedly connected to the bottom of the stage, and a Hall sensor is fixedly connected to the top of the base. The controller is used to receive the magnetic induction signal of the magnet block sent by the Hall sensor and send the magnetic induction signal to the AI ​​imaging system.

[0035] Beneficial effects: The magnet block at the bottom of the stage rotates with the stage, and the Hall sensor at the top of the base monitors the magnetic field changes of the magnet block in real time and sends the magnetic induction signal to the controller. The controller further transmits the signal to the AI ​​imaging system, so that the AI ​​imaging system can accurately record the rotation angle and position information of the stage. When the doctor controls the solid pathological slice on the rotating stage, based on the accurate data fed back by the Hall sensor, the AI ​​imaging system can synchronously control the image scanned on the touch screen to rotate accordingly, which can ensure that the image on the touch screen and the solid pathological slice always keep the same orientation. While observing the solid slice, the doctor can intuitively see that the corresponding image is also rotating synchronously, without the need to convert the orientation of the image and the slice in the mind, which reduces the cognitive burden in the diagnosis process and improves the observation efficiency. In addition, this real-time synchronous rotation function helps doctors to more accurately correspond the image details with the actual situation of the solid slice. For example, when identifying the subtle pathological characteristics of neural tissue, more accurate judgments can be made based on the synchronously rotating images and slices, thereby significantly improving the accuracy and reliability of neuropathological diagnosis, optimizing the overall diagnostic process, and providing more efficient and convenient diagnostic support for medical workers.

[0036] Furthermore, the compensation component includes several pressure sensors, each of which is fixedly connected to the top of the stage, and each of which is fixedly connected to a piezoelectric ceramic piece. The controller is used to receive the weight signal of the pathological slice sent by the pressure sensor, and control the piezoelectric ceramic piece to generate strain based on the weight signal.

[0037] Beneficial effects: The pressure sensor senses the weight distribution of the pathological slice placed on the stage in real time and transmits the weight signal to the controller. The controller controls the piezoelectric ceramic sheet to produce corresponding strain based on the weight signal. When the thickness of the pathological slice is uneven, the piezoelectric ceramic sheet adjusts the local support of the slice by deformation to compensate for the imaging error caused by the thickness difference. This real-time monitoring and dynamic adjustment mechanism further optimizes the imaging quality, reduces the image distortion caused by the slice thickness problem, and ensures that the image captured by the electric lens can truly reflect the subtle structure of the pathological slice.

[0038] Furthermore, the base is arranged in a circular shape.

[0039] Beneficial effects: The circular base design makes the stage more stable during rotation. Compared with bases of other shapes, the center of gravity of the circular base is more evenly distributed. When the stage rotates, it can effectively reduce the shaking caused by the center of gravity shift, ensuring that the pathological sections remain stable during scanning and rotation.

[0040] Further, the AI ​​imaging system includes: The control module is electrically connected to the controller. The control module is used to receive the rotation angle and position information of the stage sent by the Hall sensor, and use the controller to synchronously control the image scanned on the touch display screen to rotate accordingly, so that the image is consistent with the orientation of the physical pathological slice; the control module is also used to use the controller to control the first double-headed driving member, the second double-headed driving member and the telescopic member to drive the electric lens to scan the pathological slice.

[0041] The image acquisition module is electrically connected to the electric lens; the image acquisition module is used to obtain image information of the pathological section using the electric lens.

[0042] The image calibration module is used to use a controller to control the first double-headed stepper motor and the second double-headed stepper motor to drive the electric lens to pre-scan the pathological slice and generate pre-scan image information.

[0043] The image analysis module is used to perform image recognition on the pre-scanned image information using AI image recognition technology to identify the tissue density distribution information and position information of the lesion location of the pathological section.

[0044] The image secondary calibration module is used to control the electric lens to perform a secondary scan on the pathological section, and use the tissue density distribution information and position information to generate dynamic compensation instructions for the telescopic part, and send the dynamic compensation instructions for the telescopic part to the controller. The controller controls the telescopic part to adjust the vertical distance between the electric lens and the pathological section.

[0045] When the electric lens is about to reach the location of the lesion on the pathological section where the tissue density is high, the vertical distance between the electric lens and the pathological section is adjusted to decrease to reduce the focal length. When the electric lens is about to reach the location of the lesion on the pathological section where the tissue density is low, the vertical distance between the electric lens and the pathological section is adjusted to increase to increase the focal length.

[0046] Beneficial effects: The control module of the AI ​​imaging system, by working in conjunction with the controller, realizes the real-time synchronous rotation of the touch screen image and the solid pathological slice, reduces the misjudgment caused by the inconsistency between the image and the slice orientation, and improves the diagnostic efficiency and accuracy. At the same time, the image secondary calibration module generates dynamic compensation instructions for the telescopic parts based on the tissue density distribution and other information obtained by the image analysis module, and adjusts the vertical distance between the electric lens and the pathological slice in real time. When the electric lens is close to the area with high tissue density at the lesion location, the vertical distance is reduced and the focal length is reduced to present the details of high-density tissue more clearly; when it is close to the area with low tissue density, the vertical distance is increased and the focal length is increased to avoid image blur caused by improper focal length. This intelligent dynamic compensation mechanism effectively solves the problem of imaging distortion caused by differences in slice thickness and different densities of lesion tissue, greatly optimizes the imaging quality, and ensures that the acquired image can truly and clearly reflect the fine structure of the pathological slice.

[0047] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 An axonometric diagram of the AI-assisted diagnostic device for neuropathology of the present invention.

[0049] Figure 2 for Figure 1 Enlarged view of part A.

[0050] Figure 3 for Figure 1 Enlarged view of part B.

[0051] Figure 4 for Figure 1 Magnified view of part C.

[0052] Figure 5 It is a front view of the AI-assisted diagnostic device for neuropathology of the present invention.

[0053] Figure 6 It is a top sectional view of the rotating component in the AI-assisted diagnostic device for neuropathology of the present invention.

[0054] The figure marks in the drawings of the specification include: 1. stage; 2. negative pressure hole; 3. support plate; 4. first double-headed driving member; 5. first support rod; 6. screw rod; 7. pulley; 8. belt; 9. slide rail; 10. nut seat; 11. threaded rod; 12. slider; 13. telescopic member; 14. electric lens; 15. first bevel gear; 16. second double-headed driving member; 17. second support rod; 18. rotating shaft; 19. limit block; 20. second bevel gear; 21. traction rod; 22. first bevel gear; 23. base; 24. rotating rod; 25. second bevel gear; 26. slide groove; 27. iron core; 28. electromagnet; 29. ​​rotating shaft; 30. first gear; 31. second gear; 32. wheel; 33. piston cylinder; 34. third support rod; 35. connecting rod; 36. intake pipe; 37. exhaust pipe. DETAILED DESCRIPTION

[0055] The following is further described in detail through specific implementation methods: Embodiment 1:

[0056] As attached Figure 1-Figure 6 As shown: an AI-assisted diagnostic device for neuropathology, including a controller, an AI imaging system and a stage 1 for placing pathological slices; a plurality of negative pressure holes 2 are opened on the stage 1; a support plate 3 and a first double-headed driving member 4 are fixedly connected to the top of the stage 1 by screws, and the controller is used to control the rotation of the output shaft of the first double-headed driving member 4; a compensation component for eliminating errors in imaging pathological slices is provided on the stage 1.

[0057] The top of the loading platform 1 is symmetrical and fixedly connected with a first support rod 5 by screws; a screw rod 6 is rotatably engaged with the first support rod 5, one end of the screw rod 6 is coaxially fixedly connected with a pulley 7 by screws, and the other end of the screw rod 6 is rotatably engaged with the support plate 3, and a belt 8 is sleeved between adjacent pulleys 7.

[0058] A longitudinal scanning assembly for longitudinally scanning the pathological slices is provided between adjacent lead screws 6 .

[0059] The top of the stage 1 is also fixedly connected with a second double-headed driving member 16 and a second support rod 17 by screws. The second support rod 17 is rotatably matched with a rotating shaft 18. The rotating shaft 18 is provided with a transverse scanning component for driving the longitudinal scanning component to perform transverse scanning of the pathological slice. The controller is used to control the rotation of the output shaft of the second double-headed driving member 16.

[0060] One end of the rotating shaft 18 is rotatably matched with the support plate 3, and the other end of the rotating shaft 18 is coaxially fixedly connected to one end of the output shaft of the second double-headed driving member 16 by screws, and the other end of the output shaft of the second double-headed driving member 16 is coaxially fixedly connected to the first bevel gear 22 by screws; the first bevel gear 22 is provided with a rotating component for rotating the worktable 1.

[0061] One end of the output shaft of the first double-headed driving member 4 is coaxially fixedly connected to the pulley 7 on one of the lead screws 6 by screws, and the other end of the output shaft of the first double-headed driving member 4 is coaxially fixedly connected to the wheel plate 32 by screws, and the wheel plate 32 is provided with a negative pressure component for causing the negative pressure hole 2 to generate negative pressure to adsorb pathological sections.

[0062] The longitudinal scanning assembly includes a slide rail 9 and a nut seat 10 which is threadedly engaged with the lead screw 6. Both ends of the slide rail 9 are integrally formed with the side walls of the nut seat 10 adjacent thereto. A threaded rod 11 is provided on the nut seat 10. The threaded rod 11 and the nut seat 10 are rotationally engaged. A slider 12 is threadedly engaged on the threaded rod 11. The slider 12 and the slide rail 9 are slidingly engaged. A telescopic member 13 is fixedly connected to one side wall of the slider 12 by screws. The output shaft of the telescopic member 13 is fixedly connected to an electric lens 14 by screws. The controller is used to control the extension and retraction of the output shaft of the telescopic member 13 to adjust the vertical distance between the electric lens 14 and the pathological section. In this embodiment, the telescopic member 13 uses an electric telescopic rod.

[0063] One end of the threaded rod 11 is coaxially fixedly connected to the first bevel gear 15 via a screw.

[0064] The horizontal scanning assembly includes a limit block 19 integrally formed on the side wall of the rotating shaft 18 . A second bevel gear 20 is sleeved on the rotating shaft 18 . The second bevel gear 20 is slidably matched with the rotating shaft 18 and the limit block 19 . The second bevel gear 20 is meshed with the first bevel gear 15 .

[0065] A traction rod 21 is integrally formed on the side wall of the nut seat 10 close to the rotating shaft 18 , and the second bevel gear 20 and the traction rod 21 are rotatably matched.

[0066] The rotating assembly includes a base 23 and a rotating rod 24 that passes through the worktable 1 and rotates with the worktable 1. A second bevel gear 25 is rotatably engaged on the rotating rod 24. The second bevel gear 25 meshes with the first bevel gear 22. A plurality of sliding grooves 26 are circumferentially opened in the second bevel gear 25, and an iron core 27 is slidably engaged in the sliding grooves 26.

[0067] A plurality of electromagnets 28 are embedded in the circumferential direction of the rotating rod 24 at the position where the second bevel gear 25 rotates together, and the controller is used to control the opening and closing of the electromagnets 28 .

[0068] A rotating shaft 29 is integrally formed on the top of the base 23 , and the top of the rotating shaft 29 is rotatably matched with the bottom of the stage 1 . A first gear 30 is coaxially integrally formed on the rotating shaft 29 ; a second gear 31 is coaxially integrally formed on the bottom of the rotating rod 24 , and the second gear 31 meshes with the first gear 30 .

[0069] The negative pressure assembly includes a third support rod 34, on one side wall of which a piston cylinder 33 is fixedly connected by screws, a piston is vertically slidably fitted in the piston cylinder 33, a piston rod is integrally formed at the bottom of the piston, a connecting rod 35 is hinged at the bottom of the piston rod, and the connecting rod 35 is eccentrically hinged to the wheel disc 32 away from one end of the piston rod.

[0070] The piston cylinder 33 is connected with an air intake pipe 36 and an air exhaust pipe 37 , both of which are connected with a one-way valve, and the air intake pipe 36 and the air exhaust pipe 37 are connected. The air intake pipe 36 and the negative pressure hole 2 are connected.

[0071] A support rod is fixedly connected to the base 23 by screws, and a touch screen is fixedly connected to the top of the support rod by screws. The controller is used to control the touch screen to display images.

[0072] A number of magnet blocks are fixedly bonded to the bottom of the stage 1, and a Hall sensor is fixedly connected to the top of the base 23 by screws. The controller is used to receive the magnetic induction signal of the magnet block sent by the Hall sensor and send the magnetic induction signal to the AI ​​imaging system.

[0073] AI imaging system includes: The image acquisition module is electrically connected to the electric lens 14 ; the image acquisition module is used to obtain image information of the pathological section using the electric lens 14 .

[0074] The control module is electrically connected to the controller. The control module is used to receive the magnetic induction signal at the bottom of the stage 1 sent by the Hall sensor, and use the controller to synchronously control the image information scanned on the touch display screen to rotate accordingly; the control module is also used to use the controller to control the first double-headed driving member 4, the second double-headed driving member 16 and the telescopic member 13 to drive the electric lens 14 to scan the pathological section.

[0075] The image calibration module is used to use a controller to control the first double-headed driving member 4 and the second double-headed driving member 16 to drive the electric lens 14 to pre-scan the pathological slice and generate pre-scan image information.

[0076] The image analysis module is used to perform image recognition on the pre-scanned image information using AI image recognition technology to identify the tissue density distribution information and position information of the lesion location of the pathological section.

[0077] The image secondary calibration module is used to control the electric lens 14 to perform a secondary scan on the pathological slice, and use the tissue density distribution information and position information to generate a dynamic compensation instruction for the telescopic component 13, and send the dynamic compensation instruction of the telescopic component 13 to the controller. The controller controls the telescopic component 13 to adjust the vertical distance between the electric lens 14 and the pathological slice.

[0078] When the electric lens 14 is about to reach a position on the pathological section where the tissue density of the lesion is high, the vertical distance between the electric lens 14 and the pathological section is adjusted to decrease to reduce the focal length. When the electric lens 14 is about to reach a position on the pathological section where the tissue density of the lesion is low, the vertical distance between the electric lens 14 and the pathological section is adjusted to increase to increase the focal length.

[0079] The specific implementation process is as follows: First, the medical staff places the pathological section on the stage 1 .

[0080] by Figure 1 For example, then, turn on the device, the controller controls the output shaft of the first double-headed driving member 4 to rotate. In this embodiment, the first double-headed driving member 4 is a first double-headed stepping motor. One end of the output shaft of the first double-headed stepping motor drives the pulley 7 on the screw rod 6 to rotate, and the pulley 7 on the other screw rod 6 is linked by the belt 8, so that the two screw rods 6 rotate synchronously. The rotation of the screw rod 6 drives the nut seat 10 to move along the direction of the screw rod 6, thereby driving the slide rail 9 and the electric lens 14 to achieve longitudinal displacement on the Y axis, and start longitudinal scanning of the surface of the pathological section. At the same time, the controller controls the output shaft of the telescopic member 13 to retract. In this embodiment, the telescopic member 13 uses an electric telescopic rod. The vertical distance between the electric lens 14 and the pathological section is adjusted by the output shaft of the electric telescopic rod to adapt to pathological sections of different thicknesses, ensuring that the focal length between the pathological section and the electric lens 14 can be clearly imaged.

[0081] Combination Figure 3 As shown, when it is necessary to perform longitudinal scanning on the pathological slice, the controller sends a control signal to control the output shaft of the second double-headed driving member 16 to rotate. In this embodiment, the second double-headed driving member 16 is a second double-headed stepping motor. The output shaft of the second double-headed stepping motor drives the rotating shaft 18 to rotate. The limit block 19 on the rotating shaft 18 limits the axial position of the second bevel gear 20, so that it rotates synchronously with the rotating shaft 18. The second bevel gear 20 drives the first bevel gear 15 to rotate, and then drives the threaded rod 11 to rotate on the nut seat 10, so that the slider 12 can achieve lateral displacement on the X axis on the threaded rod 11, so that the electric lens 14 can move in the lateral direction, and the electric lens 14 can scan the pathological slice in the X-axis and Y-axis directions. At the same time, when the nut seat 10 moves, it can drive the traction rod 21 to move, and the traction rod 21 can drive the second bevel gear 20 to slide on the rotating shaft 18, and can also keep the second bevel gear 20 rotating on the traction rod 21.

[0082] Combination Figure 1 and Figure 5 As shown, when it is necessary to rotate the stage 1 to adjust the direction of the slice for the medical staff to observe, the medical staff controls the electromagnet 28 to start through the controller. At this time, the electromagnet 28 generates magnetic force after being energized, attracts the iron core 27 in the slide slot 26 of the second bevel gear 25, so that a rigid connection is formed between the second bevel gear 25 and the rotating rod 24. At this time, the output shaft at the other end of the second double-headed stepper motor drives the first bevel gear 22 to rotate, and the second bevel gear 25 meshing therewith rotates immediately, and transmits power to the rotating rod 24, and the rotating rod 24 rotates immediately. The rotation of the rotating rod 24 drives the second gear 31 to revolve around the first gear 30, thereby driving the stage 1 that rotates with the rotating shaft 29 to rotate, and finally realizing a 360° rotation of the stage 1. At this time, the magnet block at the bottom of the stage 1 rotates with the stage 1, and the Hall sensor at the top of the base 23 monitors the change in the magnetic field direction of the magnet block in real time, and sends the magnetic induction signal to the controller, which further transmits the signal to the AI ​​imaging system, so that the AI ​​imaging system can accurately record the rotation angle and position information of the stage 1. Based on the rotation angle and position information, the AI ​​imaging system can synchronously control the image scanned on the touch screen to rotate accordingly, ensuring that the image on the touch screen always maintains the same orientation as the physical pathology section.

[0083] When doctors observe the physical slices, they can intuitively see that the corresponding images are also rotating synchronously. There is no need to convert the orientation of the images and slices in their minds, which reduces the cognitive burden in the diagnosis process and improves the efficiency of observation. In addition, this real-time synchronous rotation function helps doctors more accurately match the image details with the actual situation of the physical slices. For example, when identifying subtle pathological features of nerve tissue, more accurate judgments can be made based on the synchronously rotating images and slices, thereby significantly improving the accuracy and reliability of neuropathological diagnosis, optimizing the overall diagnostic process, and providing more efficient and convenient diagnostic support for medical workers.

[0084] Combination Figure 4 As shown, during the scanning of the pathological slice by the electric lens 14, the wheel disc 32 at the other end of the output shaft of the first double-headed stepper motor rotates synchronously. The connecting rod 35 eccentrically hinged to the wheel disc 32 pushes the piston rod to reciprocate up and down, so that the piston reciprocates up and down synchronously in the piston cylinder 33. During the reciprocating motion of the piston, under the action of the one-way valve in the air inlet pipe 36 and the exhaust pipe 37, the negative pressure hole 2 on the stage 1 generates a stable and continuous negative pressure, which tightly adsorbs the pathological slice on the stage 1, effectively eliminating the wrinkles caused by the inconsistent flatness of the slice, and ensuring the stability of the slice during the scanning process.

[0085] The scanned pathological section images are transmitted to the AI ​​imaging system.

[0086] Medical staff can set parameters such as scanning speed and image resolution through the touch screen, and can also easily start, pause or stop the scanning process, while observing the scanned image in real time and adjusting the scanning process as needed. Finally, based on the analysis results of the AI ​​imaging system and the observation of the physical pathological sections, medical staff make a neuropathological diagnosis.

[0087] During the process of the electric lens 14 scanning the pathological slice, the image calibration module of the AI ​​imaging system plays a role. The controller controls the first double-headed stepper motor and the second double-headed stepper motor to drive the electric lens 14 to pre-scan the pathological slice and generate pre-scan image information. Subsequently, the image analysis module uses AI image recognition technology to process the pre-scan image information and identify the tissue density distribution information and position information of the lesion position of the pathological slice.

[0088] When the electric lens 14 officially starts the secondary scan, the image secondary calibration module generates a dynamic compensation instruction for the electric telescopic rod according to the tissue density distribution information and position information obtained by the image analysis module, and sends the instruction to the controller.

[0089] When the electric lens 14 is about to reach the position of the lesion on the pathological section where the tissue density is high, the controller receives a dynamic compensation instruction, controls the electric telescopic rod to shorten, and reduces the vertical distance between the electric lens 14 and the pathological section, thereby reducing the focal length, so that the electric lens 14 can more clearly capture the fine structure of the high-density tissue. On the contrary, when the electric lens 14 is about to reach the position of the lesion on the pathological section where the tissue density is low, the controller controls the electric telescopic rod to extend, increase the vertical distance between the electric lens 14 and the pathological section, increase the focal length, avoid image blur due to improper focal length, and ensure that low-density tissue areas can also be clearly imaged. Through this dynamic compensation mechanism, the electric lens 14 can adjust the vertical distance between the pathological section in real time and accurately during the scanning process according to the tissue density characteristics of different areas of the pathological section, effectively overcome the imaging distortion caused by differences in slice thickness and uneven density of lesion tissue, greatly improve the imaging quality, and provide clear and reliable image data support for the in-depth analysis of the subsequent AI imaging system and the accurate diagnosis of medical staff.

[0090] Embodiment 2:

[0091] As attached Figure 1 As shown, the difference from Example 1 is that the compensation component includes a plurality of pressure sensors, and the pressure sensors are fixedly bonded to the top of the stage 1. A piezoelectric ceramic sheet is fixedly bonded to the top of the pressure sensor. The controller is used to receive the weight signal of the pathological slice sent by the pressure sensor, and control the piezoelectric ceramic sheet to generate strain based on the weight signal.

[0092] The specific implementation process is as follows: When the pathological slice is placed on the negative pressure hole 2 on the stage 1, the pressure sensor senses the weight distribution of the pathological slice placed on the stage 1 in real time and transmits the weight signal to the controller. The controller controls the piezoelectric ceramic sheet on the pressure sensor to produce corresponding strain according to the weight signal. When the thickness of the pathological slice is uneven, the piezoelectric ceramic sheet adjusts the local support of the slice by deformation to compensate for the imaging error caused by the thickness difference. This real-time monitoring and dynamic adjustment mechanism further optimizes the imaging quality, reduces the image distortion caused by the slice thickness problem, and ensures that the image captured by the electric lens 14 can truly reflect the fine structure of the pathological slice.

[0093] Embodiment 3:

[0094] As attached Figure 1 As shown, the difference from Embodiment 2 is that the base 23 is arranged in a circular shape.

[0095] The specific implementation process is as follows: The circular base 23 design makes the stage 1 more stable during rotation. Compared with bases 23 of other shapes, the center of gravity of the circular base 23 is more evenly distributed, which can effectively reduce the shaking caused by the center of gravity shift when the stage 1 rotates, ensuring that the pathological slices remain stable during scanning and rotation.

[0096] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. An AI-assisted diagnostic device for neuropathology, comprising a stage (1) for placing pathological sections, characterized in that: It also includes a controller and an AI imaging system; a plurality of negative pressure holes (2) are opened on the stage (1); a support plate (3) and a first double-headed driving member (4) are fixedly connected to the top of the stage (1), and the controller is used to control the rotation of the output shaft of the first double-headed driving member (4); a compensation component for eliminating errors in imaging of pathological sections is provided on the stage (1); The top of the loading platform (1) is symmetrically and fixedly connected to a first support rod (5); the first support rod (5) is rotatably matched with a screw rod (6), one end of the screw rod (6) is coaxially fixedly connected to a pulley (7), the other end of the screw rod (6) is rotatably matched with the support plate (3), and a belt (8) is sleeved between adjacent pulleys (7); A longitudinal scanning component for longitudinally scanning the pathological slice is provided between adjacent screw rods (6); A second double-headed driving member (16) and a second support rod (17) are also fixedly connected to the top of the stage (1); a rotating shaft (18) is rotatably engaged with the second support rod (17); a transverse scanning component is provided on the rotating shaft (18) for driving the longitudinal scanning component to perform transverse scanning on the pathological slice; and a controller is used to control the rotation of the output shaft of the second double-headed driving member (16); One end of the rotating shaft (18) is rotatably matched with the support plate (3), the other end of the rotating shaft (18) is coaxially fixedly connected to one end of the output shaft of the second double-headed driving member (16), and the other end of the output shaft of the second double-headed driving member (16) is coaxially fixedly connected to the first bevel gear (22); the first bevel gear (22) is provided with a rotating assembly for rotating the stage (1); One end of the output shaft of the first double-headed driving member (4) is coaxially fixedly connected to a pulley (7) on one of the lead screws (6), and the other end of the output shaft of the first double-headed driving member (4) is coaxially fixedly connected to a wheel disc (32), and the wheel disc (32) is provided with a negative pressure component for causing the negative pressure hole (2) to generate negative pressure to adsorb pathological sections.

2. The AI-assisted diagnostic device for neuropathology according to claim 1, characterized in that: The longitudinal scanning assembly comprises a slide rail (9) and a nut seat (10) both of which are threadedly engaged with the lead screw (6), wherein both ends of the slide rail (9) are fixedly connected to the side wall of the nut seat (10) adjacent thereto; a threaded rod (11) is provided on the nut seat (10), wherein the threaded rod (11) and the nut seat (10) are both rotationally engaged, and a slider (12) is threadedly engaged on the threaded rod (11), wherein the slider (12) and the slide rail (9) are slidably engaged; a telescopic member (13) is fixedly connected to one side wall of the slider (12), wherein the output shaft of the telescopic member (13) is fixedly connected to the electric lens (14), and a controller is used to control the output shaft of the telescopic member (13) to extend and retract, thereby adjusting the vertical distance between the electric lens (14) and the pathological slice; One end of the threaded rod (11) is coaxially and fixedly connected to a first bevel gear (15).

3. The AI-assisted diagnostic device for neuropathology according to claim 2, characterized in that: The transverse scanning assembly comprises a stop block (19) fixedly connected to a side wall of the rotating shaft (18); a second bevel gear (20) is sleeved on the rotating shaft (18); the second bevel gear (20) is slidably matched with the rotating shaft (18) and the stop block (19); and the second bevel gear (20) is meshed with the first bevel gear (15); A traction rod (21) is fixedly connected to a side wall of the nut seat (10) close to the rotating shaft (18), and the second bevel gear (20) and the traction rod (21) are rotatably matched.

4. The AI-assisted diagnostic device for neuropathology according to claim 3, characterized in that: The rotating assembly comprises a base (23) and a rotating rod (24) penetrating the object platform (1) and rotatably engaged with the object platform (1); a second bevel gear (25) is rotatably engaged with the rotating rod (24); the second bevel gear (25) is meshed with the first bevel gear (22); a plurality of slide grooves (26) are formed in the inner circumference of the second bevel gear (25); and an iron core (27) is slidably engaged in each of the slide grooves (26); A plurality of electromagnets (28) are embedded in the circumferential direction of the rotating rod (24) at a position where the rotating rod (24) is rotatably engaged with the second bevel gear (25), and a controller is used to control the opening and closing of the electromagnets (28); A rotating shaft (29) is fixedly connected to the top of the base (23), the top of the rotating shaft (29) and the bottom of the stage (1) are rotatably matched, and a first gear (30) is coaxially fixedly connected to the rotating shaft (29); a second gear (31) is coaxially fixedly connected to the bottom of the rotating rod (24), and the second gear (31) is meshed with the first gear (30).

5. The AI-assisted diagnostic device for neuropathology according to claim 4, characterized in that: The negative pressure assembly comprises a third support rod (34), a piston cylinder (33) is fixedly connected to a side wall of the third support rod (34), a piston is vertically slidably fitted in the piston cylinder (33), a piston rod is fixedly connected to the bottom of the piston, a connecting rod (35) is hinged to the bottom end of the piston rod, and the connecting rod (35) is eccentrically hinged to the wheel disc (32) at one end away from the piston rod; The piston cylinder (33) is connected to an air intake pipe (36) and an air exhaust pipe (37), both of which are connected to one-way valves, and the air intake pipe (36) and the air exhaust pipe (37) are connected to the negative pressure hole (2).

6. The AI-assisted diagnostic device for neuropathology according to claim 5, characterized in that: A support rod is fixedly connected to the base (23), a top end of the support rod is fixedly connected to a touch display screen, and the controller is used to control the touch display screen to display an image.

7. The AI-assisted diagnostic device for neuropathology according to claim 6, characterized in that: A plurality of magnet blocks are fixedly connected to the bottom of the stage (1), a Hall sensor is fixedly connected to the top of the base (23), and the controller is used to receive magnetic induction signals of the magnet blocks sent by the Hall sensor and send the magnetic induction signals to the AI ​​imaging system.

8. The AI-assisted diagnostic device for neuropathology according to claim 7, characterized in that: The compensation component includes a plurality of pressure sensors, each of which is fixedly connected to the top of the stage (1), and each of which is fixedly connected to a piezoelectric ceramic sheet. The controller is used to receive a weight signal of the pathological slice sent by the pressure sensor, and to control the piezoelectric ceramic sheet to generate strain based on the weight signal.

9. The AI-assisted diagnostic device for neuropathology according to claim 8, characterized in that: The base (23) is arranged in a circular shape.

10. The AI-assisted diagnostic device for neuropathology according to claim 9, characterized in that: AI imaging system includes: An image acquisition module electrically connected to the electric lens (14); the image acquisition module is used to acquire image information of the pathological section using the electric lens (14); A control module is electrically connected to the controller, the control module is used to receive a magnetic induction signal from the bottom of the stage (1) sent by the Hall sensor, and synchronously control the image information scanned on the touch display screen to rotate accordingly using the controller; the control module is also used to control the first double-headed driving member (4), the second double-headed driving member (16) and the telescopic member (13) to drive the electric lens (14) to scan the pathological slice using the controller; An image calibration module, used for controlling the first double-headed driving member (4) and the second double-headed driving member (16) by using a controller to drive the electric lens (14) to pre-scan the pathological slice and generate pre-scan image information; An image analysis module is used to perform image recognition on the pre-scanned image information using AI image recognition technology to identify the tissue density distribution information and position information of the lesion position of the pathological section; An image secondary calibration module, used to control the electric lens (14) to perform a secondary scan on the pathological slice, and to generate a dynamic compensation instruction for the telescopic member (13) using the tissue density distribution information and the position information, and to send the dynamic compensation instruction for the telescopic member (13) to the controller, so that the controller controls the telescopic member (13) to adjust the vertical distance between the electric lens (14) and the pathological slice; When the electric lens (14) is about to reach a position on the pathological section where the tissue density of the lesion is high, the vertical distance between the electric lens (14) and the pathological section is adjusted to decrease to reduce the focal length; when the electric lens (14) is about to reach a position on the pathological section where the tissue density of the lesion is low, the vertical distance between the electric lens (14) and the pathological section is adjusted to increase to increase the focal length.

Images