Mouse spinal cord clamp injury model construction system and method thereof

By using a gripper system driven by a robotic arm, combined with pressure and displacement sensors, the clamping force is adjusted in real time to match the diameter of the mouse spinal cord, which solves the problem of inconsistent damage caused by individual differences and improves the reproducibility and statistical power of the experiment.

CN121421723APending Publication Date: 2026-01-30THE THIRD AFFILIATED HOSPITAL OF SUN YAT SEN UNIV +1
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Patent Information

Application Number
CN202511698470.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-19
Publication Date
2026-01-30

AI Technical Summary

Technical Problem

Existing mouse clamp injury models suffer from inconsistent injury severity due to individual differences, affecting the reliability and reproducibility of experimental results.

Method used

The clamping system, driven by a robotic arm, combines pressure and displacement sensors to adjust the clamping force in real time to match the diameter of the mouse's spinal cord, ensuring consistent injury. It also includes an optical imaging and measurement module to build a 3D map and plan a collision-free movement path.

Benefits of technology

This improved the reproducibility and statistical power of the experiment, ensuring that the spinal cords of mice of different sizes were subjected to the same degree of compression, resulting in damage of consistent severity.

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Abstract

The invention relates to the technical field of mouse spinal cord modeling, in particular to a mouse spinal cord clamp injury model construction system and method, the system comprises a mechanical arm, a clamp, a data processing and control module and an optical imaging and measuring module, at least one clamping surface of the clamp is provided with a pressure sensor, and the pressure sensor is connected with the mechanical arm. A displacement sensor is arranged on each clamping arm of the clamp; the mechanical arm is connected with the clamp and used for driving the clamp to move, open and close; the pressure sensor, the displacement sensor, the mechanical arm and the optical imaging and measuring module are all in signal connection with the data processing and control module. The defect that in the prior art, due to individual differences of mice, the damage degrees of models under the same pressure are different, and the reliability of experimental results is low is overcome; clamping force can be adjusted according to the diameter of the spinal cord of a mouse, it is ensured that the spinal cords of different sizes are extruded to the same degree, accordingly, injuries with the highly consistent severity degree are generated, and the repeatability and statistical efficacy of experiments can be improved.
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Description

Technical Field

[0001] This invention relates to the field of mouse spinal cord modeling technology, and more specifically, to a mouse spinal cord clamp injury model construction system and method thereof. Background Technology

[0002] The spinal cord, as an important component of the central nervous system, serves as a "two-way highway" for information transmission between the brain and the body, undertaking vital physiological functions such as transmitting sensory signals, executing motor commands, and regulating autonomic nerve function. However, factors such as trauma, tumors, and vascular lesions can lead to spinal cord injury, causing a series of serious functional impairments, including paralysis, sensory disturbances, urinary and fecal incontinence, and ventilator paralysis.

[0003] A necessary prerequisite for conducting basic research on spinal cord injury is the construction of animal models that are biologically similar to humans, have reproducible disease phenotypes, and are easy to monitor and measure. Currently, the most common animal model used in spinal cord injury research is the mouse model. Common methods for simulating spinal cord injury include heavy object impaction, forceps clamping, balloon compression, spinal cord displacement, total spinal cord resection, photochemical injury, toxins, explosion simulators, and cryogenic probes, each with its own characteristics and limitations. Among these modeling methods, the mouse clamping injury model has advantages such as ease of operation, high degree of damage simulation, and ease of gene regulation, and has been widely used in basic research related to spinal cord injury.

[0004] The clamp injury model relies primarily on manual control of clamping force by researchers. However, the spinal cord diameter varies among mice of different strains, ages, and sexes. When assessing treatment effectiveness, the injuries in the experimental and control groups must originate at the same level. If the same absolute clamping force is applied to all mice, the clamp may fail to close properly in mice with thicker spinal cords, resulting in less severe injury. Conversely, excessive clamping force in mice with thinner spinal cords can lead to over-compression or even transection of the spinal cord, causing extremely severe damage. In cases of significant differences in injury, it becomes impossible to determine whether subsequent differences in functional recovery stem from the treatment itself or from accidental variations in the initial injury, leading to low reliability of the experimental results. Summary of the Invention

[0005] To address the problem in existing technologies where individual differences in mice lead to varying degrees of injury under the same pressure, resulting in low reliability of experimental results, this invention provides a mouse spinal cord clamp injury model construction system and method. This system can adjust the clamping force according to the diameter of the mouse spinal cord, offsetting the initial variables caused by individual differences, ensuring that the injuries of different mice are consistent, and improving the reproducibility and statistical power of the experiment.

[0006] A mouse spinal cord clamp injury model construction system includes a robotic arm, clamps, a data processing and control module, and an optical imaging and measurement module. At least one clamping surface of the clamp is equipped with a pressure sensor, and each clamping arm of the clamp is equipped with a displacement sensor. The robotic arm is connected to the clamps and is used to drive the clamps to move and open / close. The pressure sensors, displacement sensors, robotic arm, and optical imaging and measurement module are all signal-connected to the data processing and control module.

[0007] In the above technical solution, the relationship between the diameter of the mouse spinal cord, strain, and clamping force is first determined. An optical imaging and measurement module is used to capture images of the mouse spinal cord and calculate the diameter of the area to be clamped. A data processing and control module calculates the target clamping force for the newly modeled mouse spinal cord based on the relationship, the diameter of the mouse spinal cord, and the target strain value. Then, it controls the movement of a robotic arm to drive clamps to hold the mouse spinal cord. A pressure sensor detects the clamping force in real time, and a displacement sensor detects the compression of the mouse spinal cord in real time, allowing for adjustments to the clamping force when deviations occur, ensuring the clamping force steadily rises to the target value. Once the clamps reach the target clamping force, they are held for a set time, thus completing the construction of the injury model. This system can adjust the clamping force according to the diameter of the mouse spinal cord, ensuring that spinal cords of different sizes are subjected to the same degree of compression, resulting in injuries of highly consistent severity, which is beneficial for improving the repeatability and statistical power of the experiment.

[0008] In the above technical solution, the clamping surface of the clamp is planar, and the clamping back side of the clamp is also planar; that is, the cross-section of the clamp is rectangular in the direction perpendicular to the clamping surface. Changing the cross-section to a rectangle ensures that the degree of damage on the dorsal and ventral sides is consistent, reducing the impact of heterogeneity. The optical imaging and measurement module includes a confocal or OCT optical imaging probe, which can perform optical coherence tomography (OCT) scanning and use the principle of low-coherence optical interference to acquire images of the microstructure inside biological tissues. The data processing and control module is a computer device capable of data processing and command output.

[0009] Preferably, the pressure sensor is an array-type pressure film sensor. The array-type pressure film sensor can measure not only the magnitude of pressure but also its distribution. During clamping, the mouse spinal cord may shift, causing the clamp to slip off the spinal cord or become laterally deviated, meaning the clamp is not directly aligned with the center of the spinal cord. Once slippage or lateral deviation occurs, the pressure contour map will immediately show an anomaly. The system can detect this anomaly in real time and automatically adjust the clamp position or pause the operation to prevent experimental failure.

[0010] The present invention also provides a method for constructing a mouse spinal cord clamp injury model, used in the aforementioned system, comprising the following steps: S1: Determine the relationship between mouse spinal cord diameter, mouse spinal cord strain and target clamping force; S2: The optical imaging and measurement module captures images of the spinal cord of the newly modeled mouse, constructs a three-dimensional map, calculates the diameter of the position to be clamped, and then transmits the three-dimensional map and diameter information to the data processing and control module. S3: The data processing and control module plans a collision-free movement path based on the three-dimensional map, and calculates the target clamping force corresponding to the spinal cord of the newly modeled mouse based on the diameter of the mouse spinal cord, the target strain, and the relationship formula. S4: The data processing and control module controls the robotic arm to drive the clamp along the motion path to the clamping point on the spinal cord of the newly modeled mouse, controls the robotic arm to drive the clamp to clamp, and ensures that the pressure measured by the pressure sensor reaches the target clamping force and is maintained for a set time; finally, the robotic arm controls the robotic arm to drive the clamp to open and then moves the clamp back to the initial position. During the clamping of the mouse spinal cord, if the pressure cloud map shows abnormalities, it indicates that the clamp may have slipped off the spinal cord or deviated laterally, and the robotic arm will readjust the clamping position or stop the operation.

[0011] In the above technical solution, the three-dimensional map in S2 refers to the spinal cord model formed by processing the scan data after the optical imaging and measurement unit scans the mouse spinal cord and reconstructing the three-dimensional fine structure of the lamina notch, dura mater, blood vessels, etc. in real time.

[0012] Preferably, in step S1, the specific steps for obtaining the relationship between the mouse spinal cord diameter and the target clamping force are as follows: S11: Select mouse samples at different growth stages; S12: Measure the diameter of the spinal cord to be clamped in different mice; S13: Apply an initial clamping force to the area of ​​the mouse spinal cord to be clamped using clamps, and then measure the thickness of the area of ​​the mouse spinal cord to be clamped under the action of the initial force; then gradually increase the clamping force at a set speed and record the strain value corresponding to each clamping force until the dura mater (a dense connective tissue membrane covering the outside of the spinal cord) ruptures. S14: Perform steps S12 and S13 on each mouse spinal cord sample to obtain strain data of mouse spinal cords of different diameters under different clamping forces. S15: Based on the data obtained in step S14, fit the relationship between the target clamping force, the diameter of the mouse spinal cord, and the target strain.

[0013] Preferably, in step S12, the lamina of the target spinal cord segment (e.g., T10) is first surgically exposed, and then the lamina is removed to expose the spinal cord, forming a lamina notch; wherein the spinal cord segment exposed by the lamina notch is the site to be clamped in the mouse spinal cord. Laminectomy creates a clear surgical window, ensuring that the injury is strictly confined to the target spinal cord segment, avoiding model inconsistencies caused by positional deviations.

[0014] Preferably, in step S13, the initial clamping force is 0.01N to 0.02N to ensure that the clamping arm of the clamp makes stable contact with the dura mater on the surface of the spinal cord, but is small enough not to cause any obvious deformation of the spinal cord; the set speed is 0.005N / s to 0.01N / s to ensure that the tissue deformation is uniform and controllable.

[0015] Preferably, in step S15, the formula for calculating the target clamping force is: F = K × d^m × ε; In the formula, F is the target clamping force; K is the comprehensive calibration coefficient; d is the diameter of the mouse spinal cord; m is the diameter index, which is between 1 and 2, depending on the mouse strain (different spinal cord tissue stiffness); ε is the target strain value.

[0016] Preferably, the method further includes step S5: After the modeling is completed, a pressure-displacement curve is generated based on the pressure data measured by the pressure sensor and the displacement data of the displacement sensor; the postoperative histological quantitative characteristics of the mouse spinal cord sample after the clamping operation are obtained, and then a quantitative relationship model between the area under the pressure-displacement curve and the postoperative tissue characteristics of the mouse spinal cord sample is established using regression analysis; the quantitative relationship model is based on the severity of spinal cord injury in the mouse according to the pressure-displacement data. If the predicted severity of injury is within a reasonable range, the modeling experiment is marked as successful, providing a highly consistent basis for subsequent analysis, enhancing statistical power and reliability of conclusions; otherwise, the modeling experiment is invalidated and marked as pending review and the source of abnormality (such as abnormal data, abnormal pressure distribution, abnormal clamping trajectory, etc.) is checked.

[0017] Preferably, the postoperative histological quantitative characteristics include postoperative neuronal survival rate, glial scar thickness, and variability of gray matter lesion area.

[0018] Preferably, in step S2, images of the mouse spinal cord are captured from different directions, and then the images from multiple angles are fused into a three-dimensional map; then, edge detection algorithms and morphological processing methods are used to identify the boundaries of the spinal cord, and the diameter of the mouse spinal cord and the normal direction of the dura mater surface are calculated; in step S3, the path search algorithm A* is used to plan a collision-free movement path considering obstacles; in step S4, the data processing and control module controls the clamp to move along the collision-free movement path, and controls the clamping arm of the clamp to feed along the normal direction of the dura mater surface when clamping the dura mater, ensuring that the clamping arm of the clamp clamps clamps vertically, so that the mouse spinal cord is subjected to more uniform force.

[0019] The beneficial effects of this invention are: This invention can adjust the clamping force according to the diameter of the mouse spinal cord to ensure that spinal cords of different sizes are subjected to the same degree of compression, thereby producing damage of highly consistent severity, which is beneficial to improving the repeatability and statistical power of the experiment. Attached Figure Description

[0020] Figure 1 A structural diagram of a system for constructing a mouse spinal cord clamp injury model; Figure 2 A schematic diagram of the working state of a mouse spinal cord clamp injury model construction system when the clamps are open; Figure 3 This is a flowchart of a method for constructing a mouse spinal cord clamp injury model.

[0021] The components include: 1. robotic arm; 2. data processing and control module; 3. optical imaging and measurement module; 4. clamp; 5. displacement sensor; and 6. pressure sensor. Detailed Implementation

[0022] The accompanying drawings are for illustrative purposes only and should not be construed as limiting this patent. To better illustrate this embodiment, some components in the drawings may be omitted, enlarged, or reduced, and do not represent the actual dimensions of the product. It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings. The positional relationships described in the drawings are for illustrative purposes only and should not be construed as limiting this patent.

[0023] In the accompanying drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components. In the description of the present invention, it should be understood that if terms such as "upper," "lower," "left," "right," "long," and "short" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the drawings are only for illustrative purposes and should not be construed as limiting the present patent. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.

[0024] The technical solution of the present invention will be further described in detail below through specific embodiments and in conjunction with the accompanying drawings: Example 1 This embodiment is the first embodiment of a mouse spinal cord clamp injury model construction system, such as... Figure 1 and Figure 2 As shown, the system includes a robotic arm 1, a clamp 4, a data processing and control module 2, and an optical imaging and measurement module 3. Both clamping surfaces of the clamp 4 are equipped with pressure sensors 6, and the clamping arms of the clamp 4 are equipped with displacement sensors 5. The robotic arm 1 is connected to the clamp 4 and is used to drive the clamp 4 to move and open and close. The pressure sensors 6, displacement sensors 5, robotic arm 1, and optical imaging and measurement module are all connected to the data processing and control module 2.

[0025] Furthermore, pressure sensor 6 is an array-type pressure film sensor. This array-type pressure film sensor can measure not only the magnitude of pressure but also its distribution. During clamping, the mouse spinal cord may shift, causing clamp 4 to slip off the spinal cord or become laterally deviated, meaning clamp 4 is not directly aligned with the center of the spinal cord. Once slippage or lateral deviation occurs, the pressure contour map will immediately show an anomaly. The system can detect this anomaly in real time and automatically adjust the position of clamp 4 or pause the operation to prevent experimental failure.

[0026] The working principle or workflow of this embodiment is as follows: First, the relationship between the diameter of the mouse spinal cord, the strain, and the clamping force is determined; the optical imaging and measurement module is used to capture images of the mouse spinal cord and calculate the diameter of the position to be clamped; the data processing and control module 2 calculates the target clamping force of the newly modeled mouse spinal cord based on the relationship, the diameter of the mouse spinal cord, and the target strain value, and then controls the movement of the robotic arm 1, which drives the clamp 4 to clamp the mouse spinal cord; the pressure sensor 6 detects the clamping force in real time, and the displacement sensor 5 detects the compression of the mouse spinal cord in real time, so as to adjust the clamping force when deviation occurs and ensure that the clamping force rises steadily to the target value; after the clamp 4 reaches the target clamping force, it is maintained for a set time, thereby completing the construction of the injury model.

[0027] The beneficial effects of this embodiment are: the clamping force can be adjusted according to the diameter of the mouse spinal cord, thereby ensuring that spinal cords of different sizes are subjected to the same degree of compression, resulting in damage of highly consistent severity, which is beneficial to improving the reproducibility and statistical power of the experiment.

[0028] Example 2 This embodiment is a first embodiment of a method for constructing a mouse spinal cord clamp injury model, used in the system of Embodiment 1, such as... Figure 1 As shown, it includes the following steps: S1: Determine the relationship between mouse spinal cord diameter, mouse spinal cord strain and target clamping force; S2: The optical imaging and measurement module 3 captures images of the spinal cord of the newly modeled mouse, constructs a three-dimensional map, calculates the diameter of the position to be clamped, and then transmits the three-dimensional map and diameter information to the data processing and control module 2. S3: Data processing and control module 2 plans a collision-free movement path based on the three-dimensional map, and calculates the target clamping force corresponding to the spinal cord of the newly modeled mouse based on the diameter of the mouse spinal cord, the target strain variable and the relational formula. S4: The data processing and control module 2 controls the robotic arm 1 to drive the clamp 4 along the motion path to the clamping point on the spinal cord of the newly modeled mouse. It then controls the robotic arm 1 to drive the clamp 4 to clamp, ensuring the pressure measured by the pressure sensor 6 reaches the target clamping force and is maintained for a set time. Finally, it controls the robotic arm 1 to drive the clamp 4 to open and then move the clamp 4 back to its initial position. During the clamping of the mouse spinal cord, if the pressure cloud map shows abnormalities, it indicates that the clamp 4 may have slipped off the spinal cord or deviated laterally. In this case, the robotic arm 1 will readjust the clamping position of the clamp 4 or stop the operation.

[0029] Other features, working principles, and beneficial effects of this embodiment are the same as those of Embodiment 1.

[0030] Example 3 This embodiment is a second embodiment of a method for constructing a mouse spinal cord clamp injury model. This embodiment further supplements embodiment 2 based on embodiment 2.

[0031] Furthermore, in step S1, the specific steps for obtaining the relationship between the mouse spinal cord diameter and the target clamping force are as follows: S11: Select mouse samples at different growth stages; S12: Measure the diameter of the spinal cord to be clamped in different mice; S13: Use clamp 4 to apply an initial clamping force to the area of ​​the mouse spinal cord to be clamped, and then measure the thickness of the area of ​​the mouse spinal cord to be clamped after being clamped under the initial force; then gradually increase the clamping force at the set speed and record the strain value corresponding to each clamping force until the dura mater (a dense connective tissue membrane covering the outside of the spinal cord) ruptures. S14: Perform steps S12 and S13 on each mouse spinal cord sample to obtain strain data of mouse spinal cords of different diameters under different clamping forces. S15: Based on the data obtained in step S14, fit the relationship between the target clamping force, the diameter of the mouse spinal cord, and the target strain.

[0032] Further, in step S12, the lamina of the target spinal cord segment (e.g., T10) is first surgically exposed, and then the lamina is removed to expose the spinal cord, forming a lamina notch; wherein the spinal cord segment exposed by the lamina notch is the site to be clamped in the mouse spinal cord. Laminectomy creates a clear surgical window, ensuring that the injury is strictly confined to the target spinal cord segment, avoiding inconsistencies in the model due to positional deviations.

[0033] Furthermore, in step S13, the initial clamping force is 0.01N to 0.02N to ensure that the clamping arm of the clamp 4 makes stable contact with the dura mater on the surface of the spinal cord, but is small enough not to cause any obvious deformation of the spinal cord; the speed is set to 0.005N / s to 0.01N / s to ensure that the tissue deformation is uniform and controllable.

[0034] Furthermore, in step S15, the formula for calculating the target clamping force is: F = K × d^m × ε; In the formula, F is the target clamping force; K is the comprehensive calibration coefficient; d is the diameter of the mouse spinal cord; m is the diameter index, which is between 1 and 2, depending on the mouse strain (different spinal cord tissue stiffness); ε is the target strain value.

[0035] Furthermore, step S5 is also included: After the modeling is completed, a pressure-displacement curve is generated based on the pressure data measured by pressure sensor 6 and the displacement data of displacement sensor 5; the postoperative histological quantitative characteristics of the mouse spinal cord sample after the clamping operation are obtained, and then a quantitative relationship model between the area under the pressure-displacement curve and the postoperative tissue characteristics of the mouse spinal cord sample is established using regression analysis; the quantitative relationship model is based on the severity of spinal cord injury in the mouse according to the pressure-displacement data. If the predicted severity of injury is within a reasonable range, the modeling experiment is marked as successful, providing a highly consistent basis for subsequent analysis, enhancing statistical power and reliability of conclusions; otherwise, the modeling experiment is invalidated and marked as pending review and the source of abnormality (such as abnormal data, abnormal pressure distribution, abnormal clamping trajectory, etc.) is checked.

[0036] Furthermore, postoperative histological quantitative characteristics include postoperative neuronal survival rate, glial scar thickness, and variability of gray matter damage area.

[0037] Further, in step S2, images of the mouse spinal cord are captured from different directions, and then the images from multiple angles are fused into a three-dimensional map; then, edge detection algorithms and morphological processing methods are used to identify the boundaries of the spinal cord, and the diameter of the mouse spinal cord and the normal direction of the dura mater surface are calculated; in step S3, the path search algorithm A* is used to plan a collision-free movement path considering obstacles; in step S4, the data processing and control module 2 controls the clamp 4 to move along the collision-free movement path, and controls the clamping arm of the clamp 4 to feed along the normal direction of the dura mater surface when clamping the dura mater, ensuring that the clamping arm of the clamp 4 clamps vertically, so that the mouse spinal cord is subjected to more uniform force.

[0038] Other features, working principles, and beneficial effects of this embodiment are the same as those of Embodiment 2.

[0039] In the specific implementation of the above embodiments, the technical features can be combined in any non-contradictory way. For the sake of brevity, not all possible combinations of the above technical features are described. However, as long as the combination of these technical features is not contradictory, it should be considered to be within the scope of this specification.

[0040] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. Those skilled in the art will recognize that other variations or modifications can be made based on the above description, and it is neither necessary nor possible to exhaustively describe all possible implementations here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. A system for constructing a mouse spinal cord clip injury model, characterized by, The device comprises a mechanical arm (1), a clamp (4), a data processing and control module (2), and an optical imaging and measuring module (3). At least one clamping surface of the clamp (4) is provided with a pressure sensor (6), and the clamping arms of the clamp (4) are each provided with a displacement sensor (5). The mechanical arm (1) is connected to the clamp (4) and is used to drive the clamp (4) to move and open and close. The pressure sensor (6), the displacement sensor (5), the mechanical arm (1), and the optical imaging and measuring module (3) are all signal-connected to the data processing and control module (2).

2. The mouse spinal cord clip injury model construction system according to claim 1, wherein The pressure sensor (6) is an array type pressure film sensor.

3. A method for constructing a mouse spinal cord clip injury model for use in the system of claim 1 or 2, comprising: The device comprises the following steps: S1: determining the relationship between the diameter of the mouse spinal cord, the strain of the mouse spinal cord, and the target clamping force; S2: the optical imaging and measuring module (3) takes an image of the newly molded mouse spinal cord, constructs a three-dimensional map, calculates the diameter of the clamping position, and then transmits the three-dimensional map and the diameter information to the data processing and control module (2); S3: the data processing and control module (2) plans a collision-free motion path according to the three-dimensional map, and calculates the target clamping force corresponding to the newly molded mouse spinal cord according to the relationship between the diameter of the mouse spinal cord and the target strain; S4: the data processing and control module (2) controls the mechanical arm (1) to drive the clamp (4) to move to the clamping position of the newly molded mouse spinal cord along the motion path, controls the mechanical arm (1) to drive the clamp (4) to clamp, so that the pressure measured by the pressure sensor (6) reaches the target clamping force and maintains for a set time; finally, the mechanical arm (1) is controlled to drive the clamp (4) to open, and then the clamp (4) is moved to the initial position.

4. The method according to claim 3, wherein the method is characterized by, In the step S1, the specific obtaining steps of the relationship between the diameter of the mouse spinal cord and the target clamping force are as follows: S11: select mouse samples at different growth stages; S12: measure the diameter of the clamping position of different mouse spinal cords; S13: use the clamp (4) to apply an initial clamping force to the clamping position of the mouse spinal cord, then measure the thickness of the clamping position of the mouse spinal cord after clamping under the initial force; then gradually increase the clamping force at a set speed, and record the strain value corresponding to each clamping force until the dura mater ruptures; S14: perform steps S12 and S13 on each mouse spinal cord sample to obtain strain value data of mouse spinal cords of different diameters under different clamping forces; S15: according to the data obtained in step S14, fit the relationship between the target clamping force, the diameter of the mouse spinal cord, and the target strain.

5. The method according to claim 4, wherein the method is characterized by, In the step S12, the lamina of the target spinal cord segment is exposed by surgical operation, and then the lamina is removed to form a lamina gap; wherein the spinal cord segment exposed by the lamina gap is the clamping position of the mouse spinal cord.

6. The method of claim 4, wherein the mouse spinal cord clip injury model is constructed by, In the step S13, the initial clamping force is 0.01N to 0.02N, and the set speed is 0.005N / s to 0.01N / s.

7. The method according to claim 4, wherein the method is characterized by, In the step S15, the calculation formula of the target clamping force is: F=Kxd^m x ε; In the formula, F is a target clamping force; K is a comprehensive calibration coefficient; d is a diameter of a mouse spinal cord; m is a diameter index, between 1 and 2; and ε is a target strain value.

8. The method according to claim 7, wherein the method is characterized by, The method further comprises the following step S5: after the molding is completed, a pressure-displacement curve is generated according to pressure data measured by the pressure sensor (6) and displacement data of the displacement sensor (5); for a mouse spinal cord sample on which the clamping operation is completed, postoperative histological quantitative characteristics are obtained, and then a quantitative relationship model between an area under the pressure-displacement curve and postoperative histological characteristics of the mouse spinal cord sample is established by using a regression analysis method; according to the pressure-displacement data, the quantitative relationship model determines the severity of injury of the mouse spinal cord, and if the predicted severity of injury is within a reasonable range, the molding experiment is marked as qualified, otherwise the molding experiment is invalidated, and the molding experiment is marked as to be reviewed and the abnormal source is checked.

9. The method according to claim 8, wherein the method is characterized by, The postoperative histological quantitative characteristics include a postoperative neuron survival rate, a glial scar thickness, and a gray matter damage area variation degree.

10. The method for constructing a mouse spinal cord clamp injury model according to claim 3, characterized in that, In the step S2, images of the mouse spinal cord are captured from different directions, and then images at multiple angles are fused into a three-dimensional map; then an edge detection algorithm and a morphological processing method are used to identify the boundary of the spinal cord, and the diameter of the mouse spinal cord and the normal direction of the surface of the spinal cord are calculated; in the step S3, an A* algorithm is used to plan a collision-free motion path by considering obstacles; in the step S4, the data processing and control module (2) controls the clamp (4) to move along the collision-free motion path, and controls the clamping arm of the clamp (4) to feed along the normal direction of the surface of the spinal cord when clamping the spinal cord.

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