107 results about "Tissue Model" patented technology

Systems and methods are disclosed for creating an interactive tool for determining and displaying a functional relationship between a vascular network and an associated perfused tissue. One method includes receiving a patient-specific vascular model of a patient's anatomy, including at least one vessel of the patient; receiving a patient-specific tissue model, including a tissue region associated with the at least one vessel of the patient; receiving a selected area of the vascular model or a selected area of the tissue model; and generating a display of a region of the tissue model corresponding to the selected area of the vascular model or a display of a portion of the vascular model corresponding to the selected area of the tissue model, respectively.

A method of diagnosing a condition of bodily tissue using a computer, the method comprising comparing, using a computer, a 3D tissue model derived from an ultrasound scan of the bodily tissue with at least one 3D tissue model having common tissue with the bodily tissue, and diagnosing a condition of the bodily tissue responsive to comparing the 3D tissue models.

Systems and methods are disclosed for using patient-specific anatomical models and physiological parameters to predict viability of a target tissue or vessel to guide diagnosis or treatment of cardiovascular disease. One method includes: receiving a patient-specific vessel model and a patient-specific tissue model of a patient anatomy; receiving one or more patient-specific physiological parameters (e.g. blood flow, anatomical characteristics, etc.) for one or more physiological states; estimating a viability characteristic of the patient-specific tissue or vessel model (e.g., via a trained machine learning algorithm), using the patient-specific physiological parameters; and outputting the viability characteristic to an electronic storage medium or display.

A heart organoid of at least 60% cardiac cells irrespective of optional additional cells of a vascular system of the organoid, or including at least 50% cardiac cells; wherein the cardiac cells surround an inner cavity, wherein the cardiac cells are selected from the group of cardiomyocytes, endocardial cells and epicardial cells, and wherein the heart organoid includes cardiomyocytes or endocardial cells that directly face the inner cavity, a method for the generation of such a tissue model and uses thereof.

The present invention relates to a method for producing a skin tissue model, comprising: (a) isolating and culturing fibroblasts and keratinocytes from skin tissue; (b) preparing a bioink composition for a dermal layer and a bioink composition for an epidermal layer, the bioink composition containing the isolated cells; and (c) producing a skin tissue model using the bioink composition for a dermal layer and the bioink composition for an epidermal layer.

The invention relates to a system for storing or cultivating organ or tissue models and its use. The system is designed for verifying the functionality of the harvested organ or tissue models and allowing them to be processed. The system can be used for cultivating organ and / or tissue models harvested from donors and / or prepared using other techniques, such as using 3D and / or 4D bioprinting or electrospinning techniques, and comprises a chamber (2) for the organ or tissue models, which is equipped with means for measuring and adjusting the temperature of the perfusion liquid in the chamber, a perfusion liquid container (1), which is equipped with means for measuring and adjusting the temperature of the perfusion liquid therein, means (4) for measuring the glucose concentration in the perfusion liquid and adding glucose to the perfusion liquid in a metered amount, means (3) for measuring the pH of the perfusion liquid and adding a substance for adjusting the pH of the perfusion liquid in a metered amount, means for non-contact mixing of the perfusion liquid, and means for measuring and controlling the flow parameters of the perfusion liquid.

The present invention relates to a method for functionalizing a biopolymer having an -OH group or an -NH2 group by reacting the biopolymer with at least one compound having at least one C=C bond or C≡C bond and containing a chromophore that absorbs UV-Vis radiation directly adjacent to this bond. The present invention also relates to a method for obtaining a solid biopolymer material by reversibly crosslinking the functionalized biopolymer obtained by the above method under UV-Vis light irradiation. Furthermore, the present invention relates to the use of functionalized biopolymers as support materials for 3D bioprinting, or as materials for manufacturing structures selected from spheroids, organoids, artificial organs, coatings, and tissue models.

The invention provides a thoracic surgery teaching assistance method and system, and the method comprises the steps: constructing a thoracic surgery virtual operation interaction environment based on a digital twin technology, and endowing a virtual thoracic cavity tissue model with initial biomechanical parameters; an operation instruction data sequence of an operator for the virtual surgical instrument is collected in real time through the man-machine interaction interface; based on the operation instruction data sequence, calculating an operation disturbance characteristic index representing the motion dispersion degree of an operator in real time by using a sliding time window algorithm; establishing a dynamic evolution mapping model of an operation disturbance characteristic index and a biomechanical parameter, dynamically correcting an initial biomechanical parameter of the virtual tissue according to the index calculated in real time, and when the index exceeds the standard, controlling the parameter to deviate to an easily damaged state so as to simulate histopathologic change caused by rough operation; and performing physical collision response calculation and three-dimensional picture rendering according to the evolved model. According to the invention, dynamic coupling of operation behaviors and organization characteristics is realized, and the physical reality sense of teaching is improved.

The invention relates to the technical field of medical simulation, in particular to an ablation needle puncture training auxiliary system, and aims to solve the problems of insufficient tactile feedback and low fineness when an existing ablation needle puncture training system simulates a needle tip to penetrate through multiple layers of biological tissues so as to improve the'needle feeling 'cognition and fine operation skills of doctors. The system is characterized by comprising a physical interaction module, a virtual simulation module, a central processing module and a visual presentation module, a high-fidelity virtual tissue model is constructed, real-time multi-mode tactile feedback is combined, and an accurate needle-tissue interaction mechanical simulation and multi-dimensional tactile rendering algorithm is adopted. By the adoption of the technical scheme, the problem of a touch gap is effectively solved, the authenticity and effectiveness of simulation training are improved, and the precision and safety of clinical puncture operation are remarkably improved.

The application discloses a simulation-based respiratory displacement prediction method and device, a surgical robot, and an electronic device. The method comprises the following steps: obtaining a first three-dimensional model of a first object, wherein the first three-dimensional model comprises a first tissue model, and the first tissue model is a model of a first tissue in the first object; determining a first relationship of the first tissue model based on stress characteristics of the first tissue, wherein the first relationship is a relationship between a force received by the first tissue model and a deformation of the first tissue model; obtaining a first simulation force, wherein the first simulation force is used to simulate a respiratory force on the first tissue; and determining a first respiratory displacement of the first tissue based on the first three-dimensional model, the first relationship and the first simulation force, wherein the first respiratory displacement is a displacement generated by respiration of the first object. According to the method provided in the application, the first respiratory displacement of the first tissue can be determined by simulating the movement of the first tissue in the respiration process of the first object, and thus the accuracy of the first respiratory displacement can be improved.

A multi-cell barrier tissue model of a bionic sequential development mechanism has a multi-layer multi-cell structure simulating a physiological barrier, related cells of different barriers are distributed in different layers according to the physiological structure, and the development time and sequence of the cells of different layers are regulated and controlled according to natural barrier multi-cell development physiological characteristics; the multi-cell three-dimensional structure of in-vivo barrier tissue can be simulated, regulation and control of cell development behaviors are achieved by regulating and controlling the matrix environment, and meanwhile, the model has enough overall mechanical support through the soft / hard chimeric structural design so as to adapt to perfusion culture and operation requirements; the model can realize functional bionics of natural barrier tissues at the same time in the spatial structure dimension and the time development dimension so as to realize application in the aspects of disease modeling, drug screening and the like.

The invention belongs to the technical field of image processing, and discloses a hepatobiliary calculus surgery image navigation and positioning system, which is configured to realize non-rigid registration of adaptive multi-stage fusion, dynamically adjust registration weights of surface and deep features according to environmental changes in surgery, and realize image navigation and positioning of the hepatobiliary calculus surgery. It is ensured that a continuous high-precision dynamic three-dimensional model is provided in the whole process; predictive virtual tactile feedback based on biomechanical simulation is realized, and tissue tension perception and damage early warning beyond real tactile sense are provided for doctors by calculating stress and strain of a tissue model in real time; the intelligent quantification of the stone residual risk based on multi-source information fusion is realized, and the stone residual risk is quantified and visualized with high confidence by fusing the surgical operation history and the intraoperative fluorescence function image. According to the invention, a closed-loop navigation platform integrating high-precision environment perception, predictive process control and intelligent result quality control is constructed, and the precision and safety of auxiliary tools for minimally invasive surgery of hepatic duct calculi are improved.

The application discloses a gene editing system for constructing a muscle weakness disease model pig nuclear transfer donor cell with a DOK7 gene mutation and application thereof. The application provides application of DOK7-gRNA2 shown in SEQ ID NO: 16, DOK7-gRNA4 shown in SEQ ID NO: 17 and NCN protein in preparation of a kit. The application further provides a method for preparing a recombinant cell, comprising the following steps: co-transfecting a pig cell with DOK7-gRNA2, DOK7-gRNA4 and NCN protein to obtain a recombinant cell. The recombinant cell is a recombinant cell with a mutated DOK7 gene. The use of any of the above kits is to prepare a recombinant cell, to prepare a muscle weakness model pig, to prepare a muscle weakness cell model, a muscle weakness tissue model or a muscle weakness organ model. The application has great application value for research and development of muscle weakness disease drugs and revealing the pathogenesis of the disease.

The system is designed to verify the functionality and enable handling of excised organ or tissue models, which may be used to culture excised organ or tissue models from donors and / or organ or tissue models made using other techniques such as 3D and / or 4D bioprinting or electrospinning, and comprises a chamber for the organ or tissue model with means for measuring and regulating the temperature of the internal perfusate, a perfusate container with means for measuring and regulating the temperature of the internal perfusate, means for measuring the glucose concentration of the perfusate and administering glucose to the perfusate, means for measuring the pH of the perfusate and administering a substance to adjust the pH of the perfusate, means for non-contact mixing of the perfusate, and means for measuring and controlling flow parameters of the perfusate.

The application discloses a heart soft tissue model correction method and device based on a physical information neural network, and comprises the following steps: acquiring preoperative images to construct a personalized heart biomechanical model and an active motion priori library; constructing a double-flow coupled physical information neural network, which comprises an active deformation prediction branch for predicting heart autonomous beats and a passive residual correction branch for correcting deformations caused by external contact forces; defining a loss function comprising a data matching loss and a biomechanical control equation loss, and training the network; receiving in-surgery collected cardiac phase data and sparse surface displacement data, inputting the data into the trained network, and outputting a global three-dimensional deformation field to update a preoperative three-dimensional model. The application effectively decouples the active and passive mixed deformation of the heart through a double-flow coupled architecture, and can infer the full-field volume deformation by only using sparse surface observation points by embedding physical control equations as strong constraints, thereby overcoming the data sparsity problem.

The present application relates to a boron neutron capture therapy system (100) and a method of operating the same, the boron neutron capture therapy system (100) including a neutron beam irradiation device (10), a treatment planning module (30), and a control module (40), wherein the neutron beam irradiation device (10) generates a neutron beam and irradiates the neutron beam to an irradiated body, the treatment planning module (30) sets a boron concentration for each voxel unit in a three-dimensional voxel prosthetic tissue model to generate a treatment plan, and the control module (40) controls the neutron beam irradiation device (10) to irradiate based on the treatment plan. The treatment planning module (30) sets corresponding boron concentration data for each voxel unit, and then combines it with medical image data to perform dose simulation to formulate a treatment plan, thereby making the distribution of boron atoms in the region of interest more consistent with the actual situation, improving the accuracy of model establishment and dose calculation, and ensuring the accuracy of the treatment plan, thereby guaranteeing the treatment effect.

The invention relates to a method for planning an intraoral treatment for a patient. A three-dimensional digital tissue model of intraoral tissue of the patient's oral cavity comprising maxillary and mandibular tissue is received. A maximum mouth opening value is received. Relative positions of the maxillary and mandibular tissue relative to each other are determined for a maximum mouth opening of the patient using the maximum mouth opening value. Size information of one or more treatment elements selected to be used for executing the intraoral treatment are received. A three-dimensional working space required for arranging and using the one or more selected treatment elements for executing the intraoral treatment is determined using the size information of the one or more selected treatment elements.

A three-dimensional (3D) lymphoid tissue model is provided, the model including a cellularized stromal compartment and a plurality of cellularized compartments including lymphocytes disposed within the stromal compartment; and a controlled fluid perfusion system configured to perfuse the model with a perfusion fluid. Methods of fabricating a 3D lymphoid tissue model and producing antibodies with the 3D lymphoid tissue model are also provided.

This invention discloses a gene editing system for constructing a porcine nuclear transplantation donor cell model of atherosclerosis with double gene mutations in AF and its applications. The invention provides a kit comprising plasmid pKG-U6gRNA (APOE-E2-gRNA2), a target sequence binding region as shown in nucleotides 3-22 of SEQ ID NO: 25 (FBN1-gRNA4), a target sequence binding region as shown in nucleotides 3-22 of SEQ ID NO: 26 (FBN1-gRNA6), and FBN1-mutant-ss163 as shown in SEQ ID NO: 27. The kit is used for: preparing recombinant cells; preparing porcine atherosclerosis models; preparing atherosclerosis cell models, atherosclerosis tissue models, or atherosclerosis organ models. The plasmid pKG-U6gRNA (APOE-E2-gRNA2) is transcribed to obtain sgRNA with a target sequence binding region as shown in nucleotides 1-20 of SEQ ID NO: 11. APOE‑E2‑gRNA2 This invention lays the foundation for developing pig models of atherosclerosis through somatic cell nuclear transfer animal cloning technology.

This invention discloses a gene editing system for constructing porcine nuclear transplantation donor cells for cataract disease models with MIP gene mutations and its applications. This invention provides the application of MIP-gRNA2 (SEQ ID NO: 18), MIP-gRNA3 (SEQ ID NO: 19), and NCN protein in a preparation kit. This invention also provides a method for preparing recombinant cells, comprising the following steps: co-transfecting porcine cells with MIP-gRNA2, MIP-gRNA3, and NCN protein to obtain recombinant cells. The recombinant cells are recombinant cells with a mutated MIP gene. The kits described above are used for: preparing recombinant cells; preparing porcine cataract models; preparing cataract cell models, cataract tissue models, or cataract organ models. This invention has significant application value for the development of cataract drugs and for elucidating the pathogenesis of this disease.

The application belongs to the technical field of organic small-molecule fluorescent probes, and particularly relates to a near-infrared fluorescent probe for simultaneously detecting hydrogen sulfide and viscosity / polarity while targeting mitochondria and application thereof. The near-infrared fluorescent probe MQA-DNP provided by the application has specific response performance to hydrogen sulfide and viscosity / polarity, and can be used as a detection reagent to simultaneously detect changes in hydrogen sulfide and viscosity / polarity in an inflammatory cell model, a fatty liver tissue model and a tumor model, and the detection means is simple and sensitive.

The present invention provides a target tissue model display control device and a recording medium, and the subject is to enable an operator to more appropriately grasp which section of which tissue of a subject is represented by a displayed ultrasonic tomographic image. The image forming unit forms an ultrasonic tomographic image indicating a cross-section of a target tissue of a subject E on the basis of a reception signal obtained by transmitting and receiving ultrasonic waves to and from the target tissue by the ultrasonic probe. The probe detection unit detects the position and orientation of the ultrasonic probe. The model forming unit forms a target tissue model indicating the shape of a target tissue on the basis of volume data indicating the target tissue formed from a reception signal based on a reflected wave of the target tissue from a subject E. The display control unit displays the target tissue model on a display in a manner so that the target tissue model overlaps with a body marker, which is a subject symbol that schematically shows the outer shape of a subject E, a probe marker, which is a probe symbol that shows the position and orientation of an ultrasonic probe, and the body marker.

The application discloses a kit for constructing an ATM gene mutation ataxia-telangiectasia model pig nuclear transfer donor cell. The application provides a kit comprising ATM-gRNA1 shown in SEQ ID NO: 16, ATM-gRNA4 shown in SEQ ID NO: 17 and NCN protein. The application also provides a method for preparing a recombinant cell: co-transfecting a pig cell with ATM-gRNA1, ATM-gRNA4 and NCN protein to obtain a recombinant cell. The recombinant cell is a recombinant cell with ATM gene mutation. The kit is used for: preparing a recombinant cell; preparing an ataxia-telangiectasia model pig; preparing an ataxia-telangiectasia cell model or an ataxia-telangiectasia tissue model or an ataxia-telangiectasia organ model. The application has great application value for research and development of ataxia-telangiectasia drugs and revealing the pathogenesis of the disease.

The present disclosure relates to an ultrasonic diagnostic system and an operation assisting method. A current cross section search section (38) sets a temporary cross section group with respect to a tissue model corresponding to a subject tissue, calculates a similarity between each temporary cross section data and tomographic image data, thereby determining a current cross section corresponding to a scanning plane. An operation assisting information generation section (44) generates operation assisting information based on difference information indicating a spatial relationship between the current cross section and a target cross section (a cross section corresponding to an observation cross section). Based on a camera image, the temporary cross section group set with respect to the tissue model is screened.

The application relates to the field of discrete element modeling, and discloses a modeling method of a multilayer discrete element biological tissue, which comprises the following steps: S1, basic mechanical parameter acquisition; S2, single tissue unit model construction; S3, single tissue bonding parameter calibration; S4, multilayer tissue model assembly and interface definition; S5, interlayer bonding parameter calibration; and S6, complete function model integration. According to the application, the bonding parameters in a single tissue are accurately calibrated by combining a physical damage test with simulation optimization in step 3; and then, the closed-loop process is repeated to accurately calibrate the interface bonding parameters between different tissues for a multilayer structure in step 5. The systematic method of calibration from inside to outside and layer by layer ensures that each component part of the model and the interaction thereof are verified through experiments, so that the finally constructed model can highly reproduce the complex mechanical response of the multilayer biological tissue under a real load.

The present application relates to the technical field of biomedical materials, in particular to a super-elastic hydrogel material, a super-elastic injectable scaffold and a preparation method and application thereof. The super-elastic hydrogel material is obtained by cross-linking a base material with an initiator; the base material comprises GelMA and PEGDA with a molecular weight of 2000-20000; the injectable scaffold comprises a three-dimensional structure scaffold composed of super-elastic material, which can restore the original shape after being compressed and injected. The present application utilizes the excellent mechanical properties and shape memory of super-elastic material to realize solid injection and restore the original shape after injection, thereby providing a new idea and approach for large-size injectable scaffolds. The scaffold of the present application can be used in the fields of tissue engineering and regenerative medicine, minimally invasive injection transplantation, artificial skin, myocardial patch, in-vitro engineered tissue model construction, tissue physiological function remodeling and pathological process mechanism research, mechanical regulation and stress regulation mechanism research, drug development and drug screening, etc.

An in-vitro tissue model for use with a test article includes a tissue sample that includes homogeneous tuna meat having an isotropic thermal response, wherein the tuna meat is characterized by a plurality of visually distinct color states, each color state corresponding to a respective temperature to which the tuna meat has been heated within a range of 43° C. to 60° C., thereby providing a visual indication of the thermal effect of the test article within said range.

The invention discloses a hepatic fibrosis organ chip sensing device for pathological evaluation and drug screening, which belongs to the technical field of microfluidics and comprises a top cover, an upper culture layer, a porous membrane, a lower culture layer and a glass substrate electrochemical electrode. The sensing device is combined with a hepatic fibrosis organ chip and a three-electrode detection system, gel permeability change is detected on the basis of electrochemical cyclic voltammetry, the hepatic fibrosis process is indirectly evaluated, and then in-vitro rapid screening of hepatic fibrosis potential drugs is carried out. The liver fibrosis organ chip sensing device provided by the invention provides a novel and efficient research means for real-time monitoring and quantitative evaluation of a liver fibrosis in-vitro model. The problems that in the prior art, due to the fact that dynamic and cross-scale substance transmission characteristics in a precise quantification three-dimensional tissue model are still limited, microenvironment changes dominated by extracellular matrix reconstruction are difficult to reflect in a non-invasive and in-situ mode, and the hepatic fibrosis process is difficult to detect are solved.

Accurate characterization of brain tissue microstructure using diffusion MRI (dMRI) data relies on optimal scanning protocols. A framework to optimize dMRI protocols for sophisticated multicompartment tissue models is based on the Cramér-Rao lower bound (CRLB). The framework is capable of capturing features like axonal diameter index and multiple fiber orientations in a voxel. The framework can handle any number of model parameters, including water diffusivities, enhancing estimation fidelity. Leveraging automatic differentiation and parallel computing, the framework is capable of systematically exploring the entire parameter space for comprehensive scanning rotocol optimization. By optimizing the data acquisition, this framework can significantly enhance biophysical modeling accuracy in dMRI, thereby deepening understanding of brain tissue properties in health and disease.

The present application relates to neuromodulation and brain-computer interface technical field, propose a kind of robust optimization method and system under the condition of parameter uncertainty, robust optimization method includes constructing five-layer head tissue model including skin, skull, cerebrospinal fluid, grey matter and white matter based on the magnetic resonance image of patient, and the independent conductivity uncertainty radius of each layer of tissue is set, multi-dimensional ellipsoid uncertainty set is constructed;Min-Max worst case cost function is constructed and is solved, guarantee in ellipsoid set under the worst case, electrode current weight meets safety constraint;Worst case cost function is converted into second-order cone programming form using dual principle;Pseudo-trace perception sliding window mechanism is introduced to monitor the continuity of physiological signal or impedance data, when detecting non-physiological mutation, trigger re-optimization by calling historical stable parameters and amplifying uncertainty radius;When re-optimization has no solution, trigger safety derating mechanism, and the current instruction of previous period is scaled proportionally.