1329 results about "Biological tissue" patented technology

A robotic surgical system includes one or more robotic actuators configured to interact with biological tissue during a surgical procedure. A plurality of sensors include at least one of fiber Bragg grating sensors, piezoelectric strain sensors, or magnetostrictive sensors to capture real-time mechanical, elasticity, or deformation data from biological tissues. deep learning engine trained on a dataset comprising tissue mechanical responses across multiple tissue types, pathological states, and patient demographics. Pre-contact predictive adjustment profiles are generated for anticipated tissue interactions using preoperative imaging data registered to intraoperative coordinates. Intraoperative deviations are detected from predicted mechanical behavior and autonomously recalibrate actuator forces. Upcoming surgical maneuvers are anticipated based on prior task sequences and adjust actuator stiffness or damping properties in preparation for anticipated contact. An emergency override of actuator forces is provided via an anomaly detection module when real-time sensor data deviates beyond a threshold from the predicted safe mechanical response range. A feedback loop iteratively refines the deep learning engine during the procedure using supervised learning updates, anomaly detection, and reinforcement learning strategies. The reinforcement learning model is optionally shared across procedures to optimize distributed actuator force patterns for minimizing localized and cumulative tissue stress.

A platform for characterizing biomolecules, biological tissue sections, viruses, or other particles of interest in a non-invasive, high-throughput, cost-effective, and label-free manner. The platform includes a merged set of imaging modalities including and capable of interferometric microscopy and wide-field or confocal microscopy (such as, for example, a wide-field super-resolution surface enhanced Raman spectroscopy, SERS), although some aspects may be employed with data sets only received from wide-field or confocal microscopy. Related devices, systems, methods, techniques, and variations to the same are also provided.

The invention discloses a multi-frame photoacoustic image reconstruction method based on optical flow alignment and depth feature fusion. The method comprises the following steps: S1, obtaining photoacoustic signal data; s2, reconstructing a photoacoustic cross-sectional image; s3, performing optical flow calculation and image alignment; and S4, training the deep feature fusion network. According to the method, through optical flow motion correction and a potential space learning mechanism, space-time information and complementary features in the aligned multiple frames of images are dynamically integrated, complementary information in the multiple frames of images is adaptively fused, noise is suppressed, and finally reconstruction of high signal-to-noise ratio and high spatial resolution images of biological tissues is achieved. Experimental results show that the method can significantly improve image quality, recover image distortion and detail loss caused by motion and noise, and provide a new effective scheme for promoting robust clinical application of a photoacoustic imaging technology.

The invention discloses an intelligent wearing health monitoring method and system based on biological impedance analysis, and relates to the technical field of biomedical engineering. The method comprises the following steps: constructing an original impedance spectrum of a biological tissue, and synchronously collecting an original impedance signal; a two-channel impedance model is constructed, and quantitative evaluation of the electrode contact quality is achieved; constructing a time-varying transfer function to obtain a de-noising impedance time-frequency signal; establishing a Cole impedance model, extracting characteristic parameters through a tensor decomposition method, and constructing a dynamic tissue parameter matrix; physiological feature vectors are generated through a multi-layer perceptron; constructing a metabolic impedance coupling differential equation to obtain a body component estimation vector, and realizing dynamic tissue parameter weight distribution and sensitivity adjustment; and carrying out grading evaluation on the calibrated body component vector. The stability and adaptability of the system are improved by optimizing impedance measurement, constructing a high-dimensional tissue parameter model, dynamically estimating body components, enhancing the interpretability of health assessment, cooperatively processing physiological state parameters and fusing multi-source information.

The invention relates to a three-dimensional spiral high-density neural electrode and a preparation method and application thereof. The three-dimensional spiral high-density neural electrode comprises a probe structure and a plurality of electrode sites. The probe structure is formed by curling a planar flexible electrode precursor, and at least one end of the probe structure is provided with a spiral outer surface of a three-dimensional spiral line structure. Electrode sites are distributed along a spiral path, have a size of 5-1000 [mu] m, and are used for contacting biological tissues. On the planar flexible electrode precursor, electrode sites are arranged on one or more straight lines forming an inclined angle alpha with the axial direction of the probe, and the spatial distribution is matched with the edge. Compared with the prior art, the method has the advantages that the constraint of a traditional wiring mode is broken through, the integration of high-density three-dimensional channels is realized under a micro size, and a new generation of solution is provided for a high-precision brain-computer interface, deep brain stimulation and a three-dimensional electroencephalogram.

The invention discloses a spatial domain identification method and device based on multi-modal topological consistency, and belongs to the field of transcriptome spatial domain identification, and the method comprises the steps: constructing a multi-layer network which is in one-to-one correspondence with modal information contained in a biological tissue based on spatial transcriptomics data of the biological tissue; extracting a consensus structure feature shared by the multi-layer network and a specific structure feature specific to each layer of network; constructing a cell consistency network of the biological tissue according to the consensus structural features, the specific structural features and the multilayer network; and performing clustering processing on the cell consistency network to obtain recognition results of different spatial domains in the biological tissue. According to the method, the heterogeneity problem among different modal data can be overcome, and the spatial domain recognition effect is better.

The invention relates to an adaptive weight gradient optimization method for biological tissue ultrasonic inversion, and the method comprises the following steps: S1, obtaining a coarse tissue region division vector based on travel time tomography, and representing the position of a certain point in a region; s2, initializing variation posterior distribution of each particle; s3, calculating a region dependence weight; s4, acquiring simulated ultrasonic data corresponding to each sample sampled from the current variation posterior distribution; s5, calculating a joint loss function based on the current variational distribution, the sample, the simulated ultrasonic data and the experimental observation data; s6, judging whether convergence occurs or not based on the loss function, if convergence occurs, executing S7, otherwise, performing iterative calculation according to the loss function to obtain new variational posteriori distribution, and returning to S3; and S7, taking the current mean value as an inversion imaging result, and taking the current standard deviation as the inversion uncertainty of the inversion imaging result. Compared with the prior art, the method has the advantages of solving the problem of periodic jump in complex biological tissue inversion and the like.

An information processing device including: a control unit configured to: acquire at least one frame image generated by using line data indicating intensity of a reflection wave with respect to an ultrasound radially transmitted from an ultrasound transducer moving inside a biological tissue, and extract a specific region from the at least one frame image based on a ratio between an average of luminance in a region of interest included in the at least one frame image and a dispersion of luminance in the region of interest.

The invention belongs to the technical field of biomedical tissue engineering materials, and particularly relates to injectable composite plastic gel and a preparation method thereof. The injectable plastic gel provided by the invention is formed by suspending and compounding the cross-linked sodium hyaluronate gel particles and the biological tissue extracellular matrix particles, the two material particles in the injectable composite plastic gel are uniform in size and controllable in size, other toxic catalysts do not need to be added in the preparation process, and the injectable plastic gel is easy to prepare. The collagen / elastin composite material is rich in collagen and elastin, and shows good biomechanical properties. Meanwhile, the composite plastic gel contains a plurality of bioactive factors, and after the composite plastic gel is injected and filled into a body, the composite plastic gel is slowly degraded and can promote the generation and ingrowth of autologous fat cells and microvessels, so that the balance of degradation and remodeling is achieved. The preparation method of the injectable plastic gel provided by the invention can be widely applied to the fields of plastic surgery, medical beauty and the like.

The invention discloses a near-field focusing microwave thermal therapy device and method based on a Huygens metasurface. The device comprises a feed source antenna, a Huygens metasurface array and a biological tissue model. The feed source antenna is a 5.8 GHz double-ridge horn antenna and is used for transmitting x-polarized electromagnetic waves; the Huygens metasurface array is formed by periodically arranging double-layer through-hole-free Huygens units, anti-symmetric E-shaped metal patterns are symmetrically arranged on the upper surface and the lower surface of the single-layer PCB substrate, and phase regulation and efficient transmission are achieved by adjusting unit structure parameters; the biological tissue model is of a two-layer structure attached to the Huygens metasurface array, electromagnetic waves emitted by the feed source antenna are subjected to phase compensation regulation and control through the Huygens metasurface array, and then near-field focusing is achieved on the surface layer of the biological tissue, so that the electric field intensity, the SAR value and the temperature of a target area reach design threshold values respectively, and the target area is obtained. And local precise heating of electromagnetic resonance and phase regulation is formed. According to the invention, an efficient, stable and easy-to-implement technology is provided for local precise heating in microwave hyperthermia.

The utility model provides an automatic filling device and a biological tissue transferring and filling device, and the automatic filling device comprises one or more negative pressure ports which are arranged on one wall of the automatic filling device, the one or more negative pressure ports are connected with liquid or air to be sucked through one or more sleeves; and the negative pressure device is used for filling liquid or air into the one or more sleeves through the one or more negative pressure ports. According to the casing pipe filling device, the casing pipe filling efficiency is effectively improved, and the casing pipe filling complexity is reduced.

The utility model relates to the technical field of biological tissue engineering, in particular to an organ chip platform integrated with optical tweezers, which is used for assembling and culturing three-dimensional cell tissues and comprises an organ chip with optical transparency and holographic optical tweezers integrated with the organ chip. The organ chip is horizontally arranged and comprises an upper-layer plate, a middle-layer plate and a lower-layer plate which are sequentially stacked, the middle-layer plate is provided with at least two first culture pools used for inducing and differentiating stem cells into different types of cells and at least one second culture pool used for assembling and culturing the different types of cells, and the lower-layer plate is provided with at least two second culture pools used for assembling and culturing the different types of cells. The channel is connected with the first culture pond and the second culture pond; and an objective lens of the holographic optical tweezers faces the top surface or the bottom surface of the organ chip and is used for capturing, moving and assembling cells in the first culture pool or the second culture pool. According to the utility model, the dependence on a micro-pattern processing technology can be reduced, the cost is reduced, and the regulation and control capability on an organoid tissue structure is improved.

An embodiment of the present invention discloses an electrocoagulation surgical instrument, which uses a pulling portion and a first operating arm to form a first electrical path, and uses a sheath portion and a second operating arm to form a second electrical path, so as to apply a coagulation current to biological tissue. Thus, on the one hand, the electrocoagulation surgical instrument is configured as a detachable electrocoagulation component and a drive component, which fully utilizes the multiple incisions of laparoscopic surgery, so that the electrocoagulation component and the rod can be respectively inserted into the cavity from different incisions, reducing the size of the wound corresponding to the rod and improving the patient's postoperative recovery speed. On the other hand, during the assembly process of the electrocoagulation component and the drive component, the pulling portion can pull the electrocoagulation component and the drive component toward each other to facilitate the assembly of the two. At the same time, the pulling portion can further pull the first operating arm and the second operating arm closer to each other, so as to realize the electrocoagulation operation of the first operating arm and the second operating arm on the biological tissue, thereby simplifying the surgical operation.

The invention provides a tumor cell assisted positioning system and method based on a composite image, and relates to the technical field of medical image.The system comprises a data acquisition module used for synchronously acquiring radio frequency echo signals, ultrasonic images and computed tomography data of target biological tissue to generate an original fusion data set; the feature processing module is used for performing spatial registration and feature extraction on the original fusion data set to obtain a multi-dimensional feature set; and the identification imaging module is used for extracting a multi-band radio frequency echo signal intensity level value of the target area based on the multi-dimensional feature set, generating a tissue radio frequency characteristic diagram through logarithmic compression, and performing pixel-level fusion on the tissue radio frequency characteristic diagram and the synchronous ultrasonic image to generate a composite image. According to the method, the three-dimensional coordinates of the tumor boundary are determined through multi-modal data fusion and precise calibration in combination with anatomical structure constraints, and the accuracy of tumor cell positioning is improved.

The utility model relates to the technical field of fixation and preservation of biological tissue samples, and provides an embedding mold for multiple frozen tissues, which comprises a base, a plurality of clamping pieces, a plurality of clamping pieces and a plurality of clamping pieces, and is characterized in that the top surface is provided with a pair of centrosymmetric supporting blocks; the sleeve is detachably arranged outside the pair of supporting blocks in a sleeving manner; wherein the pair of supporting blocks are arranged at an interval of 180 degrees, and the outer side walls of the supporting blocks are attached to the inner side wall of the sleeve in a transition fit mode; the sleeve is as high as the supporting block, and an accommodating cavity is defined by the inner side wall of the sleeve and is used for embedding the plurality of strip-shaped frozen tissue blocks in a vertical form. The containing cavity formed in the sleeve is changed into a columnar shape with enough depth from an existing flat shape with limited depth, the problems that the tissue structure is incomplete and an OCT embedding medium overflows are directly solved, the edge of a tissue combined block is smooth, slicing is facilitated, meanwhile, a plurality of strip-shaped frozen tissue blocks are embedded in a vertical mode, and the working efficiency is improved. The height of the tissue block is unified, the size of the tissue block is fixed, and the problems that sample loss is large and tissue arrangement is too close to the edge are solved.

The invention relates to the technical field of material physicochemical property testing and analysis, in particular to a biological tissue anatomy quality evaluation method based on multi-modal data fusion. Comprising the following steps: step 1, synchronously acquiring multi-modal data of spatial registration, and synchronously acquiring data under the same coordinate system through a spatial registration device integrated with an optical path; based on the coordinate mapping relation, resampling the mechanical distribution diagram and the topological model to a spatial grid of the hyperspectral data; step 2, performing pathology-oriented feature fusion; and step 3, generating an anatomical quality index, inputting the fusion feature vector into a pre-trained deep residual network, outputting a quality evaluation index QI, generating an anatomical quality thermodynamic diagram based on a resampling space grid coordinate, and marking a QI value of each region. By realizing accurate and synchronous acquisition of multi-modal data, pathological-oriented feature extraction and fusion and quality evaluation of a deep learning network, the method can more accurately and comprehensively evaluate the anatomical quality of the biological tissue.

A dry drug delivery system comprising a middle layer encased in two outer layers, the middle layer and the two outer layers each comprising a mixture of electrospun fibers. Also disclosed is a water-dissolvable dry device containing a physical mixture of a first fiber and a second fiber in which the first fiber and the second fiber are configured to react with each other and with a biological tissue upon hydration, and the device transforms into a hydrogel upon contact with the biological tissue. Further provided is a method for delivering a bioactive substance to a soft tissue using the system or device.

The invention discloses a biological tissue internal temperature microwave chromatography method and system, and belongs to the technical field of microwave measurement. The problem that the internal temperature of the biological tissue cannot be accurately obtained by adopting a microwave radiation temperature measurement technology nowadays is solved. The method comprises the following steps: acquiring environmental thermal radiation rates under different environmental conditions, and acquiring temperature distribution data of a human tissue profile to be subjected to temperature measurement along with depth change under different environmental conditions by utilizing a real three-dimensional anatomical model, a heat conduction equation and a thermal radiation equation of the human tissue to be subjected to temperature measurement; calculating dielectric constants of the human tissue to be subjected to temperature measurement under different frequencies, and obtaining radiation brightness temperature data of different frequencies under different environmental conditions by combining the temperature distribution data and a real three-dimensional anatomical model of the human tissue to be subjected to temperature measurement; constructing a brightness temperature-temperature conversion matrix by adopting a least square method; and acquiring brightness temperature data of different frequencies of human tissue to be subjected to temperature measurement, substituting the brightness temperature data into the brightness temperature-temperature conversion matrix, and performing inversion to obtain temperatures of different depths of the human tissue to be subjected to temperature measurement. The method is suitable for temperature measurement.

The invention discloses a magnetic nanoparticle concentration distribution inversion method and a related device, and relates to the technical field of biomedical engineering.The method comprises the steps that firstly, magnetic nanoparticles in biological tissue are excited through an external magnetic field to generate infinitesimal displacement; and then ultrasonic equipment is adopted to collect ultrasonic ultrafast plane wave imaging data and carry out axial vibration displacement detection, axial vibration displacement actual measurement data and corresponding discrete space and time coordinates are input into the inversion model for iterative inversion, and a magnetic nanoparticle concentration distribution inversion result is obtained. A loss function of the inversion model includes a data-driven loss item and a physical information-driven loss item (based on a Navie equation). Compared with the prior art, the method has the advantages that the physical information neural network is introduced, control equations such as a nano-dimension equation and the like are encoded to the full-connection neural network, physical equations do not need to be excessively simplified, complex and time-consuming modeling for an experimental environment is not needed to obtain simulation data, and higher accuracy and stability are achieved.

The invention discloses a transmission type communication system and method based on low-frequency carrier waves and high-frequency modulation. The transmission type communication system and method are suitable for complex medium environments such as deep sea, strata and biological tissues. Aiming at the contradiction that the traditional low-frequency communication bandwidth is insufficient and the high-frequency communication penetrating power is poor, according to the scheme, a low-frequency carrier wave (30Hz-100kHz) and a high-frequency modulation signal (such as OFDM (Orthogonal Frequency Division Multiplexing) and 256QAM (Quadrature Amplitude Modulation)) are fused through a nonlinear signal superposition technology to generate a composite carrier wave signal, long-distance penetration is realized by utilizing the low attenuation characteristic of the low-frequency carrier wave, and meanwhile, the data rate is improved through high-frequency modulation. Application scenes comprise deep sea detection (300-meter high-definition video return), a brain-computer interface (implantable antenna transmission neural signal) and an intelligent power grid (underground pipe network monitoring). Through the physical layer-information layer collaborative design, the physical boundary limitation of traditional communication is broken through, and high penetrability, high bandwidth and strong anti-interference capability are achieved.

The invention provides a sampler and a sampling method for collecting biological molecules on the surface of tissue, the sampler is provided with a sampling direction, the sampler comprises a main body, the main body is provided with an arc-shaped track, the center of the arc-shaped track corresponds to the center of the main body, and the sampling direction of the main body is equal to that of the arc-shaped track in one length direction of the track. And the radius of the arc-shaped track is gradually increased or decreased. According to the sampler for collecting the biological molecules on the surface of the tissue, a plurality of sampling needles are arranged, a sampling liquid drop corresponding to a sampling center can be formed and maintained among the output ends of the plurality of sampling needles, and a non-embedded sampling mode is realized through contact between the liquid drop and the surface of the biological tissue; the damage to the integrity of key biomolecules possibly caused by a traditional method is avoided, the acquisition of high-fidelity biomolecules is facilitated, and the sampler can reduce physical disturbance and mechanical damage to fragile tissues to the maximum extent.

The application provides application of SEBS in implanting a biological electrode base. The biological electrode based on the SEBS base can be implanted in biological tissues, and is used for continuously or discontinuously analyzing physiological parameters of the biological body. Compared with other flexible bases, the SEBS base has the characteristics of being thinner and more flexible, can reduce the interference of body movement on the electrical signal, reduce the volume range of the implanted tissue and reduce the inflammatory reaction, thereby improving the measurement accuracy and long-term stability, is expected to meet more implantation site requirements when used for implanting a sensor, and has a good application prospect.

The invention discloses a single cell space transcriptome data analysis method, device and system, and a storage medium. The method comprises the following steps: acquiring single cell space transcriptome data; the spatial transcriptome data comprises a gene expression map and spatial site coordinates; constructing a graph structure considering gene expression similarity and spatial position continuity on the basis of the data, and performing data representation on a gene expression graph by using an adversarial auto-encoder; in combination with a graph neural network, robust potential characterization is learned, training loss is constructed through reconstruction of a gene expression map, and meanwhile, a clustering prediction result of spatial sites is obtained in combination with mcluster clustering. By adopting the technical scheme of the invention, the spatial clustering analysis with higher precision can be realized, and the key spatial functional region in the biological tissue can be identified.

The invention discloses a biological scaffold viscoelasticity evaluation method and related equipment, and aims to overcome the defects of an existing biological scaffold viscoelasticity test method and biological tissue suitability quantitative evaluation. The method comprises the following steps: determining a target implantation part, and acquiring force relaxation experimental data of a biological scaffold by using an atomic force microscope; judging a contact point of the probe and the bracket based on the data; determining the moment when the force signal is stable after the support is compressed to the preset deformation according to the contact point as a force relaxation starting point; calculating the characteristic time when the force value is attenuated to half by taking the starting point as a timing starting point as a microscopic viscoelasticity index; and finally, realizing quantitative evaluation of viscoelasticity suitability by comparing the characteristic time of the stent and the target tissue.

Disclosed are surgical tool systems and methods for installing a fixator in biological tissue with precision and efficiency. These systems are designed to measure torque and rotational velocity accurately while providing real-time feedback to the user during surgical procedures. Utilizing integrated sensors, the system calculates torque and energy-rotation parameters, including mean torque, mean rotational velocity, mean power, and total energy. Based on these measurements, the system generates a Property I value—a weighted combination of these parameters—to assess whether the operation falls within optimal ranges. If the Property I values deviate from these ranges, the system generates corrective signals and adjusts the tool's operation to ensure optimal performance. In some cases, this iterative process continues until the fixator installation is successfully completed, enhancing surgical accuracy and reducing the risk of errors.

The invention provides a tissue high-resolution mass spectrum imaging technology based on light-driven expansion hydrogel, and belongs to the field of mass spectrum imaging. The technology comprises preparation of light-driven hydrogel, preparation of a light-driven gelation biological sample, digestion and expansion of the gelation biological sample and mass spectrum imaging of the expanded gelation biological sample. The gelation process of the light-driven expansion hydrogel is not inhibited by oxygen, the gelation time is short (only 3 minutes), the gel thickness can be controlled by controlling the addition amount of a gel monomer solution, and the adaptability to a mass spectrum imaging technology is higher; according to the method, 6 times of linear expansion of the hydrogel is successfully realized, and spatial distribution characterization of lipid in liver lobules is realized under the spatial resolution of 100 microns. The method is low in cost and simple and convenient to operate, and has a wide application prospect in popularization of a high-resolution mass spectrum imaging technology at a biological tissue molecule level.

The invention discloses a dynamic test method and system for tissue frequency domain impedance characteristics, and belongs to the technical field of medical detection. The system comprises an energy generator, a bipolar scalpel, a signal generator, a radio frequency power amplifier module, a control unit, two loop switches, a sampling probe and a test unit. An electrode of the bipolar scalpel is used for being in contact with a biological tissue to be subjected to frequency domain impedance characteristic testing; the energy generator is connected with the first loop switch and is used for outputting an electric resection / electrocoagulation signal to the biological tissue so as to dynamically reproduce the state change of the biological tissue; and the signal generator inputs a broadband excitation voltage signal to the biological tissue through the radio frequency power amplifier module and the second loop switch. The control unit is used for coordinating on-off of the two loop switches. The sampling probe is used for collecting voltage and current signals of the double electrodes in real time and feeding back the signals to the testing unit. The test unit generates a real-time impedance characteristic spectrogram of the biological tissue along with frequency change. The tissue impedance change can be monitored on line in real time.

This invention discloses a biological tissue stiffness measurement device and its usage method. The device includes a stage for placing biological tissue slices, a Z-axis displacement stage, a photonic crystal colorimetric sensor, a light source, an imaging device, and a host computer. The light source illuminates the photonic crystal colorimetric sensor. The Z-axis displacement stage causes the biological tissue slice to press down on the photonic crystal colorimetric sensor, causing its color to change. The imaging device receives the color information from the photonic crystal colorimetric sensor and sends it to the host computer. When applied to biological tissue stiffness imaging, this device controls the tissue slice to descend at required step distances, causing the tissue slice to be vertically pressed against the photonic crystal colorimetric sensor. By recording and imaging the color of the photonic crystal colorimetric sensor and calculating the stiffness information, the device minimizes damage to the biological tissue being tested.

The invention relates to the technical field of biology, and discloses an application method of a donkey whole genome 60K liquid phase chip, which comprises the following steps: carrying out nucleic acid extraction on pure biological tissues to obtain biological tissue nucleic acid; the method comprises the following steps: screening biological tissue nucleic acid to obtain target tissue nucleic acid, carrying out fragment connection and mixing on the target tissue nucleic acid to obtain a nucleic acid fragment mixture, carrying out amplification reaction on the nucleic acid fragment mixture to obtain an amplified nucleic acid library, and sequencing the hybridization liquid phase chip to obtain chip sequencing data; performing single-base variation screening on the chip sequencing data to obtain single-base variation data, performing base sequence splicing on the single-base variation data to obtain a single-base sequence, and calculating a genetic effect value corresponding to the donkey sample; and determining a core gene set corresponding to the donkey sample from the chip sequencing data, mining key gene loci in the core gene set, and generating a personalized genetic report of the donkey sample. The method can improve the analysis accuracy of the donkey whole genome.