116 results about "Cell morphology" patented technology

The invention discloses a reticulocyte recognition and grading system based on a blood smear, and particularly relates to the field of medical cell morphology examination, and the system comprises an image acquisition module, a staining normalization module, an instance segmentation module, an erythrocyte classification module, a reticulocyte grading module and a statistics output module. The image acquisition module adopts an automatic microscope platform to continuously scan the blood smear under a 100-time visual field, acquires a high-quality bright field channel image through an automatic focusing technology, and monitors image definition, contrast and illumination uniformity; the statistical output module is used for calculating the proportion and bluish violet intensity statistics of reticulocytes of each level, and generating a visual quality control result and a diagnostic report; according to the invention, full-automatic processing from samples to reports is realized, interpretability and high classification precision are both considered, subjective difference and omission ratio of manual microscopic examination are significantly reduced, and efficiency and consistency of clinical detection are improved.

The invention belongs to the technical field of medical diagnosis, and discloses a quantum multicolor immune digital pathological diagnosis analysis system, which comprises the following steps: acquiring high-resolution digital images of an immunohistochemical or immunofluorescence slice and a slide, and analyzing multicolor signal distribution in the images to obtain a quantum chromatographic image set; pixel-level color separation and intensity quantization are carried out on the quantum chromatographic image set, and a quantum intensity index set of each pixel is generated; performing multi-target color overlay analysis and post-translational modification protein specificity evaluation on the quantum intensity index set to construct a multi-color modification index set; identifying a single cell boundary and a multi-cell community based on the multicolor modification index set, and extracting a cell morphological parameter and a spatial adjacency relation to obtain a cell quantum analysis set; performing consistency correction and traceable recording by applying an automatic quality control mechanism, and generating a digital diagnosis report; the accuracy of accurate qualitative and quantitative analysis of immunohistochemistry and immunofluorescence is greatly improved.

The invention discloses a morphological feature-based cell segmentation and cell nucleus identification method for a turned unstained bone tissue pathological image. The method comprises the following steps of: 1, eliminating tool marks by adopting a tool mark elimination method combining local frequency domain analysis and directional suppression; 2, performing cell segmentation by using a K-means method, and performing morphological expansion and topological analysis on a segmented single cell image to identify a cell nucleus in the single cell image; step 3, calculating morphological characteristic indexes of each region; the method comprises the following steps: establishing a multi-dimensional Gaussian mixture model according to existing bone cell labeled sample information, performing outlier detection according to statistical data analysis, and removing results which do not conform to cell morphology; classifying different regions, and removing non-cell regions; by calculating morphological characteristic indexes of each region, different regions are distinguished according to the indexes, and cells are preliminarily screened. According to the method, high-precision cell segmentation and cell nucleus identification can be carried out on the cut undyed bone tissue pathological image.

The invention discloses a liquid cell product, a preparation method thereof and a preserving fluid for preparing the liquid cell product, and belongs to the technical field of immunodetection. The dendritic polymer is creatively added into the preserving fluid for preparing the liquid cell product, the cell morphology in the liquid cell product can be improved, and a thermal acceleration test proves that the preserving fluid can maintain the cell morphology in the liquid cell product for a long time. When the preservation solution is used for preparing the liquid cell quality control product for immunodetection, quality control spots with complete circles can be formed after sample application on slides made of different materials, it can be obviously judged that cells in the liquid cell quality control product are dispersed very uniformly after immunohistochemical staining, and the preservation solution has very high application value.

The invention discloses a Wright staining peripheral blood cell accurate identification system and method based on intelligent microscopic imaging and multi-modal fusion deep learning, belongs to the crossing field of medical examination and artificial intelligence, and is suitable for cell morphology analysis under a 10 * 40-time microscope. The core scheme comprises the following steps: standardized slide preparation and dyeing (the slide pushing angle is 25 + / -2 degrees, the pH is 6.8 + / -0.2, and color sensing dynamic regulation is performed); intelligent imaging (focusing formula and color normalization; the method comprises the following steps of (1) data processing, (2) data processing, (3) data processing, (4) data processing, (5) data processing, (6) data processing, (7) data processing, (8) data processing, (7) data processing, (8) data processing, (8) data processing, (8) data processing, (8) data processing, (8) data processing and (8) data processing.

The invention relates to a management method and system for a leukemia cell morphology intelligent recognition microscopic device, and solves the problems that imaging quality fluctuates, suspicious cell recognition precision is limited, and clinical efficient standardization requirements are difficult to meet. Extracting sample features and calling a parameter library according to rules to select optimal scanning and imaging parameters for initialization; starting an X / Y-axis motor according to the parameters, and correcting the deviation by combining an anti-interference rule and an encoder; z-axis dual-stage focusing is carried out after stable stopping, and an FPGA time sequence control camera carries out acquisition; aI judgment results are sent to images, suspicious cells are delineated and then positioned, and high-power lens re-focusing collection and AI recognition are carried out. The method has the advantages that sample adaptation and positioning precision is improved, suspicious cell recognition is optimized, and detection efficiency and precision are improved.

The invention relates to the technical field of medical information processing, in particular to a cervical cancer cell early screening and intelligent evaluation system based on multi-modal data, which comprises a data acquisition module, a form detection module and a screening early warning module, the data acquisition module is used for acquiring multi-modal data of a current detection object in a plurality of inspection processes; the morphology detection module is used for calculating a cellular morphology score of a current detection object in any target inspection process; the screening early warning module is used for determining similar detection objects of the current detection object, and correcting differences between the current detection object and the similar detection objects in the aspects of cellular morphology scores and lesion detection indexes according to the approximation degree between different types of lesion detection indexes of the current detection object; and obtaining the screening early warning coefficient of the current detection object by using the relative change condition of the correction result. According to the invention, the early screening and evaluation effects on cervical cancer cells are improved.

The application provides a cell fixing solution for a myasthenia gravis antibody spectrum (IgG) detection kit (cellular immunofluorescence method) and a product and application thereof, and relates to the technical field of in-vitro detection. The cell fixing solution provided by the application is composed of polyoxymethylene, formaldehyde, acetic acid, raffinose and a buffer solution, can effectively fix the cell morphology, maximally retains the natural spatial conformation and antigen epitope integrity of myasthenia gravis related antigens AChR, Titin, RyR1, MuSK and LRP4, reduces the problems of antigen denaturation, epitope shielding and protein loss in the fixing process, can efficiently and accurately realize the synchronous joint detection of various specific antibodies, and the myasthenia gravis antibody spectrum (IgG) detection kit (cellular immunofluorescence method) prepared by the application has stable detection results, and has important clinical application value and industrial popularization prospect.

The invention belongs to the technical field of biology, and relates to a bronchoalveolar lavage fluid (BALF) preserving fluid, a kit and a cytological test method. The preservation solution is composed of TCEP, N-acetylcysteine, EDTA.2Na, trehalose, Proclin300, methanol, sodium chloride and HEPES, and all the components have a synergistic effect to achieve sample viscosity removal, oxidation resistance, corrosion prevention, cell protection and pH stabilization. The preserving fluid is suitable for morphological observation and nucleic acid detection of BALF cells, and can stably preserve samples at room temperature and maintain completeness of cell membranes and clear morphological structure. The kit comprises two preparations which are mixed to form a working solution, and the working solution can be directly used for sample preservation on a sampling site. The cytological test method comprises the steps of sample collection, preservation, centrifugal slide preparation, Wright-Giemsa staining and microscopic observation. Experimental results show that preservation solutions of different formulas are compatible with a chromosome system, the cell morphology is kept stable within 3 days, the dyeing effect is good, and it is proved that the preservation system can remarkably improve the preservation stability and detection reliability of BALF samples and is suitable for cytology and molecular diagnosis application of lower respiratory diseases.

The invention discloses an optical positioning method and system for papillary thyroid cancer cells of a terahertz near-field system, and relates to the field of terahertz near-field imaging, and the method comprises the following steps: carrying out the imaging observation of a thyroid tissue section under a first magnification factor through a microscope, carrying out low-magnification imaging partitioning on an area where imaging observation is located according to the morphological characteristics of the cells to form partitioned images; selecting an area of suspected papillary thyroid cancer cells, performing observation and comparison under a second magnification, comparing the observed morphology with the known optical characteristics of the papillary thyroid cancer cells, and selecting an area near the area with the suspected characteristics as an optical positioning point and performing marking; and carrying out positioning according to the optical positioning point, and carrying out scanning imaging by using a terahertz near-field system. The problems that a terahertz near-field system is long in time consumption and difficult to locate when finding papillary cancer cells in multiple cells of thyroid tissue slices are mainly solved.

The invention discloses a cellular morphology recognition method and system for pathological analysis, and relates to the technical field of cellular morphology recognition, a feature screening module is used for calculating a morphological analysis direction tensor field, and a first fusion feature and a second fusion feature are obtained through a depth sequence model Transform and a plane sequence model Transform respectively; a multi-head attention mechanism is used for screening the first fusion features and the second fusion features to form screened fusion features, a regulation and control execution module is used for performing contour surface analysis on the direction tensor field to obtain an interlayer equidistant surface sequence, and spiral angle mapping is performed to obtain a reference spiral direction field; and generating a planar spiral layout map and executing variable density spiral network regulation and control. According to the recognition system, through organic combination of multi-dimensional feature fusion, dynamic grid construction and spiral space regulation and control, the pathological analysis capability which is accurate and accords with cell physiological morphological characteristics is realized.

The invention discloses a human-derived ampulla cancer cell line DPC-X5 and application thereof, and belongs to the field of microbial animal cell lines. The human-derived ampulla cancer cell line is named as a human-derived ampulla cancer cell line (homo sapiens) DPC-X5, and is preserved in the China Center for Type Culture Collection on October 30, 2025, and the preservation number is CCTCC NO: C202580. The human-derived ampulla cancer cell line DPC-X5 can be applied to establishment of a cell model for occurrence, development or metastasis of ampulla cancer. The human-derived ampulla cancer cell line DPC-X5 can be applied to cell models for researching differentiation mechanisms, cell morphology and dysfunction and tumor infiltration and metastasis mechanisms of ampulla cancer and guiding clinical comprehensive diagnosis and treatment. The human-derived ampulla cancer cell line DPC-X5 can be applied to research on the occurrence mechanism of the ampulla cancer and screening of drugs for preventing and treating the ampulla cancer. The human-derived ampulla cancer cell line DPC-X5 can be applied to establishment of an ampulla cancer animal model.

The invention relates to a cell morphology feature extraction and prediction analysis method, in particular to a cell morphology feature extraction and prediction analysis method for a high-throughput cervical TCT image. The method aims at solving the problems that in the cell analysis technology of the cervical TCT image, complex morphological characteristics of cells are not fully considered, the characteristic extraction precision is low, and the manual dependence degree is high. The method comprises the following steps: selecting cellular morphology characteristics of cervical TCT image auxiliary diagnosis; obtaining a segmentation result of the cell nucleus and the cytoplasm based on the segmentation network; extracting, measuring and calculating cell morphological characteristics based on a cervical TCT image segmentation result; and analyzing and visualizing the measurement and calculation results of the morphological characteristics of the cells. According to the method, medical priori knowledge and data-driven research methods are fused, and more interpretable quantitative data are provided for subsequent cervical cell research through conjoint analysis of shape features and texture features. The invention belongs to the technical field of medical image analysis and computer vision.

The invention relates to the field of CAR-T cell concentration detection, in particular to a method for detecting CAR-T cells through combination of microfluidics and immunofluorescence. Through immunomagnetic bead enrichment and micro-fluidic chip partitioning, CAR-T cells are separated from a blood sample through immunomagnetic beads, then labeling is carried out or enhanced by adding a labeling antigen, anti-TCR-PE and DAPI, three-channel fluorescence labeling is achieved, quantitative analysis can be carried out on the number, the cell morphology and the function of the CAR-T cells through automatic immunofluorescence imaging, and the accuracy of CAR-T cell detection is improved. And the detection limit reaches 0.001%.

The invention relates to the technical field of bioengineering, in particular to application of reticular structure collagen with an ECM (extracellular matrix) regulation function in tissue filling and / or compatibilization. The recombinant III-type humanized collagen provided by the invention can be self-crosslinked to form a net structure, and has good mechanical strength. The collagen has short-term and long-term effects at the same time, can be directly used as a filling agent in a short term, and can activate a plurality of signal channels and promote expression of various collagens in an extracellular matrix in a long term, jointly construct and maintain a net structure of the extracellular matrix, improve an extracellular matrix environment and improve the extracellular matrix activity. The cell morphology and the cell adhesion, migration and multiplication capacity are improved, the lasting filling and repairing effects are achieved, and good application prospects are achieved in the field of tissue filling and repairing.

The present application adopts the way of plant explant callus culture, adds carbon source containing fluorescent group in the culture medium, induces callus with fluorescent group, thin cell wall, easy to be single enzymolysis, uniform cell morphology and size, the cell after single enzymolysis is detected by flow cytometry, the purity and activity of the prepared leaf single cell are 98.5% and 99.95 respectively, the agglomeration rate is only 1.5%, the cell purity and activity are increased by 32.6% and 21.05 respectively compared with the traditional technical scheme, and the agglomeration rate is reduced by 31.0%; the rice seed is used as the explant, and the seed single cell with cell purity and activity of 99.5% and 100% is obtained, which breaks through the limitation of traditional enzymolysis method that cannot prepare seed single cell; in addition, through the common induction of safflower leaf and rice seed, the cell purity and activity prepared are as high as 99.98% and 100.0, which overcomes the limitation of single cell preparation caused by interspecific heterogeneity.

This invention provides a method for processing live single-cell extraction based on deformation trends, comprising the following steps: Step S1: Controlling a microfluidic chip to immerse itself in a culture medium containing adherent cells while maintaining a preset gap, controlling the injection flow rate of the injection channel and the aspiration flow rate of the aspiration channel to form a microjet acting on the cells; Step S2: Controlling an image processing module to receive and process cell morphology images on the culture substrate acquired by a microscopic imaging module, and calculating deformation parameters based on the comparison between the cell area in the current frame image and the initial cell area; Step S3: Comparing the deformation parameters with critical deformation parameters obtained through experimental calibration, and when the deformation parameters are greater than the critical deformation parameters, controlling a fluid drive module to reduce the injection flow rate and / or the aspiration flow rate; or, calculating a comprehensive damage risk index based on the deformation parameters, and when it is greater than 1, reducing the injection flow rate and / or the aspiration flow rate.

The invention provides a cervical cell characterization classification method based on a structure constraint network, and the method comprises the following steps: A, carrying out the data enhancement of a cell image, and generating different enhanced views of the same cell; b, performing feature extraction on the enhanced view by adopting a convolutional neural network to obtain cell space structure features; c, introducing a bulldozer distance EMD (Earth Mover's Distance) to apply spatial structure consistency constraint on the enhanced view, and taking the spatial structure consistency constraint as a measurement standard for structure distribution alignment; and D, inputting the features subjected to structure alignment into a classifier to complete cell category identification. According to the method, the EMD measurement is combined to apply the structural consistency constraint in the self-supervised learning framework, so that the network can extract stable and discriminative features under an unsupervised condition, and the problems of cellular morphology diversity, dyeing difference, insufficient labeling and the like are effectively solved. According to the method, excellent accuracy is obtained in an open-source cervical cell data set experiment, good robustness is shown, and an efficient and reliable technical scheme is provided for large-scale automatic analysis of clinical cervical cells.

The invention belongs to a cell culture technology in the field of biomedicine, and particularly relates to a liver organoid for traditional Chinese medicine screening and toxicity assessment and a construction method and application thereof. The construction method comprises the following steps: carrying out plane multiplication culture on pluripotent stem cells, then digesting and subculturing, and repeating to obtain a cell culture medium; a pluripotent stem cell group which is uniform in cell morphology and free of spontaneous differentiation is obtained; performing two-dimensional plane directional induction on the pluripotent stem cell population to enable cells to synchronously and uniformly receive differentiation signals to obtain hepatogenic mother cells; culturing the obtained hepatic mastocytes by using a culture medium E under a three-dimensional suspension condition to promote the specificity and balling of the hepatic lineage; the culture medium E is an Advanced DMEM / F12 which comprises 1 to 5 [mu] M of RA, 2 to 10 [mu] M of Y-27632, 0.5 to 1 [mu] M of beta-nicotinamide mononucleotide, 5 to 10 [mu] M of senkyunolide A, B27 and N2; and then replacing the culture medium to further mature and functionalize the hepatocytes to obtain the liver organoid, and the obtained liver organoid has high stability, high uniformity, good survival rate and mature hepatocyte functions.

The invention provides a method for constructing a mouse TGIF1 gene knockout cell line based on a CRISPR / Cas9 technology, and belongs to the technical field of gene editing. According to the invention, the CRISPR / Cas9 technology is adopted, the TGIF1 gene in the C2C12 cell is successfully knocked out, the C2C12 cell line with the knocked-out TGIF1 gene is established, the cell line is stable in heredity, and the cell morphology and proliferation are not obviously different from those of a control group cell. The method can be used for researching the function of the TGIF1 gene in mouse muscle development and revealing the action mechanism of the TGIF1 gene in muscle development regulation.

Described herein is a DNA nanostructure-based platform that can modulate a number of cellular functions depending on the concentration and surface decoration of the nanostructure. Utilizing different peptides for surface functionalization of DNA nanostructures, lysosomal activity was able to be modulated which in turn translated into the control of cellular functionality, ranging from changes in cell morphology to modulation of immune signaling and cell death. This demonstrates the rational design of a new generation of versatile DNA-based nanoplatforms that can be used in various biomedical applications such as the development of combinatorial anti-cancer platforms, efficient systems for endolysosomal escape, and nanoplatforms modulating lysosomal pH.

The invention relates to the technical field of near-field imaging, in particular to a papillary thyroid carcinoma identification method based on terahertz imaging. According to the technical scheme, the method comprises the following steps that two sets of sections at the same position of the thyroid tissue of a patient are obtained, one set is stained sections, and the other set is unstained sections; and comparing the two groups of slices through an optical microscope, observing the position corresponding relation of the two groups of slices, and selecting an observation area based on cell morphological characteristics. According to the invention, synchronous acquisition of tissue apparent morphology and internal structure under nanoscale resolution is realized through the terahertz near-field imaging system, automatic analysis of an undyed thyroid section can be completed within 30 minutes by combining multi-modal feature fusion and a target detection algorithm, objective positioning and diagnosis scores of a cancerous region are directly output, and the accuracy and accuracy of diagnosis of the cancerous region are improved. And rapid, lossless and quantitative papillary thyroid carcinoma identification is realized.

The invention belongs to the technical field of biomedical detection, and discloses a blood cell analysis system based on image flow cytometry, which comprises a cell staining module, the dyeing module simultaneously comprises a first fluorescent probe capable of being specifically combined with components in a cell nucleus or enriched in the cell nucleus, a second fluorescent probe capable of being specifically combined with cell nucleus DNA and a third fluorescent probe capable of being specifically combined with a blood cell differentiation antigen; an image flow cytometer; and the image processing module is used for calculating the kernel detection rate and / or the average kernel number. According to the present invention, the combination of the specific types of the cell staining dyes is adopted, the image flow cytometry is matched, and the optimized multi-dimensional fluorescence staining combination and the matched automatic image analysis process are adopted to achieve the synchronous, high-throughput and accurate quantitative analysis of the blood cell immune phenotype and the cell morphology key characteristics at the single cell level;

The invention discloses a human-derived ampulla cancer cell line DPC-X2 and application thereof, and belongs to the field of microbial animal cell lines. The human-derived ampulla carcinoma cell line is named as the human-derived ampulla carcinoma cell line (homo sapiens) DPC-X2, and is preserved in the China Center for Type Culture Collection on October 30, 2025, and the preservation number is CCTCC NO: C202579. The human-derived ampulla cancer cell line DPC-X2 can be applied to establishment of a cell model for occurrence, development or metastasis of ampulla cancer. The human-derived ampulla cancer cell line DPC-X2 can be applied to cell models for researching differentiation mechanisms, cell morphology and dysfunction and tumor infiltration and metastasis mechanisms of ampulla cancer and guiding clinical comprehensive diagnosis and treatment. The human-derived ampulla cancer cell line DPC-X2 can be applied to research on the occurrence mechanism of the ampulla cancer and screening of drugs for preventing and treating the ampulla cancer. The human-derived ampulla cancer cell line DPC-X2 can be applied to establishment of an ampulla cancer animal model.

An object of the present invention is to provide a method of evaluating intercellular interactions in neuroinflammation using a co-culture containing human-derived neural cells capable of mimicking human brain functions. According to the present invention, there is provided a method of evaluating intercellular interactions in neuroinflammation, the method including a step of producing a co-culture containing at least two cells selected from the group consisting of human-derived astrocytes, human-derived neurons, human-derived microglia, and human-derived oligodendrocytes, a step of applying an inflammatory stimulation to a first cell contained in the co-culture, a step of detecting at least one selected from the group consisting of an inflammatory response marker in the cells contained in the co-culture, neural activity of the cells, and cell morphology, and a step of evaluating, over time, a change in at least one selected from the group consisting of the inflammatory response marker, the neural activity, and the cell morphology in the first cell and a second cell different from the first cell contained in the co-culture.

This invention relates to the field of immunoassay technology, specifically to a multicolor fluorescent diagnostic reagent for detecting PAP. The multicolor fluorescent diagnostic reagent includes Hurst dye, wheat germ lectin, fluorescein isothiocyanate, a counterstaining agent, an organic solubilizer, and a humectant. This invention incorporates multiple fluorescent dyes, enabling rapid and effective detection of glycoprotein signals in PAP patient specimens. Simultaneously, it clearly displays cell morphology in the specimens, allowing for timely exclusion of bacteria, fungi, and abnormal cells, thus helping doctors quickly and accurately determine the type of PAP in patients. Compared to the traditional PAS staining method, the multicolor fluorescent diagnostic reagent provided by this invention uses a one-step staining method, which is simple to operate, has a short detection time, and allows for rapid observation of test results, facilitating timely diagnosis and treatment for patients.

The invention provides a dynamic cell detection method based on super-resolution imaging and semi-quantification, and relates to the field of biomedical detection. The method comprises the following steps: constructing cell experiment groups and performing intervention; after dyeing by adopting a specific fluorescent probe, carrying out super-resolution imaging and image analysis by utilizing a structured light illumination microscope to obtain first semi-quantitative data; detecting by using a fluorescence microplate reader in parallel to obtain second data, and carrying out cross validation; and finally evaluating the drug function based on the valid data. According to the invention, the combination of subcellular morphology observation and multi-channel fluorescence semi-quantitative analysis is realized, and the accuracy and reliability of diabetes drug screening and cell function evaluation are remarkably improved.

The present invention relates to a composition for inhibiting the toxicity with respect to nanoparticles and particulate matters generated from the environment. Since it has been confirmed that a decrease in intracellular ATP, a decrease in cell viability, inflammation-induced morphological changes in cells and cell activation, which are induced by nanoparticles or environmentally-derived particulate matters, are inhibited by means of the composition of the present invention, the composition may be utilized as a reducing substance for the toxicity of nanoparticles and particulate matters.

This invention belongs to the field of medical image-assisted diagnosis technology, specifically a cervical cancer early screening system based on cell morphology modeling. It includes an image acquisition and standardized preprocessing unit, an adaptive boundary continuity construction module, a microscopic high-frequency deformation feature deconstruction module, a biophysical property dynamic modeling module, a multidimensional anomalousness evaluation engine, and an intelligent screening result feedback center. It actively evolves and generates closed contours through a physical potential field model, quantifies the high-frequency deformation features of the nuclear membrane using multi-scale curvature flow decomposition, and performs dynamic response analysis based on finite element analysis to invert physical rigidity. This application achieves modeling from apparent pixels to deep mechanisms, effectively distinguishing between physiological compression deformation and malignant morphological anomalousness, significantly improving the system's screening sensitivity and diagnostic robustness.

The invention relates to the field of pathological diagnosis and experiments, in particular to a bone marrow tissue rapid decalcification solution and a decalcification method, the bone marrow tissue rapid decalcification solution comprises the following raw materials: 5.0% of formic acid, 1.0 w / v% of sodium formate, 2-4 v / v% of formaldehyde, 0.1 w / v% of EDTA disodium salt, 1.0 v / v% of propylene glycol, 0.1 v / v% of a tissue penetrant, 0.1 w / v% of vitamin C and the balance of water, and the pH value is 3.0. The invention further provides a preparation method and application of the bone marrow tissue rapid decalcification liquid. The weak acid-chelating agent synergistic buffer system is creatively adopted, the stabilizer, the penetrating agent and the antioxidant are added, optimal treatment of rapid decalcification of the bone marrow tissue is truly achieved, and the kit has the advantages of good cellular morphology and antigen preservation and is suitable for rapid and accurate pathologic diagnosis of the bone marrow tissue.