An artificial intelligence-based biochip precise recognition device

Abstract

The utility model belongs to the biological chip identification detection technical field, a kind of biological chip precision identification device based on artificial intelligence, including bearing table, clamping mechanism and identification unit, when using, biological chip is placed into the placing groove of bearing table first, and clamping mechanism is installed by the positioning pin of clamping frame and the positioning hole cooperation of bearing table;Start air cylinder, drive guide rod to drive pushboard to move inwards, arc elastic tablet adaptation chip thickness deformation clamping, pressure sensor real-time monitoring clamping force, and the elastic pre-tightening ring in placing groove is pressed and adheres to chip lower surface. After adjusting the level of supporting leg and adjusting bearing table level, open the light source on pedestal, and light is irradiated chip through transparent observation mirror;Start elevator, drive identification table to lift along the sliding groove of T-shaped guide column, adjust the distance between image recognizer and chip to realize focusing. AI auxiliary detection unit feedback light path deviation and clamping force state, user reference fine adjustment, complete the precision identification detection of biological chip.

Description

Technical Field

[0001] This invention belongs to the field of biochip identification and detection technology, specifically a biochip precision identification device based on artificial intelligence. Background Technology

[0002] Biochips, as important tools in life science research and clinical testing, enable high-throughput analysis of biological samples such as cells, proteins, and nucleic acids, playing a crucial role in disease diagnosis, drug screening, and gene sequencing. To accurately acquire sample information from biochips, various biochip identification devices have emerged. Their core function is to capture biological signals on the chip through optical imaging components and, combined with relevant technologies, to identify and analyze sample information, providing data support for researchers and medical professionals and promoting research progress and application in the biomedical field.

[0003] In practical applications, biochips vary widely in size and thickness, and different chip specifications are often used under different research scenarios and detection requirements. Meanwhile, precise focusing is crucial for ensuring clear imaging and accurate sample identification. While existing devices can achieve basic chip clamping and imaging functions, there is still room for improvement in adaptability and focusing operations. For example, they lack flexible adaptability to biochips of different sizes and thicknesses, easily leading to unstable clamping or inconsistent reference planes. During focusing, the stability and ease of adjustment of the identification unit's movement guidance need improvement, which may affect focusing efficiency and accuracy, thus impacting subsequent identification results. Utility Model Content

[0004] To address the problems mentioned in the background art, this utility model provides an artificial intelligence-based biochip precision identification device to solve the problems of adapting to biochips of different sizes and thicknesses and facilitating focusing.

[0005] To achieve the above objectives, this utility model provides the following technical solution: a biochip precision identification device based on artificial intelligence, characterized in that it includes a support platform, a clamping mechanism, and an identification unit. The support platform is generally configured as a rectangular plate with a placement groove adapted to the shape of the biochip in the center, and the placement groove is filled with an elastic pre-tightening ring. The clamping mechanism is generally frame-shaped and is detachable, consisting of a clamping frame, a cylinder, a guide rod, and a push plate. The clamping frame is installed on the top surface of the support platform. The cylinder is embedded in the four sides of the clamping frame, and the cylinder output end faces the center of the placement groove. The guide rod is slidably connected to the cylinder output end and extends through the clamping frame towards the center of the clamping frame. The push plate is welded to the exposed end of the guide rod and slides with the guide rod. T-shaped guide posts are welded to the four corners of the outer side of the support platform, and the identification unit is slidably installed on the guide posts.

[0006] Optionally, the recognition unit includes a recognition platform, an image recognizer, and a lift. The recognition platform has sliding grooves with the same shape as the guide posts at its four corners. The image recognizer is fixed in the central through hole of the recognition platform, with the image recognizer lens facing vertically downwards and directly towards the center of the groove. The lift is symmetrically installed on the left and right sides of the support platform at two opposite corners and abuts against the outer side of the guide posts. The output end of the lift is vertically upwards connected to the bottom surface of the recognition platform, driving the recognition platform to rise and fall.

[0007] Optionally, the bottom of the placement slot is provided with a through hole to accommodate the transparent observation lens, and the bottom of the support platform is provided with a rectangular plate-shaped base. The base is connected to the bottom surface of the support platform through leveling legs. The leveling legs and the support platform are connected by ball joints, and the top surface of the base is fixed to the bottom end of the elevator. A light source is installed at the center of the top surface of the base, and the direction of the light source is vertically upward. The light source is aligned with the axis of the transparent observation lens and the image recognition lens.

[0008] Optionally, the elastic pre-tightening ring 3 is made of silicone, with a circular arc cross-section. Its height in its natural state is 0.3-0.5 mm higher than the depth of the placement groove. When compressed, it completely adheres to the lower surface of the biochip with a fitting gap of ≤1 μm.

[0009] Optionally, positioning pins are embedded at the four corners of the top surface of the clamping frame, and positioning holes with the same shape as the positioning pins are formed on the bearing platform. The clamping frame realizes the installation and disassembly of the clamping mechanism by connecting the positioning pins and the positioning holes.

[0010] Optionally, the push plate is connected to an arc-shaped elastic pressure plate, which is symmetrical from top to bottom and has an inner surface inclined at 20-30°. It is used to clamp biochips of different thicknesses to keep their reference surface height constant. A pressure sensor is also embedded in the center of the push plate to detect the clamping force in real time. When the force exceeds 0.5N, a signal is output to prevent damage to the chip.

[0011] Optionally, it also includes an AI-assisted detection unit, which is electrically connected to an image recognizer and a pressure sensor. The AI-assisted detection unit is used to receive chip images collected by the image recognizer, identify alignment deviations between the edges and the optical path, receive clamping force signals from the pressure sensor, determine whether there is an overload, and output visual deviation feedback for users to refer to and fine-tune.

[0012] Compared with the prior art, the beneficial effects of this utility model are as follows: In this invention, the arc-shaped elastic pressure plate on the push plate adopts a 20-30° inclined design and is symmetrically distributed vertically. Its elastic structure can flexibly deform according to the chip thickness, effectively adapting to biochips of different thicknesses and avoiding clamping offset caused by thickness differences, ensuring that the chip detection reference surface remains consistent. The silicone elastic pre-tightening ring in the placement groove is naturally 0.3-0.5mm higher than the groove depth. After being compressed, it can tightly fit the lower surface of chips of different sizes. Combined with the push plate driven by four-sided cylinders for synchronous clamping, it can adapt to biochips of various sizes, ensuring a tight fit between the chip and the placement groove, and reducing the problem of uneven clamping stress caused by size differences through elastic buffering. In addition, the detachable design of the clamping mechanism also provides convenience for structural adjustment when adapting to chips of special sizes. In this invention, the T-shaped guide posts at the four corners of the support platform precisely match the sliding grooves of the recognition platform, providing stable guiding constraints for the lifting and lowering of the recognition unit. This effectively reduces lateral offset during the movement of the recognition platform, ensuring that the image recognizer lens is always aligned with the center area of ​​the chip, thus laying a stable foundation for focusing operations. The lifting mechanism is symmetrically installed at two opposite corners of the support platform, directly driving the recognition platform to rise and fall vertically along the guide posts. This allows for flexible adjustment of the distance between the image recognizer and the chip, meeting different focusing adjustment needs. The AI-assisted detection unit can receive image information collected by the image recognizer, identify optical path alignment deviations, and output visual feedback, helping users quickly determine the focusing status, reducing the tedious operation of repeated adjustments, and improving focusing efficiency and accuracy. Attached Figure Description

[0013] Figure 1 This is a front view of the overall structure of this utility model; Figure 2 This is a schematic diagram of the clamping mechanism in this utility model; Figure 3 This is a schematic diagram of the cylinder structure in this utility model; Figure 4 This is an exploded view of the support platform and clamping frame in this utility model; In the picture: 1. Support platform; 2. Placement slot; 3. Elastic preload ring; 4. Clamping frame; 5. Cylinder; 6. Guide rod; 7. Push plate; 8. Guide column; 9. Recognition platform; 10. Image recognizer; 11. Lifting platform; 12. Sliding groove; 13. Transparent observation mirror; 14. Base; 15. Light source; 16. Positioning pin; 17. Elastic pressure plate; 18. Pressure sensor; 19. Leveling support leg. Detailed Implementation

[0014] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0015] like Figures 1 to 4 As shown, this utility model provides a precise biochip identification device based on artificial intelligence. It is characterized by comprising a support platform 1, a clamping mechanism, and an identification unit. The support platform 1 is generally rectangular with a centrally located placement groove 2 adapted to the shape of the biochip. The placement groove 2 is filled with an elastic pre-tightening ring 3. The clamping mechanism is generally frame-shaped and detachable, consisting of a clamping frame 4, a cylinder 5, a guide rod 6, and a push plate 7. The clamping frame 4 is mounted on the top surface of the support platform 1. The cylinder 5 is embedded in the four sides of the clamping frame 4, with its output end facing the center of the placement groove 2. The guide rod 6 is slidably connected to the output end of the cylinder 5 and extends through the clamping frame 4 towards its center. The push plate 7 is welded to the exposed end of the guide rod 6 and slides along with it. T-shaped guide posts 8 are welded to the four corners of the outer side of the support platform 1, and the identification unit is slidably mounted on the guide posts 8.

[0016] Specifically, in terms of adapting to biochips of different sizes and thicknesses, the arc-shaped elastic pressure plate 17 on the push plate 7 adopts a 20-30° inclined design and is symmetrically distributed vertically. Its elastic structure can flexibly deform according to the chip thickness, effectively adapting to biochips of different thicknesses and avoiding clamping offset caused by thickness differences, ensuring that the chip detection reference surface remains consistent. The silicone elastic pre-tightening ring 3 in the placement groove 2 is 0.3-0.5mm higher than the groove depth in its natural state. After being pressed, it can fit tightly against the lower surface of chips of different sizes. With the push plate 7 driven by the four-sided cylinder 5, it can clamp synchronously and adapt to biochips of various sizes. It not only ensures the tight fit between the chip and the placement groove 2, but also reduces the problem of uneven clamping stress caused by size differences through elastic buffering. In addition, the detachable design of the clamping mechanism, through the positioning pins 16 at the four corners of the clamping frame 4 and the positioning holes of the support platform 1, enables quick assembly and disassembly, which also provides convenience for structural adjustment when adapting to chips of special sizes.

[0017] The recognition unit includes a recognition platform 9, an image recognizer 10, and a lift 11. The recognition platform 9 has sliding grooves 12 with the same shape as the guide column 8 at its four corners. The image recognizer 10 is fixed in the central through hole of the recognition platform 9, with the lens of the image recognizer 10 facing vertically downwards and directly towards the center of the placement groove 2. The lift 11 is symmetrically installed on the left and right sides of the support platform 1 at two opposite corners and abuts against the outer side of the guide column 8. The output end of the lift 11 is vertically upwards connected to the bottom surface of the recognition platform 9, driving the recognition platform 9 to rise and fall.

[0018] The bottom of the placement slot 2 is provided with a through hole to accommodate the transparent observation lens 13. The bottom of the support platform 1 is provided with a rectangular plate-shaped base 14. The base 14 is connected to the bottom surface of the support platform 1 through a leveling support leg 19. The leveling support leg 19 and the support platform 1 are connected by a ball joint. The top surface of the base 14 is fixed to the bottom end of the elevator 11. A light source 15 is installed at the center of the top surface of the base 14. The light source 15 is vertically upward and is aligned with the axis of the transparent observation lens 13 and the lens of the image recognizer 10.

[0019] The elastic pre-tightening ring 3 is made of silicone and has an arc-shaped cross-section. Its height in its natural state is 0.3-0.5 mm higher than the depth of the placement groove 2. When compressed, it completely adheres to the lower surface of the biochip with a fitting gap of ≤1 μm.

[0020] The clamping frame 4 has positioning pins 16 embedded at the four corners of its top surface. The bearing platform 1 has positioning holes that match the shape of the positioning pins 16. The clamping frame 4 achieves the installation and disassembly of the clamping mechanism by connecting the positioning pins 16 and the positioning holes.

[0021] The push plate 7 is connected to an arc-shaped elastic pressure plate 17. The elastic pressure plate 17 is symmetrical about the top and bottom and its inner surface is inclined at 20-30°. It is used to clamp biochips of different thicknesses to keep their reference surface height unchanged. A pressure sensor 18 is also embedded in the center of the push plate 7 to detect the clamping force in real time. When the force exceeds 0.5N, a signal is output to prevent damage to the chip.

[0022] Specifically, regarding focusing convenience, the T-shaped guide posts 8 at the four corners of the support platform 1 precisely cooperate with the sliding grooves 12 of the recognition platform 9, providing stable guiding constraints for the lifting and lowering of the recognition unit. This effectively reduces the lateral offset when the recognition platform 9 moves, ensuring that the lens of the image recognizer 10 is always aligned with the center area of ​​the chip, laying a stable foundation for focusing operations. The lifting mechanism 11 is symmetrically installed at two opposite corners of the support platform 1, directly driving the recognition platform 9 to rise and fall vertically along the guide posts 8. It can flexibly adjust the distance between the image recognizer 10 and the chip to meet the focusing adjustment under different imaging requirements. The AI-assisted detection unit can receive the image information collected by the image recognizer 10, identify optical path alignment deviations, and output visual feedback to help users quickly judge the focusing status, reduce the tedious operation of repeated adjustments, and improve focusing efficiency and accuracy.

[0023] A biochip precision identification device based on artificial intelligence is characterized in that it further includes an AI-assisted detection unit, which is electrically connected to an image recognizer 10 and a pressure sensor 18. The AI-assisted detection unit is used to receive chip images collected by the image recognizer 10, identify the alignment deviation between the edge and the optical path, receive the clamping force signal from the pressure sensor 18, determine whether there is an overload, and output visual deviation feedback for users to refer to and fine-tune.

[0024] The working principle and usage process of this utility model are as follows: In use, the biochip is first placed in the placement slot 2 of the support platform 1. The clamping mechanism is installed by the positioning pin 16 of the clamping frame 4 engaging with the positioning hole of the support platform 1. The cylinder 5 is activated, driving the guide rod 6 to move the push plate 7 inward. The arc-shaped elastic pressure plate 17 adapts to the chip's thickness deformation and clamps it. The pressure sensor 18 monitors the clamping force in real time. The elastic pre-tightening ring 3 in the placement slot 2 is pressed and adheres to the lower surface of the chip. After adjusting the level of the support platform 1 by adjusting the leveling feet 19, the light source 15 on the base 14 is turned on, and light shines on the chip through the transparent observation lens 13. The lifting mechanism 11 is activated, driving the recognition platform 9 to rise and fall along the sliding groove 12 of the T-shaped guide column 8. The distance between the image recognizer 10 and the chip is adjusted to achieve focus. The AI-assisted detection unit receives the image collected by the image recognizer 10 and the signal from the pressure sensor 18, providing feedback on the optical path deviation and clamping force status. The user makes fine adjustments based on this feedback, completing the accurate recognition and detection of the biochip.

[0025] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0026] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the present invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A biochip-based precision identification device based on artificial intelligence, characterized in that, The device includes a support platform (1), a clamping mechanism, and an identification unit. The support platform (1) is generally rectangular and has a placement slot (2) in the center that is adapted to the shape of a biochip. The placement slot (2) is filled with an elastic pre-tightening ring (3). The clamping mechanism is generally frame-shaped and is detachable. It consists of a clamping frame (4), a cylinder (5), a guide rod (6), and a push plate (7). The clamping frame (4) is installed on the top surface of the support platform (1). The cylinder (5) is embedded in the four sides of the clamping frame (4), and the output end of the cylinder (5) is directly facing the center of the placement slot (2). The guide rod (6) is slidably connected to the output end of the cylinder (5) and extends through the clamping frame (4) toward the center of the clamping frame (4). The push plate (7) is welded to the exposed end of the guide rod (6) and slides with the guide rod (6). T-shaped guide posts (8) are welded to the four corners of the outer side of the support platform (1). The identification unit is slidably installed on the guide post (8).

2. The artificial intelligence-based biochip precision identification device according to claim 1, characterized in that, The recognition unit includes a recognition platform (9), an image recognizer (10), and a lift (11). The recognition platform (9) has sliding grooves (12) with the same shape as the guide column (8) at its four corners. The image recognizer (10) is fixed in the central through hole of the recognition platform (9). The lens of the image recognizer (10) is vertically downward and faces the center of the placement groove (2). The lift (11) is symmetrically installed on the left and right sides of the support platform (1) at two opposite corners and abuts against the outer side of the guide column (8). The output end of the lift (11) is vertically upward and connected to the bottom surface of the recognition platform (9) to drive the recognition platform (9) to rise and fall.

3. The artificial intelligence-based biochip precision identification device according to claim 1, characterized in that, The bottom of the placement slot (2) is provided with a through hole for accommodating the transparent observation lens (13). The bottom of the support platform (1) is provided with a rectangular plate-shaped base (14). The base (14) is connected to the bottom surface of the support platform (1) through a leveling support (19). The leveling support (19) and the support platform (1) are connected by a ball joint. The top surface of the base (14) is fixed to the bottom end of the elevator (11). A light source (15) is installed at the center of the top surface of the base (14). The light source (15) is vertically upward. The light source (15) is aligned with the axis of the transparent observation lens (13) and the lens of the image recognition device (10).

4. The artificial intelligence-based biochip precision identification device according to claim 1, characterized in that, The elastic pre-tightening ring (3) is made of silicone and has a circular arc cross-section. Its height in its natural state is 0.3-0.5 mm higher than the depth of the placement groove (2). When compressed, it is completely attached to the lower surface of the biochip with a gap of ≤1 μm.

5. The artificial intelligence-based biochip precision identification device according to claim 1, characterized in that, The clamping frame (4) has positioning pins (16) embedded at the four corners of its top surface. The bearing platform (1) has positioning holes that match the shape of the positioning pins (16). The clamping frame (4) can be installed and disassembled by connecting the positioning pins (16) and the positioning holes.

6. The artificial intelligence-based biochip precision identification device according to claim 1, characterized in that, The push plate (7) is connected to an arc-shaped elastic pressure plate (17). The elastic pressure plate (17) is symmetrical about the top and bottom and its inner surface is inclined at 20-30°. It is used to clamp biochips of different thicknesses so that their reference surface height remains unchanged. A pressure sensor (18) is also embedded in the center of the push plate (7) to detect the clamping force in real time. When the force value exceeds 0.5N, a signal is output to prompt and avoid damaging the chip.

7. The artificial intelligence-based biochip precision identification device according to claim 1, characterized in that, It also includes an AI-assisted detection unit, which is electrically connected to the image recognizer (10) and the pressure sensor (18). The AI-assisted detection unit is used to receive the chip image collected by the image recognizer (10), identify the alignment deviation between the edge and the optical path, receive the clamping force signal of the pressure sensor (18), determine whether there is an overload, and output a visual deviation feedback for the user to refer to and fine-tune.

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