28 results about "Tissue level" patented technology

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 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.

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 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 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 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.

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.

The invention provides application of plant-derived miRNA in anti-aging, and belongs to the technical field of biological medicine and functional nucleic acid molecules. The miRNA disclosed by the invention is mul-miRNA-n16 (hereinafter referred to as mmn16) from mulberries, and the nucleotide sequence of the miRNA is shown as SEQ ID No: 1; experiments prove that the mmn16 and the simulant thereof can remarkably reduce the SA-beta-Gal positive proportion, inhibit expression of senescence-related genes such as p16, p21 and p53 and remarkably improve proliferation and migration capabilities of senescence cells in senescence models constructed by HFF-1 and 3T6, so that the mmn16 has a good anti-cell senescence effect; besides, in an animal model, the mmn16 can promote wound healing of skin tissues in the animal model, which prompts that the mmn16 also has anti-aging and functional recovery potentials on the tissue level; the invention fills the technical blank that mmn16 has no application in cell aging resistance, provides a new thought and method for developing plant-derived anti-aging miRNA, and has important medical and social values for the research of intervening the cell aging process.

The invention relates to the technical field of human tissue thickness measurement, in particular to an intelligent acupuncture point positioning and safe depth prediction system and method.The system comprises the steps that height, trunk, shoulder width and pelvis data of a patient are collected to calculate a longitudinal-transverse proportion benchmark, body surface three-dimensional scanning is conducted based on the proportion to position shoulder, elbow and knee marks, and coordinates are generated; meridians and collaterals and a transverse interpolation axis are reconstructed to restrain a body surface path, acupuncture point space coordinates are calculated in combination with bony markers, and the safe acupuncture depth is evaluated through ultrasonic analysis of tissue levels. According to the invention, a vertical and horizontal body type reference is constructed through double proportions of height, trunk and shoulder and basin width, body surface three-dimensional scanning is introduced, a stable space anchor point is formed by a key anatomical mark, an ordered topological relation is established along meridians and collaterals and the transverse direction, and scale deviation is corrected in combination with path constraint, so that acupuncture point positioning has consistency and verifiability; and the safe needle insertion depth is quantified through the relationship between the tissue level and the bone surface, so that individualized and explainable accurate positioning and risk assessment are realized.

The invention relates to a tetramethyl rhodamine (TAMRA)-labeled agmatine (AGM) fluorescent probe as well as a preparation method and application thereof, and relates to the technical field of biological medicines. A fluorescent group TAMRA is connected with AGM through a solid-phase synthesis method, the high-purity TAMRA-AGM probe is obtained after purification and identification, the high-purity TAMRA-AGM probe has similar biological characteristics with unmodified agmatine, and on the cellular level, the probe can effectively enter various types of intestinal epithelial cells in a short time under the condition of low dosage and is co-located on mitochondria; in a tissue level, the probe can effectively enter intestinal epithelial cells in a body and can carry out visual observation and semi-quantitative analysis on the intestinal epithelial cells; the method realizes visual tracking and accurate positioning of agmatine in cell and tissue levels, provides a key research tool for deeply illuminating the action mechanism of AGM in prevention and treatment of sepsis intestinal injury and other diseases, and has important scientific value and application prospect.

This invention relates to exosome formulations loaded with atomically precise metal nanoclusters, their preparation, and applications, belonging to the field of biomedical technology. This invention uses atomically precise metal nanoclusters as the imaging optical signal unit and photothermal / photodynamic therapy unit of the formulation, and exosomes as the biological functional unit of the formulation. The optical signal of the formulation in the 400nm-1700nm wavelength band can trace the delivery pathway of exosomes; its photothermal / photodynamic properties can enhance the therapeutic effect of exosomes at the cellular and tissue levels, and improve the therapeutic activity of exosomes. Simultaneously, this formulation also exhibits renal clearance properties. The nanoformulations provided by this invention can achieve non-destructive labeling of exosomes, and possess the functions of characterizing exosome in vivo transport pathways, improving target site enrichment efficiency, and enhancing cell and tissue therapeutic performance, significantly improving the diagnostic and therapeutic efficacy and biosafety of exosomes.

The present application relates to the technical field of biology, to the field of genetic diagnosis, and in particular to a grading model for detecting the benign and malignant degree of tumor and application thereof. The present application provides a grading model for detecting the benign and malignant degree of tumor and application thereof, which is used for observing the change of imprinting genes of tumor at single cell and tissue levels, so as to judge the benign and malignant degree of tumor. Meanwhile, the change of expression of imprinting genes and non-imprinting genes can be combined, so that the cancer type and the benign and malignant degree can be more accurately judged.

The invention provides a papillary urothelial carcinoma recurrence risk assessment method, a kit and application, and relates to the technical field of biology. The evaluation method comprises the following steps: acquiring the proportion of malignant tumor cells with high proliferation potential in a fiber blood vessel axis structure adjacent microenvironment of a target sample; the target sample is a biochemical sample of papillary urothelial carcinoma tissues of a to-be-detected person; and obtaining an evaluation result for evaluating the recurrence risk of the to-be-tested person according to the proportion. According to the method, detection is focused on a microscopic hot spot area adjacent to a fibrous blood vessel axis structure from a macroscopic whole tissue level, the problem of inaccurate evaluation caused by neglecting tumor spatial heterogeneity is solved, and the relevance and reliability of an evaluation result and a clinical outcome are remarkably improved by accurately quantifying the proportion of cells with the most recurrent potential.

The application discloses a kind of full-optical photoacoustic viscoelastic imaging device and method for sclera biomechanics detection, the device includes photoacoustic signal excitation module, photoacoustic signal detection module, pupil positioning module and imaging platform, photoacoustic signal detection module is connected with photoacoustic signal excitation module, pupil positioning module respectively, imaging platform is connected with photoacoustic signal excitation module, photoacoustic signal detection module, pupil positioning module respectively;Photoacoustic signal detection module includes detection light source assembly, reference arm, sample arm and spectrometer, detection light source assembly generates two detection lights, one enters reference arm, is reflected to spectrometer by reference arm, another road and the excitation light of photoacoustic signal excitation module combined beam enters sample arm, to obtain the information of sample.The application breaks through the limitation of traditional photoacoustic imaging, especially when detecting deep tissue, can extract viscoelastic information from cell level to tissue level, realize the accurate measurement of sclera biomechanics information.

The invention discloses a method for carrying out fluorescent staining on an RG4 structure in an active tissue sample. On the basis of a 'QUMA-1 fluorescent probe staining' strategy, an RG4 structure in an active tissue sample is subjected to fluorescent staining. Based on the specific combination of a QUMA-1 fluorescent probe and the characteristics of the tissue RG4, the distribution and the strength of the RG4 structure can be more clearly observed at the tissue level through a living tissue slicing technology, a tissue culture and dyeing technology and a confocal microscopic imaging technology, so that the RG4 structure in the tissue is qualitatively and quantitatively analyzed, and the detection accuracy is improved. The tissue-level staining method disclosed by the invention has a good clinical transformation prospect and application value.

The invention discloses an adeno-lymphoma image recognition method and device, and the method comprises the steps: respectively segmenting each suspected region sub-image, and respectively extracting cell features and tissue features; performing graph embedding evolution according to the cell characteristics and the tissue characteristics, and generating a graph characteristic vector corresponding to a target cell to which each cell mask belongs; calling a classification model to determine a cell type corresponding to each target cell according to the graph feature vector; performing multi-category segmentation on each tissue mask, determining a focus mask, and extracting focus-level features in combination with cell types; and performing graph embedding evolution according to the focus level features, the cell features and the tissue features, generating target focus features corresponding to each focus mask, performing classification prediction, and obtaining a target focus type of each suspected region sub-graph. Classification is carried out after graph embedding evolution is carried out from the cell level and the tissue level, different focus sizes and densities are effectively adapted in combination with a dynamic threshold mode, the standard detection requirement of the adeno-lymphoma is met, and the detection robustness is improved.

The present disclosure relates to identifying caloric restriction markers and caloric restriction mimetics. A caloric restriction (CR) marker can be identified in a selected tissue by exposing an animal to CR conditions and selecting one or more genes differentially expressed in response to the CR conditions from a plurality of subject groups. By comparing the tissue levels of gene expression products in animals treated with the candidate compounds to CR-treated animals, candidate compounds that may have the ability to mimic CR effects when administered to animals can be screened.

1. The name of the design product: facial tissue reset lifting stripping guide. 2. The use of the design product: used in facial tissue reset lifting surgery; after blunt stripping operation on ligaments in the regions of zygomatic, lateral corner of mouth, and in front of ear, the stripping guide is placed in the corresponding tissue level to play its guiding role. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: combined state reference figure 1. 5. The rear view of component 1 is symmetrical to the front view of component 1, and the rear view of component 1 is omitted; the left view of component 1 has been expressed in the perspective view of component 1, and the left view of component 1 is omitted; the rear view of component 2 is symmetrical to the front view of component 2, and the rear view of component 2 is omitted; the left view of component 2 has been expressed in the perspective view of component 2, and the left view of component 2 is omitted; the bottom view of component 1 is symmetrical to the top view of component 1, and the bottom view of component 1 is omitted; the bottom view of component 2 is symmetrical to the top view of component 2, and the bottom view of component 2 is omitted.

A facial tissue box is designed to enhance first-sheet withdrawal and enable height reduction when tissue levels are low. The box features horizontal fold lines on the front and rear panels, tear lines on the sides and bottom, and a top surface with a tissue outlet formed by intersecting horizontal and vertical slits. When the designated tear lines are cut and the lower side panels are removed, the front and rear panels fold inward along the fold lines to create a new bottom, effectively shortening the box. This structure makes it easier to access the remaining tissues. Additionally, an optional inspection window lets users visually check how many tissues are left.