49 results about "Tissue level" patented technology

The invention relates to an image segmentation method for a burn wound area, and the method comprises the steps: collecting burn wound images under different spectrums through a multispectral imaging device, and enabling the burn wound images to comprise a plurality of wavebands, namely visible light, infrared light and ultraviolet light; for each spectral image, analyzing reflection and absorption characteristics of a burn area under different wavebands by using optical characteristics of biological tissues, and marking a potential burn area; designing a self-adaptive algorithm, and dynamically adjusting parameters, including exposure and light intensity, of imaging equipment based on feedback of different spectral characteristics; the feature contrast of the burn area is enhanced; preliminarily delimiting the boundary of the burn region according to the enhanced spectral image through a threshold segmentation or region growing algorithm; inputting the multispectral image into a hierarchical processing model, and decomposing different tissue levels of the burn area including epidermis and dermis based on different wave band or color information; on each layering result, a feature extraction algorithm including texture analysis and edge detection is used for extracting detail features of each layer.

The invention relates to the technical field of medical simulation training, in particular to an anesthesia puncture virtual simulation operation training and analysis system which comprises a force feedback calibration unit, a force feedback adjustment unit and a force feedback output unit. A theoretical force feedback value is calculated based on a human tissue mechanical model library, tissue levels and characteristics are accurately considered, in a deviation correction link, a force perception deviation value is periodically recalculated, data are processed by applying a sliding window averaging method, overall deviation and local deviation are distinguished and correspondingly adjusted, and the overall deviation is uniformly corrected; functional fine adjustment is locally set according to puncture depth sections, time-dependent force feedback of tissue viscoelasticity is considered, components are calculated through convolution integral and synthesized into final values with elasticity and inertia components, force feedback accuracy is improved comprehensively, individual differences and operation details of trainees are fitted, and anesthesia puncture training quality and effect are improved efficiently.

The invention relates to the technical field of biological detection, and discloses an in-situ detection method for the tissue level of a protein and phosphoinositide compound, which comprises the following steps: providing a to-be-detected tissue sample containing the protein and phosphoinositide compound; incubating the sample to be detected by using a primary antibody mixture; incubating a product obtained in the previous step by using a second antibody mixture containing a PLA probe, and reacting to obtain circular DNA (Deoxyribose Nucleic Acid); carrying out in-situ amplification by taking the circular DNA as a template; and acquiring and analyzing a signal of the detection probe. According to the method, the interaction between the protein and the phosphoinositide compound can be specifically detected in situ at the tissue level, the actual state of the protein and the phosphoinositide compound in the physiological and pathological processes of cells can be more truly reflected by the technology, and more accurate information is provided for researching the function and regulation mechanism of the protein and the phosphoinositide compound; wide application prospects are realized.

The invention provides a digital breeding-oriented Chinese cabbage leaf cell automatic segmentation and phenotype measurement system and method, and relates to the technical field of plant phenotype analysis. According to the system, joint coding of cell contours and tissue semantics is achieved through a feature extraction sub-network, scale alignment, global feature convergence and feature re-calibration, and pixel-level cell instance masks and tissue categories are output at the same time through mask decoding and category decoding. In combination with multi-tissue phenotypic parameter classification, in-tissue phenotypic index summarization and structured output, cell-level and tissue-level automatic quantitative analysis of upper epidermis, lower epidermis, fence tissues, sponge tissues, vascular bundles and the like is realized, and the efficiency and precision of multi-tissue cell screening and phenotypic statistics are remarkably improved. The method solves the problems that in the prior art, high-precision automatic segmentation and systematic phenotypic measurement for multi-tissue cells of the cross section of the Chinese cabbage leaf are insufficient, and digital breeding decision making is difficult to directly serve.

The invention relates to the technical field of medical image processing, and discloses a digestive enteritis pathological section image adaptive feature processing method. The method comprises the following steps: constructing a multi-scale feature analysis model based on histological features of a digestive enteritis pathological section to extract texture features and morphological features of different tissue levels in the pathological section; then constructing an adaptive feature optimization strategy, and dynamically adjusting feature selection parameters according to feature data output by the multi-scale feature analysis model; then performing joint operation on the multi-scale feature analysis model and the adaptive feature optimization strategy according to the selected pathological section sample type to obtain an optimized feature data set; and finally, according to the optimized feature data set, establishing feature representation of the digestive enteritis pathological section image. The method can comprehensively extract pathological features, dynamically optimize feature selection parameters, improve feature data set quality and feature characterization accuracy, adapt to different sample types and meet pathological analysis requirements.

The invention discloses a puncture tissue recognition and transmembrane event control method and system based on force sense and image fusion, and the method comprises the steps: collecting a force signal at the tail end of a puncture needle, a real-time ultrasonic image sequence and the pose data of a mechanical arm, and carrying out the timestamp alignment to construct a synchronous data set; on the basis, tissue stiffness, a force change rate, extreme value features, texture features, envelope boundary features and optical flow displacement features are extracted, the tissue level where the puncture needle is located is recognized through multi-modal fusion, and a membrane penetrating event is detected in combination with the force sense extreme value features and envelope boundary fracture; according to the tissue level and the transmembrane event, event driving control strategies such as constant-speed propulsion, deceleration early warning, rotation assistance, transmembrane braking and path compensation are automatically triggered, so that the puncture process is accurately regulated and controlled. The accuracy of puncture tissue recognition and the reliability of transmembrane event judgment can be remarkably improved, and the safety and stability of puncture operation are improved.

Provided herein are probes, methods, and kits for detecting target molecules at single cell or tissue levels, for example in multiplex ways.

The invention relates to the technical field of microorganism single-cell sequencing, in particular to a single-cell tissue in-situ sequencing method based on a Raman spectrum sorting technology. According to the method, position information of microbial single cells in tissues is reserved through tissue slices, the microbial single cells of the tissues in the slices are identified and sorted based on Raman spectra, required target single cells are obtained, labeling is performed without depending on a probe and the like, and therefore in-situ detection of the single-cell tissue level is achieved. And obtaining single-cell genome and single-cell transcriptome information. The required tissue slice does not need the steps of enzyme penetration, digestion, marking and the like, the microbial form is directly observed under a microscope, Raman sorting is carried out, and the operation is simple; by combining cell morphology and spectrum comparison, tissue microorganism single cells are accurately sorted, species are identified through transcriptome analysis, and microorganism single cell level gene transcription changes in the host-microorganism interaction process can be revealed.

The composition is prepared from humifuse euphorbia herb, exocarpium benincasae, herba asari, radix platycodonis, radix sophorae flavescentis, radix rehmanniae, leech, lumbricus, radix salviae miltiorrhizae, semen pharbitidis and radix glycyrrhizae, all the raw materials are natural medicinal raw materials, and chemical synthesis anti-hepatic fibrosis components are not contained. Through the synergistic effect of multiple components, the composition inhibits the liver fibrosis process at the molecule, cell and tissue levels, improves the liver structure and function, and can be used for preparing drugs for treating liver fibrosis caused by various causes. The invention has the advantages of naturalness, safety, multiple targets and integral regulation, and is suitable for long-term intervention of chronic liver diseases.

The invention provides a spatial omics device and method based on laser ejection sorting-sequencing, and the spatial omics device comprises a laser control module, a beam shaping module, a sorting receiving motion control module, a fluorescence microscopic imaging module and a program control unit. Target cell subgroups or single cells with different sizes are sorted from animal and plant tissues with various thicknesses and different types, and high-throughput and low-damage sorting is realized; according to the present invention, the separation of small to single-cell regions of interest (ROI) from cells, the high-throughput selective separation of ROI for stained tissues, and barcode labeling are achieved, full-length gene data of single base resolution are obtained, sequencing is associated with spatial and staining information, and high-resolution spatial information on the cell and tissue levels is provided.

The invention discloses a specific anti-ITSN1-S-K1068 lysine lactylated antibody and a preparation method and application thereof.The preparation method comprises the following steps that 1, ITSN1-S-K1068 lactylated polypeptide is connected to an immune carrier in a sulfydryl coupling mode, a polypeptide antigen is obtained, the polypeptide antigen is mixed with a Freund's complete adjuvant and a Freund's incomplete adjuvant respectively, and an immune carrier is obtained; emulsifying to obtain water-in-oil liquid drops; and step 2, carrying out animal immunization by using the water-in-oil liquid drops, and carrying out separation from the immunized animal to obtain the specific anti-ITSN1-S-K1068 lysine lactylated antibody. The antibody provided by the invention can specifically detect the lactic acid modification condition of the human ITSN1-S protein from cell and tissue levels in practical application, is beneficial to discussing the action mechanism of post-translational modification of the ITSN1-S protein in the processes of tumor proliferation, migration and the like, and provides a potential action target for clinical diagnosis and treatment of tumor diseases.

The invention discloses a breast surgery virtual reality simulation method, and belongs to the technical field of medicine. According to the method, the problem that an existing breast surgery simulation method is lack of reality and interactivity is solved, breast surgery data and medical image data required by a breast surgery are collected, and a breast surgery three-dimensional virtual model containing multiple tissue levels such as skin, fat and muscles is constructed according to the collected data; according to the method, a virtual model is established, factors such as an operation area, operation instruments and the surrounding environment are considered, so that a virtual operation scene containing the factors is created, a doctor can perform mammary gland operation by utilizing interaction between the doctor and the virtual model through a virtual reality platform, and behavior data of the doctor are collected in real time; in this way, the three-dimensional virtual model is optimized, the operation effect is improved, the virtual reality platform can output the operation result in the form of videos or pictures or the like, and a more visual reference basis is provided for doctors and patients.

The application discloses a kind of for ultrasound-guided peripheral nerve block anesthesia directional puncture tool in the field of medical auxiliary instrument, including carrier, hovering mechanism and control unit;Acquisition mechanism is provided in carrier, and one side of acquisition mechanism is provided with adjusting mechanism, and anesthesia injection mechanism is provided on adjusting mechanism;Resistance sensing mechanism and locking mechanism are provided in anesthesia injection mechanism, resistance sensing mechanism is used to real-time acquisition resistance that anesthesia injection mechanism is received during puncture process, locking mechanism is used to limit the advance of anesthesia injection mechanism;Control unit is used to compare resistance with preset resistance threshold value, based on comparison result, the operation of locking mechanism is controlled;And based on ultrasound image, the travel of anesthesia injection mechanism is identified, the tissue level that current anesthesia injection mechanism is located is judged, and preset resistance threshold value is adjusted to match current tissue level.The application can improve the safety of puncture, reduce the risk of mispuncture.

The invention discloses a PARP inhibitor sensitivity prediction method based on a specific cell cluster and application. The method comprises the following steps: acquiring an ovarian cancer tumor tissue sample of a subject; detecting whether a specific cell cluster exists in the sample or not, and determining the abundance of the specific cell cluster, wherein the specific cell cluster comprises an IFN epithelial cell cluster CN12 taking an IFN tumor cell as a center and / or a TAM enrichment cluster CN29 taking an M2 type tumor related macrophage as a center; according to the detection result, predicting according to at least one of the following rules: if the CN12 abundance before treatment is greater than 0.8%, the CN29 abundance before treatment is greater than 32.7%, the CN12 abundance after treatment is greater than 0.009%, the CN29 abundance after treatment is greater than 2.9%, or the SPP1 cell density before treatment is greater than 1.7%, predicting that the drug resistance is not sensitive or easily generated. The prediction model is established from a cell cluster space tissue level, and the method has the advantages of high prediction accuracy, flexible sample requirements, high operability and the like.

The invention discloses an adjusting device for an ultrasonic probe puncture frame, which comprises an ultrasonic probe, a three-section channel mechanism and an angle adjusting mechanism, the three-section type channel mechanism is arranged beside the ultrasonic detection head; the three-section type channel mechanism comprises a first protection plate, a second protection plate and a sliding resistance block, the sliding resistance block is in a sliding state in the three-section type channel mechanism, and the borne resistance is stably increased; the first protection plate is arranged on the side of the ultrasonic detection head, and the first protection plate is of a semicircular structure; the second protection plate is arranged beside the first protection plate, and the first protection plate and the second protection plate are in butt joint to form a three-section type channel, and the device solves the problems that a traditional puncture frame is unclear in resistance feedback and lack of layering sense, and the needle inserting depth and the tissue level are judged according to the experience of doctors; the effects that the puncture needle is accurately prompted to enter different tissue areas, the puncture risk is reduced, and the operation accuracy and safety are improved are achieved.

The invention belongs to the technical field of micro-fluidic chips, and provides a micro-fluidic lung chip for simulating child lung physiological characteristics, and particularly aims at simulating specific respiratory frequencies of children at different growth stages, simulating a tissue barrier interface of pulmonary epithelium and endothelium, and simulating a fluid microenvironment. The micro-fluidic chip is mainly composed of two layers of micro-channels, the channels are separated by a polydimethylsiloxane porous membrane, two sides of each channel are respectively provided with a vacuum cavity, each layer of channel is provided with an inlet and an outlet, and a dynamic environment is formed through fluid. Lung epithelial cells and endothelial cells are respectively inoculated in the upper channel and the lower channel on the chip to form an alveolar-capillary interface on the chip. By applying negative pressure to the vacuum cavity, the respiratory frequencies of children in different growth stages are simulated. The invention provides a multi-factor participated tissue level research system for children lung diseases and children medicine research.

The invention belongs to the technical field of bioengineering and analytical chemistry, and provides a probe eZinCh-2 modified plasmid based on FRET (Fluorescence Resonance Energy Transfer) and application of the probe eZinCh-2 modified plasmid in zinc ion detection. According to the invention, the plasmid is constructed through molecular cloning and homologous recombination technologies, and is microinjected into a zebrafish embryo, so that a transgenic strain capable of stably inheriting and expressing the probe protein is successfully obtained; as a living body biological tool, the zebrafish of the strain is combined with a confocal microscope spectrum FRET technology, and real-time and quantitative monitoring and visual imaging of dynamic changes of zinc ions at living body, cell and tissue levels are achieved. The method solves the problem that real-time dynamic visual monitoring of the zinc ions cannot be realized in a living body model in the prior art, and is suitable for real-time microscopic quantitative analysis of the content of the zinc ions in model organisms such as zebra fish and the like.

A method is provided for predicting a disease outcome using a machine learning model that generates training data for training the machine learning model useful for implementing a cellular disease model.SOLUTION: A method for predicting a disease outcome using a machine learning model includes implementing an ML-enabled cellular disease model to validate an intervention, identifying a patient population likely to be a responder to the intervention, and developing a therapeutic structure activity relationship screen. To generate a cellular disease model, data from human genetic cohorts, the literature, and generic cellular or tissue-level genomic data are combined to elucidate a set of factors (e.g., genetic, environmental, cellular factors) that cause a particular disease. A series of factors are used to manipulate invitro cells to generate training data for training a machine learning model useful for implementing a cellular disease model.SELECTED DRAWING: FIG. 1B

The invention discloses an ultrasonic probe puncture frame fast adjusting structure which comprises an ultrasonic probe and a puncture needle arranged beside the ultrasonic probe and further comprises a three-section type channel mechanism and an angle adjusting mechanism. The three-section type channel mechanism is arranged beside the ultrasonic detection head; the three-section type channel mechanism comprises a first protection plate, a second protection plate and a sliding resistance block. The first protection plate is arranged on the side of the ultrasonic detection head, and the first protection plate is of a semicircular structure; the second protection plate is arranged beside the first protection plate, and the first protection plate and the second protection plate are in butt joint to form a three-section type channel, and the device solves the problems that a traditional puncture frame is unclear in resistance feedback and lack of layering sense, and the needle inserting depth and the tissue level are judged according to the experience of doctors; the effects that the puncture needle is accurately prompted to enter different tissue areas, the puncture risk is reduced, and the operation accuracy and safety are improved are achieved.

The invention provides a system and equipment based on Pan-Kla signal detection. According to the application, Pan-Kla is proved to be remarkably up-regulated on a clinical tissue level for the first time and is related to stage and metastasis of tumors, so that the invention provides a method, a system, equipment and the like for diagnosing the laryngeal squamous cell carcinoma / diagnosing stage of the laryngeal squamous cell carcinoma / diagnosing metastasis of the laryngeal squamous cell carcinoma. The invention provides a feasible path of metabolic modification level biomarkers from laboratory to clinical application, and has large-scale clinical application potential.

The present invention relates to the field of molecular biology, and more particularly to nucleic acid aptamers, derivatives, and applications thereof for detecting TSHR protein. The present invention provides a nucleic acid aptamer for detecting TSHR protein, the nucleotide sequence of which is shown in SEQ NO. 1. The present invention provides a DNA aptamer YC6 with high affinity for TSHR protein, which has been validated at the molecular, cellular, and tissue levels. The present invention discovers that the DNA aptamer YC6 has the ability to recognize and target cells expressing thyrotropin receptors, providing new insights into the diagnosis and treatment of thyroid diseases and thyroid-related eye diseases.

The present invention relates to the technical field of microbial single-cell sequencing and in particular to a single-cell tissue in-situ sequencing method based on Raman spectroscopy sorting technology. The method comprises: preserving the position information of microbial single cells in a tissue by means of tissue sectioning, and identifying and sorting the microbial single cells in the tissue in a section on the basis of Raman spectroscopy to obtain desired target single cells, without relying on labeling with probes and the like, thereby realizing in-situ detection of the single cells at the tissue level and obtaining a single-cell genome and single cell transcriptome information. The microbial morphology of the desired tissue section is directly observed under a microscope and Raman sorting is performed, without the need for steps such as enzyme penetration, digestion, and labeling, and thus, the operation is simple. The microbial single cells in the tissue are precisely sorted by means of the cell morphology and spectral comparison, and the species are identified by means of transcriptome analysis, so that the transcriptional change of genes at the microbial single-cell level during host-microbe interaction can be revealed.

This invention relates to the field of medical image processing technology and discloses an adaptive feature processing method for pathological slide images of gastroenteritis. The method includes constructing a multi-scale feature analysis model based on the histological features of the gastroenteritis pathological slides to extract texture and morphological features at different tissue levels in the pathological slides; then constructing an adaptive feature optimization strategy to dynamically adjust feature selection parameters based on the feature data output by the multi-scale feature analysis model; next, performing joint calculations on the multi-scale feature analysis model and the adaptive feature optimization strategy according to the selected pathological slide sample type to obtain an optimized feature dataset; finally, establishing a feature representation of the gastroenteritis pathological slide image based on the optimized feature dataset. This method can comprehensively extract pathological features, dynamically optimize feature selection parameters, improve the quality of the feature dataset and the accuracy of feature representation, adapt to different sample types, and meet the needs of pathological analysis.

The invention discloses a DLL1 antibody which comprises three different scFv sequences, and each scFv sequence correspondingly comprises one of a 3P53 sequence, a 3P47 sequence or a 4P108 sequence; 3P53-IgG, 3P47-IgG and 4P108-IgG antibodies having high affinity with human and mouse DLL1 are constructed by using VH and VL sequences derived from 3P53, 3P47 and 4P108 sequences correspondingly contained in different scFv sequences, and the antibodies can recognize human and mouse DLL1 protein molecules, DLL1 expressed by cell membranes and DLL1 expressed by tissues, can be used for ELISA, WB, IHC and other detection methods, and can be used for detecting human and mouse DLL1 protein molecules, cell membrane expression DLL1 and tissue expression DLL1. Therefore, the DLL1 has a better application prospect in the aspect of detecting molecule, cell and tissue levels.

The invention relates to a gallbladder triangular identification and labeling method in a laparoscopic surgery, which comprises the following steps of: fusing a standard surgical field image with light source angle change data in a micro-operation process of an operator so as to enhance a tissue level separation contrast ratio; dynamic textures including gallbladder venation pulsation and liver surface breathing rhythm in the intraoperative image are extracted to serve as spatial reference marks, and anatomical boundary reduction is assisted; through time sequence image difference calculation, a regional saliency heat map is established frame by frame, so that the distinction degree of a gallbladder triangular region relative to surrounding tissues is displayed; an anatomical deformation track and a boundary transfer function are established, and the direction and angle of the gall bladder traction operation of the operator are associated with the local tissue deformation trend; identifying the variation trend of the included angle between the gallbladder duct and the common bile duct in the continuous frames, and reasoning the formation rule of the triangular closed boundary; the gallbladder triangle is divided into a plurality of structure segments including an included angle between a gallbladder duct and a common bile duct and a gallbladder artery intersection; and independently evaluating the identification confidence of each fragment.

The present invention discloses a lysate for animal tissue and a method for using the same in CUT&Tag. The present invention relates to the fields of biotechnology and epigenetic technology, and specifically provides a lysate suitable for animal tissue and a method for using the same in CUT&Tag. The lysate contains an appropriate amount of mild non-ionic detergent NP40 (or CA630) and Triton X-100, which can efficiently lyse tissue clumps while ensuring the integrity of cell nuclei, promote the rapid release of cell nuclei, and thereby obtain cell nuclei suitable for the construction of tissue CUT&Tag libraries. This makes it possible to implement CUT&Tag technology at the animal tissue level, and has great application advantages and high commercial value in the field of epigenetic technology research.

The invention relates to an oral nano traditional Chinese medicine antigen delivery system as well as a construction method and application thereof, and belongs to the technical field of oral nano materials. The construction method comprises the following steps: (1) preparing an OM nanoparticle suspension; (2) preparing a cationic liposome suspension; (3) preparing an OM / BF loaded cationic liposome suspension; and (4) constructing an oral nano traditional Chinese medicine antigen delivery system. According to the invention, multiple barriers of gastrointestinal tracts are broken through, the bioavailability of drugs is improved, precise immune tracking is realized through an OVA tumor antigen model, and in-vivo anti-tumor CTL reaction is simulated, so that an anti-tumor effect is synergistically exerted on three levels of a cell level, a tissue level and an immune level; according to the preparation method, the problems of poor water solubility and low delivery efficiency of bufalin serving as a traditional Chinese medicine active ingredient are effectively solved, meanwhile, through macrophage-mediated immunoregulation and accurate drug release, the targeting property and the treatment efficiency are improved, and a new way is opened up for tumor immunotherapy of oral nano traditional Chinese medicines.

Embodiments of the present disclosure include implementing an ML-supporting cellular disease model for validating an intervention, identifying patient populations that are likely responders to the intervention, and developing a therapeutic structure-function relationship screen. To generate a cellular disease model, data from human genetic queues, documents, and generic cell or tissue level genomic data are combined to reveal a set of factors causing a particular disease (e.g., genetic, environmental, cellular factors). In vitro cells are engineered using a set of factors to generate training data for training a machine learning model that can be used to implement a cellular disease model.

The invention discloses a preparation method and application of a Muscovy duck MAPK1 protein polyclonal antibody, and belongs to the technical field of biology. According to the invention, DNAStar software, AI-assisted protein three-dimensional structure prediction and other bioinformatics methods are adopted to accurately determine the 4th-364th amino acids of MAPK1 as immunogens, and protein expression, purification and antibody preparation methods are optimized to obtain the preparation method: expressing an MAPK1 recombinant protein with an amino acid sequence of SEQ ID NO.2, and immunizing a rabbit with the recombinant protein to obtain the Muscovy duck MAPK1 protein polyclonal antibody. The titer of the obtained polyclonal antibody can reach 1: 102400, and the polyclonal antibody has the advantages of high recognition efficiency and strong specificity. The MAPK1 polyclonal antibody prepared in the invention has high targeting recognition capability at the tissue level, can be used for immunofluorescence visualization research of Muscovy duck ovarian tissue protein expression, and provides key technical support for subsequent function exploration of MAPK1 in follicular development and reproduction regulation.

This invention discloses a method for constructing a lupus susceptibility animal model and its application. This application is the first to propose using MTCH2 knockout to construct a lupus animal model, building the model at multiple tissue levels (systemic knockout and B cell-specific knockout). Using this model, a series of functions of lupus B cells, including apoptosis, activation, mitochondrial membrane potential difference, oxidative stress, oxidative phosphorylation, and antibody production, are investigated in depth. This verifies the important role of the MTCH2 molecule in the progression of lupus disease and provides new insights for the study of the disease mechanism of lupus and the screening of therapeutic drugs.