1739 results about "Biological tissue" patented technology

The invention relates to the technical field of database construction, in particular to a construction method and system for a reproductive medicine database. The method comprises the following steps: acquiring a biological tissue sample of a patient; acquiring reproductive endocrine hormone data, embryo morphological parameter data, immune cell function data and genome variation data from the biological tissue sample of the patient; performing time sequence analysis processing on the hormone fluctuation mode according to the reproductive endocrine hormone data to obtain endocrine dynamic characteristic data; performing image recognition processing based on coherent superposition characteristics of light on the embryo morphological parameter data, and performing embryo development potential evaluation to obtain embryo development potential data; and performing hierarchical clustering processing on the individual heterogeneity of the patient according to the immune cell function data and the genome variation data to obtain immune-genetic typing data of the patient. By means of the quantum dot sensing technology and the multi-channel micro-fluidic chip, standardization of data acquisition is achieved, and the heterogeneity problem of a data source is solved.

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.

The invention provides a surgical process monitoring method and system based on machine vision, and the method comprises the steps: firstly obtaining a surgical scene real-time image sequence containing the dynamic images of a surgical instrument operation region and a biological tissue region; secondly, extracting a surgical instrument identification result (including an instrument type and a space posture) and a biological tissue segmentation result (including a tissue type and a region boundary), then monitoring an instrument operation track and a biological tissue region deformation parameter based on the results, generating a dynamic operation state parameter, and according to a predefined surgical stage safety threshold value, determining a biological tissue region deformation parameter; multi-modal anomaly detection is carried out on the dynamic operation state parameters, an abnormal event type and a risk level are determined, finally, a visual operation monitoring report is generated according to the abnormal event type and the risk level, the report covers abnormal area marks, risk prompt information and correction suggestions, comprehensive intelligent monitoring of the operation process is achieved, and the operation safety and the success rate are improved in an auxiliary mode.

The invention provides automatic dyeing equipment for biological tissue sample slices, which comprises a feeding mechanism, a feeding and discharging buffering mechanism, an automatic dyeing mechanism, a reagent adding mechanism, an after-dyeing drying mechanism, a reagent storage mechanism and a main console, the main console is in control connection with the feeding mechanism, the feeding and discharging buffering mechanism, the automatic dyeing mechanism, the reagent adding mechanism, the after-dyeing drying mechanism and the reagent storage mechanism, the feeding mechanism is provided with a plurality of microscope glass slide vertical placing supports, the automatic dyeing mechanism is provided with a dyeing groove, and the dyeing groove can be filled with a dyeing reagent and is matched with the microscope glass slides; the reagent adding mechanism can automatically add and supplement a dyeing reagent to the dyeing tank, the reagent storage mechanism can add and supplement the dyeing reagent to the reagent adding mechanism, and the post-dyeing drying mechanism is matched with the feeding and discharging temporary storage mechanism and the automatic dyeing mechanism. The microscope glass slide has the beneficial effect that the risk of cross contamination between microscope glass slides filled with biological tissue sample slices can be avoided.

This disclosure relates to a biological tissue forming method includes the following steps: providing a biological tissue forming package with a base, a membrane, a sliding assembly and a sealing film that seals a chamber of the base used for receiving the membrane and the sliding assembly with one of the base and the sealing film being light-transmitting; passing a biological tissue fluid through the sealing film and the sliding assembly so as to be dispensed on the membrane; moving the sliding assembly away from a covering position used for covering the membrane via at least one passive magnetic element so as to expose the biological tissue fluid on the membrane; and emitting the biological tissue fluid exposed on the membrane by a curing light transmitting through the one of the base and the sealing film so as to cure the biological tissue fluid into a biological tissue.

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 the technical field of medical monitoring, in particular to a wrist signal collecting and processing method and system based on biological tissue analysis. The system is used for generating wrist multi-signal acquisition optimization equipment by designing and integrating wrist wearable equipment corresponding to a photoelectric volume pulse wave sensor, an electrocardio sensor and a skin electric response sensor and performing position structure optimization design; the method comprises the following steps: acquiring PPG signals, ECG signals and GSR signals corresponding to wrist biological tissues in real time by using wrist multi-signal acquisition optimization equipment, and performing high-frequency drift preprocessing and biological tissue characteristic analysis to obtain a wrist biological tissue signal characteristic set; and performing feature redundancy and dimension reduction processing on the wrist biological tissue signal feature set, and performing wrist physiological state assessment analysis to obtain a wrist biological tissue state assessment result. According to the invention, accurate acquisition and analysis of wrist signals can be realized, so that reliable data support is provided for personalized analysis.

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 discloses a medical image analysis processing method based on AI, and relates to the technical field of image analysis, and the method comprises the steps: collecting multi-modal medical image data of a patient from an image device, and carrying out the preprocessing of the multi-modal medical image data; fusing the preprocessed multi-modal medical image data, extracting biological tissue features, constructing a biological tissue feature library, and marking abnormal biological tissue features in the biological tissue feature library; according to a medical image analysis task, combining with the marked biological tissue feature library to train an AI visual detection model so as to identify and classify different abnormal biological tissues; and automatically detecting an abnormal biological tissue area in the image by using an AI visual detection model. According to the method, high-precision analysis can be carried out on medical images through the AI technology, tiny abnormal changes can be detected, the severity of lesions can be evaluated and the development trend of diseases can be predicted through quantitative analysis on image features, and the risk of disease progression can be timely found and reduced when the lesions do not cause obvious symptoms.

The invention discloses a UNET supervised network slice HE virtual staining method and system for pathological analysis, and belongs to the technical field of artificial intelligence digital pathological analysis. Global scanning imaging is performed on a pathological slice to obtain an HE scanning image and a fluorescence confocal scanning image, and a UNET supervised network data set is established; a UNET supervised virtual dyeing network model is constructed; training and verifying the UNET supervised virtual dyeing network model by using the UNET supervised network data set; and carrying out HE virtual staining on the fluorescence imaging pathological section image by using the trained UNET supervised virtual staining network model. The method has the remarkable advantages in the aspects of dyeing precision, dyeing efficiency and robustness, and automatic and rapid virtual dyeing of different types of biological tissue sections can be achieved without accurate image registration.

The invention discloses a preparation method of 3, 4-dihydroxy benzaldehyde / gelatin carbon nanomaterial-based adhesive hydrogel, and belongs to the technical field of hydrogel. According to the invention, 3, 4-dihydroxy benzaldehyde and gelatin are adopted as carbon sources, the synthesized nano-filler has amphiphilic surface characteristics, uniform dispersion of the nano-filler in a hydrogel network can be promoted, meanwhile, a mechanically firm and deformable nano-composite structure is established by utilizing the interaction of multivalent interfaces, and 3, 4-dihydroxy benzaldehyde and gelatin are added into the hydrogel network. The surface chemical property of the 1, 4-dihydroxybenzaldehyde / gelatin nano-filler not only can relieve phase separation, but also can promote synergistic energy dissipation through hydrogen bond reconstruction under the action of stress. According to the design, the inherent flexibility of the hydrogel is reserved, meanwhile, the electromechanical response capacity of the hydrogel is greatly improved, and the obtained hydrogel material has the dual functions of structural supporting and active sensing media and can be seamlessly integrated with biological tissue without sacrificing the fidelity of interface signals.

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 invention discloses a red up-conversion luminescent material, which belongs to the field of inorganic luminescent materials, the chemical formula of the material is NaEr < 0.65 > F4: Yb < 0.2 > / Gd < 0.1 > / Tm < 0.05 >, and up-conversion microparticles of the red up-conversion luminescent material are used as a bifunctional luminescent temperature sensor which can be used for a 293348 K low-temperature region sensitization sensor and a 348498 K high-temperature region thermal quenching sensor. After near-infrared light with the wavelength of 980 nm excites Yb < 3 + > ions, through efficient energy transfer between Er < 3 + > and Tm < 3 + >, different changes of near-infrared response type 654 nm and 808 nm red up-conversion luminescence characteristics can be used for non-contact optical temperature measurement under the extreme temperature condition. Temperature detection is realized based on thermal coupling energy levels of 4F9 / 2 to 4I15 / 2 and 3H4 to 3H6, and the distance between two emission peaks is large, so that the data processing error is greatly reduced; excitation light and emission light are located in an optical window of the biological tissue, and absorption and self-fluorescence of the biological tissue are greatly reduced. The preparation method is based on the green chemistry concept, takes water as a solvent and adopts a one-step hydrothermal method for synthesis, the preparation method is simple, the required temperature is low, the preparation process is easy to control, the material crystal phase is good, the phase is uniform, the yield is high, the material performance is stable, and the good temperature response effect is achieved.

The present invention relates to the nanoparticles (NP) of the invention, compositions thereof and their use as therapeutic agents, in particular in the field of oncology and / or as imaging agents. The NPs consist of first nanoparticles of at least one high-Z metal oxide material, to which smaller second nanoparticles are covalently bonded at the surface of the first nanoparticles. The second nanoparticles consist of a) at least one noble metal or at least one metal oxide, metal sulfide, metal selenide or metal sulfide / selenide as a Fenton or Fenton-like reaction catalyst. The NPs of the invention produce a surprising therapeutic effect when exposed to ionizing radiation such as X-rays, gamma-rays, protons, neutrons, radioisotopes and / or electron beams. Therefore, these NPs can be used as radiosensitizers in the field of oncology. These nanoparticles can also be used as contrast agents.

A heart treatment system is disclosed capable of diagnosing one or more critical regions of interest for a biological rhythm disorder by sensing signals from biological tissue. If a critical region is not present at the current location of sensed signals, the system is capable of indicating a guidance direction in which to navigate to reach one or more critical regions. Ablation energy is delivered to treat said region of interest. Signals are again sensed and analyzed to assess the impact of treatment. This process is repeated until all critical regions of interest are treated. In some embodiments, all functionality is provided by a single sensing and treating catheter with display device and analytical software.

Apparatus and associated methods relate to controlling electrical power of an electrotherapeutic signal that is provided to a biological tissue engaged by an electrosurgical instrument during a medical procedure. Electrical power—a product of a voltage difference across and an electrical current conducted by the engaged biological tissue—is controlled according to a therapeutic schedule. The electrotherapeutic schedule can be reduced or terminated in response to a termination criterion being met. In some examples, the termination criterion is a current characteristic, such as, for example, a decrease in current conducted by the engaged biological tissue. In some examples, the termination criterion is a biological tissue resistance characteristic, such as, for example, an increase in the biological tissue resistance that exceeds a predetermined delta resistance value.

According to an aspect there is provided a device for analyzing a speckle pattern from biological tissue, the device comprising:a light source configured to generate light for illuminating the biological tissue, such that the light is scattered by the biological tissue and forms the speckle pattern;a Fourier transform element configured to collect the light scattered by the biological tissue and to transform the collected light into a spatial Fourier domain at a Fourier plane of the Fourier transform element;a spatial bandpass filter arranged at the Fourier plane, the spatial bandpass filter being configured to selectively transmit light at a spatial position of the Fourier plane, the spatial position corresponding to a band of speckle sizes of the speckle pattern;a photosensitive detector configured to detect the light transmitted though the bandpass filter, wherein a signal output from the photosensitive detector comprises information on contrast of the speckle pattern.

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 invention discloses a double-gating optical detection method and system. The method comprises the following steps: generating an acquisition signal through a signal triggering module; controlling a camera module to acquire first fluorescence information in a first time gating and acquire second fluorescence information in a second time gating according to the acquisition signal; and the signal processing module is controlled to calculate and process the first fluorescence information and the second fluorescence information to obtain a ratio image. First fluorescence information is collected through first time gating, interference of autofluorescence of biological tissue on short-life fluorescence of probe molecules is avoided, then second fluorescence information is collected through second time gating, and then ratio calculation is performed according to the first fluorescence information and the second fluorescence information to obtain a ratio image. Therefore, fluorescence signals of the probe molecule and the reference molecule are distinguished, the accuracy of optical imaging in quantitative detection is improved, and the method can be widely applied to the technical field of detection.

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.