An engineered cardiac tissue contractility measurement device based on image recognition

Abstract

The present invention discloses an engineered cardiac tissue contractility measurement device based on image recognition, which relates to the technical field of cardiac tissue measurement devices. The device comprises a device body, an input module, an image preprocessing module, a feature extraction module, a force processing module, a data fusion module, an output module and a control module. The device body is provided with an auxiliary mechanism, which comprises a shell, a rectangular groove, a circular tube and a processing shell with a hole. A one-way valve is installed at the liquid inlet end of the circular tube, and a storage box is placed inside the shell. By setting the auxiliary mechanism, the engineered cardiac tissue contractility measurement device based on image recognition can be used to process cardiac tissue that cannot be used for subsequent research. This will not only reduce the equipment cost during the transfer of cardiac tissue, but also reduce the time for transportation and transfer, and improve the overall progress of the experiment, that is, improve the use effect of the engineered cardiac tissue contractility measurement device based on image recognition.

Description

Technical Field

[0001] The present invention relates to the technical field of cardiac tissue measurement devices, and in particular to an engineered cardiac tissue contractility measurement device based on image recognition. Background Art

[0002] In the field of biomedical research, in-depth exploration of the contractility of cardiac tissue is crucial for understanding cardiac physiological mechanisms and developing treatment plans for heart diseases. In order to accurately capture the dynamic mechanical properties of cardiac tissue and gain a deeper insight into the functional regulation mechanism of the heart under normal physiological conditions and the laws of mechanical changes under pathological conditions, people generally use engineered cardiac tissue contractility measurement devices based on image recognition.

[0003] Existing engineered cardiac tissue contractility measurement devices based on image recognition have the following shortcomings:

[0004] When the engineered heart tissue completes the contractility measurement and is assessed as unusable for subsequent research, the engineered heart tissue contractility measurement device based on image recognition cannot process the heart tissue and must be transferred to a specialized biosafety laboratory to complete subsequent operations with the aid of professional tissue processing equipment. At this time, in order to ensure biosafety, specialized transportation equipment and packaging materials are generally used for transportation. This not only increases the equipment cost of transferring the heart tissue, but also increases the time for transportation and transfer, affecting the overall progress of the experiment, thereby reducing the effectiveness of the engineered heart tissue contractility measurement device based on image recognition.

[0005] Therefore, we propose an engineered cardiac tissue contractility measurement device based on image recognition to solve the problems raised in the above background technology. Summary of the Invention

[0006] The purpose of the present invention is to provide an engineered cardiac tissue contractility measurement device based on image recognition. By setting up an auxiliary mechanism, the engineered cardiac tissue contractility measurement device based on image recognition can be used to process cardiac tissue that cannot be used for subsequent research. This will not only reduce the equipment cost when transferring cardiac tissue, but also reduce the time of transportation and transfer, and improve the overall progress of the experiment, that is, improve the use effect of the engineered cardiac tissue contractility measurement device based on image recognition, so as to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention provides the following technical solutions: an engineered cardiac tissue contractility measurement device based on image recognition, comprising a device body, an input module, an image preprocessing module, a feature extraction module, a force processing module, a data fusion module, an output module, and a control module, wherein the device body is provided with an auxiliary mechanism;

[0008] The auxiliary mechanism includes a shell, a rectangular groove, a circular tube and a perforated processing shell, a one-way valve is installed at the liquid inlet end of the circular tube, a storage box is placed inside the shell, a water pump is installed inside the shell, and hoses are installed at the liquid inlet and outlet ends of the water pump. A connecting pipe is fixedly passed through the handle end of the shell, and a manual valve is installed at the liquid inlet end of the connecting pipe. A motor is installed on the outer wall of the perforated processing shell, a sealing ring is bonded and connected to the inside of the through hole of the perforated processing shell, a crushing part is rotatably connected to the inside of the sealing ring, and a sprocket is fixedly sleeved on the output end of the motor and the bottom end of the crushing part.

[0009] Preferably, a sealing gasket is bonded to the top of the inner wall of the rectangular groove, a check valve is installed at the air inlet end of the storage box, a fixing frame is fixed inside the shell, and a mounting frame is fixed to the outer wall of the perforated processing shell.

[0010] Preferably, the shell is movably sleeved inside the rectangular groove, the liquid outlet end of the circular tube movably passes through the top of the sealing gasket, the liquid outlet end of the connecting pipe is installed with the liquid inlet end of the one-way valve, and the liquid inlet end of one of the hoses is installed with the liquid outlet end of the storage box.

[0011] Preferably, the liquid outlet end of the other hose movably passes through the inner wall of the shell and is installed with the liquid inlet end of the manual valve, the mounting bracket is installed with the fixing bracket, the bottom end of the crushing member is rotatably embedded in the bottom of the inner wall of the shell, the crushing end of the crushing member is inside the perforated processing shell, and the bottom of the sealing gasket is in contact with the top of the shell.

[0012] Preferably, the device body includes a base, a workbench is fixed on the top of the base, a switch button is installed on the inner wall of the workbench, and the operating end of the switch button moves through the inner wall of the workbench, a touch screen is installed on the inner wall of the workbench, and the operating end of the touch screen moves through the inner wall of the workbench, a fan is installed on the inner wall of the workbench, and the air outlet end of the fan moves through the inner wall of the workbench.

[0013] Preferably, a power module is installed on the top of the base, an image analysis processor is installed on the top of the base, an annular slide rail is installed on the top of the workbench, four sliders are slidably connected to the annular slide rail, and a hand-tightened bolt is threaded through the top of each slider. A lifting platform is fixed inside the annular slide rail, and a placing platform is placed on the top of the lifting platform.

[0014] Preferably, a lifting frame is fixed to the top of each slider, a high-speed camera is installed on the top of each lifting frame, a microneedle sensor is provided on the top of the placement table, the threaded end of each hand-tightened bolt is abutted against the top of the annular slide rail, the rectangular groove is opened on the front surface of the workbench, and the liquid outlet end of the round tube is fixed through the top of the workbench.

[0015] Preferably, the input module is used to receive external data such as image data from a high-speed camera and force signal data from a microneedle sensor, and the image preprocessing module is used to perform preprocessing operations such as denoising, grayscale adjustment, contrast enhancement and normalization on the received image data.

[0016] Preferably, the feature extraction module is used to extract features from the preprocessed image data, and the force processing module is used to analyze and calculate the received force signal, and combine the received image feature data to derive parameters related to the contractility of the engineered heart tissue.

[0017] Preferably, the data fusion module is used to perform fusion processing on the received data and integrate the data using specific algorithms and strategies; the output module is used to convert the received data into a suitable format for output; the control module is used to monitor and manage the operating status of each module in the entire process and send control instructions to each module based on the received feedback information.

[0018] Compared with the prior art, the present invention has the following beneficial effects:

[0019] 1. By setting up an auxiliary mechanism, the present invention can enable the engineered cardiac tissue contractility measurement device based on image recognition to process cardiac tissue that cannot be used for subsequent research. This will not only reduce the equipment cost when transferring cardiac tissue, but also reduce the time for transportation and transfer, and improve the overall progress of the experiment, that is, improve the use effect of the engineered cardiac tissue contractility measurement device based on image recognition. When the engineered cardiac tissue completes the contractility measurement and is evaluated to be unusable for subsequent research, the one-way valve and the manual valve are first separated from the connecting tube, and then the handle end of the shell is used to move the shell between the rectangular groove and the sealing gasket, and then the engineered cardiac tissue is placed into the interior of the perforated processing shell, and the shell and the connecting tube are restored to their original positions.

[0020] 2. The present invention then connects the one-way valve and the manual valve to the connecting pipe, and then uses the cooperation of the started motor, two sprockets, chain and crushing parts to realize the crushing operation of the perforated treatment shell, and then uses the touch screen, the internal controller of the image analysis processor, the manual valve for opening the valve, the water pump, the two hoses, the check valve, the manual valve, the connecting pipe, the one-way valve and the circular pipe to realize the transportation of the disinfectant inside the storage box to the interior of the perforated treatment shell to disinfect the engineered heart tissue inside it, and then separates the one-way valve and the manual valve from the connecting pipe, and moves the shell between the rectangular groove and the sealing gasket, and then uses the cooperation of the movable mounting frame, the perforated treatment shell, the crushing part, the sealing ring, the two sprockets, the chain and the motor to realize the pouring of the disinfectant inside the perforated treatment shell and the engineered heart tissue into a special medical waste garbage bag.

[0021] 3. The present invention can measure the natural contraction force of engineered heart tissue by setting up the device body. When it is necessary to measure the contraction force of the natural contraction of the engineered heart tissue fixed on the placement table, the contraction force of the natural contraction of the engineered heart tissue can be detected and the engineered heart tissue can be photographed by first using the touch screen, microneedle sensor, lifting platform, placement table, annular slide rail, four sliders, four hand-tightened bolts, four lifting frames and four high-speed cameras. Then, the image analysis processor, image data, force data of the engineered heart tissue, touch screen and pre-set image analysis algorithm parameters can be used to obtain relevant parameters and results about the natural contraction force of the engineered heart tissue and display them on the touch screen. At the same time, the touch screen, the internal controller of the image analysis processor, the fan and the heat dissipation holes of the workbench can be used to remove the heat generated by the internal components of the workbench during operation.

[0022] 4. The present invention can perform preliminary formatting of the image data captured by the high-speed camera and the force data detected by the microneedle sensor under the action of the input module, and transmit the organized image data and force data to the image preprocessing module and the force processing module respectively. Under the action of the image preprocessing module, the received image data can be subjected to preprocessing operations such as denoising, grayscale adjustment, contrast enhancement and normalization, and the image data that has completed the preprocessing operation can be transmitted to the feature extraction module. Under the action of the feature extraction module, the received image data can be subjected to feature extraction, and the extracted image feature data can be transmitted to the force processing module.

[0023] 5. The present invention can analyze and calculate the received force data under the action of the force processing module, and combine the received image feature data to obtain parameters related to the contractile force of the engineered heart tissue, and then transmit the calculated contractile force-related data to the data fusion module. Under the action of the data fusion module, the received data can be fused to obtain comprehensive data that more comprehensively and accurately reflects the state of the engineered heart tissue, and the fused data can be sent to the output module. Under the action of the output module, the received data can be converted into a suitable format for output and displayed on the touch screen. Under the action of the control module, the operating status of each module in the entire process can be monitored and managed, and control instructions can be sent to each module based on the received feedback information. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a three-dimensional diagram of an engineered cardiac tissue contractility measurement device based on image recognition according to the present invention;

[0025] Figure 2 This is a three-dimensional view from another angle of an engineered cardiac tissue contractility measurement device based on image recognition according to the present invention;

[0026] Figure 3 This is a partial cross-sectional structural schematic diagram of an engineered cardiac tissue contractility measurement device based on image recognition according to the present invention;

[0027] Figure 4 A partial stereoscopic diagram of an engineered cardiac tissue contractility measurement device based on image recognition according to the present invention;

[0028] Figure 5 A three-dimensional diagram of a microneedle sensor of an engineered cardiac tissue contractility measurement device based on image recognition according to the present invention;

[0029] Figure 6 A high-speed camera stereogram of an engineered cardiac tissue contractility measurement device based on image recognition according to the present invention;

[0030] Figure 7 A three-dimensional diagram of a placement platform for an engineered cardiac tissue contractility measurement device based on image recognition according to the present invention;

[0031] Figure 8 This is a partial perspective view of the lifting frame of an engineered cardiac tissue contractility measurement device based on image recognition according to the present invention;

[0032] Figure 9 A partial stereoscopic view from another angle of an engineered cardiac tissue contractility measurement device based on image recognition according to the present invention;

[0033] Figure 10A partially cutaway perspective view of an engineered cardiac tissue contractility measurement device based on image recognition according to the present invention;

[0034] Figure 11 This is a partial cross-sectional perspective view of the device body of an engineered cardiac tissue contractility measurement device based on image recognition according to the present invention;

[0035] Figure 12 This is a partially cutaway perspective view of the auxiliary mechanism of an engineered cardiac tissue contractility measurement device based on image recognition according to the present invention;

[0036] Figure 13 This is a flow chart of an image analysis processor for an engineered cardiac tissue contractility measurement device based on image recognition according to the present invention.

[0037] Figure: 1. Device body; 101. Base; 102. Workbench; 103. Switch button; 104. Touch screen; 105. Fan; 106. Power module; 107. Image analysis processor; 108. Annular slide rail; 109. Slider; 110. Thumb bolt; 111. Lifting platform; 112. Placement platform; 113. Lifting frame; 114. High-speed camera; 115. Microneedle sensor; 2. Auxiliary mechanism; 201. Housing; 202. Rectangular groove; 203. Circular tube; 204 , one-way valve; 205, storage box; 206, connecting pipe; 207, manual valve; 208, water pump; 209, hose; 210, check valve; 211, fixing bracket; 212, mounting bracket; 213, processing shell with holes; 214, motor; 215, sprocket; 216, sealing ring; 217, crushing parts; 218, sealing gasket; 3, input module; 4, image preprocessing module; 5, feature extraction module; 6, force processing module; 7, data fusion module; 8, output module; 9, control module. DETAILED DESCRIPTION

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the implementation regulations described are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0039] Example 1: Please refer to Figure 1-Figure 4 、 Figure 9 、 Figure 10 、 Figure 12 and Figure 13As shown, the present invention provides a technical solution: an engineered cardiac tissue contractility measurement device based on image recognition, comprising a device body 1, an input module 3, an image preprocessing module 4, a feature extraction module 5, a force processing module 6, a data fusion module 7, an output module 8 and a control module 9, wherein the device body 1 is provided with an auxiliary mechanism 2;

[0040] The auxiliary mechanism 2 includes a shell 201, a rectangular groove 202, a round tube 203 and a perforated processing shell 213. A one-way valve 204 is installed at the liquid inlet end of the round tube 203. A storage box 205 is placed inside the shell 201. A water pump 208 is installed inside the shell 201. The liquid inlet and liquid outlet ends of the water pump 208 are both equipped with hoses 209. A connecting pipe 206 is fixedly passed through the handle end of the shell 201. A manual valve 206 is installed at the liquid inlet end of the connecting pipe 206. 07, the outer wall of the perforated processing shell 213 is installed with a motor 214, the through hole of the perforated processing shell 213 is bonded with a sealing ring 216, the inner rotatable connection of the sealing ring 216 is connected to a crushing piece 217, the output end of the motor 214 and the bottom end of the crushing piece 217 are fixedly sleeved with a sprocket 215, the top of the inner wall of the rectangular groove 202 is bonded with a sealing gasket 218, the air inlet end of the storage box 205 is installed with a check valve 210, the inner of the shell 201 is fixed with a sprocket 215, and the inner end of the storage box 205 is fixed with a check valve 210. The top of the housing 201 is fixed with a fixing frame 211, and the outer wall of the perforated processing shell 213 is fixed with a mounting frame 212. The shell 201 is movably sleeved inside the rectangular groove 202, and the liquid outlet end of the circular tube 203 movably passes through the top of the sealing gasket 218. The liquid outlet end of the connecting pipe 206 is installed with the liquid inlet end of the one-way valve 204. The liquid inlet end of one hose 209 is installed with the liquid outlet end of the storage tank 205, and the liquid outlet end of the other hose 209 movably passes through the inner wall of the shell 201 and is installed with the liquid inlet end of the manual valve 207. The mounting frame 212 is installed with the fixing frame 211, and the bottom end of the crushing member 217 is rotatably embedded in the bottom of the inner wall of the shell 201. The crushing end of the crushing member 217 is inside the perforated processing shell 213, and the bottom of the sealing gasket 218 contacts the top of the shell 201. The rectangular groove 202 is opened on the front surface of the workbench 102, and the liquid outlet end of the circular tube 203 is fixed through the top of the workbench 102.

[0041] In this embodiment, when the engineered heart tissue completes the contractile force measurement and is evaluated as unusable for subsequent research, the one-way valve 204 and the manual valve 207 are first separated from the connecting tube 206, and then the handle end of the shell 201 is used to move the shell 201 between the rectangular groove 202 and the sealing gasket 218. At this time, the moving shell 201 will drive all the components connected to it to move. When the shell 201 moves to the appropriate position, the movement of the shell 201 is stopped first, and then the engineered heart tissue that cannot be used for subsequent research is placed inside the perforated processing shell 213, and then the shell 201 is reset to its original position, and then the one-way valve 204 and the manual valve 207 are connected to the connecting tube 206, and then the shell 201 is used to move. The touch screen 104 and the image analysis processor 107 are used to cooperate with each other to start the motor 214. The motor 214 is driven by the two sprockets 215 and the chain to rotate the crushing member 217. The rotating crushing member 217 can crush the engineered heart tissue inside the perforated processing shell 213. When the crushing operation of the engineered heart tissue inside the perforated processing shell 213 is completed, the touch screen 104 and the image analysis processor 107 are used to cooperate with each other to turn off the motor 214, and then open the manual valve 207. Then, the touch screen 104 and the image analysis processor 107 are used to cooperate with each other to start the water pump 208. The water pump 208 is turned on between the two hoses. 209, the check valve 210, the manual valve 207, the connecting pipe 206, the one-way valve 204 and the circular tube 203 cooperate to extract the disinfectant (previously injected) in the storage box 205 and transport it to the inside of the perforated processing shell 213. When the disinfectant transported to the inside of the perforated processing shell 213 reaches an appropriate amount, the water pump 208 is turned off by directly utilizing the cooperation of the touch screen 104 and the controller inside the image analysis processor 107. At this time, the disinfectant transported to the inside of the perforated processing shell 213 can, with the cooperation of the crushing piece 217 and the sealing ring 216, disinfect the crushed engineered heart tissue inside the perforated processing shell 213. When the disinfection operation of the engineered heart tissue inside the perforated processing shell 213 is completed, the disinfectant is first Close the valve of the manual valve 207, and then operate according to the above steps to separate the one-way valve 204 and the manual valve 207 from the connecting pipe 206, and move the shell 201 to a suitable position inside the rectangular groove 202, and then remove the mounting bracket 212 from the fixing bracket 211. At this time, the moving mounting bracket 212 will drive the perforated treatment shell 213, the crushing part 217, the sealing ring 216, the two sprockets 215, the chain and the motor 214 to move together, and then pour the disinfectant and the engineered heart tissue inside the perforated treatment shell 213 into a special medical waste garbage bag, and then disinfect the internal components of the perforated treatment shell 213, and reset the perforated treatment shell 213 after treatment to its original position.

[0042] Example 2: According to Figures 1-11 As shown, the device body 1 includes a base 101, a workbench 102 is fixed on the top of the base 101, a switch button 103 is installed on the inner wall of the workbench 102, and the operating end of the switch button 103 is movable through the inner wall of the workbench 102, a touch screen 104 is installed on the inner wall of the workbench 102, and the operating end of the touch screen 104 is movable through the inner wall of the workbench 102, a fan 105 is installed on the inner wall of the workbench 102, and the air outlet end of the fan 105 is movable through the inner wall of the workbench 102, a power module 106 is installed on the top of the base 101, and an image analysis processor 1 is installed on the top of the base 101 07. An annular slide rail 108 is installed on the top of the workbench 102, and four sliders 109 are slidably connected to the annular slide rail 108. A hand-tightening bolt 110 is threaded through the top of each slider 109. A lifting platform 111 is fixed inside the annular slide rail 108, and a placement platform 112 is placed on the top of the lifting platform 111. A lifting frame 113 is fixed on the top of each slider 109, and a high-speed camera 114 is installed on the top of each lifting frame 113. A microneedle sensor 115 is provided on the top of the placement platform 112, and the threaded end of each hand-tightening bolt 110 is against the top of the annular slide rail 108.

[0043] In this embodiment, when it is necessary to measure the contractile force of the engineered heart tissue fixed on the placement table 112, the touch screen 104 is used to start the microneedle sensor 115 and the four high-speed cameras 114. At this time, the activated microneedle sensor 115 will continuously detect the contractile force of the engineered heart tissue, and transmit the detected force data to the image analysis processor 107 in the form of electrical signals. At the same time, the four activated high-speed cameras 114 will all take pictures of the engineered heart tissue on the placement table 112, and transmit the captured image data to the image analysis processor 107 in the form of electrical signals. At this time, the image analysis processor 107 will use the received image data, the force data of the engineered heart tissue, the touch screen 104 and the pre-set image analysis algorithm parameters to perform data analysis and processing, thereby obtaining relevant parameters and results about the natural contraction force of the engineered heart tissue, and displaying them on the touch screen 104. At the same time, the fan 105 is started by using the cooperation of the touch screen 104 and the internal controller of the image analysis processor 107. At this time, the started fan 105 can take away the heat generated by the internal components of the workbench 102 during operation with the cooperation of the heat dissipation holes of the workbench 102.

[0044] Example 3: According to Figure 1 、 Figure 2 、 Figure 5 、 Figure 6 and Figure 13 As shown, the input module 3 is used to receive external data such as image data from the high-speed camera 114 and force signal data from the microneedle sensor 115, the image preprocessing module 4 is used to perform preprocessing operations such as denoising, grayscale adjustment, contrast enhancement and normalization on the received image data, the feature extraction module 5 is used to extract features from the preprocessed image data, the force processing module 6 is used to analyze and calculate the received force signal, and combine the received image feature data to obtain parameters related to the contractility of the engineered heart tissue, the data fusion module 7 is used to perform fusion processing on the received data, and integrate the data using specific algorithms and strategies, the output module 8 is used to convert the received data into a suitable format for output, and the control module 9 is used to monitor and manage the operating status of each module in the entire process, and send control instructions to each module based on the received feedback information.

[0045] In this embodiment, when the input module 3 receives the image data captured by the high-speed camera 114 and the force data detected by the microneedle sensor 115, the input module 3 will perform preliminary formatting on the received image data and force data, and transmit the formatted image data and force data to the image preprocessing module 4 and the force processing module 6 respectively. Subsequently, the image preprocessing module 4 will perform preprocessing operations such as denoising, grayscale adjustment, contrast enhancement and normalization on the received image data, and transmit the image data that has completed the preprocessing operations to the feature extraction module 5. Then, the feature extraction module 5 will perform feature extraction on the received image data and transmit the extracted image feature data to the force processing module 6. Thereafter, the force processing module 6 will analyze and calculate the received force data. , and combined with the received image feature data, obtain parameters related to the contractility of the engineered heart tissue, and then transmit the calculated contractility-related data to the data fusion module 7. Then the data fusion module 7 performs fusion processing on the received data, and integrates the data using specific algorithms and strategies to obtain comprehensive data that more comprehensively and accurately reflects the state of the engineered heart tissue, and sends the fused data to the output module 8. Then the output module 8 converts the received data into a suitable format for output, such as displaying it on the touch screen 104. At the same time, the control module 9 monitors and manages the operating status of each module in the entire process, and sends control instructions to each module based on the received feedback information (from other modules), such as adjusting processing parameters or controlling data flow.

[0046] The effect and working principle of the entire mechanism are as follows:

[0047] In the preparation stage, first connect the switch button 103 to the external power supply, then connect the switch button 103 to the power module 106, then connect the four high-speed cameras 114 (adjustable angle), microneedle sensor 115, image analysis processor 107, touch screen 104, fan 105, water pump 208 and motor 214 to the power module 106, then connect the four high-speed cameras 114, microneedle sensor 115 and touch screen 104 to the image analysis processor 107, then adjust the height of the lifting platform 111, and use biocompatible adhesive to fix the engineered heart tissue that needs to be measured for contractility at the appropriate position on the top of the placement platform 112, and then Next, four thumb screws 110 and annular rails 108 are used to move the four sliders 109 to their proper positions and secure them. The heights of the four lifting frames 113 and the angles of the four high-speed cameras 114 are then adjusted. The microneedle array of the microneedle sensor 115 is then inserted into the fixed engineered cardiac tissue, enabling it to directly sense mechanical changes within the cardiac tissue. Finally, the touch screen 104 is activated using the switch button 103 and power module 106. The activated touch screen 104 is then used to set the operating parameters of the connected components (such as the shooting parameters of the high-speed cameras 114 and the image analysis algorithm of the image analysis processor 107).

[0048] During the measurement phase, when it is necessary to measure the contractile force of the engineered heart tissue fixed on the placement table 112, the touch screen 104 is used to start the microneedle sensor 115 and the four high-speed cameras 114. The activated microneedle sensor 115 will continuously detect the contractile force of the engineered heart tissue and transmit the detected force data to the image analysis processor 107 in the form of electrical signals. At the same time, the four activated high-speed cameras 114 will take pictures of the engineered heart tissue on the placement table 112 and transmit the captured image data to the image analysis processor 107 in the form of electrical signals. The image analysis processor 107 then uses the received image data, the force data of the engineered heart tissue, the touch screen 104, and pre-set image analysis algorithm parameters to perform data analysis and processing, thereby obtaining relevant parameters and results about the natural contraction force of the engineered heart tissue and displaying them on the touch screen 104. At the same time, the touch screen 104 and the internal controller of the image analysis processor 107 are used to start the fan 105. The started fan 105 can then, in cooperation with the heat dissipation holes of the workbench 102, take away the heat generated by the internal components of the workbench 102 during operation.

[0049] During the processing stage, when the engineered heart tissue completes the contraction force measurement and is evaluated as unusable for subsequent research, the one-way valve 204 and the manual valve 207 are first separated from the connecting tube 206, and then the handle end of the shell 201 is used to move the shell 201 between the rectangular groove 202 and the sealing gasket 218. At this time, the moving shell 201 will drive all the components connected to it to move. When the shell 201 moves to the appropriate position, the movement of the shell 201 is stopped first, and then the engineered heart tissue that cannot be used for subsequent research is placed inside the perforated processing shell 213, and then the shell 201 is reset to its original position, and then the one-way valve 204 and the manual valve 207 are connected to the connecting tube 206, and then the shell 201 is used to move. The touch screen 104 and the image analysis processor 107 are used to cooperate with each other to start the motor 214. The motor 214 is driven by the two sprockets 215 and the chain to rotate the crushing member 217. The rotating crushing member 217 can crush the engineered heart tissue inside the perforated processing shell 213. When the crushing operation of the engineered heart tissue inside the perforated processing shell 213 is completed, the touch screen 104 and the image analysis processor 107 are used to cooperate with each other to turn off the motor 214, and then open the manual valve 207. Then, the touch screen 104 and the image analysis processor 107 are used to cooperate with each other to start the water pump 208. The water pump 208 is turned on between the two hoses. 209, the check valve 210, the manual valve 207, the connecting pipe 206, the one-way valve 204 and the circular tube 203 cooperate to extract the disinfectant (previously injected) in the storage box 205 and transport it to the inside of the perforated processing shell 213. When the disinfectant transported to the inside of the perforated processing shell 213 reaches an appropriate amount, the water pump 208 is turned off by directly utilizing the cooperation of the touch screen 104 and the controller inside the image analysis processor 107. At this time, the disinfectant transported to the inside of the perforated processing shell 213 can, with the cooperation of the crushing piece 217 and the sealing ring 216, disinfect the crushed engineered heart tissue inside the perforated processing shell 213. When the disinfection operation of the engineered heart tissue inside the perforated processing shell 213 is completed, the disinfectant is first Close the valve of the manual valve 207, and then operate according to the above steps to separate the one-way valve 204 and the manual valve 207 from the connecting pipe 206, and move the housing 201 to a suitable position inside the rectangular groove 202. Then remove the mounting frame 212 from the fixing frame 211. At this time, the moving mounting frame 212 will drive the perforated processing shell 213, the crushing piece 217, the sealing ring 216, the two sprockets 215, the chain and the motor 214 to move together. Then, pour the disinfectant and the engineered heart tissue inside the perforated processing shell 213 into a special medical waste garbage bag. Then, disinfect the internal components of the perforated processing shell 213, and return the processed perforated processing shell 213 to its original position.

[0050] During the detailed processing stage inside the image analysis processor 107, when the input module 3 receives the image data captured by the high-speed camera 114 and the force data detected by the microneedle sensor 115, the input module 3 will perform preliminary formatting on the received image data and force data, and transmit the formatted image data and force data to the image preprocessing module 4 and the force processing module 6 respectively. Subsequently, the image preprocessing module 4 will perform preprocessing operations such as denoising, grayscale adjustment, contrast enhancement and normalization on the received image data, and transmit the image data that has completed the preprocessing operations to the feature extraction module 5. The feature extraction module 5 will then perform feature extraction on the received image data and transmit the extracted image feature data to the force processing module 6. The force processing module 6 will then perform preprocessing on the received force data. The data is analyzed and calculated, and combined with the received image feature data, the parameters related to the contractility of the engineered heart tissue are obtained, and the calculated contractility-related data are then transmitted to the data fusion module 7. The data fusion module 7 then performs fusion processing on the received data, and integrates the data using specific algorithms and strategies to obtain comprehensive data that more comprehensively and accurately reflects the state of the engineered heart tissue, and sends the fused data to the output module 8. The output module 8 then converts the received data into a suitable format for output, such as displaying it on the touch screen 104. At the same time, the control module 9 monitors and manages the operating status of each module in the entire process, and sends control instructions to each module based on the received feedback information (from other modules), such as adjusting processing parameters or controlling data flow.

[0051] The storage box 205 is composed of a box body and a box cover.

[0052] Among them, the specific algorithm mentioned above is: weighted average algorithm (data fusion), its formula: Assume there is data sources (different data, such as force data, image data, etc.), the measurement value is , the corresponding weight is (satisfy ), the fusion result is ; For data sources, such as force data, image data, etc., is the measured value, is the weight data, which is manually set by the experimenter.

[0053] Among them, the above-mentioned "deriving relevant parameters and results about the natural contractile force of engineered heart tissue" refers to the following relevant parameters: peak contractile force, end-diastolic force, contractile force change rate, contraction duration and contraction frequency.

[0054] The input module 3 is used to transmit the user instructions input by the touch screen 104 to the control module 9;

[0055] The image preprocessing module 4 is used to pass the optimized image data to the feature extraction module 5 to prepare for subsequent feature extraction;

[0056] The feature extraction module 5 is used to transmit the extracted image feature data to the force processing module 6;

[0057] The force processing module 6 is used to transmit the processed mechanical data to the data fusion module 7;

[0058] The data fusion module 7 is used to fuse the received data and pass the fused final data to the output module 8;

[0059] The output module 8 is used to receive the fused parameters, complete the format conversion, and feed it back to the control module 9;

[0060] The control module 9 is used to receive user instructions transmitted by the input module 3, send control signals to all other blocks, and receive status feedback from each module to form a closed-loop control.

[0061] Among them, the switch button 103, touch screen 104, fan 105, power module 106, image analysis processor 107, lifting platform 111, lifting frame 113, high-speed camera 114, microneedle sensor 115, water pump 208 and motor 214 are all existing technologies, and their working principles are all public technologies. Their models can be selected according to actual conditions and will not be explained in detail here.

[0062] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An engineered cardiac tissue contractility measurement device based on image recognition, comprising a device body (1), an input module (3), an image preprocessing module (4), a feature extraction module (5), a force processing module (6), a data fusion module (7), an output module (8) and a control module (9), characterized in that: An auxiliary mechanism (2) is provided on the device body (1); The auxiliary mechanism (2) comprises a housing (201), a rectangular groove (202), a circular tube (203) and a perforated processing housing (213); a one-way valve (204) is installed at the liquid inlet end of the circular tube (203); a storage box (205) is placed inside the housing (201); a water pump (208) is installed inside the housing (201); a hose (209) is installed at both the liquid inlet end and the liquid outlet end of the water pump (208); a connecting tube (206) is fixedly passed through the handle end of the housing (201); a manual valve (207) is installed at the liquid inlet end of the connecting tube (206); a motor (214) is installed on the outer wall of the perforated processing housing (213); a sealing ring (216) is bonded and connected to the inside of the through hole of the perforated processing housing (213); the sealing ring (216) is fixed and connected to the inside of the through hole of the perforated processing housing (213); The inner portion of the ring (216) is rotatably connected to a crushing member (217), the output end of the motor (214) and the bottom end of the crushing member (217) are fixedly sleeved with a sprocket (215), the top of the inner wall of the rectangular groove (202) is bonded and connected with a sealing gasket (218), the inner portion of the shell (201) is fixed with a fixing frame (211), the outer wall of the perforated processing shell (213) is fixed with a mounting frame (212), the shell (201) is movably sleeved inside the rectangular groove (202), the liquid outlet end of the circular tube (203) movably penetrates the top of the sealing gasket (218), the liquid outlet end of the connecting pipe (206) is installed with the liquid inlet end of the one-way valve (204), and the liquid inlet end of one of the hoses (209) is installed with the liquid outlet end of the storage box (205).

2. The image recognition-based engineered cardiac tissue contractility measurement device according to claim 1, characterized in that: A check valve (210) is installed at the air inlet end of the storage box (205).

3. The engineered cardiac tissue contractility measurement device based on image recognition according to claim 1, characterized in that: The liquid outlet end of the other hose (209) movably penetrates the inner wall of the shell (201) and is installed with the liquid inlet end of the manual valve (207). The mounting frame (212) is installed with the fixing frame (211). The bottom end of the crushing member (217) is rotatably embedded in the bottom of the inner wall of the shell (201). The crushing end of the crushing member (217) is located inside the perforated processing shell (213). The bottom of the sealing gasket (218) is in contact with the top of the shell (201).

4. The image recognition-based engineered cardiac tissue contractility measurement device according to claim 1, characterized in that: The device body (1) comprises a base (101), a workbench (102) is fixed on the top of the base (101), a switch button (103) is installed on the inner wall of the workbench (102), and the operating end of the switch button (103) movably penetrates the inner wall of the workbench (102), a touch screen (104) is installed on the inner wall of the workbench (102), and the operating end of the touch screen (104) movably penetrates the inner wall of the workbench (102), a fan (105) is installed on the inner wall of the workbench (102), and the air outlet end of the fan (105) movably penetrates the inner wall of the workbench (102).

5. The image recognition-based engineered cardiac tissue contractility measurement device according to claim 4, characterized in that: A power module (106) is installed on the top of the base (101), an image analysis processor (107) is installed on the top of the base (101), an annular slide rail (108) is installed on the top of the workbench (102), four sliders (109) are slidably connected to the annular slide rail (108), and a hand-tightened bolt (110) is threaded through the top of each slider (109), a lifting platform (111) is fixed inside the annular slide rail (108), and a placement platform (112) is placed on the top of the lifting platform (111).

6. The image recognition-based engineered cardiac tissue contractility measurement device according to claim 5, characterized in that: A lifting frame (113) is fixed on the top of each slider (109), a high-speed camera (114) is installed on the top of each lifting frame (113), a microneedle sensor (115) is provided on the top of the placement table (112), the threaded end of each hand-tightening bolt (110) is against the top of the annular slide rail (108), the rectangular groove (202) is opened on the front surface of the workbench (102), and the liquid outlet end of the circular tube (203) is fixed through the top of the workbench (102).

7. The image recognition-based engineered cardiac tissue contractility measurement device according to claim 6, characterized in that: The input module (3) is used to receive external data such as image data from a high-speed camera (114) and force signal data from a microneedle sensor (115), and the image preprocessing module (4) is used to perform preprocessing operations such as denoising, grayscale adjustment, contrast enhancement and normalization on the received image data.

8. The engineered cardiac tissue contractility measurement device based on image recognition according to claim 1, characterized in that: The feature extraction module (5) is used to extract features from the pre-processed image data, and the force processing module (6) is used to analyze and calculate the received force signal, and to obtain parameters related to the contractile force of the engineered heart tissue in combination with the received image feature data.

9. The device for measuring engineered cardiac tissue contractility based on image recognition according to claim 1, characterized in that: The data fusion module (7) is used to perform fusion processing on the received data and integrate the data using specific algorithms and strategies. The output module (8) is used to convert the received data into a suitable format for output. The control module (9) is used to monitor and manage the operating status of each module in the entire process and send control instructions to each module based on the received feedback information.

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