38 results about "Subcellular structure" patented technology

The invention discloses a method for evaluating the growth performance of mangrove forest seedlings in an estuary high-salinity environment, and the method comprises the steps: constructing an analysis framework in which a dynamic salinity stress system and a multi-dimensional monitoring technology are coupled, and achieving the precise evaluation of the environmental adaptability of the mangrove forest seedlings; the method comprises the following steps: firstly, carrying out sterile germination and matrix domestication on a target estuary provenance, then establishing a three-dimensional stress model containing basic salinity maintenance, sudden salinity impact and tidal cycle fluctuation, and strictly controlling the sudden salinity impact amplitude within 20% of the historical extreme value of the estuary; synchronously acquiring canopy volume and root architecture parameters of the seedlings by adopting a three-dimensional laser scanning technology, and constructing a morphological database in combination with leaf apparent characteristic records; subcellular structure indexes such as cell wall thickening, chloroplast envelope integrity and mitochondrial ridge density are observed and analyzed through a transmission electron microscope, the molecular mechanism of osmotic regulation and energy metabolism is disclosed, and the concentration of suspended solids in the water body, the oxidation-reduction potential of sediments and the functional diversity of microorganisms are synchronously monitored.

The invention provides a single bacterium drug sensitivity detection method and system, and relates to the technical field of drug sensitivity detection.The single bacterium drug sensitivity detection method comprises the steps that a cultured to-be-tested strain is subjected to fluorescent staining and then mixed with an antibiotic solution, and a mixed solution is obtained; continuing the strain to be tested in the mixed solution through a structured light illumination microscope to obtain an original imaging sequence; reconstructing and preprocessing each original imaging sequence to obtain a processed imaging sequence, and then cutting out a single bacterium to be tested from each processed image in the processed imaging sequence to obtain a plurality of region-of-interest sequences; and inputting each region-of-interest sequence into a pre-trained evaluation model to obtain a detection result including drug resistance or susceptibility. The method has the beneficial effects that the method focuses on the early change of a subcellular structure before bacterial division, so that the detection time is greatly shortened; imaging acquisition and image processing and cutting are carried out on the single bacterium level, and the survival (drug resistance prompting) state and the non-survival (susceptibility prompting) state of single bacteria can be rapidly distinguished.

Systems and methods for imaging and, in some instances, analyzing biological samples such as biological tissue are described. The systems and methods may be directed to the interrogation of biological samples labeled with multiple markers (e.g., fluorophores and / or chromophores) corresponding to various biomarkers and / or cellular or subcellular structures within the sample. Some such systems and methods may combine certain optics (e.g., configurationally-fixed optics for fluorescence imaging and / or actuatable filters for chromogenic imaging) with multi-color sensors (e.g., RGB sensors) to facilitate the imaging and analysis of a sample. The systems and methods may also promote advantageous techniques for segmenting images of components of the biological sample. In some instances, the methods can assist users (e.g., pathologists) in scoring samples for indications such as diseases. The systems and methods may, in some instances, promote economical, accurate, and / or higher-throughput imaging and analysis of the sample.

The invention relates to a gastric cancer evaluation system based on a platelet subcellular structure, comprising: a data acquisition module for acquiring a carcino-embryonic antigen level in a blood sample of a detected subject and a platelet proportion in which alpha particles are regularly distributed; the data analysis and judgment module is used for jointly calculating the risk score of the subject suffering from the gastric cancer according to the platelet proportion of'regular distribution 'of alpha particles and the carcino-embryonic antigen level; and the result output module is used for outputting a corresponding gastric cancer assessment result according to the risk score. According to the platelet proportion of'regular distribution 'of alpha particles in a blood sample of a subject and the carcino-embryonic antigen level, the risk score of the subject suffering from the gastric cancer is jointly calculated, the risk of the subject suffering from the gastric cancer is judged, the specificity is 87.5%, and the sensitivity is 87.5%.

The present invention relates to, among other things, probes, compositions, methods, and kits for simultaneous, multiplexed detection and quantification of protein expression in a user-defined region of a tissue, user-defined cell, and / or user-defined subcellular structure within a cell.

This application is applicable to the field of cell analysis technology, and particularly relates to a method and device for cell mechanical phenotype analysis based on deep learning. The method includes: acquiring temporal images, mechanical response data, and culture environment parameters of target cells; based on the mechanical response data and culture environment parameters, performing regional segmentation on the temporal images to determine the mechanically sensitive regions on the surface of the target cells and the local deformation characteristics of subcellular structures, thereby achieving refined and targeted feature recognition; generating a mechanical phenotype descriptor of the target cells according to the mechanically sensitive regions, local deformation characteristics, and culture environment parameters to realize multi-modal data fusion; using a mechanical phenotype analysis model pre-trained with sample mechanical phenotype descriptors of sample cells to process the mechanical phenotype descriptor, and obtaining a heterogeneity prediction result of the target cells, automatically identifying the heterogeneity of cell mechanical properties under complex culture environments, and significantly improving the dynamics and generalization ability of heterogeneity classification.

The present invention belongs to the technical field of biology, and particularly relates to a method for treating a tissue sample and a method for high-throughput transcriptome sequencing of a single-cell subcellular structure. During preliminary sample treatment for single-cell sequencing, a pre-permeabilization treatment is performed on the tissue to enhance the permeability of biological membranes in the tissue, and then labeling and adapter addition are performed on the RNAs in the tissue block. The operations on the tissue in the provided method avoid various problems caused by extensive centrifugation processes during the treatment of a subcellular structure. The obtained subcellular structure is highly conducive to high-throughput transcriptome sequencing of a single-cell subcellular structure, and thus has great practical value.

Methods, systems, computer programs and computer readable media comprising instructions for processing images and for analyzing samples are described, wherein the processing comprises performing spectral unmixing to identify regions of an image associated with one or more signals such as, e.g., fluorescent signals, luminescent signals, and / or colorimetric signals. The invention finds applications in the context of analysis of labelled samples, such as, e.g., for the purpose of detecting and / or quantifying molecules, molecular complexes, cells, subcellular structures, microorganisms, etc.

The application provides a protein clustering method combining information granulation and evidence reasoning, which comprises the following steps: granulating protein sequence data in cells, fusing information granules of the protein sequence data based on intersection relationship, fusing granule clusters of the protein sequence data based on density propagation, fusing granule groups of the protein sequence data based on distance, calculating evidence values of stable samples, calculating evidence values of unstable samples, assigning categories of the protein sequence samples according to the evidence values, and improving the accuracy of protein subcellular localization prediction, so as to facilitate biologists to judge or design specific proteins in each subcellular structure or to predict the function of the proteins.

The invention relates to a multi-target combined toxicity screening method and system based on deep learning, and belongs to the technical field of food safety and biology. The method comprises the following steps: carrying out combined co-incubation on HepG2 cells and to-be-detected samples with different concentration proportions, and labeling a subcellular structure by using a fluorescent probe; acquiring a multi-channel fluorescence image; performing cell segmentation on the image; extracting phenotypic characteristics of the cells; and based on a ResNet18 model, carrying out regression training on the extracted phenotypic features and the collaborative toxicity score calculated by the HSA model, and establishing a toxicity prediction model. Compared with a traditional combined toxicity screening method, on the premise that it is ensured that the combined toxicity effect prediction accuracy is close to that of a traditional experimental method, the multi-dimensional phenotypic characteristics of the cells are extracted through multi-organ dyeing, so that the combined toxicity effect is comprehensively analyzed, and a promising tool is provided for achieving combined toxicity high-throughput screening.

A biological network mimic for investigating subcellular structures and their interaction with biomolecular condensates is presented. The mimic is a stimulus-responsive polymer and a non-responsive polymer in an aqueous two-phase system (ATPS). One effective mimic is an aqueous two-phase system (ATPS) that combines poly (N-isopropylacrylamide) (PNIPAM) and dextran (DEX). The ATPS mimic, displays ultrasensitive thermo-induced aqueous liquid-liquid phase separation and liquid-solid phase separation (AqLL-LS PS2). Diverse structures, including networks, hollow spheres, and spinodal decomposition-like patterns, are generated by regulating component concentrations and temperatures. These structures are thermally reconfigurable. Networks can melt fused in sarcoma (FUS) condensates. The mimics provides methods to examine potential treatments of neurode-generative diseases by dissolving pathologically relevant biomolecular condensates.

The present invention relates to, among other things, probes, compositions, methods, and kits for simultaneous, multiplexed detection and quantification of protein and / or nucleic acid expression in a user-defined region of a tissue, user-defined cell, and / or user-defined subcellular structure within a cell.

The present invention relates to, among other things, probes, compositions, methods, and kits for simultaneous, multiplexed detection and quantification of protein and / or nucleic acid expression in a user-defined region of a tissue, user-defined cell, and / or user-defined subcellular structure within a cell that are adaptable for use with existing sequencing technologies.

The present invention discloses phenothiazine / phenoxazine-based organic compounds, their preparation methods, and applications. The phenothiazine / phenoxazine-based organic compounds of the present invention have good photophysical properties, high biocompatibility, small molecular weight, large Stokes shift, and excellent targeting performance. They can accurately stain subcellular structures in biological cells and effectively locate them in organelles in a wash-free manner, thereby achieving subcellular structure images with a high signal-to-noise ratio. The phenothiazine / phenoxazine-based organic compounds of the present invention have low cytotoxicity and large Stokes shift as small molecule fluorescent dyes. Compared with commercial organelle dyes, the fluorescent dyes of the present invention can specifically accumulate in cell mitochondria, cell membranes, lysosomes, endoplasmic reticulum, and lipid particles, and have excellent photostability, and can be used to observe the microstructure of cells and cell-to-cell interactions for a long time.

The invention discloses a cationic organic compound as well as a preparation method and application thereof, and belongs to the technical field of organic synthesis. The compound has a novel molecular structure, excellent water solubility, good photophysical properties, high biocompatibility, small molecular weight and outstanding targeting ability. The compound can realize precise dyeing of subcellular structures in cells, especially can specifically locate to mitochondria, does not need a cleaning step in the dyeing process, can obtain a mitochondria image with a high signal-to-noise ratio in a washing-free manner, and provides an efficient and convenient dyeing tool for observation of the subcellular structures.

A 3D single-molecule super-resolution imaging technique is disclosed herein. In particular, the techniques described herein combine an optical platform including a tilted single-objective dithered light sheet illumination, a microfluidic system, and point spread function engineering to achieve precise 3D single-molecule super-resolution imaging of subcellular structures (e.g., a sample (110)) with easy control of the extracellular environment. In certain embodiments, the single-objective dithered light sheet (102) of the optical setup (100) includes a plurality of galvanometric mirrors (116, 118, 124) and a tunable lens (122) that may steer a light sheet (102) for optimized optical sectioning of the sample (110). In some embodiments, the sample (110) is positioned in the microfluidic device (160) during imaging. In this way, traditional challenges (e.g., high out-of-focus background fluorescence and lack of environmental control) generally facing single-molecule localization microscopy may be overcome.

The invention discloses an immunoregulation method based on amniotic mesenchymal stem cells, and relates to the technical field of immunoregulation, and the method comprises the following steps: establishing an acoustic simulation model of a subcellular structure, predicting the sensitive frequency range of mitochondria and endoplasmic reticulum in amniotic mesenchymal stem cells based on the simulation model, and a safe frequency interval in which subcellular resonance is not caused is determined. According to the method, the subcellular sensitive frequency is predicted by constructing the acoustic simulation model, the resonance risk is avoided in combination with multi-frequency standing waves, real-time monitoring and a self-adaptive regulation and control mechanism are integrated, and it is guaranteed that the organelle function is stable. After separation, function detection and model feedback optimization are performed to form a'modeling-monitoring-regulation-verification-feedback 'closed-loop system, so that the survival rate and the immune regulation function of the amniotic mesenchymal stem cells are remarkably improved, and the process stability and the clinical availability are enhanced.

The invention relates to the technical field of tumor treatment, and discloses a polymeric drug-loaded particle servo type controlled release system and method based on high-frequency oscillation excitation. The system comprises polymeric drug-loaded particles; the Doppler echo repositioning module is used for acquiring imaging information of the tumor tissue in real time and generating a servo-adjusted sound signal according to the imaging information; the array type ultrasonic unit is in communication connection with the Doppler echo re-positioning module and is used for receiving the sound signal subjected to servo adjustment and transmitting high-frequency ultrasound according to the sound signal; wherein when the high-frequency ultrasound acts on the polymeric drug-loaded particles, the polymeric drug-loaded particles are positioned on target tissues under the dual effects of tumor cell surface receptor targeting and subcellular structure targeting, and the sound-sensitive agent generates active oxygen under the excitation of the high-frequency ultrasound, so that the drug-loaded particles can be used for treating tumor cells. And the array type ultrasonic unit can adjust the ultrasonic excitation intensity in real time according to the imaging of the tumor tissue so as to realize the instantaneous active oxygen filling of the target tissue and reconstruct the tumor microenvironment.

The invention relates to the technical field of information, and particularly provides a fish germ cell subcellular structure separation method, which comprises the following steps: obtaining fish gonad tissues in an environment without RNA enzyme pollution, washing with a precooling buffer solution, directly quick-freezing, embedding in an embedding medium, and storing at low temperature; freezing and slicing the quick-frozen and embedded sample to obtain a thin-layer slice, and attaching the thin-layer slice to a membrane subjected to adhesion enhancement treatment and enzyme-free treatment; the attached section is subjected to visual treatment by adopting a specific dyeing combination and then is stored at low temperature; the visualized diaphragm is placed in a humidity-controlled windless enzyme-free environment, and a target membraneless subcellular structure is recognized by combining phase difference or differential interference contrast imaging and three-dimensional stack scanning through a multiple objective lens; the laser microdissection system adopts laser parameters optimized for a small-area target to complete cutting; and adsorbing the cut membraneless subcellular structure into a tube cover of a collecting tube, immediately adding a lysis solution, mixing, and storing at low temperature for nucleic acid extraction.

The invention discloses a TPRN gene therapy system driven by a coProB2 promoter and application of the TPRN gene therapy system, and belongs to the field of biological medicine. Specifically, the invention relates to a nucleic acid, which comprises a coProB2 promoter and mouse TPRN-cDNA, and an expression vector formed by the nucleic acid, and the nucleotide sequence of the coProB2 promoter is SEQ ID NO.1. The invention also relates to a preparation method of the coProB2 promoter. According to the expression vector constructed by the invention, after single administration, the ABR threshold value of a DFNB79 model mouse is recovered to a wild type level (30dB SPL), the curative effect lasts for at least 3 months, the partial rescue effect of the expression vector is obviously superior to that of a broad-spectrum promoter (such as CAG and CMV173), and functional healing is realized; meanwhile, subcellular structure repairing can be achieved, and cross-species safety is achieved.

The invention discloses a near-infrared self-flickering fluorescent dye as well as a preparation method and application thereof. The near-infrared self-flickering fluorescent dye has one of structures as shown in a formula I and a formula II. Azetidine is introduced to inhibit a twisted charge transfer effect in molecules, so that silicon rhodamine has the characteristics of high light stability, high brightness, cell permeability and the like. Based on thermodynamic equilibrium of intramolecular spiralization of a benzyl alcohol structure in the dye, the fluorescent dye can realize single-molecule localization super-resolution fluorescence imaging of various subcellular structures in living cells, and realizes visualization of structures including lysosomes, mitochondria, cell nucleuses, microfilaments and the like on a nano scale. Besides, the absorption wavelength of the dye is 650nm, the fluorescence emission wavelength reaches 666nm and reaches a near-infrared region, damage of exciting light to cells is reduced in the super-resolution imaging process, and the dynamic life process of the cells under normal physiological conditions can be visualized;

This invention relates to the field of biomedical image processing technology, specifically a two-dimensional cellular two-photon image analysis system and method, comprising: an image preprocessing subsystem for acquiring and preprocessing calcium imaging video to obtain feature-enhanced images; a subcellular segmentation subsystem for segmenting the image into subcellular structures using a hybrid detection strategy, wherein the hybrid detection strategy consists of manual annotation and adaptive thresholding; and a calcium response feature extraction and analysis subsystem for detecting the fluorescence curve of the calcium response and extracting calcium response event parameter features from the segmented image. This solution can segment astrocytes of different morphologies, distinguish subcellular structures, and employ adaptive thresholding for calcium response detection and analysis, thereby improving segmentation accuracy and analysis efficiency while reducing manual and time costs.

This utility model relates to the field of biological tissue fixation technology, and discloses a device for fixing hollow organs in electron microscopy specimens. The device includes a main body, and further includes a control connection mechanism and a fixation adapter mechanism. The control connection mechanism includes an elastic pick-and-place component located at the upper end of the main body and a connection control component fixedly installed at its lower end. The fixation adapter mechanism includes a conductive support component movably located at the lower end of the connection control component and a fixation adapter component fixedly connected to its lower end. This device for fixing hollow organs in electron microscopy specimens employs a control connection mechanism and a fixation adapter mechanism, which can effectively and stably immerse hollow organ tissues in the fixative, improve the fixation effect, ensure the presentation of subcellular structures, and ensure that the device can be adapted to centrifuge tubes from different manufacturers, effectively meeting the needs of electron microscopy specimen fixation and improving the device's versatility and adaptability.

The application discloses a method for evaluating the growth performance of mangrove seedlings in a high-salinity environment of an estuary, constructs an analysis framework of a dynamic salinity stress system coupled with multidimensional monitoring technology, and realizes accurate evaluation of the environmental adaptability of the mangrove seedlings. First, aseptic germination and substrate domestication are carried out on a target estuary seed source, then a three-dimensional stress model including basic salinity maintenance, sudden salinity impact and tidal cycle fluctuation is established, the amplitude of the sudden salinity impact is strictly controlled within 20% of the historical extreme value of the estuary, three-dimensional laser scanning technology is used to synchronously obtain the crown volume and root configuration parameters of the seedlings, and a morphological database is constructed in combination with leaf apparent characteristic records; through transmission electron microscope observation, subcellular structure indexes such as cell wall thickening, chloroplast membrane integrity and mitochondrial ridge density are analyzed, the molecular mechanism of osmotic regulation and energy metabolism is revealed, and the water body suspended matter concentration, sediment oxidation-reduction potential and microbial functional diversity are synchronously monitored.

A method, device, electronic device and storage medium for screening anti-hypoxic drugs provided by the present invention relate to the technical field of drug screening. The method obtains the whole-field images of each cell group cultured in a non-hypoxic environment, cultured in a hypoxic environment without drug treatment, and cultured in a hypoxic environment with a candidate drug treatment. Using a pre-trained cell portrait segmentation network, subcellular structure images of multiple cells in each cell group are extracted from the whole-field images of each cell group and input into a pre-trained cell hypoxia scoring network to obtain the hypoxia scores of multiple cells in each cell group. According to the hypoxia scores of multiple cells in each cell group, it is determined whether the candidate drug is a drug that can improve the cell survival state under hypoxic conditions, thereby improving the screening speed and the accuracy of the screening results.

The present invention relates to, among other things, probes, compositions, methods, and kits for simultaneous, multiplexed detection and quantification of protein expression in a user-defined region of a tissue, user-defined cell, and / or user-defined subcellular structure within a cell.

This invention discloses a system for assessing ovarian cancer recurrence based on super-resolution imaging of platelet subcellular structure. The system includes a data acquisition module, a data analysis module, and an evaluation module. The data acquisition module acquires characteristic values ​​of postoperative ovarian cancer patients and submits them to the data analysis module. These characteristic values ​​include the proportion of platelets with a "regularly distributed" α-granule pattern (X1) and the serum CA125 content (X2). The data analysis module inputs the acquired characteristic values ​​into a multivariate logistic regression model to calculate a joint index (y) and submits it to the evaluation module. The evaluation module assesses the risk of postoperative recurrence based on the principle that a higher value of the joint index (y) indicates a higher risk of recurrence. Compared to the clinically used tumor marker CA125, this evaluation system has higher sensitivity and can detect signs of ovarian cancer recurrence earlier, facilitating early intervention by medical staff.

The invention relates to a genetic coding pyruvic acid fluorescent probe capable of locating a subcellular structure, a preparation method of the genetic coding pyruvic acid fluorescent probe and application of the genetic coding pyruvic acid fluorescent probe in macrophages. The probe comprises a pyruvic acid sensitive recognition structural domain, a fluorescence signal report structural domain and a subcellular localization signal peptide which can perform targeted expression in a specific subcellular structure of macrophages, so that real-time monitoring and quantitative analysis of the concentration of pyruvic acid are realized. The probe provided by the invention has the advantages of strong specificity, high sensitivity, rapid response and the like, and is suitable for cell metabolism dynamic research, power-assisted metabolism mechanism analysis and drug target discovery. In the aspect of disease research, abnormal metabolism of macrophages is closely related to myocardial infarction and the like, the malic enzyme 2 is regulated and controlled to improve the pyruvic acid level, improve the polarization state of the macrophages and enhance the anti-inflammatory and tissue repair functions of the macrophages, and the potential protection effect on ischemic heart tissue is shown. The probe disclosed by the invention is expected to be used as an important tool for researching macrophage metabolism regulation and related disease intervention means.

This invention relates to a method, apparatus, device, and medium for single-cell feature analysis based on hyperspectral coherent Raman scattering imaging, used for single-cell feature analysis. The invention provides an apparatus for performing hyperspectral coherent Raman scattering imaging of samples at different Raman shifts; the method performs hyperspectral coherent Raman imaging on samples enriched with cells using medium A, acquiring images and Raman spectra of different substances at multiple Raman shifts; a multivariate curvature resolution method is used to obtain concentration distribution maps of different substances, and an image is obtained after removing medium A; deep learning technology is used to segment single-cell regions, extracting morphological and metabolic features of cells; simultaneously, a spectral phasor method combined with Lorentz fitting is used to extract morphological and metabolic features of single cells and their subcellular structures. This invention solves the problem of medium structure occlusion, resulting in richer extracted morphological and metabolic features of cells, facilitating more accurate differentiation of cell types.

The invention discloses a single cell, single cell nucleus or single subcellular structure expansion method and application thereof. The expansion method comprises the following steps: dividing raw materials for forming the hydrogel into at least two groups, and respectively introducing the raw materials into a single cell, a single cell nucleus or a single subcellular structure; a step of forming a hydrogel by polymerization; and putting the single cell, single cell nucleus or single subcellular structure with the hydrogel inside into a hypotonic solution to expand. According to the invention, a hydrogel forming region can be controlled in a single cell, single cell nucleus or single subcellular structure, high monodispersity is still maintained after expansion, and a flowable single cell, single cell nucleus or single subcellular structure suspension can be formed; the method can be directly applied to multiple single-cell omics detection platforms such as a microfluidic liquid drop platform, a microwell plate sorting platform and an FACS sorting platform, multiple single-cell omics processes are carried out, the capture efficiency of molecules such as DNA / RNA / protein is improved, and the omics data quality is improved.