Microscopic optical coherence elastic imaging method and system

Abstract

The present application relates to the technical field of optical coherence elastic imaging, and in particular to a microscopic optical coherence elastic imaging method and system, wherein the method comprises: generating an acquisition trigger signal, outputting a vibration control signal and a position control signal simultaneously, and determining a target excitation system corresponding to a sample to be tested; triggering a line scan camera by the acquisition trigger signal, acquiring a line scan image of the sample to be tested, and adjusting the position of the sample to be tested in the sample stage to place it in a target test position; controlling the vibration of a bending actuator or an ultrasonic transducer by a vibration control signal to excite low-frequency shear waves or ultrasonic waves in the sample to be tested; scanning the sample to be tested by a position control signal to obtain propagation information of low-frequency shear waves or ultrasonic waves, and reconstructing the pixel-level biomechanical properties of the sample to be tested by a near-field full-wave inversion algorithm, thereby being able to observe the microstructure of deeper tissues, and having a faster imaging speed, thereby improving the detection performance of small inclusions.

Description

Technical Field

[0001] The present application relates to the technical field of optical coherence elastic imaging, and in particular to a microscopic optical coherence elastic imaging method and system. Background Art

[0002] Optical Coherence Elastography (OCE) is an elastic imaging technique developed based on Optical Coherence Tomography (OCT). The basic principle of OCE technology is to use some kind of mechanical excitation to generate static or dynamic deformation in soft tissue, measure this deformation using OCT technology, and then use the measured deformation to invert the biomechanical properties of the soft tissue. OCE technology based on static deformation has been initially applied to the problem of determining tumor tissue boundaries during surgery. The limitation of OCE technology based on static deformation is that it can only qualitatively measure the elastic modulus of soft tissue, while OCE technology based on dynamic deformation can quantitatively determine the biomechanical properties of soft tissue and has a wide range of applications.

[0003] Understanding the mechanical properties of cells and tissues is crucial for studying their physiological functions and pathological changes. In situ, non-destructive measurement techniques can perform measurements without damaging biological tissues. Measuring the stress and elastic properties of biological tissues can provide an important basis for early diagnosis and precise treatment of diseases; measuring the effects of drugs on the mechanical properties of biological soft tissues can also evaluate the biological activity and potential effects of drugs. The method based on μOCT combined with elastic imaging can excite shear waves or ultrasound in biological tissues and reconstruct them through an image reconstruction module to obtain biomechanical images of soft tissues. Compared with technologies such as nanoindentation and atomic force microscopy, it has higher resolution, faster imaging speed, is capable of three-dimensional imaging, and can penetrate and observe the microstructure inside biological tissues. Therefore, it has a wider range of applications, such as targeted drug design and screening, and quality evaluation of organoids and oocytes.

[0004] Embryonic development is a complex process, progressing from a single fertilized egg into a complete individual with complex morphology and function. During this process, biomechanical properties undergo significant transformations. Although many key genes and biochemical factors that control tissue and organ formation have been identified, these molecular discoveries do not fully explain how the embryo precisely constructs tissues and organs with unique physical properties and three-dimensional structures at the microscopic level. The mechanical properties of the actual cells themselves and the extracellular matrix in which they reside play a crucial role in regulating cell fate and the formation of tissue architecture during embryonic development.

[0005] Organoids are three-dimensional in vitro structures constructed using stem cell-based technologies that mimic the structure and function of real biological tissues. These highly realistic organ models not only replicate the morphological characteristics of tissues and organs but also restore their physiological functions to a certain extent. Organoids have become a highly sought-after in vitro model due to their human origin, ability to mimic organ development and formation, genomic stability during long-term in vitro expansion, and the ability to form living biobanks for high-throughput screening. High-throughput organoid models allow for the evaluation of drug efficacy and potential side effects. The μOCE system can monitor morphological changes in biological tissues and efficiently image and analyze organoids in three dimensions, making it suitable for organoid imaging studies. Because organoids vary significantly in size, morphology, and drug response, the application of μOCE in organoids can provide strong support for the histological classification of cancer and personalized medicine.

[0006] However, the above prior art has the following main disadvantages:

[0007] 1. Existing OCT systems are limited by spectral bandwidth and wavelength range, with a resolution generally around 10-15 μm. Due to this resolution limitation, finer structures at the cellular scale cannot be observed.

[0008] 2. Nanoindentation technology is a contact measurement method that may cause damage to soft tissues or sensitive materials. Its spatial resolution is limited by the size of the indentation, and it can usually only measure the mechanical properties of the surface or near the surface. It is necessary to test at multiple points to obtain representative data. The testing process is time-consuming and can usually only measure the mechanical properties of the surface or near the surface. In order to obtain the spatial distribution of mechanical properties;

[0009] 3. Brillouin microscopy requires more complex equipment and costs, and the acquisition time is longer. Furthermore, Brillouin microscopy can only measure the longitudinal modulus of soft tissue, not the shear modulus, and cannot directly reflect tissue hardness. Furthermore, imaging stability and repeatability are limited.

[0010] In summary, the existing micron-scale biomechanical measurement technology has low spatial resolution and requires invasive measurements and advance sample preparation, making dynamic measurements difficult and urgently needing to be solved. Summary of the Invention

[0011] The present application provides a microscopic optical coherence elastic imaging method and system to solve the problems of low spatial resolution of existing micrometer-scale biomechanical measurement technology, the need for invasive measurement and advance sample preparation, and difficulty in dynamic measurement.

[0012] The first aspect of the present application provides a microscopic optical coherence elastic imaging method, comprising the following steps: generating an acquisition trigger signal using a preset multifunctional I / O device, and simultaneously outputting a vibration control signal and a position control signal; triggering a preset line scan camera through the acquisition trigger signal to acquire a line scan image corresponding to a target sample to be tested, and adjusting the position of the target sample to be tested in a preset sample stage based on the line scan image, so that the target sample to be tested is placed at a target test position; controlling the vibration of a preset bending actuator or ultrasonic transducer in a target excitation system using the vibration control signal to excite low-frequency shear waves or ultrasonic waves in the target sample to be tested at the target test position; scanning the target sample to be tested based on the position control signal to obtain propagation information of the low-frequency shear wave or the ultrasonic wave, and reconstructing the pixel-level biomechanical properties of the target sample to be tested based on the propagation information and a preset near-field full-wave inversion algorithm.

[0013] Optionally, in one embodiment of the present application, generating an acquisition trigger signal and simultaneously outputting a vibration control signal and a position control signal using a preset multifunctional I / O device includes: determining a target scanning mode and scanning information corresponding to a preset galvanometer, wherein the target scanning mode includes a B mode or an MB mode, and the scanning information includes a scanning length and an offset; causing the multifunctional I / O device to output an X-channel signal and a Y-channel signal based on the target scanning mode and the scanning information, and using the X-channel signal and the Y-channel signal as the position control signal; outputting a Z-channel waveform using the multifunctional I / O device, and generating the vibration control signal based on the Z-channel waveform; controlling the multifunctional I / O device to generate an acquisition trigger signal that meets a preset frequency requirement using a preset software programming strategy; and detecting whether liquid is present in the target sample to be tested, and when liquid is present in the target sample to be tested, selecting a preset underwater excitation system as the target excitation system; and when liquid is not present in the target sample to be tested, selecting a preset shear wave excitation system as the target excitation system.

[0014] Optionally, in one embodiment of the present application, the preset line scan camera is triggered by the acquisition trigger signal to acquire a line scan image corresponding to the target sample to be tested, and based on the line scan image, the position of the target sample to be tested in the preset sample stage is adjusted so that the target sample to be tested is placed at the target test position, including: fixing the target sample to be tested in the sample stage, and setting the trigger mode, inter-line acquisition interval, exposure time and data transmission method corresponding to the line scan camera; based on the trigger mode and the acquisition trigger signal, triggering the line scan camera to acquire the line scan image corresponding to the target sample to be tested according to the inter-line acquisition interval, the exposure time and the data transmission method; performing background noise removal and dispersion correction addition operations on the line scan image to obtain a corresponding interference signal, and performing Fourier transform on the interference signal to generate a corresponding A-line diagram; calibrating the position of the target sample to be tested according to the interference signal and the A-line diagram so that the target sample to be tested is placed at the target test position of the sample stage.

[0015] Optionally, in one embodiment of the present application, the vibration control signal is used to control the vibration of a preset bending actuator or ultrasonic transducer in the target excitation system to excite low-frequency shear waves or ultrasonic waves in the target sample to be tested at the target test position, including: when the target excitation system is the shear wave excitation system, the vibration control signal is used to generate a corresponding shear wave waveform signal, and the shear wave waveform signal is sent to the multi-functional I / O device to generate a corresponding excitation signal, and the excitation signal is sent to a preset power amplifier to generate a corresponding waveform amplification signal, and the bending actuator is driven by the waveform amplification signal to excite the low-frequency shear wave corresponding to the target sample to be tested; when the target excitation system is the underwater excitation system, the vibration control signal is used to control the ultrasonic transducer to perform high-frequency mechanical vibration to excite the ultrasonic wave corresponding to the target sample to be tested, or, based on the ultrasonic transducer and the preset acoustic metasurface, a needle-shaped Airy beam is generated to excite the ultrasonic wave corresponding to the target sample to be tested through the needle-shaped Airy beam.

[0016] Optionally, in one embodiment of the present application, the target sample to be tested is scanned based on the position control signal to obtain the propagation information of the low-frequency shear wave or the ultrasonic wave, and the pixel-level biomechanical properties of the target sample to be tested are reconstructed according to the propagation information and a preset near-field full-wave inversion algorithm, including: adjusting the scanning direction of the galvanometer by the position control signal to generate a scanning waveform corresponding to the position control signal, and determining the X-direction galvanometer position and the Y-direction galvanometer position corresponding to the position control signal according to the scanning waveform, and controlling the galvanometer to scan the target sample to be tested based on the X-direction galvanometer position and the Y-direction galvanometer position to obtain the propagation information corresponding to the low-frequency shear wave or the ultrasonic wave; performing phase analysis on the propagation information to detect the corresponding full-field shear wave, and performing a full-wave inversion operation on the full-field shear wave based on a preset reverberation shear wave strategy or a SWENet deep neural network model to obtain the corresponding shear modulus and Young's modulus, and reconstructing the pixel-level biomechanical properties of the target sample to be tested.

[0017] The second aspect of the present application provides a microscopic optical coherence elastic imaging system, including: a multifunctional I / O device for generating an acquisition trigger signal and simultaneously outputting a vibration control signal and a position control signal; a real-time image display module for triggering a preset line scan camera through the acquisition trigger signal to acquire a line scan image corresponding to the target sample to be tested, and based on the line scan image, adjusting the position of the target sample to be tested in a preset sample stage so that the target sample to be tested is placed at a target test position; a sample excitation module for controlling the vibration of a preset bending actuator or ultrasonic transducer in a target excitation system using the vibration control signal to excite low-frequency shear waves or ultrasonic waves in the target sample to be tested at the target test position; a reconstruction module for scanning the target sample to be tested based on the position control signal to obtain propagation information of the low-frequency shear wave or the ultrasonic wave, and reconstructing the pixel-level biomechanical properties of the target sample to be tested based on the propagation information and a preset near-field full-wave inversion algorithm.

[0018] Optionally, in one embodiment of the present application, the real-time image display module includes: the line scan camera, which is used to collect the line scan image corresponding to the target sample to be tested, and perform background noise removal and dispersion correction addition operations on the line scan image to obtain a corresponding interference signal, and perform Fourier transform on the interference signal to generate a corresponding A-line diagram, and calibrate the position of the target sample to be tested according to the interference signal and the A-line diagram so that the target sample to be tested is placed at the target test position of the sample stage.

[0019] Optionally, in one embodiment of the present application, the sample excitation module includes: a shear wave excitation unit, which is used to generate a corresponding shear wave waveform signal through the vibration control signal when the target excitation system is the shear wave excitation system, and send the shear wave waveform signal to the multi-functional I / O device to generate a corresponding excitation signal, and send the excitation signal to a preset power amplifier to generate a corresponding waveform amplification signal, and drive the bending actuator through the waveform amplification signal to excite the low-frequency shear wave corresponding to the target sample to be tested; an underwater excitation unit, which is used to set the target test position of the target sample to be tested to the focus of the preset sample arm and the ultrasonic transducer when the target excitation system is the underwater excitation system, and based on the vibration control signal, make the ultrasonic transducer perform high-frequency mechanical vibration to excite the ultrasonic wave corresponding to the target sample to be tested, or, based on the ultrasonic transducer and the preset acoustic metasurface, generate a needle-shaped Airy beam to excite the ultrasonic wave corresponding to the target sample to be tested through the needle-shaped Airy beam.

[0020] Optionally, in one embodiment of the present application, the reconstruction module includes: a galvanometer, used to adjust the scanning direction according to the position control signal to determine the X-direction galvanometer position and the Y-direction galvanometer position corresponding to the position control signal, and to scan the target sample to be tested based on the X-direction galvanometer position and the Y-direction galvanometer position to obtain the propagation information corresponding to the low-frequency shear wave or the ultrasonic wave; a full-wave inversion unit, used to perform phase analysis on the propagation information to detect the corresponding full-field shear wave, and based on a preset reverberation shear wave strategy or SWENet deep neural network model, perform a full-wave inversion operation on the full-field shear wave to obtain the corresponding shear modulus and Young's modulus, and reconstruct the pixel-level biomechanical properties of the target sample to be tested.

[0021] A third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the microscopic optical coherence elasticity imaging method as described in the above embodiment.

[0022] Therefore, the embodiments of the present application have the following beneficial effects:

[0023] The embodiments of the present application can generate an acquisition trigger signal by utilizing a preset multifunctional I / O device, and output a vibration control signal and a position control signal at the same time; trigger a preset line scan camera by the acquisition trigger signal to acquire a line scan image corresponding to the target sample to be tested, and adjust the position of the target sample to be tested in the preset sample stage based on the line scan image, so that the target sample to be tested is placed at the target test position; use the vibration control signal to control the vibration of the preset bending actuator or ultrasonic transducer in the target excitation system to excite low-frequency shear waves or ultrasonic waves in the target sample to be tested at the target test position; scan the target sample to be tested based on the position control signal to obtain the propagation information of the low-frequency shear wave or ultrasonic wave, and reconstruct the pixel-level biomechanical properties of the target sample to be tested based on the propagation information and the preset near-field full-wave inversion algorithm. The present application can realize non-contact measurement, does not change the mechanical properties of the soft tissue itself during measurement, can observe the microstructure of deeper tissues, and has a fast imaging speed, thereby improving the detection performance of small inclusions. This solves the problems of existing micron-scale biomechanical measurement technology, such as low spatial resolution, the need for invasive measurement and advance sample preparation, and difficulty in dynamic measurement.

[0024] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0026] Figure 1 This is a flow chart of a microscopic optical coherence elastic imaging method provided according to an embodiment of the present application;

[0027] Figure 2 A schematic diagram of a graphical user interface data flow processing provided for one embodiment of the present application;

[0028] Figure 3 A schematic diagram of an X-channel signal and a Y-channel signal output by a multifunctional I / O device according to an embodiment of the present application;

[0029] Figure 4 A schematic diagram of a Z channel signal and a pulse signal output by a multifunctional I / O device according to an embodiment of the present application;

[0030] Figure 5 A schematic diagram of a shear wave excitation system provided in accordance with an embodiment of the present application;

[0031] Figure 6 A schematic diagram of an underwater excitation system provided for one embodiment of the present application;

[0032] Figure 7 A schematic diagram of a manufacturing process of an acoustic metasurface provided in accordance with one embodiment of the present application;

[0033] Figure 8 A schematic diagram of an acoustic metasurface-based excitation system provided for one embodiment of the present application;

[0034] Figure 9 A schematic diagram of a physical information neural network provided for one embodiment of the present application;

[0035] Figure 10 is an exemplary diagram of a microscopic optical coherence elastic imaging system according to an embodiment of the present application;

[0036] Figure 11 A schematic diagram of the logical architecture of a microscopic optical coherence elastic imaging system provided in one embodiment of the present application;

[0037] Figure 12 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0038] Among them, 10-microscopic optical coherence elastic imaging system; 100-multifunctional I / O device, 200-real-time image display module, 300-sample excitation module, 400-reconstruction module; 1201-memory, 1202-processor, 1203-communication interface. DETAILED DESCRIPTION

[0039] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0040] The following describes a microscopic optical coherence elastic imaging method and system according to an embodiment of the present application with reference to the accompanying drawings. In response to the problems mentioned in the above background technology, the present application provides a microscopic optical coherence elastic imaging method, in which an acquisition trigger signal is generated by utilizing a preset multifunctional I / O device, and a vibration control signal and a position control signal are output simultaneously; a preset line scan camera is triggered by the acquisition trigger signal to acquire a line scan image corresponding to the target sample to be tested, and based on the line scan image, the position of the target sample to be tested in the preset sample stage is adjusted so that the target sample to be tested is placed at the target test position; a preset bending actuator or ultrasonic transducer in the target excitation system is controlled to vibrate using the vibration control signal to excite low-frequency shear waves or ultrasonic waves in the target sample to be tested at the target test position; based on the position control signal, the target sample to be tested is scanned to obtain propagation information of the low-frequency shear wave or ultrasonic wave, and the pixel-level biomechanical properties of the target sample to be tested are reconstructed according to the propagation information and a preset near-field full-wave inversion algorithm. This application enables non-contact measurement without altering the mechanical properties of soft tissue, enabling observation of the microstructure of deeper tissue layers. It also boasts faster imaging speeds and improved detection of small inclusions. This addresses the challenges of existing micron-scale biomechanical measurement techniques, which suffer from low spatial resolution, the need for invasive measurements and pre-prepared samples, and the difficulty in performing dynamic measurements.

[0041] Specifically, Figure 1 This is a flow chart of a microscopic optical coherence elastic imaging method provided in an embodiment of the present application.

[0042] like Figure 1 As shown, the microscopic optical coherence elastic imaging method includes the following steps:

[0043] In step S101 , a preset multifunctional I / O device is used to generate an acquisition trigger signal, and simultaneously output a vibration control signal and a position control signal.

[0044] The embodiment of the present application can first simultaneously control three analog outputs through a multi-function I / O device to generate an acquisition trigger signal, and simultaneously output a vibration control signal and a position control signal. In addition, the embodiment of the present application also needs to determine the excitation system corresponding to the sample to be tested, so as to provide reliable data guidance and technical support for the scanning of the sample to be tested.

[0045] Optionally, in one embodiment of the present application, a preset multifunctional I / O device is used to generate an acquisition trigger signal and simultaneously output a vibration control signal and a position control signal, including: determining a target scanning mode and scanning information corresponding to a preset galvanometer, wherein the target scanning mode includes a B mode or an MB mode, and the scanning information includes a scanning length and an offset; based on the target scanning mode and the scanning information, causing the multifunctional I / O device to output an X-channel signal and a Y-channel signal, and using the X-channel signal and the Y-channel signal as the position control signal; using the multifunctional I / O device to output a Z-channel waveform, and generating a vibration control signal based on the Z-channel waveform; controlling the multifunctional I / O device to generate an acquisition trigger signal that meets a preset frequency requirement through a preset software programming strategy; and detecting whether a target sample to be tested contains liquid. When liquid is present in the target sample to be tested, a preset underwater excitation system is selected as the target excitation system; when liquid is present in the target sample to be tested, a preset shear wave excitation system is selected as the target excitation system.

[0046] During actual implementation, the embodiments of the present application may first determine the target scanning mode (B mode or MB mode) and scanning information (scanning length and offset) corresponding to the galvanometer, and generate a position control signal according to the scanning mode and scanning information.

[0047] In an embodiment of this application, a multifunctional I / O device can simultaneously control three analog outputs (X, Y, and Z), ensuring system synchronization by simultaneously outputting pulse signals and analog output signals. The X and Y position control signals are used to control the scanning direction of the galvanometer mirror; the Z signal is used to control the bending actuator, i.e., the vibration control signal.

[0048] As an achievable method, an embodiment of the present application can switch to MB mode in the PYTHON code, control the multi-function I / O device to output X, Y channel signals to control the galvanometer position, and output the Z channel waveform to generate a vibration signal. At this time, the scanning galvanometer and PZT work synchronously, and the system starts MB mode scanning.

[0049] In addition, the embodiment of the present application can also use software programming to control the multi-function I / O device PCIE-6323 to generate 10,000 trigger signals per second to ensure that the camera is triggered once every 100 microseconds.

[0050] Secondly, the embodiments of the present application can also determine whether there is liquid in the sample to be tested. If there is liquid in the sample to be tested, the underwater excitation system can be selected as the target excitation system; if there is no liquid in the sample to be tested, the shear wave excitation system can be selected as the excitation system.

[0051] Therefore, the embodiment of the present application generates an acquisition trigger signal, outputs a vibration control signal and a position control signal at the same time, and determines the corresponding target excitation system, thereby effectively ensuring the smooth execution of the scanning of the sample to be tested.

[0052] In step S102, the preset line scan camera is triggered by collecting a trigger signal to collect a line scan image corresponding to the target sample to be tested, and based on the line scan image, the position of the target sample to be tested in the preset sample stage is adjusted so that the target sample to be tested is placed in the target test position.

[0053] Furthermore, the embodiments of the present application also need to trigger the line scan camera by acquiring a trigger signal to acquire a line scan image of the sample to be tested, so as to adjust the position of the sample to be tested in the sample stage through the line scan image, so that the sample to be tested is placed in the target test position.

[0054] Optionally, in one embodiment of the present application, a preset line scan camera is triggered by an acquisition trigger signal to acquire a line scan image corresponding to the target sample to be tested, and based on the line scan image, the position of the target sample to be tested in the preset sample stage is adjusted to place the target sample to be tested at the target test position, including: fixing the target sample to be tested in the sample stage, and setting the trigger mode, line acquisition interval, exposure time and data transmission method corresponding to the line scan camera; triggering the line scan camera based on the trigger mode and the acquisition trigger signal to acquire the line scan image corresponding to the target sample to be tested according to the line acquisition interval, exposure time and data transmission method; performing background noise removal and dispersion correction addition operations on the line scan image to obtain a corresponding interference signal, and performing Fourier transform on the interference signal to generate a corresponding A-line diagram; calibrating the position of the target sample to be tested according to the interference signal and the A-line diagram to place the target sample to be tested at the target test position of the sample stage.

[0055] In the specific implementation process, the biological tissue or material sample to be tested needs to be prepared and fixed on the sample stage of the sample arm to ensure that the sample is stable and easy to image.

[0056] As a feasible approach, the Octoplus (E2V) line scan camera was selected. This camera supports software control of its exposure time, data transmission method, and triggering mode. In the microscopic optical coherence tomography system, the line scan camera can be set to external trigger mode. With an exposure time of 80 microseconds per line, the acquisition interval between lines is set to approximately 100 microseconds to ensure that each line can complete exposure and transmission.

[0057] Afterwards, in the software settings, the embodiment of the present application uses the main memory to call the cache in the camera every time 1024 lines are acquired. These 1024 lines constitute a frame in the camera, and the frame rate of the camera is about 9.8 frames per second. Then, the embodiment of the present application can start a real-time display graphical user interface (GUI) to collect line scan images of the sample to be tested through the line scan camera, and perform background noise removal and dispersion correction addition operations on the line scan images to obtain corresponding interference signals, such as Figure 2 As shown; further, the embodiment of the present application can also perform Fourier transform on the interference signal to generate a corresponding A-line diagram, so as to calibrate the position of the sample to be tested according to the interference signal and the A-line diagram, so that the sample to be tested is placed at the target test position of the sample stage.

[0058] Therefore, the embodiment of the present application calibrates the real-time displayed image and guides the sample to the test position in real time by observing the real-time grayscale image and Fourier transform image; in addition, the embodiment of the present application has a fast imaging speed and can display the grayscale image of the object to be tested on the image interface in real time, and there is no need to mark or preprocess the sample, and the surface of the sample to be tested can be quickly found using image guidance.

[0059] In step S103 , the vibration control signal is used to control the vibration of a preset bending actuator or ultrasonic transducer in the target excitation system to excite low-frequency shear waves or ultrasonic waves in the target sample to be tested at the target test position.

[0060] It should be understood by those skilled in the art that the multifunctional I / O device in the embodiment of the present application controls three analog outputs (X, Y, Z) at the same time and ensures the synchronization of the system by outputting pulse signals and analog output signals at the same time. Figure 3 The control signals in the X and Y directions are used to control the scanning direction of the galvanometer; Figure 4 The Z-direction signal shown is used to control the bending actuator or ultrasonic transducer, thereby generating low-frequency shear waves or ultrasonic waves in the sample; when generating the signal, if 1024 waveform points are generated, then the value on each waveform point represents the position of the galvanometer and bending actuator when scanning the 1024 lines of the camera frame.

[0061] It should be noted that when the shear wave excitation system is used for excitation in the embodiment of the present application, the frequency is scanned from 500 Hz to 10 kHz or a single frequency (for example, 1 kHz) is selected; when an underwater excitation system is used for excitation, a focused ultrasonic transducer (frequency range 2 MHz to 50 MHz) is generally used, and alternating acoustic radiation force is excited in the sample through low-frequency (500 Hz to 10 kHz) modulation.

[0062] Optionally, in one embodiment of the present application, a vibration control signal is used to control the vibration of a preset bending actuator or ultrasonic transducer in the target excitation system to excite low-frequency shear waves or ultrasonic waves in the target sample to be tested at the target test position, including: when the target excitation system is a shear wave excitation system, a corresponding shear wave waveform signal is generated by a vibration control signal, and the shear wave waveform signal is sent to a multi-function I / O device to generate a corresponding excitation signal, and the excitation signal is sent to a preset power amplifier to generate a corresponding waveform amplification signal, and the bending actuator is driven by the waveform amplification signal to excite the low-frequency shear wave corresponding to the target sample to be tested; when the target excitation system is an underwater excitation system, the ultrasonic transducer is controlled to perform high-frequency mechanical vibration by a vibration control signal to excite the ultrasonic wave corresponding to the target sample to be tested, or, based on the ultrasonic transducer and a preset acoustic metasurface, a needle-shaped Airy beam is generated to excite the ultrasonic wave corresponding to the target sample to be tested through the needle-shaped Airy beam.

[0063] It should be noted that, in the embodiment of the present application, the waveform of the shear wave can be generated by the software system of the workstation, and the waveform signal is connected to the PZT driver (i.e., the power amplifier), which can be powered by a 30V linear power supply, to excite a low-frequency wave (i.e., the excitation signal) with a frequency between 500Hz-10kHz, and the excitation signal is sent to the power amplifier. The waveform amplification signal generated by the power amplifier is directly connected to the piezoelectric dual-chip bending actuator, and drives the bending actuator to transmit the vibration to the sample on the vibration plate through the transparent vibration plate above it, so as to achieve the effect of dynamic deformation, such as Figure 5 shown.

[0064] It should be noted that, in the actual implementation process, those skilled in the art may also adopt other methods to stimulate low-frequency shear waves in biological soft tissues according to actual conditions, such as some low-frequency mechanical devices, etc., which are not specifically limited here.

[0065] However, Figure 5 Although the shear wave excitation system shown can excite shear waves in solid samples, when there is liquid in the sample being tested, the low-frequency waves generated by the shear wave excitation system cannot effectively propagate in the liquid.

[0066] Therefore, the embodiment of the present application also constructs Figure 6 The underwater excitation system shown in Figure 1 is primarily driven by an ultrasonic transducer. This system requires the sample to be simultaneously placed at the sample arm and the focus of the ultrasonic transducer. The ultrasonic transducer converts electrical signals into high-frequency mechanical vibrations. Unlike the waves generated by shear wave excitation systems, ultrasonic waves have strong directionality and excellent penetration, making them suitable for non-invasive detection and precise control.

[0067] As a possible implementation method, the embodiment of the present application can also be implemented as follows: Figure 7 The acoustic metasurface manufacturing process shown constructs the acoustic metasurface to generate a needle-shaped Airy beam by combining a flat-plate ultrasonic transducer with the acoustic metasurface, so as to excite the shear wave corresponding to the target sample to be tested through the needle-shaped Airy beam.

[0068] The flat-plate transducer converts electrical signals into high-frequency vibrations, forming ultrasonic waves. The hyperplane has a special microstructure that controls the propagation of sound waves, forming a needle-shaped Airy beam. The needle-shaped Airy beam has a relatively narrow focal area, which can form a high-intensity sound field at the focal point, generating shear waves with higher amplitude and shorter wavelength in the tissue, thereby increasing the spatial frequency of the shear waves. The Airy beam is self-healing during propagation and has strong penetrating ability. The needle-shaped Airy beam is not easily affected by diffraction and medium inhomogeneities, and has strong anti-interference capabilities, enabling the imaging system to receive more accurate and higher-quality signals, which is beneficial for improving imaging resolution and signal-to-noise ratio. Figure 8 Schematic diagram of the excitation system based on acoustic metasurface, as shown in Figure 8 As shown, the excitation component includes a single-source flat-plate piezoelectric wafer and a metasurface. During use, an ultrasonic coupling agent is applied to the metasurface to fill the gap between the excitation component and the sample, reducing sound wave reflection and enhancing its penetration and propagation. In actual implementation, the custom-made flat-plate ultrasonic transducer and acoustic metasurface in this embodiment can generate ultrasonic waves of various frequencies and control their phase, amplitude, propagation direction, and other information as needed.

[0069] It can be understood that the ultrasonic waves generated by the underwater excitation system in the embodiment of the present application can propagate well in the liquid and can effectively excite the sample in the liquid.

[0070] In step S104, based on the position control signal, the target sample to be tested is scanned to obtain the propagation information of low-frequency shear waves or ultrasonic waves, and the pixel-level biomechanical properties of the target sample to be tested are reconstructed according to the propagation information and a preset near-field full-wave inversion algorithm.

[0071] Furthermore, the embodiments of the present application perform scanning measurements at different positions of the sample based on the position control signal, and perform multiple measurements at different or the same positions of the sample according to actual needs to obtain the propagation information of low-frequency shear waves or ultrasonic waves, and based on the propagation information and the near-field full-wave inversion algorithm, ultimately achieve the characterization of biomechanical properties with a micron (~2 microns) scale resolution, and reconstruct the pixel-level biomechanical properties of the target sample to be tested.

[0072] Therefore, the embodiments of the present application can achieve full-wave inversion and reconstruction of pixel-level biomechanical properties by stimulating and measuring low-frequency shear waves or ultrasound waves of the target tissue, and through the spatiotemporal data (especially velocity) of shear wave and ultrasound propagation, and using near-field full waves (evanescent waves and diffracted waves, etc.), thereby obtaining super-resolution (1.98 μ m) biomechanical image; in addition, the embodiments of the present application can achieve non-contact measurement, and the mechanical properties of the soft tissue itself will not be changed during measurement. Moreover, the embodiments of the present application can measure the longitudinal modulus of the soft tissue instead of the shear modulus, thereby reflecting the various mechanical properties of the biological tissue.

[0073] Optionally, in one embodiment of the present application, based on the position control signal, the target sample to be tested is scanned to obtain propagation information of low-frequency shear waves or ultrasonic waves, and the pixel-level biomechanical properties of the target sample to be tested are reconstructed according to the propagation information and a preset near-field full-wave inversion algorithm, including: adjusting the scanning direction of the galvanometer by the position control signal to generate a scanning waveform corresponding to the position control signal, and determining the X-direction galvanometer position and the Y-direction galvanometer position corresponding to the position control signal according to the scanning waveform, and controlling the galvanometer to scan the target sample to be tested based on the X-direction galvanometer position and the Y-direction galvanometer position to obtain the propagation information corresponding to the low-frequency shear wave or ultrasonic wave; performing phase analysis on the propagation information to detect the corresponding full-field shear wave, and performing a full-wave inversion operation on the full-field shear wave based on the preset reverberation shear wave strategy or SWENet deep neural network model to obtain the corresponding shear modulus and Young's modulus, and reconstructing the pixel-level biomechanical properties of the target sample to be tested.

[0074] During the specific implementation process, the embodiments of the present application can adjust the scanning direction of the galvanometer through a position control signal to generate a scanning waveform corresponding to the position control signal, so as to determine the X-direction galvanometer position and the Y-direction galvanometer position corresponding to the position control signal, thereby controlling the galvanometer to scan the target sample to be tested to obtain the propagation information corresponding to the low-frequency shear wave or ultrasonic wave; secondly, the embodiments of the present application store signal data such as the propagation information of the current sample and perform phase analysis to detect full-field shear waves, and then derive the shear modulus and Young's modulus through full-wave inversion, and reconstruct the pixel-level biomechanical properties of the sample to be tested.

[0075] In actual implementation, the inversion algorithm in the embodiment of the present application can be implemented by two strategies: the reverberation shear wave method and the machine learning method, as described below:

[0076] 1. Reverberation shear wave method:

[0077] The reverberant shear wave method combines OCT with a reverberating shear wave field generated by 1 kHz quasi-harmonic stimulation. Multiple mechanical actuators induce random fluctuations, which interfere with each other to form a reverberant shear wave field. The interference data is processed using fast Fourier transforms to extract the axial particle velocity. The local reverberant field is then autocorrelated, and the autocorrelation function is fitted using a theoretical solution to obtain the local wavelength, from which the shear modulus is calculated.

[0078] Therefore, the reverberant shear wave technology in the embodiment of the present application can provide high-resolution three-dimensional elastic imaging with high resolution and high sensitivity, and can accurately observe the biomechanical properties of tiny tissues such as embryos and organoids, which is of great significance for understanding developmental diseases and exploring treatment methods.

[0079] 2. Machine Learning Methods

[0080] The embodiment of the present application can also use the deep neural network model SWENet based on physical information neural network for shear wave elastography (SWE) image reconstruction, encoding the control equation of the physical problem as part of the neural network method, thereby solving the full-wave inversion problem.

[0081] like Figure 9 As shown, the SWENet neural network is a fully connected feedforward neural network with the tanh function as the activation function. The weights and biases of the network are optimized by the back propagation algorithm. The neural network 1 (NN1) takes the spatial coordinates and time as inputs. The function of the wave and Lagrange multipliers as output; Neural Network 2 (NN2) takes the spatial coordinates as input, the shear modulus As output, the two neural networks have slightly different numbers of hidden layers and neurons; the loss function consists of a data-driven part and a physical information part, and the weights of the two parts are controlled by hyperparameters. Among them, the data-driven part uses the difference between experimental data and simulated data as the loss function; the physical information part is derived based on the wave equation, boundary conditions, constitutive equations, etc. of elastic waves. These equations and conditions together constitute the mathematical description of the physical system and are introduced into the training process of the neural network in the form of a loss function; when the number of iterations or the loss function converges to a certain extent, the training will stop.

[0082] It can be understood that the embodiments of the present application include fluctuating spatial and temporal characteristics in the training of machine learning algorithms. Multi-source data can be easily integrated with machine learning algorithms, which can greatly improve the performance in detecting small inclusions and provide a more accurate assessment of the spatial distribution of tissue mechanical properties.

[0083] Therefore, the embodiments of the present application can utilize SWENet to encode the physical properties of elastic waves into a neural network. Compared with other full-wave inversion algorithms (such as the Time of Flight algorithm), the machine learning method can identify more features in the wave propagation process. Through these features, inclusions as small as submillimeter scale inside biological tissues can be better identified, thereby more accurately evaluating the biological characteristics and mechanical properties of the tissue.

[0084] According to the microscopic optical coherence elastic imaging method proposed in the embodiment of the present application, an acquisition trigger signal is generated by utilizing a preset multifunctional I / O device, and a vibration control signal and a position control signal are output simultaneously; a preset line scan camera is triggered by the acquisition trigger signal to acquire a line scan image corresponding to the target sample to be tested, and based on the line scan image, the position of the target sample to be tested in the preset sample stage is adjusted so that the target sample to be tested is placed at the target test position; the vibration control signal is used to control the vibration of a preset bending actuator or ultrasonic transducer in the target excitation system to excite a low-frequency shear wave or ultrasonic wave in the target sample to be tested at the target test position; based on the position control signal, the target sample to be tested is scanned to obtain propagation information of the low-frequency shear wave or ultrasonic wave, and the pixel-level biomechanical properties of the target sample to be tested are reconstructed according to the propagation information and the preset near-field full-wave inversion algorithm. The present application can realize non-contact measurement, does not change the mechanical properties of the soft tissue itself during measurement, can observe the microstructure of deeper tissues, and has a fast imaging speed, thereby improving the detection performance of small inclusions.

[0085] Next, a microscopic optical coherence elastic imaging system according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0086] Figure 10 4 is a block diagram of a microscopic optical coherence elastic imaging system according to an embodiment of the present application.

[0087] like Figure 10 As shown, the microscopic optical coherence elastic imaging system 10 includes: a multifunctional I / O device 100 , a real-time image display module 200 , a sample excitation module 300 and a reconstruction module 400 .

[0088] The multifunctional I / O device 100 is used to generate an acquisition trigger signal and output a vibration control signal and a position control signal simultaneously.

[0089] The real-time image display module 200 is used to trigger a preset line scan camera by acquiring a trigger signal to acquire a line scan image corresponding to the target sample to be tested, and based on the line scan image, adjust the position of the target sample to be tested in the preset sample stage so that the target sample to be tested is placed in the target test position.

[0090] The sample excitation module 300 is used to control the vibration of a preset bending actuator or ultrasonic transducer in the target excitation system using a vibration control signal, so as to excite low-frequency shear waves or ultrasonic waves in the target sample to be tested at the target test position.

[0091] The reconstruction module 400 is used to scan the target sample to be tested based on the position control signal to obtain the propagation information of low-frequency shear waves or ultrasonic waves, and reconstruct the pixel-level biomechanical properties of the target sample to be tested based on the propagation information and a preset near-field full-wave inversion algorithm.

[0092] It should be understood by those skilled in the art that the microstructure and biomechanical properties of biological tissues are closely related to the growth, development, and pathological processes of biological tissues. Therefore, the embodiments of the present application can be based on micro optical coherence tomography (micro optical coherence tomography, μ OCT) to construct microoptical coherence elastography (microoptical coherence elastography, μ OCE) system to characterize the microscopic imaging and biomechanical properties of biological soft tissues such as organoids and embryos, which can then assist in drug screening and egg quality evaluation in in vitro fertilization (IVF).

[0093] It should be noted that the microscopic optical coherence elastic imaging system of the embodiment of the present application mainly includes μ OCT system, excitation system and μ OCE image reconstruction algorithm. μ For OCT system, its axial resolution is about 1.98 μ m, lateral resolution about 2.1 μ m; The low-frequency wave excitation system based on bending actuators and the liquid ultrasonic excitation system based on ultrasonic transducers can excite low-frequency shear waves and ultrasonic waves in microscale animal tissues such as organoids and nematodes and in liquid samples.

[0094] Specifically, the main parts of the microscopic optical coherence elastic imaging system include a superradiant light source, a reference arm, a sample arm, a spectrometer, a line scan camera and workstation, a frame grabber, a multifunctional I / O device 100 (PCIE-6323, NI), a real-time image display module 200, a sample excitation module 300 and a reconstruction module 400, and the optical components are connected by a 2*2 fiber coupler, such as Figure 11 shown.

[0095] The reference arm consists of a collimator, a polarization controller, a doublet lens, a dispersion compensation pair, and a plane mirror. The plane mirror is mounted on a translation stage (Thorlabs) to control the optical path difference and sensitivity roll-off; a slit is used to control the signal attenuation. The sample arm consists of a collimator, a polarization controller, a scanning galvanometer, an objective lens, and a two-dimensional translation platform (which can carry and adjust the sample position to the optimal imaging position).

[0096] The light source used is a superluminescent diode (SLD), which emits light through the recombination of electrons and holes, utilizing a combination of spontaneous and stimulated emission to produce broad-spectrum, high-brightness light. Compared to supercontinuum sources, SLDs offer lower costs, longer lifespan, simpler structure, more stable output, and safer operation, without requiring a strict optical seal. Supercontinuum sources, however, can cause burns to tissues such as the eyes and skin. The SLD used in the microscopic optical coherence elastography system uses a cBLMD-T-850-HP-I, SUPERLUM light source with a central wavelength of 850 nm, an output power of 10 mW, and a spectral width of 165 nm.

[0097] In an embodiment of the present application, a laser light source can be connected to a 50:50 fiber coupler of Thorlabs to divide the light beam of the light source into a sample arm and a reference arm. After passing through the fiber coupler, the laser enters the collimation parts of the sample arm and the reference arm respectively. The model of the collimating mirror is a double-cemented lens AC-254-030-B. The optical fiber is connected and fixed on a four-dimensional mirror frame of the coaxial system. The collimation part consists of a mirror frame with a double-cemented lens and a four-dimensional adjustable mirror frame with the end of the fiber coupler fixed. The mirror frames are all connected to a coaxial system with adjustable distance. The function of the collimation system is realized by adjusting the four-dimensional mirror frame so that the distance between the end of the optical fiber and the double-cemented lens is equal to the focal length of the double-cemented lens, so that the light passing through the sample arm and the reference arm is parallel light.

[0098] The objective lens can use an AC-127-019-B doublet (f=19mm), or alternatively, an achromatic doublet of the same type with 30mm and 50mm focal lengths. In the sample arm, collimated parallel light passes through the galvanometer and sample. The reflected light from the sample arm interferes with the light reflected from the plane mirror in the reference arm at the coupler, and the resulting interference enters the spectrometer.

[0099] Optionally, in one embodiment of the present application, the real-time image display module 200 includes: a line scan camera for acquiring a line scan image corresponding to the target sample to be tested, and performing background noise removal and dispersion correction addition operations on the line scan image to obtain a corresponding interference signal, and performing Fourier transform on the interference signal to generate a corresponding A-line graph, and calibrating the position of the target sample to be tested based on the interference signal and the A-line graph so that the target sample to be tested is placed at the target test position of the sample stage.

[0100] It should be noted that the spectrometer in the embodiment of the present application mainly includes a collimating mirror, a plane reflector, a grating, a real-time image display module 200 (including a line scan camera) and a lens group composed of multiple lenses.

[0101] The grating uses a Wasatch volume phase holographic grating. The wavelength range of the spectrometer is roughly the same as that of the light source. The line scan camera used in the spectrometer has a maximum rate of 130kA-scan / s and a maximum bit depth of 12 bits. A 10-bit depth of field is actually used to ensure dual-channel (2-taps mode) transmission. The line scan camera has 2048 pixels, 10 microns wide by 200 microns high. The interface connecting the line scan camera to the host computer is camera-link. The collected data is transmitted using a transmission cable between the line scan camera and the frame grabber. After averaging, background subtraction, dispersion correction, and Fourier transformation, each line scan frame forms an A-line diagram, which is used to calibrate the position of the test sample, ensuring that the test sample is placed at the target test position on the sample stage.

[0102] Optionally, in one embodiment of the present application, the sample excitation module 300 includes: a shear wave excitation unit and an underwater excitation unit.

[0103] Among them, the shear wave excitation unit is used to generate a corresponding shear wave waveform signal through a vibration control signal when the target excitation system is a shear wave excitation system, and send the shear wave waveform signal to a multi-function I / O device to generate a corresponding excitation signal, and send the excitation signal to a preset power amplifier to generate a corresponding waveform amplification signal, and drive the bending actuator through the waveform amplification signal to excite the low-frequency shear wave corresponding to the target sample to be tested.

[0104] An underwater excitation unit is used to set the target test position of the target sample to be tested to the focus of the preset sample arm and ultrasonic transducer when the target excitation system is an underwater excitation system, and based on the vibration control signal, make the ultrasonic transducer perform high-frequency mechanical vibration to excite ultrasonic waves corresponding to the target sample to be tested, or, based on the ultrasonic transducer and a preset acoustic metasurface, generate a needle-shaped Airy beam to excite ultrasonic waves corresponding to the target sample to be tested through the needle-shaped Airy beam.

[0105] In the embodiment of the present application, the main components of the sample excitation module 300 include a piezoelectric bimorph bending actuator, a linear power supply, a power amplifier, a PZT driver, and a transparent vibrating plate.

[0106] In the specific implementation process, when the target excitation system is a shear wave excitation system, the embodiment of the present application can generate a corresponding shear wave waveform signal through a vibration control signal, and send the shear wave waveform signal to a multi-function I / O device or a PZT driver, which is powered by a 30V linear power supply to generate a corresponding excitation signal, and send the excitation signal to a power amplifier to generate a corresponding waveform amplification signal, and drive the bending actuator through the waveform amplification signal to excite the low-frequency shear wave corresponding to the sample to be tested.

[0107] When the target excitation system is an underwater excitation system, the target test position of the sample to be tested is set to the focus of the sample arm and the ultrasonic transducer, and based on the vibration control signal, the ultrasonic transducer performs high-frequency mechanical vibration to excite the ultrasonic wave corresponding to the sample to be tested.

[0108] It should be noted that, in the actual implementation process, those skilled in the art may also use light sheet microscopy, fluorescence microscopy and other methods to replace the method used in the embodiment of the present application according to the actual situation. μ OCT is used for the measurement of low-frequency shear waves and ultrasound.

[0109] It is understood that the microscopic optical coherence elastic imaging system of the embodiment of the present application has an axial resolution of about 1.98 μ m, lateral resolution about 2.1 μ m, can observe more microscopic changes at the cellular scale, and the use of low-frequency waves in solid samples increases the penetration depth, making it possible to observe the microstructure of deeper tissues.

[0110] Optionally, in one embodiment of the present application, the reconstruction module 400 includes: a galvanometer and a full-wave inversion unit.

[0111] Among them, the galvanometer is used to adjust the scanning direction through the position control signal to determine the X-direction galvanometer position and the Y-direction galvanometer position corresponding to the position control signal, so as to scan the target sample to be tested based on the X-direction galvanometer position and the Y-direction galvanometer position to obtain the propagation information corresponding to the low-frequency shear wave or ultrasonic wave.

[0112] The full-wave inversion unit is used to perform phase analysis on the propagation information to detect the corresponding full-field shear wave, and based on the preset reverberation shear wave strategy or SWENet deep neural network model, perform full-wave inversion operation on the full-field shear wave to obtain the corresponding shear modulus and Young's modulus, and reconstruct the pixel-level biomechanical properties of the target sample to be tested.

[0113] It should be noted that the embodiments of the present application can use the galvanometer to adjust the scanning direction through the position control signal to generate a corresponding scanning waveform, determine the X-direction galvanometer position and the Y-direction galvanometer position corresponding to the position control signal, so as to scan the target sample to be tested, thereby obtaining the propagation information corresponding to the low-frequency shear wave or ultrasonic wave; then, the embodiments of the present application can perform phase analysis on the propagation information through the full-wave inversion unit to detect the full-field shear wave, and then obtain the mechanical properties of the biological tissue through full-wave inversion.

[0114] It should be noted that the above explanations of the embodiment of the microscopic optical coherence elastic imaging method are also applicable to the microscopic optical coherence elastic imaging system of this embodiment, and will not be repeated here.

[0115] The microscopic optical coherence elastic imaging system proposed in an embodiment of the present application includes a multifunctional I / O device 100, which is used to generate an acquisition trigger signal and simultaneously output a vibration control signal and a position control signal; a real-time image display module 200, which is used to trigger a preset line scan camera through the acquisition trigger signal to acquire a line scan image corresponding to the target sample to be tested, and based on the line scan image, adjust the position of the target sample to be tested in the preset sample stage so that the target sample to be tested is placed at the target test position; a sample excitation module 300, which is used to use a vibration control signal to control the vibration of a preset bending actuator or ultrasonic transducer in the target excitation system to excite low-frequency shear waves or ultrasonic waves in the target sample to be tested at the target test position; a reconstruction module 400, which is used to scan the target sample to be tested based on the position control signal to obtain propagation information of the low-frequency shear wave or ultrasonic wave, and reconstruct the pixel-level biomechanical properties of the target sample to be tested based on the propagation information and a preset near-field full-wave inversion algorithm. The present application can realize non-contact measurement, does not change the mechanical properties of the soft tissue itself during measurement, can observe the microstructure of deeper tissues, and has a fast imaging speed, thereby improving the detection performance of small inclusions.

[0116] Figure 12 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0117] A memory 1201 , a processor 1202 , and a computer program stored in the memory 1201 and executable on the processor 1202 .

[0118] When the processor 1202 executes the program, the microscopic optical coherence elastic imaging method provided in the above embodiment is implemented.

[0119] Furthermore, the electronic device further includes:

[0120] The communication interface 1203 is used for communication between the memory 1201 and the processor 1202 .

[0121] The memory 1201 is used to store computer programs that can be run on the processor 1202 .

[0122] The memory 1201 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0123] If the memory 1201, processor 1202, and communication interface 1203 are implemented independently, the communication interface 1203, memory 1201, and processor 1202 can be interconnected via a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. Buses can be divided into address buses, data buses, control buses, etc. For ease of representation, Figure 12 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0124] Optionally, in a specific implementation, if the memory 1201, the processor 1202 and the communication interface 1203 are integrated on a chip, the memory 1201, the processor 1202 and the communication interface 1203 can communicate with each other through an internal interface.

[0125] The processor 1202 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0126] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0127] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of this application, "N" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0128] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing a custom logical function or process step, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed in a different order than shown or discussed, including performing functions in a substantially simultaneous manner or in a reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application pertain.

Claims

1. A microscopic optical coherence elastic imaging method, characterized in that: The following steps are involved: Use the preset multi-function I / O device to generate acquisition trigger signals and output vibration control signals and position control signals at the same time; Triggering a preset line scan camera through the acquisition trigger signal to acquire a line scan image corresponding to the target sample to be tested, and adjusting the position of the target sample to be tested in a preset sample stage based on the line scan image so that the target sample to be tested is placed in a target test position; Using the vibration control signal to control the vibration of a preset bending actuator or ultrasonic transducer in the target excitation system to excite low-frequency shear waves or ultrasonic waves in the target sample to be tested at the target test position; Based on the position control signal, the target sample to be tested is scanned to obtain the propagation information of the low-frequency shear wave or the ultrasonic wave, and the pixel-level biomechanical properties of the target sample to be tested are reconstructed according to the propagation information and a preset near-field full-wave inversion algorithm.

2. The microscopic optical coherence elastic imaging method according to claim 1, characterized in that: The method of using a preset multifunctional I / O device to generate an acquisition trigger signal and simultaneously output a vibration control signal and a position control signal includes: Determining a target scanning mode and scanning information corresponding to a preset galvanometer, wherein the target scanning mode includes a B mode or an MB mode, and the scanning information includes a scanning length and an offset; Based on the target scanning mode and the scanning information, the multifunctional I / O device outputs an X-channel signal and a Y-channel signal, and uses the X-channel signal and the Y-channel signal as the position control signal; Utilizing the multifunctional I / O device to output a Z-channel waveform, and generating the vibration control signal through the Z-channel waveform; Controlling the multifunctional I / O device to generate an acquisition trigger signal that meets a preset frequency requirement through a preset software programming strategy; Detect whether there is liquid in the target sample to be tested. When there is liquid in the target sample to be tested, select the preset underwater excitation system as the target excitation system. When there is no liquid in the target sample to be tested, select the preset shear wave excitation system as the target excitation system.

3. The microscopic optical coherence elastic imaging method according to claim 1, characterized in that: The method includes triggering a preset line scan camera by the acquisition trigger signal to acquire a line scan image corresponding to a target sample to be tested, and adjusting a position of the target sample to be tested in a preset sample stage based on the line scan image so that the target sample to be tested is placed in a target test position, including: Fixing the target sample to be tested on the sample stage, and setting the trigger mode, line acquisition interval, exposure time and data transmission method corresponding to the line scan camera; Based on the trigger mode and the acquisition trigger signal, trigger the line scan camera to acquire a line scan image corresponding to the target sample according to the inter-line acquisition interval, the exposure time and the data transmission method; performing background noise removal and dispersion correction addition operations on the line scan image to obtain a corresponding interference signal, and performing Fourier transform on the interference signal to generate a corresponding A-line graph; The position of the target sample to be tested is calibrated according to the interference signal and the A-line diagram, so that the target sample to be tested is placed at a target test position of the sample stage.

4. The microscopic optical coherence elastic imaging method according to claim 2, characterized in that: The method of using the vibration control signal to control the vibration of a preset bending actuator or ultrasonic transducer in the target excitation system to excite low-frequency shear waves or ultrasonic waves in the target sample to be tested at the target test position includes: When the target excitation system is the shear wave excitation system, a corresponding shear wave waveform signal is generated by the vibration control signal, and the shear wave waveform signal is sent to the multifunctional I / O device to generate a corresponding excitation signal, and the excitation signal is sent to a preset power amplifier to generate a corresponding waveform amplification signal, and the bending actuator is driven by the waveform amplification signal to excite a low-frequency shear wave corresponding to the target sample to be tested; When the target excitation system is the underwater excitation system, the ultrasonic transducer is controlled to perform high-frequency mechanical vibration through the vibration control signal to excite ultrasonic waves corresponding to the target sample to be tested, or, based on the ultrasonic transducer and a preset acoustic metasurface, a needle-shaped Airy beam is generated to excite ultrasonic waves corresponding to the target sample to be tested through the needle-shaped Airy beam.

5. The microscopic optical coherence elastic imaging method according to claim 4, characterized in that: The method of scanning the target sample to be tested based on the position control signal to obtain propagation information of the low-frequency shear wave or the ultrasonic wave, and reconstructing the pixel-level biomechanical properties of the target sample to be tested according to the propagation information and a preset near-field full-wave inversion algorithm, includes: Adjusting the scanning direction of the galvanometer mirror by the position control signal to generate a scanning waveform corresponding to the position control signal, and determining the X-direction galvanometer mirror position and the Y-direction galvanometer mirror position corresponding to the position control signal according to the scanning waveform, and controlling the galvanometer mirror to scan the target sample to be tested based on the X-direction galvanometer mirror position and the Y-direction galvanometer mirror position to obtain propagation information corresponding to the low-frequency shear wave or the ultrasonic wave; Phase analysis is performed on the propagation information to detect the corresponding full-field shear wave, and based on the preset reverberation shear wave strategy or SWENet deep neural network model, a full-wave inversion operation is performed on the full-field shear wave to obtain the corresponding shear modulus and Young's modulus, and reconstruct the pixel-level biomechanical properties of the target sample to be tested.

6. A microscopic optical coherence elastic imaging system, characterized in that: include: Multifunctional I / O device, used to generate acquisition trigger signals and simultaneously output vibration control signals and position control signals; A real-time image display module is configured to trigger a preset line scan camera through the acquisition trigger signal to acquire a line scan image corresponding to the target sample to be tested, and adjust the position of the target sample to be tested in a preset sample stage based on the line scan image so that the target sample to be tested is placed in a target test position; a sample excitation module, configured to control the vibration of a preset bending actuator or ultrasonic transducer in a target excitation system using the vibration control signal, so as to excite low-frequency shear waves or ultrasonic waves in a target sample to be tested at the target test position; A reconstruction module is used to scan the target sample to be tested based on the position control signal to obtain the propagation information of the low-frequency shear wave or the ultrasonic wave, and reconstruct the pixel-level biomechanical properties of the target sample to be tested according to the propagation information and a preset near-field full-wave inversion algorithm.

7. The microscopic optical coherence elastic imaging system according to claim 6, characterized in that: The real-time image display module includes: The line scan camera is used to collect a line scan image corresponding to the target sample to be tested, and perform background noise removal and dispersion correction addition operations on the line scan image to obtain a corresponding interference signal, and perform Fourier transform on the interference signal to generate a corresponding A-line diagram, and calibrate the position of the target sample to be tested based on the interference signal and the A-line diagram so that the target sample to be tested is placed at the target test position of the sample stage.

8. The microscopic optical coherence elastic imaging system according to claim 6, characterized in that: The sample excitation module includes: A shear wave excitation unit is used to generate a corresponding shear wave waveform signal through the vibration control signal when the target excitation system is a preset shear wave excitation system, and send the shear wave waveform signal to the multifunctional I / O device to generate a corresponding excitation signal, and send the excitation signal to a preset power amplifier to generate a corresponding waveform amplification signal, and drive the bending actuator through the waveform amplification signal to excite the low-frequency shear wave corresponding to the target sample to be tested; An underwater excitation unit is used to set the target test position of the target sample to be tested to the preset sample arm and the focus of the ultrasonic transducer when the target excitation system is a preset underwater excitation system, and based on the vibration control signal, make the ultrasonic transducer perform high-frequency mechanical vibration to excite the ultrasonic wave corresponding to the target sample to be tested, or, based on the ultrasonic transducer and a preset acoustic metasurface, generate a needle-shaped Airy beam to excite the ultrasonic wave corresponding to the target sample to be tested through the needle-shaped Airy beam.

9. The microscopic optical coherence elastic imaging system according to claim 6, characterized in that: The reconstruction module includes: a galvanometer, configured to adjust a scanning direction according to the position control signal to generate a scanning waveform corresponding to the position control signal, and determine an X-direction galvanometer position and a Y-direction galvanometer position corresponding to the position control signal according to the scanning waveform, so as to scan the target sample to be tested based on the X-direction galvanometer position and the Y-direction galvanometer position to obtain propagation information corresponding to the low-frequency shear wave or the ultrasonic wave; A full-wave inversion unit is used to perform phase analysis on the propagation information to detect the corresponding full-field shear wave, and based on a preset reverberation shear wave strategy or SWENet deep neural network model, perform a full-wave inversion operation on the full-field shear wave to obtain the corresponding shear modulus and Young's modulus, and reconstruct the pixel-level biomechanical properties of the target sample to be tested.

10. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the microscopic optical coherence elasticity imaging method according to any one of claims 1 to 5.

Images