340 results about "Real time imaging" patented technology

The invention relates to the technical field of PCB detection, and discloses a PCB defect detection method and system, and the method comprises the steps: collecting multispectral imaging data through an image collection module, and generating an original image data set; the defect analysis server receives the synchronous imaging data to construct a three-dimensional surface topology matrix; in combination with the original image data set and the real-time imaging data, performing multi-scale decomposition on the three-dimensional surface topological matrix, extracting texture features, positioning a defect region, outputting defect type space distribution features through a layered recognition model, and updating the original image data set; and dynamically calibrating the detection parameters according to the feature categories. The system comprises an image acquisition module group, a data transmission module, a three-dimensional modeling module, a defect identification module and a parameter calibration module. According to the scheme, the accuracy, comprehensiveness and efficiency of defect detection are improved, and the detection requirements of modern PCB production are met.

The invention relates to the field of ulcerative colitis, and discloses a multi-parameter monitoring system for evaluating the intestinal barrier function of ulcerative colitis, which is used for realizing the goal of automatically adjusting a treatment scheme according to a monitoring result by constructing a closed-loop feedback treatment system. According to the invention, by designing the nanoprobe of which the surface is modified with a specific binding element and combining with a swallowing capsule endoscopy, real-time imaging and molecular level dynamic tracking of the intestinal barrier are realized, genetically engineered bacteria are constructed to quantify intestinal permeability abnormality and local inflammation level, and an intestinal barrier function damage score and a disease progress prediction result are output; individual monitoring is achieved through transfer learning, ultrasonic elastography, optical coherence tomography, wearable equipment for measuring intestinal electric field impedance spectroscopy and other technologies are adopted, an intestinal wall mechanics-electrophysiology composite parameter set is obtained, and the evaluation accuracy is improved.

According to the spectrum-to-mass concentration imaging method and device based on physical mechanism deep learning provided by the invention, the actually measured spectrum and the reference spectrum of the pollution gas smoke plume are collected, the spectrum data set is constructed after differential processing, the meteorological data and the online mass concentration label are synchronously collected, and meanwhile, the spectrum-to-mass concentration imaging method and device based on physical mechanism deep learning are provided. A high-resolution gas absorption section is obtained and is convolved into a matrix; and constructing a deep learning model fusing a feature extraction module, an expanded least square module and a full connection module, taking the spectral data set, the meteorological data and the absorption cross section matrix as input, performing training in combination with labels to obtain an optimization model, and predicting the mass concentration of the target gas. According to the method, the problems of error accumulation, low calculation efficiency and poor interpretability caused by dependence on a complex physical model in a traditional method are solved, and high-precision, high-efficiency and interpretable real-time imaging of the mass concentration of the smoke plume of the pollution gas is realized.

The invention discloses a matrix transposition method of a DDR3 read-write controller based on an AXI4 bus. The matrix transposition method solves the problems that an existing transposition method is low in data access efficiency, serious in storage resource waste and poor in system portability. The method comprises the following steps: dividing an original echo matrix into a plurality of sub-matrix blocks, mapping and storing the sub-matrix blocks into a Bank of DDR3 to obtain a three-dimensional mapping result; reading data in each sub-matrix block in the three-dimensional mapping result by utilizing a DDR3 read control module, and writing the read data into an RAM (Random Access Memory) of an FPGA (Field Programmable Gate Array) to obtain a transposed matrix; writing the transposed matrix into the original Bank of the DDR3 by using a DDR3 write control module to obtain the DDR3 in which the data is written; according to the invention, low on-chip storage resource occupation independent of matrix scale is realized, and high-efficiency processing requirements of large-scale echo data in satellite-borne SAR real-time imaging processing are better met.

The invention belongs to the technical field of medical treatment, and discloses a radiotherapy protection system for reducing normal tissue damage, and the system comprises a real-time imaging and monitoring module which employs high-speed CT or MRI equipment to obtain 4D images of a target region and surrounding tissues of a patient in real time in a treatment process; the dynamic protection dose distribution module is used for dynamically calculating dose distribution of each radiation according to the real-time imaging data, optimizing an irradiation path and reducing the stress of normal tissues; the intelligent feedback control module is used for detecting the accumulated dose of a target region and normal tissues in real time and dynamically adjusting an irradiation strategy; inputting the real-time image and the dose monitoring data into a treatment planning system, and updating an irradiation plan; the user interaction module provides a radiotherapy real-time display interface; patient physiological data is monitored in real time. According to the invention, through dynamic real-time monitoring, dose distribution optimization and intelligent feedback control, the limitation of the traditional radiotherapy technology on real-time performance and protection effect is broken through. The system significantly reduces damage to normal tissues, improves treatment precision and patient experience, and has wide clinical application value.

The invention relates to the technical field of bionic navigation orientation and positioning, in particular to a carrier course angle measuring method based on polarized light imaging in a non-Rayleigh atmosphere. Comprising the steps of real-time sky polarized light imaging, atmospheric polarization mode resolving based on Mueller matrix imaging, non-Rayleigh polarization information interference removal, polarization orientation resolving based on Rayleigh scattering, space projection conversion and sun position information resolving. Alignment information of the sun in a carrier coordinate system is obtained by utilizing a Rayleigh scattering model and actual sky polarization imaging, and then a carrier course angle is obtained according to the orientation of the sun in a local geographic coordinate system, so that an orientation function is realized; meanwhile, the error influence caused by image registration and time-sharing rotation measurement of the multi-view-field polarization detector and the interference of environmental factors on a single point are avoided, the method can adapt to sunny and cloudy weather, is also applicable to cloudy and other non-Rayleigh weather, and is wide in application range.

Exemplary system, method and computer-accessible medium for selecting at least one location of (i) at least one receiver or transceiver or (ii) at least one transmitter or transceiver can be provided. For example, it is possible to facilitate a receipt, from the at least one transmitter or transceiver, of a plurality of signals by the receiver(s) or transceiver(s). Each of the signals has a multipath component. Then, it is possible to determine time of flight (ToF) information and angle of arrival (AoA) information of the multipath components present in the signals. Further, it is possible to determine one or more possible locations of (i) the receiver(s) or transceiver(s) or (ii) the transmitter(s) or transceiver(s) based on the ToF information, the AoA information, and a model of physical surroundings. The location(s) of (i) the receiver(s) or transceiver(s), or (ii) the transmitter(s) or transceiver(s) can be selected based on the one or more possible locations and an extended Kalman filter (“EKF”).

The invention discloses a noise speckle real-time imaging method suitable for various complex scenes, and the method comprises the steps: firstly obtaining a speckle image of a sample target after a scattering medium through a camera, and carrying out the preprocessing of the speckle image; secondly, the principal component of the preprocessed speckle image is extracted by using VMD based on a row-column separation strategy; and then noise of the principal component is extracted through a main singular value, and an enhanced speckle image is obtained through differential operation with the speckle image. And finally, autocorrelation operation is carried out on the enhanced speckle image, the amplitude of a target is obtained through AM algorithm optimization, and speckle image reconstruction is realized by using a phase recovery algorithm. The method has better robustness and structure retention capability in an edge region and a high-noise scene, can overcome the influence of a strong light interference environment, and remarkably improves the local contrast of a speckle image.

The invention discloses a multimode optical fiber anti-disturbance real-time imaging method based on a double-neural network architecture, which comprises the following steps: firstly, acquiring a speckle image of a target image subjected to multimode optical fiber scattering transmission under a multi-disturbance dynamic state, then extracting spatial domain and frequency domain information of the speckle image, and training through an SFNet classification network to obtain a disturbance dynamic state classification model; and training by using a U-Net imaging network to obtain a speckle imaging model. During testing, the multimode optical fiber disturbance state corresponding to the speckle image is judged by using the classification model, and then the speckle image is input into the speckle imaging model under the corresponding multimode optical fiber disturbance state for reconstruction. According to the method, accurate classification and high-quality reconstruction of the speckle image of the multimode optical fiber under the multi-disturbance condition are achieved, good real-time performance and anti-interference performance are achieved, and the method is suitable for dynamic optical fiber imaging in the complex environment.

The invention discloses a micro-positive pressure hydrogen environment in-situ stress-strain testing device and method. The device comprises a sealed reaction cavity which can be placed in a scanning electron microscope sample cabin; the loading device is arranged in the cavity and is used for fixing and applying a load; the atmosphere control system is communicated with the cavity and is used for introducing gas and maintaining a micro-positive pressure state; an electron transmission window arranged on the cavity, wherein an electronic transparent film packaged by the electron transmission window can maintain air tightness under micro-positive pressure and allows electron beams to penetrate through; and the heating module is arranged in the cavity. The method comprises the following steps: loading and sealing a sample, establishing a micro-positive pressure atmosphere, heating the sample, starting loading, and synchronously carrying out SEM real-time imaging and data recording. The problem that a traditional SEM in-situ device cannot work in a real micro-positive pressure hydrogen and high-temperature environment is solved, and synchronous visual in-situ observation of material microstructure evolution and macromechanical response under the gas-heat-force multi-physics field coupling condition is achieved.

The invention belongs to the technical field of induced polarization advanced detection. According to the TBM excavation-following induced polarization real-time advanced detection method and system, a TBM cutterhead and a TBM shield serve as power supply electrodes, and the detection efficiency and the TBM excavation efficiency are improved; acquiring first detection data when the TBM cutterhead clings to the tunnel face and the TBM cutterhead and the TBM shield supply power at the same time and second detection data when the TBM cutterhead leaves the tunnel face after retreating, the TBM cutterhead is not in contact with the surrounding rock and the TBM shield supply power independently, and taking a difference value between the first detection data and the second detection data as final detection data of the current detection round, and performing three-dimensional imaging processing on the final detection data of the plurality of detection rounds in any imaging period to obtain a continuous three-dimensional detection result in the imaging period. According to the TBM tunnel detection method, the difference of the detection data is made for denoising processing after tunneling of each round, real-time imaging is achieved in the imaging process, and the TBM tunnel detection effect is improved.

The invention relates to the technical field of optical imaging, and discloses an optical lens splicing imaging method and system, and the system comprises a calibration module, a preprocessing module, a registration module, a correction module, and a fusion module. Through the arrangement of the registration module, the correction module and the fusion module, the problem of registration errors caused by sparse feature points of a low-texture region can be solved through a mixed strategy of global mutual information guidance and local robust matching, the registration precision is effectively improved, the optical aberration of each sub-lens is compensated through a global model based on a Zernike polynomial, and the registration precision is improved. The image quality of the marginal area of the spliced image is effectively improved, a multi-resolution pyramid optimization mode is adopted, the calculation complexity of global registration is reduced, the real-time imaging requirement is met, meanwhile, splicing seams are effectively eliminated, and the overall smoothness of the image is remarkably improved.

The present invention relates to the field of PCB circuit board detection technology, and discloses a PCB circuit board defect detection method and system. The method comprises the following steps: an image acquisition module acquires multispectral imaging data to generate an original image dataset; a defect analysis server receives synchronized imaging data to construct a three-dimensional surface topology matrix; the original image dataset and real-time imaging data are combined to perform multi-scale decomposition of the three-dimensional surface topology matrix, extract texture features, locate defect areas, output spatial distribution features of defect types through a hierarchical recognition model, and update the original image dataset; and detection parameters are dynamically calibrated according to feature categories. The system includes an image acquisition module group, a data transmission module, a three-dimensional modeling module, a defect recognition module, and a parameter calibration module. This solution improves the accuracy, comprehensiveness, and efficiency of defect detection and is suitable for the detection needs of modern PCB production.

The present invention relates to an endoscopic probe for photoacoustic tomography of cavity side walls, characterized by comprising a hollow tubular probe housing with a closed front end; N acoustic wave receiving windows and M laser output windows formed on the side wall of the tubular probe housing; an array of linear laser output ports connected to a pluggable optical fiber connector via an optical fiber bundle; and an ultrasonic transducer array connected to a multi-channel signal connector via a signal harness. The present invention employs a method of arranging array transducers and array laser outputs on the side wall of the probe, eliminating the need for a reflector. The probe is less than 2 centimeters in size and can be placed in close proximity to the prostate through the rectum for photoacoustic imaging of the prostate, or in close proximity to the inner wall of the rectum for photoacoustic imaging of the inner wall of the rectum. The endoscopic probe provided by the present invention, combined with a photoacoustic imaging system host, utilizes photoacoustic endoscopic imaging technology to perform real-time transrectal prostate imaging and rectal imaging, achieving ideal imaging results.

The invention discloses a satellite-borne SAR (Synthetic Aperture Radar) real-time imaging method based on FPGA (Field Programmable Gate Array) high-speed transposition, which comprises the following steps of: in FPGA data writing operation, carrying out row splitting on SAR echo data in a matrix form to obtain a plurality of small matrix blocks with consistent row and column sizes, and forming a recombination matrix; writing the small matrix blocks into a memory in sequence; performing skip reading operation on the recombination matrix, and repeating the operation until the reading operation of the SAR echo data is completed; imaging is carried out based on the CS imaging algorithm, real-time output is carried out, according to the method, the transposition operation read-write efficiency of a memory is high, and the imaging real-time performance is guaranteed.

The invention discloses a gas leakage detection imaging device and method based on a single photon detection technology, and belongs to the technical field of gas detection and imaging. Aiming at the limitation problems of the existing gas leakage detection technology in the aspects of sensitivity, response speed, space imaging capability and anti-interference capability, nanosecond modulation control and synchronous photon counting are realized by utilizing an FPGA (Field Programmable Gate Array) through a visual gas detection imaging device combining an SPAD (Single Program Amplifier) array detector and a WMS modulation-demodulation mechanism; and the second harmonic of the absorption signal is further extracted by combining digital phase-locked amplification, so that gas leakage three-dimensional imaging with high spatial resolution, ppb-level sensitivity, strong background suppression capability and high time response is realized. The system has the advantages of high detection sensitivity, real-time imaging capability with high spatial resolution, high background light interference resistance and high signal-to-noise ratio, the demodulation method is novel, and the modular design has multi-gas compatibility and system expansibility.

Disclosed are methods, systems, and a device for automated interpretation of cardiac magnetic resonance imaging. A method includes acquiring a sequence of radiographic images of a heart, including at least one of: a cine MRI, a late gadolinium enhancement, a T1 mapping, a T2 mapping, a perfusion imaging, a flow quantification, a dark blood imaging, a real-time imaging, a magnetic resonance spectroscopy, or a parametric mapping sequence. Further, the method processes the sequence of radiographic images using one or more machine learning models. Additionally, the method generates a diagnostic prediction using the machine learning models. The diagnostic prediction is a screening prediction of a cardiac anatomy, a diagnostic suggestion of a cardiovascular condition, a quantitative assessment of a cardiac function parameter, a structured radiographic report, a natural language summary, or a diagnostic rationale. A diagnostic prediction is output to an electronic system.

The invention relates to the technical field of nondestructive testing of power systems, in particular to a phased array ultrasonic testing method and system for internal defects of a wall bushing. Comprising the following steps that the outer surface of a metal layer of the wall bushing is cleaned and polished; measuring the outer diameter of the wall bushing and the thickness of a metal layer; a phased array ultrasonic probe is placed on the surface of the processed metal layer in a coupling mode, and a center array element of the phased array ultrasonic probe is activated to collect A scanning signals; setting a focusing depth and a scanning angle range according to the thickness of the metal layer; and activating all array elements of the phased array ultrasonic probe, and starting a gain compensation mode of the phased array ultrasonic flaw detector. According to the method, the multi-array-element electronic scanning and real-time imaging technology is utilized, a large-area area can be covered through single-time fan-shaped scanning, early-stage defects (such as micro air gaps and cracks) which do not cause temperature rise can be sensitively recognized, the detection efficiency and the detection capacity are remarkably improved, and the problems of infrared leak detection and low radiographic detection efficiency are effectively solved.

Disclosed are methods, systems, and a device for automated interpretation of cardiac magnetic resonance imaging. A method includes acquiring a sequence of radiographic images of a heart, including at least one of: a cine MRI, a late gadolinium enhancement, a T1 mapping, a T2 mapping, a perfusion imaging, a flow quantification, a dark blood imaging, a real-time imaging, a magnetic resonance spectroscopy, or a parametric mapping sequence. Further, the method processes the sequence of radiographic images using one or more machine learning models. Additionally, the method generates a diagnostic prediction using the machine learning models. The diagnostic prediction is a screening prediction of a cardiac anatomy, a diagnostic suggestion of a cardiovascular condition, a quantitative assessment of a cardiac function parameter, a structured radiographic report, a natural language summary, or a diagnostic rationale. A diagnostic prediction is output to an electronic system.

The invention discloses an in-fluid bubble mass transfer simulation device and method based on a micro-fluidic chip. The micro-fluidic chip is installed on the micro-fluidic chip fixing module, an inlet and an outlet of the micro-fluidic chip are communicated with the gas-liquid mixed injection module and the waste liquid collecting tank respectively, the microscope is used for observing the bubble preparation process in fluid in the micro-fluidic chip, and the bubble mass transfer experiment process is subjected to real-time imaging observation by adopting the industrial camera; the method comprises the following steps: processing the micro-fluidic chip; injecting gas and liquid into the micro-fluidic chip by using a gas-liquid mixed injection module; fixing the micro-fluidic chip carrying the bubbles on a micro-fluidic chip fixing module; and observing the redistribution evolution process of the bubbles in the micro-fluidic chip influenced by the unstable gravity to obtain the curing mass transfer rule of the bubbles under the microgravity or supergravity condition. The method can reduce the residual capture state of carbon dioxide bubbles in rock pores, and has important significance for evaluating long-term safety and stability of a carbon dioxide geological sequestration project.

Systems and methods are provided for real-time multimodal deformable image registration for image-guided interventions. A pre-interventional three-dimensional (3D) magnetic resonance imaging (MRI) image and multiple 3D ultrasound (US) images capturing various respiratory states and poses are acquired for a patient. The MRI image is registered to each US image using a trained MR-US deformation model, producing deformed MRI images. During intervention, an interventional 3D US image is acquired and registered to a pre-interventional US image using a trained US-US deformation model, determining a warp field. This warp field is applied to the corresponding deformed MRI image, producing a registered 3D MRI image for visualizing annotated tissue features from the pre-interventional MRI on the live interventional US image. The disclosed approach leverages multimodal imaging and deep learning models to enhance visualization during interventions by combining superior soft tissue contrast of MRI with real-time US imaging capabilities.

The application discloses a kind of dual-frequency integrated ultrasonic diagnosis and treatment probe, including the zooming warehouse of one side opening, flexible substrate is set in zooming warehouse and has spherical arc surface, low-frequency focusing module and high-frequency imaging module are connected on flexible substrate, and with the electric connection of low-frequency focusing module and high-frequency imaging module intelligent identification system;Low-frequency focusing module is fixed in the inside of flexible substrate;Zooming warehouse center is slidably provided with focusing handle, and the end of focusing handle into zooming warehouse is connected with flexible substrate and high-frequency imaging module, and one end of focusing handle is suitable for moving in zooming warehouse along axis line.According to the detection information of high-frequency imaging module, the spherical surface curvature of flexible substrate and the relative distance between flexible substrate and tissue are adjusted by moving focusing handle, the focusing depth and focal region size of low-frequency focusing module can be adjusted, and real-time imaging can be carried out by cooperating with high-frequency imaging module, so that the ablation position can be adjusted in real time, and the lesion tissue can be accurately focused.

The embodiment of the invention provides a real-time laser speckle imaging method, device and system based on entropy guidance, and relates to the technical field of image processing. Performing contrast degree calculation on the laser speckle image of the target biological sample to obtain a first contrast degree image; performing down-sampling on the first contrast degree image according to n down-sampling rates to obtain n second contrast degree images; respectively extracting local entropies of regions in the first contrast degree image and the second contrast degree images; according to the extracted local entropy, determining regions with blood vessels in the first contrast degree image and the second contrast degree images; and performing noise reduction processing on the first contrast degree image and the second contrast degree images to obtain a plurality of noise reduction images, and fusing the noise reduction images to obtain a third contrast degree image. According to the invention, under the condition of a low sampling frame number, real-time imaging of the laser speckle image can be ensured, and meanwhile, the image quality similar to that under the condition of a high sampling frame number can be realized.

The invention relates to the technical field of image acquisition, in particular to an image acquisition device, an image acquisition method, electronic equipment and a storage medium. According to the embodiment of the invention, camera calibration parameters need to be acquired through the image acquisition calibration module, the trigger signals are generated in the multi-camera control module, and the trigger signals are respectively sent to the light field camera imaging module and the event camera imaging module; the light field camera imaging module and the event camera imaging module carry out data acquisition in the same detection time slot; in a light field camera imaging module, collecting light field data of a target scene in a detection time slot according to the trigger signal; in an event camera imaging module, event data of a target scene are collected in a detection time slot according to the trigger signal; and in the data fusion module, image acquisition fusion data is generated according to the camera calibration parameters, the light field data and the event data. Therefore, high-quality real-time imaging can be realized.

The invention relates to the technical field of cell culture, and discloses a stem cell differentiation degree identification method based on image features. The method comprises the following steps: continuously capturing multi-temporal image data in a stem cell culture process through a high-resolution microscopic imaging system, and generating an image and environment synchronous data set; processing the data set, extracting dynamic morphological features and texture change modes of the stem cells, and constructing a fusion feature set; outputting a differentiation process index based on the fusion feature set; a differentiation degree grade division rule is set, and a differentiation process index and differentiation grade mapping table is established; in a real-time application stage, acquiring real-time imaging data and environment readings, and inputting the real-time imaging data and the environment readings into an evaluation network to calculate real-time differentiation process indexes; querying the mapping table according to the real-time index to obtain a differentiation grade judgment result; comparing the judgment result with a preset target range, and if the judgment result falls into the target range, automatically executing differentiation state marking and culture parameter adjusting operation.

The invention discloses a terahertz radar real-time imaging device and method based on a dual-processor heterogeneous platform. Comprising an airborne end and a ground end, the airborne end carries out signal emission of a terahertz wave band according to an instruction of the ground end, receives an echo signal reflected by an object, carries out imaging processing by using a signal processor module, and transmits the processed signal back to the ground end. The signal processor module comprises an acquisition unit, a processing and control unit and a storage unit; and the acquisition unit performs analog-to-digital conversion on the echo signal. The processing and control unit is used for processing digital echo signals and inertial navigation data by using a dual-processor heterogeneous platform, an FPGA (Field Programmable Gate Array) is used for carrying out range pulse compression processing in a BP (Back Propagation) algorithm, and a GPU (Graphics Processing Unit) is combined with the inertial navigation data, is used for carrying out azimuth processing in the BP algorithm and is used for outputting a synthetic image. Based on a dual-processor heterogeneous platform, collaborative design of hardware acceleration and parallel computing is achieved, and the technical problems that in the prior art, the real-time data processing amount is large, and the computing power requirement is high are solved.

The invention relates to a gene editing delivery vector, a delivery system and a preparation method and application thereof. The carrier is a cell nucleus targeting polymer carrier prepared by modifying linear polyethyleneimine with phenylboronic acid. Nanoparticles and a nanometer delivery system prepared by using the vector can have ultrahigh cell nucleus targeting ability without additional traditional nuclear localization sequence (NLS) peptide modification, can perform efficient gene editing in living cells and in vivo levels, and can perform real-time imaging on target genes in a cell nucleus region, so that the target genes can be efficiently edited. And the efficiency of living cell and in-vivo gene editing and the accuracy of nucleic acid detection are remarkably improved. Meanwhile, the kit has the advantages of easiness in preparation, high gene editing efficiency, high detection sensitivity and the like.

The invention discloses a large-computing-power SAR real-time imaging and target recognition system based on an FPGA + GPU architecture, and relates to the technical field of SAR imaging and target recognition, and the system is characterized in that an SAR echo data collection module collects multiband data through a 16-bit AD / DA daughter card and an FMC interface; the preprocessing module carries out noise reduction and filtering processing based on an FPGA and fuses multi-dimensional features. The high-speed interaction module adopts a GTH interface and an ETH interface to realize FPGA-GPU data transmission; the knowledge graph module dynamically updates features and relationships; the imaging matching module generates a high-resolution image by relying on the GPU and outputs a candidate category; the reasoning optimization module outputs an accurate result and feeds back the accurate result to the knowledge graph; preprocessing and feature extraction of SAR echo data are achieved through the FPGA chip, noise reduction, filtering and range compression are carried out on original data through the parallel processing capacity of the FPGA chip, and the data processing efficiency is improved.

The invention provides a preoperative incision positioning device for spine minimally invasive surgery aiming at different fracture types, and belongs to the technical field of medical equipment. Comprising a mounting box, a notched gear ring is slidably connected into the mounting box, an adjusting mechanism used for adjusting the position of the notched gear ring is arranged in the mounting box, the two ends of the notched gear ring are fixedly connected with mounting bases respectively, and the lower end face of the mounting base on the upper side is fixedly connected with a detector; through the detector, the X-ray source and the positioning mechanism, real-time imaging of the spine of a patient is achieved, laser indication can be automatically conducted on an incision positioning point, medical staff can accurately position and mark the incision position, accurate positioning of the spine minimally invasive surgery incision is achieved, the positioning error is reduced, and the accuracy of the spine minimally invasive surgery incision is improved. The success rate and safety of the operation are improved, and the problems of poor positioning efficiency and precision in the prior art are solved.

Systems and methods for high-bandwidth, minimally invasive brain-computer interfaces (BCIs) are disclosed. The BCIs are configured for deployment and operation in conjunction with a comprehensive interventional electrophysiology procedural suite. Three primary methods of minimally invasive electrode array delivery are disclosed: (1) cortical surface delivery, (2) ventricular delivery, and (3) endovascular delivery. Additionally, systems and methods for interacting with such high-bandwidth electrode arrays are discussed, including real-time imaging, signal processing, and neural decoding. Systems and methods for architectures for accelerating the underlying computational processes (such as graphics processing units or tensor processing units) are also discussed. Multiple applications of BCIs are discussed, with emphasis on restoration, rehabilitation, and augmentation of neurologic function.