Intelligent measuring instrument for pathological tissue samples

Abstract

The application discloses an intelligent measuring instrument for pathological tissue samples, which comprises a base, a weighing module arranged on the upper side of the base in an array, a sample placing rack corresponding to the weighing module arranged on the base, a base plate, a plurality of sample placing boxes arranged on the base plate in an array, the sample placing boxes corresponding to the weighing module one by one, the weighing module independently measuring the weight of the samples in the corresponding sample placing boxes, a scanning mechanism arranged on the rear side of the base and used for synchronously measuring the volume of the samples in the sample placing boxes, and a processor used for receiving the weight and scanning information of each weighing module and scanning mechanism, and calculating and adjusting the weight and volume data of each sample according to the corresponding weight and scanning information. The application can synchronously measure the volume of a plurality of pathological tissue samples, can correct the volume and weight according to the corresponding relationship between the weight and volume of each pathological tissue sample, and guarantees the accuracy of experimental results.

Description

Technical Field

[0001] This invention belongs to the field of medical experimental instrument technology, specifically relating to an intelligent measuring instrument for pathological tissue specimens. Background Technology

[0002] In laboratory animal-related medical experiments (such as oncology, pharmacology, pathology, toxicology, etc.), the precise measurement of the volume and weight of multiple groups of pathological tissue specimens is the core foundation for quantifying experimental data, comparing between groups, evaluating intervention effects, and verifying mechanisms. Its essence is to eliminate individual differences and experimental errors through standardized basic measurements, thereby providing support for reliable conclusions and clinical translation.

[0003] For example, the invention disclosed in CN106871763A discloses a pathological specimen measuring device and detection method, which is rectangular in shape, with measuring calipers installed on the side wall of the inner container. The inner container can be pulled out by a pull ring; a movable connecting arm is provided between two adjacent pull rings. Furthermore, it has the characteristic of being able to be measured under X-ray imaging without showing up as a film. This method can simultaneously measure the length, width, weight, and volume of pathological specimens.

[0004] However, the above-mentioned scheme has the following problems: 1. It can only measure the weight and volume of a single pathological tissue sample, and cannot measure the weight and volume of multiple groups of pathological tissue samples, thus limiting the measurement range. 2. At the same time, it cannot simultaneously measure the volume and weight of multiple groups of pathological tissue samples, and cannot correct the weight or volume of each sample based on the correspondence between the weight and volume of each sample. The accuracy of measuring the weight and volume of multiple samples is not high. Therefore, we propose an intelligent measuring instrument for pathological tissue specimens. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent measuring instrument for pathological tissue specimens, in order to solve the problems mentioned in the background art, such as the inability to measure the weight and volume of multiple groups of pathological tissue samples, the inability to correct the weight or volume of each sample based on the correspondence between the weight and volume of each sample, and the low accuracy of measuring the weight and volume of multiple samples.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an intelligent measuring instrument for pathological tissue specimens, including a base, a weighing module arrayed on the upper side of the base, and a specimen placement rack corresponding to the weighing module on the base, the specimen placement rack being detachably mounted on the base;

[0007] The specimen placement rack includes a base plate on which multiple sample placement boxes are arranged in an array. Each sample placement box corresponds to a weighing module, and the weighing module independently measures the weight of the sample in the corresponding sample placement box.

[0008] The rear side of the base is also provided with a scanning mechanism for synchronously measuring the volume of samples in each sample placement box;

[0009] The base is also equipped with a processor, which is used to receive the weight and scanning information of each weighing module and scanning mechanism, and to calculate and adjust the weight and volume data of each sample according to the corresponding weight and scanning information.

[0010] Preferably, the scanning mechanism includes a frame disposed at the rear of the base, and a support frame is also disposed on the frame. Arrayed crossbeams are disposed on both sides of the support frame, and multiple sets of infrared TOF scanning probes are disposed on one side of each crossbeam. Each infrared TOF scanning probe corresponds to a sample placement box, enabling synchronous scanning of pathological tissue samples in each sample placement box.

[0011] Preferably, the frame is further provided with an electric push rod, one end of the piston rod of the electric push rod is connected to an adjusting block, and the adjusting block is set on the support frame, which can control the movement of the support frame.

[0012] Preferably, the processor is also connected to a control panel, which is equipped with a display screen for displaying the weight and volume data of each sample.

[0013] Preferably, an ear seat is provided on one side of the control panel, and the ear seat is rotatably connected to the mounting bracket via a damping shaft. The mounting bracket is provided on one side surface of the base, which allows for adjustment of the angle of the control panel.

[0014] Preferably, the calculation steps for the processor to calculate the volume of the pathological tissue sample are as follows:

[0015] S1. Start the infrared TOF scanning probe to perform multi-view synchronous scanning of the pathological tissue sample and collect raw point cloud data.

[0016] S2. Preprocess the raw point cloud data to obtain globally unified point cloud data;

[0017] S3 and Delaunay triangulation are used to construct a non-overlapping triangular mesh;

[0018] S4. Mesh volume integration to calculate the original volume. ;

[0019] S5, multi-level calibration and correction, to obtain accurate volume .

[0020] Preferably, S1 specifically comprises:

[0021] Activate the infrared TOF scanning probe to perform multi-view synchronous scanning of pathological tissue samples (covering the entire surface of the sample and eliminating scanning blind spots).

[0022] Each viewpoint scan acquires a discrete set of 3D coordinate points: Point clouds The coordinates are calculated directly using the Time-of-Flight (TOF) formula: In the formula: At the speed of light, This refers to the round-trip time of the infrared light.

[0023] The point cloud data from all perspectives are aggregated to form the original point cloud dataset.

[0024] Preferably, the The calculation formula is as follows:

[0025] ;

[0026] In the formula: The volume is that of a tetrahedron.

[0027] Preferably, the The calculation formula is as follows:

[0028] ;

[0029] In the formula: Let be the scanning deviation coefficient corresponding to the i-th sample. This represents the temperature-corrected volume of the pathological tissue sample.

[0030] Preferably, the processor calculates and adjusts the weight of each sample based on the corresponding weight and scanning information, and the specific steps are as follows:

[0031] Formula for generating linear relationship: ;

[0032] In the formula: is the tissue density coefficient, and b is the intercept correction term.

[0033] Compared with the prior art, the beneficial effects of the present invention are:

[0034] (1) This application can place multiple groups of pathological tissue specimens in an orderly manner, and simultaneously weigh multiple groups of pathological tissue specimens through an independent weighing module, and can simultaneously measure the volume of multiple groups of pathological tissue specimens.

[0035] (2) Based on the correspondence between the weight and volume of each pathological tissue specimen, this application can correct the volume and weight, improve the accuracy of the weight and volume measurement of multiple groups of pathological tissue samples, and ensure the accuracy of experimental results. Attached Figure Description

[0036] Figure 1 This is a schematic diagram of the overall structure of the present invention;

[0037] Figure 2 This is a schematic diagram of the separate structure of the specimen placement rack and the base in this invention;

[0038] Figure 3 This is a schematic diagram of the separate structure of the positioning post and the connecting sleeve in this invention;

[0039] Figure 4 This is a schematic diagram of the scanning mechanism in this invention;

[0040] Figure 5 This is a schematic diagram of the specimen placement rack in this invention;

[0041] Figure 6 This is a schematic diagram of the method for calculating the volume of a pathological tissue sample using a processor in this invention;

[0042] In the diagram: 1. Specimen placement rack; 2. Scanning mechanism; 3. Display screen; 4. Control panel; 5. Ear mount; 6. Mounting bracket; 7. Base; 8. Anti-slip pad; 9. Weighing module; 10. Temperature and humidity sensor; 11. Base plate; 12. Connecting sleeve; 13. Sample placement box; 14. Snap-fit ​​groove; 15. Scale; 21. Frame; 22. Support frame; 23. Electric push rod; 24. Adjusting block; 25. Crossbar; 26. TOF scanning probe; 71. Positioning post; 72. Snap-fit ​​block. Detailed Implementation

[0043] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0044] Please see Figure 1 as well as Figure 2 The present invention provides a technical solution: an intelligent measuring instrument for pathological tissue specimens, including a base 7, a weighing module 9 arrayed on the upper side of the base 7, specifically, it can be arranged in an array of 4×6, 4×5, 4×4, etc., and a specimen placement rack 1 corresponding to the weighing module 9 is also provided on the base 7, and the specimen placement rack 1 can be detachably mounted on the base 7.

[0045] The specimen placement rack 1 includes a base plate 11, on which multiple sample placement boxes 13 are arranged in an array. Specifically, the sample placement boxes 13 can be arranged in an array of 4×6, 4×5, 4×4, etc. The sample placement boxes 13 correspond one-to-one with the weighing module 9, and the weighing module 9 independently measures the weight of the sample in the corresponding sample placement box 13.

[0046] After the personnel remove the pathological tissue samples from the experimental animal, they place the samples in the array arranged in the sample placement box 13 in sequence, and then connect the specimen placement rack 1 to the positioning column 71, so that the specimen placement rack 1 is connected to the base 7. At the same time, since the sample placement box 13 corresponds to the weighing module 9, the arrayed weighing module 9 synchronously and independently measures the weight of the specimen in each sample placement box 13.

[0047] The base 7 is also equipped with a processor, which is used to receive the weight and scanning information of each weighing module 9 and scanning mechanism 2, and to calculate and adjust the weight and volume data of each sample according to the corresponding weight and scanning information.

[0048] Please see Figure 4 The base 7 is also equipped with a scanning mechanism 2 for synchronously measuring the volume of samples in each sample placement box 13. The scanning mechanism 2 includes a frame 21, which is located at the rear of the base 7. A support frame 22 is also provided on the frame 21. Arrayed crossbars 25 are provided on both sides of the support frame 22. Three sets of infrared TOF scanning probes 26 are provided on one side of the crossbars 25. Each infrared TOF scanning probe 26 corresponds to a sample placement box 13. An electric push rod 23 is also provided inside the frame 21. One end of the piston rod of the electric push rod 23 is connected to an adjusting block 24, which is located on the support frame 22. Specifically, the stroke of the electric push rod 23 is the width of a single sample placement box 13. The processor is also connected to a control panel 4. A display screen 3 is provided on the control panel 4. The display screen 3 is used to display the weight and volume data of each sample.

[0049] The extension and retraction of the electric push rod 23 drives the adjustment block 24 to move, which in turn drives the support frame 22 to move. The support frame 22 then drives the array-arranged crossbeam 25 to move, which in turn drives the array-arranged infrared TOF scanning probe 26 to move. The infrared TOF scanning probe 26 moves to simultaneously scan the pathological tissue samples in the array-arranged sample placement box 13 and transmits the scanned data to the processor. The processor processes the scanned data and, in conjunction with the weight data, corrects the weight and volume based on the weight-volume relationship of the samples. The corrected weight and volume data are then simultaneously displayed on the display screen 3, allowing for precise measurement of the weight and volume data of multiple groups of pathological tissue samples at once.

[0050] Please see Figure 1A lug 5 is provided on one side of the control panel 4. The lug 5 is rotatably connected to the mounting bracket 6 via a damping shaft. The mounting bracket 6 is located on one side surface of the base 7. The damping shaft is rotated on the mounting bracket 6 by the lug 5, which can adjust and position the angle of the control panel 4.

[0051] In one embodiment, a connecting sleeve 12 is provided in the middle of the substrate 11. The connecting sleeve 12 corresponds to the positioning post 71. The connecting sleeve 12 can be sleeved on the positioning post 71, which facilitates the disassembly and assembly of the specimen placement rack 1 and makes replacement convenient. The specimen placement rack 1 in this application is made of medical-grade PP plastic material, which is non-toxic, harmless, and low in cost. It can be used once. At the same time, the disassembly and assembly setting allows all pathological tissue samples to be placed in the sample placement box 13 and photographed. After the photographing is completed, the entire specimen placement rack 1 can be installed on the base 7.

[0052] Furthermore, the connecting sleeve 12 is provided with snap-fit ​​grooves 14 on both sides, and the positioning post 71 is provided with snap-fit ​​blocks 72 on both sides. The snap-fit ​​blocks 72 are connected with the snap-fit ​​grooves 14. When installing the specimen placement rack 1, the snap-fit ​​grooves 14 on the connecting sleeve 12 are aligned with the snap-fit ​​blocks 72, and the snap-fit ​​blocks 72 are snapped into the snap-fit ​​grooves 14, so that the specimen placement rack 1 and the positioning post 71 can be positioned and installed.

[0053] Furthermore, a scale 15 is provided on the base plate 11 on the outside of each sample placement box 13 to facilitate the marking of the length and width of the pathological tissue specimen.

[0054] In this embodiment, a temperature and humidity sensor 10 is also provided on the base 7. The temperature and humidity sensor 10 is connected to the processor for data interaction, and can transmit temperature and humidity data to the processor and provide data support for subsequent data correction.

[0055] The base 7 is also equipped with anti-slip rubber pads 8 to improve the stability of the device during use.

[0056] The weighing module 9 uses a high-precision strain gauge load cell (model: HXC-102, range 0-50g, accuracy 0.1mg), arranged in a 4×4 array (16 groups in total), with a center-to-center distance of 50mm between adjacent sensors. The sensor output signal is transmitted to the processor via an AD converter (sampling rate 100Hz, resolution 24-bit).

[0057] The electric linear actuator 23 is a DC servo electric linear actuator 23 (model: DT300, rated thrust 50N, stroke accuracy ±0.05mm, speed 5mm / s), and the infrared TOF scanning probe 26 (model: VL53L5CX, ranging range 50-1000mm, ranging accuracy ±0.1mm, frame rate 30Hz, scanning wavelength 940nm).

[0058] The processor is an STM32H743VIT6 microcontroller (480MHz clock speed, 1MB SRAM built-in), and the temperature and humidity sensor 10 is an SHT30 (measurement range: temperature -40-125℃, accuracy ±0.2℃; humidity 0-100%RH, accuracy ±2%RH).

[0059] Please see Figure 6 The calculation steps for the processor to calculate the volume of the pathological tissue sample are as follows:

[0060] Step 1: The electric push rod 23 extends and retracts to move the adjusting block 24. The movement of the adjusting block 24 moves the support frame 22. The movement of the support frame 22 moves the arrayed cross frame 25. The movement of the cross frame 25 moves the arrayed infrared TOF scanning probe 26. The infrared TOF scanning probe 26 is activated to perform multi-view synchronous scanning of the pathological tissue sample (covering the entire surface of the sample and eliminating scanning blind spots).

[0061] Each viewpoint scan acquires a discrete set of 3D coordinate points: Point clouds The coordinates are calculated directly using the Time-of-Flight (TOF) formula: In the formula: At the speed of light, This refers to the round-trip time of the infrared light.

[0062] The point cloud data from all perspectives are aggregated to form the original point cloud dataset;

[0063] Step 2: Preprocess the raw point cloud data to obtain globally unified point cloud data;

[0064] Gaussian filtering for noise reduction: for each point Select its neighborhood within Calculate the filtered coordinates of each of the three adjacent points:

[0065] ;

[0066] Remove noise points with excessive deviation within the neighborhood (such as points exceeding 3 times the standard deviation);

[0067] Point cloud registration: The ICP (Iterative Closest Point) algorithm is used to register all single-view point clouds using the rotation matrix R and translation vector T. Transform to a global unified coordinate system to obtain the global point cloud. : The registration process continues until the registration error is less than a preset threshold (e.g., 0.01 mm), at which point the registration stops.

[0068] Step 3: Delaunay triangulation to construct a non-overlapping triangular mesh;

[0069] Perform Delaunay triangulation on the global point cloud (to satisfy the empty circle property, avoid slender triangular patches, and ensure mesh quality).

[0070] Generate a set of non-overlapping, hole-free triangular facets. , Each The triangular facet consists of 3 global points , , composition;

[0071] Remove invalid triangular facets that exceed the sample surface area (determined by the angle between the normal vector direction and the sample reference plane).

[0072] Step 4: Integrate the mesh volume to calculate the original volume. ;

[0073] For each triangular facet Calculate the volume of the corresponding tetrahedron (with the origin as the fourth vertex):

[0074] ;

[0075] Summing the tetrahedral volumes of all valid triangular facets yields the original volume of the sample:

[0076] .

[0077] Step 5: Multi-level calibration and correction to obtain accurate volume. ;

[0078] Empty cell volume subtraction and wavelength deviation correction:

[0079] ;

[0080] In the formula: This is the difference between the actual scanning wavelength and the standard wavelength. This is the infrared wavelength correction factor;

[0081] Temperature correction is performed based on the temperature data collected by temperature and humidity sensor 10:

[0082] ;

[0083] In the formula: This is the difference between the ambient temperature and the standard temperature. The coefficient of thermal expansion of the pathological tissue sample volume;

[0084] Humidity correction is performed based on the humidity data collected by the temperature and humidity sensor 10:

[0085] ;

[0086] In the formula: e is the humidity correction coefficient, and ΔH is the difference between the ambient humidity and the standard humidity (50%RH), which effectively compensates for the volume deviation caused by water absorption of the sample under high humidity conditions.

[0087] Batch array correction:

[0088] ;

[0089] In the formula: Let be the scanning deviation coefficient corresponding to the i-th sample.

[0090] Step 6: Data Output and Correlation Calculation

[0091] The processor will The final volume data is stored and compared with the precise weight data of the corresponding load-bearing module. Precise matching;

[0092] Based on the matching data, the weight-volume relationship formula for this sample is generated. ;

[0093] In the formula: is the tissue density coefficient, and b is the intercept correction term.

[0094] The specific implementation method is as follows:

[0095] Measurement subjects: 16 tumor tissue specimens from experimental animals (each group weighing 0-1g and having a volume of 0-2000mm³). After the samples were taken out, they were immediately placed on gauze soaked in physiological saline to avoid dehydration and deformation.

[0096] Environmental conditions: Standard laboratory environment, temperature 25℃±1℃, humidity 50%RH±5%RH, no obvious airflow interference, ambient light intensity ≤500 lux (avoid infrared interference).

[0097] Measurement process implementation

[0098] (a) Equipment preheating and calibration

[0099] Connect the power supply (220V±10%, 50Hz), and the device will preheat for 10 minutes. The processor will automatically complete the zero-point calibration of the weighing module 9 (in the empty box state, collect 100 sets of weight data and take the average value as the zero-point reference).

[0100] Place a standard weight block (5g, accuracy ±0.01mg) and a standard volume block (1cm³, cubic aluminum alloy block, dimensional accuracy ±0.01mm) into the container to perform weight-volume calibration:

[0101] Weight calibration: Record the value displayed by weighing module 9, and correct the intercept correction term b=0.0002g;

[0102] Volume calibration: Point cloud data of a standard volume block is acquired through scanning mechanism 2, and the scanning deviation coefficient is calculated. =0.003 (uniform calibration of 16 probes), infrared wavelength correction coefficient =0.002mm / nm, temperature correction factor =3×10 -4 / ℃, humidity correction factor e=0.0008 / %RH.

[0103] (II) Sample loading and measurement

[0104] Sixteen tumor tissue specimens from experimental animals were placed into 16 sample placement boxes 13, ensuring that the samples were placed naturally without compression or hanging, and that there were no obvious protrusions on the upper surface of the samples (≤5mm beyond the upper edge of the sample placement box).

[0105] Install the specimen placement rack 1 vertically downward along the positioning post 71, and fully engage the locking block 72 into the locking groove 14. Confirm that the specimen placement rack 1 is not loose.

[0106] Touch the "Start Measurement" button on control panel 4, and the device will automatically perform the following operations:

[0107] Weighing module 9 simultaneously collected the raw weight data of 16 samples, with 50 data points collected for each group. After removing the maximum and minimum values, the average value was taken. (e.g., a certain group of samples) =4.2356g).

[0108] The electric push rod 23 drives the support frame 22 to move the infrared TOF scanning probe 26. It pauses for 0.1s every 1mm of movement to perform multi-view scanning on each sample (collecting point cloud data from 5 viewpoints, covering the entire sample surface):

[0109] Each viewpoint scan acquires a set of 1000 discrete 3D coordinate points. , Through the TOF formula Calculate (c=3×10) 8 m / s, The round-trip time of infrared light, such as at a certain point =533.3ns, then =(3×10 8 ×533.3×10 -9 ) / 2=80mm);

[0110] All point cloud data from all perspectives are aggregated to form the original point cloud dataset (approximately 5000 points per sample).

[0111] Point cloud data preprocessing:

[0112] Gaussian filtering for noise reduction: for each point Selecting the neighborhood Calculate the filtered coordinates of the 20 adjacent points and remove noise points that exceed 3 times the standard deviation (e.g., if the standard deviation of a sample point cloud is 0.05 mm, remove points with a deviation > 0.15 mm).

[0113] ICP registration: The single-view point cloud is transformed to the global coordinate system by rotation matrix R and translation vector T. The registration is iterated until the registration error is <0.01mm (e.g., if the error is 0.008mm after 5 iterations, registration is stopped) to obtain globally unified point cloud data.

[0114] Triangulation and volume calculation:

[0115] Delaunay triangulation is performed on the global point cloud to generate non-overlapping triangular patches (approximately 3000 patches per sample). Invalid patches (such as bottom contact patches) with an angle greater than 90° between the normal vector and the sample reference plane are removed.

[0116] Calculate the volume of the tetrahedron corresponding to each triangular facet. Summing yields the original volume. (e.g., a certain sample) =3.852cm³).

[0117] Multi-level calibration correction:

[0118] Empty box volume deduction: =6.4cm³ (internal volume of sample placement box 13, pre-calibrated), =0nm (actual scanning wavelength is consistent with standard wavelength), then =3.852-6.4-0.002×0=-2.548cm³ (This is an intermediate value for calculation, which will be adjusted and compensated later).

[0119] Temperature correction: ΔT = 0℃ (ambient temperature is consistent with standard temperature), then =-2.548×(1+3×10^-4×0)=-2.548cm³;

[0120] Humidity correction: ΔH = 0%RH (ambient humidity matches standard humidity), then =-2.548×(1-0.0008×0)=-2.548cm³;

[0121] Batch array correction: =-2.548×(1+0.003)=-2.556cm³ (The negative sign indicates that the sample volume is the volume of sample placement box 13 minus the actual absolute value of 3.556cm³. The formula here is based on relative volume calculation, and the symbol has been optimized by software in actual applications).

[0122] Weight correction: based on the weight-volume relationship formula ,in =1.08 g / cm³ (tumor tissue density coefficient, pre-calibrated), then =1.08×3.556+0.0002≈3.840g.

[0123] (III) Data Output and Validation

[0124] After the measurement is completed, the display screen simultaneously shows the precise weight, precise volume and measurement time of 16 samples (the measurement time for a single group is ≤10s, and the total measurement time for 16 samples is ≤30s). The data can be exported to Excel format via USB interface (including raw data, correction parameters and final results).

[0125] Three groups of samples were randomly selected. The volume accuracy was verified by the water displacement method (using a graduated cylinder with an accuracy of 0.01 ml) and the weight accuracy was verified by an electronic analytical balance (with an accuracy of 0.01 mg). The results showed that the volume measurement error was ≤ ±0.05 cm³ and the weight measurement error was ≤ ±0.01 g, which met the experimental requirements.

[0126] Although embodiments of the 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 invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An intelligent measuring instrument for pathological tissue specimens, characterized in that, Includes a base (7), on which weighing modules (9) are arranged in an array on the upper side, and a specimen placement rack (1) corresponding to the weighing modules (9) is also provided on the base (7), and the specimen placement rack (1) is detachably mounted on the base (7); The specimen placement rack (1) includes a base plate (11), on which multiple sample placement boxes (13) are arranged in an array. Each sample placement box (13) corresponds to a weighing module (9), and the weighing module (9) independently measures the weight of the sample in the corresponding sample placement box (13). The base (7) is also provided with a scanning mechanism (2) for synchronously measuring the volume of samples in each sample placement box (13). The base (7) is also equipped with a processor, which is used to receive the weight and scanning information of each weighing module (9) and scanning mechanism (2), and to calculate and adjust the weight and volume data of each sample according to the corresponding weight and scanning information.

2. The intelligent measuring instrument for pathological tissue specimens according to claim 1, characterized in that, The scanning mechanism (2) includes a frame (21), which is located on the rear side of the base (7). A support frame (22) is also provided on the frame (21). Arrayed crossbeams (25) are arranged on both sides of the support frame (22). Multiple sets of infrared TOF scanning probes (26) are provided on one side of the crossbeams (25). The infrared TOF scanning probes (26) correspond one-to-one with the sample placement box (13).

3. The intelligent measuring instrument for pathological tissue specimens according to claim 2, characterized in that, An electric push rod (23) is also provided inside the frame (21). One end of the piston rod of the electric push rod (23) is connected to the adjusting block (24), which is set on the support frame (22).

4. The intelligent measuring instrument for pathological tissue specimens according to claim 1, characterized in that, The processor is also connected to a control panel (4), on which a display screen (3) is provided. The display screen (3) is used to display the weight and volume data of each sample.

5. The intelligent measuring instrument for pathological tissue specimens according to claim 4, characterized in that, The control panel (4) is provided with an ear seat (5) on one side. The ear seat (5) is rotatably connected to the mounting bracket (6) through a damping shaft. The mounting bracket (6) is provided on one side surface of the base (7).

6. The intelligent measuring instrument for pathological tissue specimens according to claim 1, characterized in that, The calculation steps for the processor to calculate the volume of the pathological tissue sample are as follows: S1. Start the infrared TOF scanning probe to perform multi-view synchronous scanning of the pathological tissue sample and collect raw point cloud data. S2. Preprocess the raw point cloud data to obtain globally unified point cloud data; S3 and Delaunay triangulation are used to construct a non-overlapping triangular mesh; S4. Mesh volume integration to calculate the original volume. ; S5, multi-level calibration and correction, to obtain accurate volume .

7. The intelligent measuring instrument for pathological tissue specimens according to claim 6, characterized in that, Specifically, S1 is: Activate the infrared TOF scanning probe to perform multi-view synchronous scanning of pathological tissue samples (covering the entire surface of the sample and eliminating scanning blind spots). Each viewpoint scan acquires a discrete set of 3D coordinate points: Among them, point clouds The coordinates are calculated directly using the Time of Flight (TOF) formula: In the formula: At the speed of light, This refers to the round-trip time of the infrared light. The point cloud data from all perspectives are aggregated to form the original point cloud dataset.

8. The intelligent measuring instrument for pathological tissue specimens according to claim 6, characterized in that, The The calculation formula is as follows: ； In the formula: The volume is that of a tetrahedron.

9. The intelligent measuring instrument for pathological tissue specimens according to claim 6, characterized in that, The The calculation formula is as follows: ； In the formula: Let be the scanning deviation coefficient corresponding to the i-th sample. This represents the temperature-corrected volume of the pathological tissue sample.

10. The intelligent measuring instrument for pathological tissue specimens according to claim 1, characterized in that, The processor calculates and adjusts the weight of each sample based on the corresponding weight and scan information. The specific steps are as follows: Formula for generating linear relationship: ; In the formula: is the tissue density coefficient, and b is the intercept correction term.

Images