35 results about "Tissue construct" patented technology

The invention discloses a composite material performance prediction method based on multi-field coupling multi-scale analysis and a knowledge graph, which integrates microstructure modeling, graph neural network representation learning, cross-scale parameter coupling modeling and robust optimization analysis. The method is suitable for prediction and design of key mechanical properties such as modulus, strength and toughness of a thermosetting / thermoplastic composite material under different working conditions. The method comprises the following steps: firstly, constructing a grain-level tissue knowledge graph based on an electron backscatter diffraction image, secondly, constructing a multi-scale input system comprising a microscopic variable (such as a fiber volume fraction), a mesoscopic variable (such as a layer thickness sequence) and a macroscopic variable (such as a load condition), and finally, performing robust optimization by utilizing a multi-objective evolutionary algorithm to obtain a multi-scale input system. And outputting a material performance prediction result and a knowledge graph associated with the ji structure-process-performance. According to the method, the accuracy and interpretability of performance prediction of the composite material can be remarkably improved, and data-knowledge dual-drive support is provided for design optimization of the high-performance composite material.

The invention relates to the technical field of acoustic wave device application and biological tissue engineering, in particular to a method for constructing a multi-component heterogeneous fiber structure under the assistance of acoustic tweezers. According to the method, an acoustic tweezers technology and a microfluidic spinning technology are combined, an electric signal is converted into an acoustic surface wave through the piezoelectric effect of a piezoelectric material, and a beam-shaped acoustic standing wave field is formed in a microchannel of a specific structure; different target cells form a stable fiber configuration under the interaction of microchannel limitation and acoustic radiation force, and spatial precise classification and arrangement of multiple types of cells are realized. The low-temperature-sensitive hydrogel is introduced in the cell injection process, and the fiber scaffold is formed after ultraviolet curing, so that the fiber structure of the cells is still maintained after the sound field is removed. The cells treated by the surface acoustic wave can form a complex three-dimensional bionic tissue structure more easily, and the cell viability is remarkably improved. Various fiber structures can be formed by regulating and controlling sound field parameters, and great potential is shown in the field of in-vitro barrier model construction.

The present invention relates to systems, compositions and methods for multicellular bioprinting vascularized tissue constructs comprising a hierarchical vascular network. The methods employ a dual bio-ink strategy involving fibrous microgel matrix bio-inks with adjustable hardness, self-healing rheology, and microporosity to support capillary self-assembly, and sacrificial bio-inks that define a large pourable channel after removal. The system integrates top-down printing and bottom-up cell self-organization within a programmable bio-printing platform. The key aspect of the invention is to engineer the physical topography of the matrix to actively guide vascular morphogenesis beyond conventional permissive stents. The integrated platform enables the manufacture of complex bionic vascular networks with enhanced mass delivery, cellular viability, and in vivo integration potential. The invention represents an important progress in the aspect of extendable production of functional human tissues, and has application in regenerative medicine, disease modeling and drug discovery.

This invention discloses a self-lubricating hydrogel titanium alloy biomimetic joint bearing interface and its preparation method. The self-lubricating hydrogel titanium alloy biomimetic joint bearing interface is composed of a porous titanium alloy substrate, a functionalized interface layer, a negatively charged hydrogel layer, and a self-lubricating adsorption layer. A laser drilling method is used to create a porous structure on the surface of a Ti6Al4V substrate. A hydrogel precursor solution is coated onto the surface of the Ti6Al4V sample and cured by ultraviolet irradiation to obtain a negatively charged hydrogel titanium alloy composite sample. The negatively charged hydrogel titanium alloy composite sample is subjected to freeze-thaw cycles and then immersed in zwitterionic or cationic solutions for adsorption, resulting in a hydrogel titanium alloy biomimetic joint bearing interface with self-lubricating properties. The hydrogel titanium alloy biomimetic joint bearing interface of this invention significantly improves the lubrication performance of titanium alloy materials used in artificial joints, achieving biomimetic design of natural joints in terms of tissue structure and lubrication function, and is suitable for the repair and replacement of damaged articular cartilage.

A tubular tissue converter (TTT) for a tubular tissue structure. The tubular tissue converter has a plurality of blades and a plurality of retainers on each of the plurality of blades. Each retainer retains the tubular tissue structure on a respective blade. Coupling systems for coupling together tubular tissue structures and tools and methods for attaching and widening tubular tissue structures are also provided.

The application discloses a processing method and device of a 3D printing module dissection teaching model of a nasal cavity and nasal sinus, which can be widely applied in the technical field of teaching data processing. After real nasal cavity and nasal sinus image data are acquired, a 3D virtual model including a bone structure virtual model, a soft tissue structure virtual model, a nerve and blood vessel virtual model or a skull base and eye socket virtual model is constructed according to the real nasal cavity and nasal sinus image data, then a printing process of the 3D printing module dissection teaching model is performed according to the 3D virtual model, so as to obtain a 3D printing module dissection teaching model with a proportion of 1:1 with the real nasal cavity and nasal sinus image data, and nasal cavity and nasal sinus dissection teaching is performed according to the 3D printing module dissection teaching model, so that the nasal cavity and nasal sinus structure can be restored by the 3D printing module dissection teaching model, and the 3D printing module dissection teaching effect of the nasal cavity and nasal sinus is effectively improved.

The present disclosure pertains to universal and adoptable cell culture substrates designed for applications in biology, medicine, pharmaceutics, and other relevant fields. The disclosure particularly focuses on processes and methodologies for manufacturing such substrates, which prove advantageous for both non-neural (cells exhibiting robust adhesion and weak cell-cell junctions, as well as cells with regular adhesion and cell-cell junctions) and neural cell sheet engineering. These substrates aim to enhance cell adhesion, stimulate cell growth, and enable rapid and uniform harvesting of cell sheets. Additionally, the present invention introduces a scaffold-free method for tissue engineering, facilitating the creation of a 2D / 3D neural tissue construct featuring unidirectional neuron bundles.

The invention discloses an impurity-free and high-wear-resistant modification method for 2Cr13 stainless steel, which specifically comprises the following steps: step 1, pretreatment: cutting and milling a test block workpiece, processing the test block workpiece into a fixed size and shape, and then cleaning the processed workpiece by using an ultrasonic cleaning machine; step 2, preparing a sample, and polishing the test block by using a metallographic polishing machine until the test block is polished; 3, electron beam treatment, wherein electron beams are adopted for conducting continuous scanning treatment on the sample. And 4, tissue and performance testing: observing the microstructure by adopting a scanning electron microscope, measuring the hardness by utilizing a microhardness tester, and detecting the wear resistance by utilizing a friction wear testing machine. According to the method disclosed by the invention, the surface hardness, the wear resistance and the corrosion resistance of the 2Cr13 stainless steel can be remarkably improved, and the method has an extremely good application scene.

The described systems, devices and methods relate to a system that includes an electrosurgical interface electrically coupled to a generator, an energy delivery element electrically coupled to the electrosurgical interface, the energy delivery element configured to receive energy from the generator and form a puncture hole in tissue of a patient, and a return electrode electrically coupled to the patient and the generator.

The present invention relates to a novel bioreactor system for preparing an engineered three-dimensional biological tissue construct. The bioreactor system comprises a cultivation chamber that is designed to allow the formation, cultivation and the subsequent testing and / or stimulation of tissue constructs on one or more support elements with a minimum risk of microbial contamination or mechanical damage. The invention furthermore relates to a method for preparing an engineered tissue construct using the novel bioreactor system. The invention also relates to the use of the bioreactor system for preparing engineered biological tissue constructs, preferably tissue constructs which are suitable for being used in clinical tissue replacement and reconstructive therapy, drug development, drug screening, toxicity testing, cosmetic studies, safety testing, developmental studies, disease modeling, or food purposes.

1. The name of the design product: the head of surgical knives. 2. The use of the design product: overall use: for surgical tools; partial use: for cutting tissue structure and containing surgical tool accessories. 3. The design points of the design product: the shape of the partial design. 4. The picture or photo that best shows the design points: design 1A enlarged view. 5. Design 1 is designated as the basic design. 6. Other circumstances that need to be explained: the design product involves partial design, the green coated part in each figure is the unclaimed part, and the part other than the green coating is the claimed part; design 1A enlarged view is the partial enlarged view of point A in design 1 perspective view 1; design 1B enlarged view is the partial enlarged view of point B in design 1 perspective view 2; design 1C enlarged view is the partial enlarged view of point C in design 1 front view; design 2D enlarged view is the partial enlarged view of point D in design 2 perspective view; design 2E enlarged view is the partial enlarged view of point E in design 2 front view; design 3F enlarged view is the partial enlarged view of point F in design 3 perspective view; design 3G enlarged view is the partial enlarged view of point G in design 3 front view; design 4H enlarged view is the partial enlarged view of point H in design 4 perspective view; design 4I enlarged view is the partial enlarged view of point I in design 4 front view.

The invention relates to the technical field of novel metal materials, in particular to a novel light high-strength single-phase refractory high-entropy alloy based on machine learning design and a design and preparation method thereof, the alloy is composed of five elements of Cr, Mo, Ti, V and W, and the composition ranges (at.%) of the alloy are as follows: 5-25% of Cr, 5-15% of Mo, 25-35% of Ti, 20-35% of V and 5-20% of W. The invention further provides a design method of the single-phase refractory high-entropy alloy, according to the method, the yield strength of the single-phase refractory high-entropy alloy is predicted through a machine learning regression model, and the valence electron concentration and density are calculated through a mixing rule. And drawing a performance map based on the prediction data, and screening out a target component from the performance map for microstructure and mechanical property characterization. The as-cast structure of the high-entropy alloy provided by the invention is a single-phase BCC structure, and the high-entropy alloy has low density, high yield strength and good compression plasticity at room temperature.

The invention relates to the technical field of high-strength titanium alloys, in particular to a high-strength and high-toughness titanium alloy with a toughened double-tissue structure and a preparation method of the high-strength and high-toughness titanium alloy. The high-strength and high-toughness titanium alloy with the strengthened and toughened double tissue structures comprises two tissue structures, namely a widmanstatten tissue and a basket tissue. The Ti55531 titanium alloy with both the widmanstatten structure and the basket-shaped structure is obtained by adding the extrusion treatment on the forge piece, eliminating the primary equiaxed alpha phase and refining the grains and then accurately controlling the cooling speed from the beta annealing temperature to the alpha aging temperature, and high strength and high toughness are achieved.

The invention relates to an organization structure division method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: performing organization structure division according to density image data of spatial transcriptome data to obtain first hierarchical information; performing tissue structure division based on a cell grouping result of the spatial transcriptome data to obtain second hierarchical information; and integrating the first hierarchical information and the second hierarchical information to obtain integrated hierarchical information, and performing superposition judgment on the integrated hierarchical information to perform hierarchical fine adjustment on hierarchical information with inconsistent hierarchical division in the integrated hierarchical information to obtain target hierarchical information. By adopting the method, personal errors can be reduced, and the accuracy of organization structure division can be effectively improved.

The present invention relates to three-dimensional (3D) tissue constructs and methods of using such 3D tissue constructs to screen for neurotoxic agents. In particular, provided herein are methods of producing and using complex, highly uniform human tissue models comprising physiologically relevant human cells, where the tissue models have the degree of sample uniformity and reproducibility required for use in quantitative high-throughput screening applications.

The present invention provides apparatus and methods for production of tissue structures and organs. In some examples, a cleanspace facility may be equipped with modelling hardware and software, nanotechnology and microelectronic apparatus, and additive manufacturing equipment to print cells and support matrix to allow cells to grow into tissue structures and organs. Various methods relating to using and producing the tissue engineering system are discussed.

The invention relates to an electric anastomat pressure self-adaptive adjusting method based on multi-source perception. The method comprises the following steps that 1, multi-dimensional data are obtained in real time; 2, based on sensor data, four stages of prepressing, main pressing, sewing and releasing are automatically recognized through a state machine driving mechanism, and an independent pressure curve and an adjustment strategy are adopted in each stage; 3, combining a pre-stored organ multilayer structure mechanical model, matching the real-time thickness map with the organization structure model through a genetic algorithm and a particle swarm optimization algorithm, and generating an optimal pressure distribution matrix; 4, driving corresponding actuators to generate different micro-displacements according to the pressure distribution matrix so as to realize differential pressure application of each area of the jaw; and step 5, integrating a low-power-consumption Bluetooth 5.2 / Wi-Fi 6E module to perform wireless communication, and designing a touch display screen to display a pressure distribution map, a tissue thickness profile and a stage state in real time.

The invention provides a navigation grinding method and a surgical robot system for craniomaxillofacial abnormal proliferation bone fibers, and the method comprises the steps: S1, obtaining craniomaxillofacial bone tissue image data and intraoral scanning data of a target human body, and constructing a three-dimensional digital craniomaxillofacial model; s2, based on abnormal pathological features of abnormal proliferation bone fibers in the craniomaxillofacial bone tissue image data, identifying and obtaining a bone fiber abnormal proliferation disease lesion area, and generating a lesion area three-dimensional model; s3, human body key tissue structures existing in the craniomaxillofacial region are obtained through segmentation, the minimum distance between abnormally proliferated bone fibers in the bone fiber abnormal proliferation disease lesion region and any human body key tissue structure is calculated, and a distance field graph is generated; s4, based on the lesion area three-dimensional model and the distance field map, a navigation grinding path of the surgical robot is established, and therefore the functions of medical image data recognition and analysis, navigation grinding path automatic generation, robot-assisted surgery and the like based on the artificial intelligence technology are achieved.

Compositions and methods for bioprinting a transplantable vascularized tissue construct that allows for direct surgical anastomosis to a host, to achieve immediate blood perfusion with host vasculature for long-term cell survival and function.

The application provides an application management method and device, equipment and a storage medium. The method comprises the following steps: mounting an application on a first base; in the case that the number of applications mounted on the first base meets a first condition, mounting a second base on the first base; and mounting at least one unmounted application on the second base. In this way, when the number of applications is large, a plurality of applications can be aggregated into at least two layers of tree-shaped organizational structures to manage the applications in layers, thereby saving the management cost of the application system.

The application belongs to the technical field of metal material 3D printing, and more particularly to a method for improving the microstructure uniformity and / or mechanical properties of Ti-Ta alloy. The TaH alloy powder is used to replace the existing process Ta powder, which is uniformly mixed after being added to the spherical CP-Ti powder, and then a biomedical Ti-Ta alloy with uniform microstructure and meeting the human mechanical property requirements is prepared by using 3D printing technology. In the 3D printing sintering process, the H atoms in TaH will undergo a dehydrogenation reaction, forming a large number of lattice defects in the surrounding alloy structure, thereby providing ion migration channels for the mutual diffusion of high-melting-point Ta ions and Ti ions to form a homogenized microstructure, and finally obtaining a Ti-Ta alloy with uniform microstructure.

The invention discloses a deep learning-based collaborative dual-path microstructure estimation method and system, and relates to the technical field of medical image processing. The objective of the invention is to solve the problems that an existing microstructure estimation method based on deep learning has defects in a modeling mechanism, especially lacks an effective information transmission mechanism between an x space and a q space, resulting in insufficient structure expression ability of a model, low estimation precision and the like. According to the technical key points, a collaborative double-path hybrid neural network is designed to enhance feature expression in a heterogeneous domain. By embedding a three-dimensional x space into q space representation, context information of voxels in the x space is considered, so that compatible learning among heterogeneous domains is realized; meanwhile, the qx learning branch transmits angle information of the q space back to the x space, and the feature expression ability of the x space is further improved. And finally, the fusion module based on the attention mechanism further enhances the robustness of the model by adaptively weighting the output of the double paths. A large number of experiments based on HCP data show that the quality of the microstructure index diagram is remarkably improved.

The invention provides a digital twin system-oriented BIM model iterative updating method, which comprises the following steps of: quickly associating project BIM components with a BIM component structure tree in batches through a coding system, and recombining the organization structure of the whole project BIM components; independently exporting the BIM lightweight model carrying version information and the BIM component structure tree from a BIM modeling software platform and implanting the BIM lightweight model and the BIM component structure tree into a digital twin system, so that the project BIM model can be quickly browsed in the digital twin system, and computer automatic comparison of different versions of BIM component structure trees can be realized in the digital twin system; and maintenance personnel of the digital twinning system can conveniently update the service association information in time. According to the method, a foundation is laid for digital twinning application of the digital twinning system, the application value of the digital twinning system is realized, and the working efficiency is also greatly improved.

The invention relates to the technical field of informatization system management, and particularly provides a multi-unit collaborative management method and system based on role permission, and the method comprises the steps: responding to a task starting request, and transferring a process template corresponding to a task; the process template is configured with process nodes, trigger conditions, task processing permissions and node permission binding for different hierarchical organizations of a plurality of units, the different hierarchical organizations of the plurality of units are created in the organization structure modeling module, and a corresponding relation between the units and projects is established; executing the task based on a process template; and when the flow template is triggered to a collaborative task, dynamically combining responsibility roles from different units based on a configuration rule to form a virtual joint role, and endowing the virtual joint role with a permission combination matched with the collaborative task. According to the method, through permission control refinement and collaboration process standardization, permission control precision and system operation compliance required in multi-unit collaboration in the capital construction period of electric power construction are realized.

A tubular tissue transformer (TTT) for tubular tissue structures. The tubular tissue transformer has a plurality of blades and a plurality of retainers on each of the plurality of blades. Each retainer retains a tubular tissue structure on a respective blade. A coupling system for coupling tubular tissue structures together and tools and methods for attaching and widening tubular tissue structures are also provided.

The invention relates to the technical field of electric data processing, in particular to a data processing method for a specimen digital management platform. The method comprises the following steps: performing multi-scale tuck decomposition on a third-order data tensor to obtain a low-rank component representing an organization structure, and taking the low-rank component as a corrected image; extracting a semantic vector of the unstructured clinical text by using a preset bidirectional long-short-term memory network; inputting the graph embedding vector, the topological feature vector and the semantic vector into a multi-modal fusion network, and calculating through a hash function to obtain a unified multi-modal index code; and packaging the identifier of the corrected image, the image embedding vector, the semantic vector, the multi-modal index code and the specimen metadata into a structured data entity. The method and the device have the effect of facilitating accurate analysis of the data.

Aspects of the present invention relate to a microphysiological device including a first component having a frame having at least one opening passing through the frame forming a first interior region, wherein the first interior region comprises a tissue construct, a second component having a frame having at least a first opening passing through the frame forming a second interior region, a holder having a frame having at least one opening passing through the frame forming a third interior region, and a membrane positioned across the opening including at least one a cellular monolayer layered thereon, wherein the holder is removably positioned within the second interior region of the second component, and the first component and second component are fixedly and removably attached thereby fluidly connecting the first, second, and third interior regions.

41 ABSTRACT A method of genera ng a perfusable structure for cell and / or ssue cul va on is provided, the method comprising the steps of: providing a crosslinkable composi on (20), providing a sacrificial scaffold (10) separately from the crosslinkable composi on (20), wherein the sacrificial scaffold (10) comprises a matrix polymer and a crosslinking ini ator for ini a ng crosslinking of the crosslinkable composi on (20), wherein the matrix polymer is configured for releasing the crosslinking ini ator when the sacrificial scaffold (10) is in contact with the crosslinkable composi on (20), a er separately providing the sacrificial scaffold (10), embedding the sacrificial scaffold (10) in the crosslinkable composi on (20) such that the sacrificial scaffold (10) comes into contact with the crosslinkable composi on (20), and releasing the crosslinking ini ator from the matrix polymer into the crosslinkable composi on (20) to crosslink a layer (22) of the crosslinkable composi on around the sacrificial scaffold (10), the crosslinked layer (22) forming at least one channel (28). Figure 3A

The present application belongs to the technical field of material detection and computer vision, and particularly relates to an austenitic stainless steel metallographic image synthesis dataset construction method based on structure constraint, which is used to solve the problems of insufficient dataset scale, difficult labeling and lack of structural rationality of generated images in the prior art. The present application comprises the following steps: parameter setting; generating grain seed points, constructing distance potential field and superimposing low-frequency random disturbance, and dividing to obtain grain area division results; extracting the boundary between adjacent grain areas as grain boundaries; embedding tissue characteristics in the grain area; generating precipitates in the grain boundary area and its neighborhood; generating multi-class semantic mask images; converting the multi-class semantic mask images into metallographic images; and constructing a dataset for deep learning training. The present application can realize one-to-one correspondence between images and labels under the premise of ensuring the rationality of tissue structure and topological consistency, and is suitable for data generation of metallographic image analysis tasks.