61 results about "Tissue Model" patented technology

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.

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 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.

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.

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.

The present invention relates to a method of generating an in vitro modular 3D brain tissue model (3D BTM) comprising: a. mixing 50,000 to 1,000,000 freshly splitted, single neurons (NE) and astrocytes (AS) or their precursor cells in a ratio of NE:AS = 1:3 to 10:1, followed by spinning down to introduce self-aggregation in low attachment conditions, without addition of exogenous matrices; b. treating cells obtained in step a. with a NOTCH signaling inhibitor for driving terminal neuron differentiation for at least 2 days; c. treating the cells obtained in step b. with at least one mitotic inhibitor to remove residual dividing cells for at least 3 days, thereby yielding a post-mitotic aggregated 3D culture of neurons and astrocytes; d. adding differentiated microglia (MG) to the culture obtained in step c. in a ratio of NE:MG = 1:1 to 20:1, to initiate migration of MG into the culture for 3-10 days; e. culturing the culture obtained in step d. in neuron media with addition of TGFβ1 and cytokines selected from the group comprising CSF1-R agonists to support microglia maintenance and proliferation for at least 2 weeks, thereby inducing formation of a modular in vitro 3D BTM culture.

A system configured to generate digital tissue models includes a database. The system is configured to, for each object of a plurality of objects, vary object parameters and thus generate parameter variations and to generate object variations, and store data relating to the parameter variations in the database. The system is further configured to generate a plurality of digital tissue models, wherein generating each digital tissue model comprises combining object variations of different objects.

This invention discloses a surgical system and a decompression system. [Solution] The surgical system includes a surgical navigation module, a robotic arm, surgical tools, a sleeve tube mirror, multiple detection markers, a navigation image capture device, and a display device. The surgical tools have force sensors and are capable of measuring current applied force data. The display device is used by the user to plan the surgical route and also displays a patient tissue model, the planned surgical route, and images of the surgical site captured by the camera. During the system operation process, the surgical navigation module determines the driving method of the robotic arm based on the current applied force vector, the sleeve tube mirror axis vector, and the planned surgical route, so that it moves along the planned surgical route when the user operates the surgical tools.

The invention discloses a force sensing and feedback method and device for simulating urinary surgery and a medium, and relates to the technical field of surgery simulation. The method comprises the following steps: collecting interaction force data between a surgical instrument and a tissue model in real time through a micro force sensor integrated at the tail end of the surgical instrument; filtering the interaction force data, and extracting a three-dimensional force vector acting on the tail end of the surgical instrument; converting the three-dimensional force vector into a corresponding visual feedback parameter according to a predefined mechanical and visual mapping model; and adjusting and rendering an endoscope video stream according to the visual feedback parameters, outputting the rendered video stream to a display screen, and providing visual feedback representing operation strength for an operator. By means of the method, force sense training is achieved, an operator can observe the mechanical influence of self operation on the tissue in real time, and therefore the ability of the operator to finely control the operation force and pre-judge and avoid tissue damage is efficiently trained.

To enable an operator to more suitably grasp which cross section of which tissue of a subject a displayed ultrasonic tomographic image represents.SOLUTION: The image forming unit 34 forms an ultrasonic tomographic image 60 representing a cross section of the target tissue based on a reception signal obtained by causing the ultrasonic probe 14 to transmit and receive ultrasonic waves to and from the target tissue of the subject E. The probe detection unit 50 detects the position and orientation of the ultrasonic probe 14. The model forming unit 54 forms a target tissue model 70 representing the shape of the target tissue based on the volume data 46 representing the target tissue formed from the reception signal based on the reflected wave from the target tissue of the subject E. The display control unit 36 displays, on the display 38, a body mark 64 as a subject symbol that schematically expresses the outer shape of the subject E, a probe mark 66 as a probe symbol that expresses the position and orientation of the ultrasonic probe 14, and a target tissue model 70 superimposed on the body mark 64.SELECTED DRAWING: Figure 3

A surgical simulator for surgical training is provided. The simulator includes a frame defining an enclosure and a simulated tissue model located inside the frame. The simulated tissue model is adapted for practicing a number of surgical procedures including but not limited to transanal excisions and transvaginal hysterectomies. Portions of the frame comprises a material adhesively compatible with the material of portions of the simulated tissue model to secure and suspend the simulated tissue model within the frame. The simulated tissue model may also include simulated vasculature configured to loop through apertures in the frame to secure and suspend the simulated tissue model within the frame.

The invention provides a layered biological tissue sound velocity estimation method based on a common midpoint gather, and belongs to the technical field of ultrasonic medical detection.The method comprises the steps that a layered biological tissue model is built according to parameters of biological tissue, a plurality of ultrasonic phased array elements are symmetrically distributed on the layered biological tissue model, and original echo data are collected; based on a common midpoint gather technology, symmetric signals corresponding to each ultrasonic phased array element are extracted from the original echo signals; the method comprises the following steps: introducing an interlayer refraction effect of a layered biological tissue model into sound velocity estimation of layered biological tissues through a Snell law, determining time delay corresponding to an ultrasonic phased array element, performing time translation on symmetric signals based on the time delay, and calculating coherence factors of aligned signals, so as to estimate the sound velocity of the layered biological tissues; and the coherence factors of the aligned signals are normalized, and the estimated sound velocity of each layer of biological tissue model is determined through the normalized coherence factors, so that the estimation error is reduced, and the accuracy of the sound velocity estimation of the layered biological tissue is improved.

Disclosed are methods of assessing the ability of a candidate therapeutic agent to reverse, reduce or prevent intestinal injury by a potential toxic agent using a three-dimensional, engineered, bioprinted, biological intestinal tissue model. Also disclosed are methods of assessing the effect of an agent on intestinal function, the method comprising contacting the agent with a three-dimensional, engineered, bioprinted, biological intestinal tissue model.

This application discloses a surgical system and a decompression system. The surgical system includes a surgical navigation module, a robotic arm, surgical instruments, a telescope, multiple detection markers, a navigation image capture device, and a display device. The surgical instruments have force sensors that can measure current applied force data. The display device is used for the user to plan a predetermined surgical path and displays a tissue model of the patient, the predetermined surgical path, and images of the surgical site acquired by the camera lens. In the system operation procedure, the surgical navigation module determines the driving mode of the robotic arm based on the current applied force vector, the telescope axis vector, and the predetermined surgical path, so that the user moves the surgical instruments along the predetermined surgical path.

To provide an operator with a recommended puncture route which is a route to be passed by a puncture needle from the body surface of a subject to a puncture object while avoiding an avoidance tissue to be avoided by the puncture needle.SOLUTION: A volume data acquisition part 52 acquires volume data 46 including the puncture object and the avoidance tissue. The model forming unit 54 forms a subject model 70, which is a three dimensional model including a puncture object model and an avoidance tissue model, based on the volume data 46. The puncture route specifying unit 56 specifies, in the subject model 70, a recommended puncture route 72 through which the puncture needle 18 should pass from the body surface position of the subject E to the puncture target model while avoiding the avoidance tissue model. The display control unit 36 notifies the operator of the specified recommended puncture route 72.SELECTED DRAWING: Figure 3

[Problem] To provide amyloid β accumulation model cells. [Solution] A neurodegenerative disease model tissue and model animal, comprising brain cells derived from a non-human animal in which all or a part of a liver is replaced with human liver cells.

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.