142 results about "Tissue sections" patented technology

The invention discloses a tissue slice high-resolution mass spectrum imaging method and system based on multi-modal data fusion, and belongs to the technical field of mass spectrum imaging and biomedical detection. The method comprises the steps of multi-modal data acquisition, data preprocessing, feature extraction, multi-modal data fusion and high-resolution imaging reconstruction. High-resolution mass spectrum data and high-stability auxiliary modal data are synchronously collected, after preprocessing and feature extraction, feature weights are dynamically distributed and fused by using a fusion model based on an attention mechanism, and then a high-resolution and high-sensitivity imaging result is output through an imaging reconstruction model of a U-Net improved architecture. On the premise that the spatial resolution is not reduced and the sample is not damaged, the mass spectrum signal intensity is effectively enhanced, the low-abundance biomarker recognition capability is improved, the imaging efficiency is high, the adaptability is high, and the method is suitable for biomedical research and clinical diagnosis scenes.

The invention relates to the technical field of pathological section image recognition, in particular to a method for accurately predicting clinical prognosis of a colorectal cancer patient, which comprises the steps of full-view digital section acquisition, full-view digital section preprocessing, Transformer-dynamic agency attention-Mama network and interpretability analysis. According to the method, firstly, a tissue slice segmentation unit and a preliminary feature extraction unit are integrated, full-view digital slice feature extraction is achieved, then a Transformer-dynamic agency attention coupling architecture is adopted, time sequence dependence modeling is achieved through a multi-layer Mama module, finally, a feature aggregation unit is used for outputting patient risk scores, and the patient risk scores are obtained. And realizing visual explanation of the model decision by adopting a thermodynamic diagram. According to the method, through fusion of long sequence data processing, a dynamic agency attention mechanism and a state space modeling technology, the technical bottlenecks of insufficient feature characterization capability, difficulty in long-range dependence modeling and the like in traditional pathological image analysis are solved.

The application discloses a kind of disease data analysis intelligent chip and system based on multi-modal molecular marker, it is related to disease data processing technical field.The intelligent chip includes: molecular marker image acquisition pre-evaluation module;Molecular marker image generation eligibility evaluation module;Multi-modal molecular marker data eligibility evaluation module.The intelligent chip is in the process of multi-modal molecular marker data analysis, after executing molecular marker image acquisition pre-evaluation eligibility, molecular marker image generation eligibility evaluation is executed, after molecular marker image generation eligibility evaluation eligibility, multi-modal molecular marker data eligibility evaluation is executed, reaches the effect of improving the accuracy of molecular marker disease image group data analysis, solves the problem of low accuracy of molecular marker disease image group data analysis caused by uneven thickness of kidney biopsy frozen tissue section in the prior art.

1. Name of the product in this design: Scanner (2.5mm range spectral line confocal). 2. Purpose of this design: To photograph tissue sections after staining to obtain comprehensive image information. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention discloses a pathological image classification method and system for assisting pathological diagnosis, and aims to solve the problems that the traditional pathological diagnosis is low in efficiency and the accuracy depends on artificial experience. According to the method, a pathological image is collected, denoising, enhancement and other preprocessing operations are executed, a pre-trained deep learning model is utilized to automatically extract image features, and classification results of benign, malignant or specific disease types are output in combination with a classification algorithm, so that efficient and accurate automatic diagnosis is realized; the system integrates image acquisition, preprocessing, feature classification and result display modules, supports multi-user concurrent access and cloud deployment, is equipped with model updating and user interaction functions, and can continuously optimize model performance based on new data. In addition, remote pathological diagnosis is supported, and balanced distribution of medical resources is promoted through a digital system; the method can significantly reduce the workload of pathologists, reduces the risk of human misdiagnosis, and is suitable for rapid classification and diagnosis of various pathological images such as tissue slices, cell smears and the like.

The present invention relates to a biomarker for predicting immunotherapeutic responsiveness based on spatial transcriptome analysis and uses thereof and, in particular, to: a marker composition for predicting the responsiveness of cancer patients to immunotherapy; a composition for predicting the responsiveness of cancer patients to immunotherapy; a kit for predicting the responsiveness of cancer patients to immunotherapy, comprising the composition; a method for providing information for predicting the responsiveness of cancer patients to immunotherapy; and a method for providing information for predicting the survival prognosis of cancer patients. The biomarker for predicting immunotherapeutic responsiveness, according to the present invention, was discovered by applying spatial transcriptome technology and analyzing cell group-specific gene expression values according to location information of cells in tissue sections, and can more precisely and accurately predict the responsiveness of cancer patients to immunotherapy and the survival prognosis of patients, thus enabling suitable treatments for patient groups, which may result in improved therapeutic effects and a reduction in pain and costs for patients.

The present disclosure relates to automated systems and methods for sectioning tissue from biological tissue blocks, and more particularly to systems and methods for providing higher throughput in such automated devices. The present disclosure can implement systems and methods for increasing throughput in automated tissue sectioning devices to reduce tissue sample preparation time for multiple tissue blocks. The present disclosure further provides systems and methods for hydrating tissue samples.

Alignment of a 2D image to a corresponding 3D image is provided by writing a pattern into a 3D sample. The pattern is at known positions in the 3D image, and provides visible reference features in the 2D image. This permits accurate determination of the plane in the 3D image that corresponds to the 2D image. Improvements in this work relate to : sample preparation, for example direct staining of the tissue with a dye that binds to the tissue; alignment accuracy, for example using patterns and optics that provide better depth information; and use of the 2D images to render a 3D image where the reference features from the pattern enable the 3D rendering.

To provide a pathological condition diagnosis support system and a pathological condition diagnosis support method capable of supporting highly reliable diagnosis of a pathological condition by suppressing clouding and staining of a stretchable sheet.SOLUTION: The pathological diagnosis support system 1 includes an extension device 10 for extending a tissue section P of a cell, an imaging device 30 for acquiring image data by imaging the tissue section P, and an image analysis device 40 for calculating an index of morbidity based on a mode of cracks generated in the tissue section P due to extension by analyzing the image data, and the extension device 10 supports a stretchable sheet 60 provided with the tissue section P and extends the tissue section P together with the stretchable sheet 60. The stretchable sheet 60 has at least the first sheet surface 61 provided with the tissue section P, and the number of micropores having a maximum width of 100 μm or less per predetermined area in the first sheet surface 61 is smaller than that of the polyurethane gel.SELECTED DRAWING: Figure 1

A spatial in situ sequencing method, belonging to the field of biology, is proposed. It utilizes an electric field-assisted directed migration of mRNA and in-situ capture with primers on a microarray surface to enrich tissue and release mRNA. In-situ reverse transcription generates covalently fixed cDNA, ensuring high positional stability during multiple rounds of hybridization and imaging. After reverse transcription, tissue is digested to remove tissue, reducing spatial hindrance and background interference, while the cDNA remains at its original coordinates due to covalent anchoring. Combining coding probe hybridization and RCA, single-molecule-level signal amplification and recognition are achieved. Through decoding and single-cell segmentation, transcripts are mapped to their respective cells, constructing a single-cell resolution spatial gene expression map. This method does not rely on multi-round DAPI mapping or other endogenous morphological marker-based multi-cycle image registration methods, making it suitable for high-throughput spatial in situ sequencing and significantly improving robustness and versatility in complex imaging scenarios such as thick tissue sections and low signal-to-noise ratios. It is applicable to high spatial resolution, high-throughput spatial transcriptome research.

This invention belongs to the field of new biomedical materials and relates to a biomedical hydrogel and a biological tissue imaging method using this hydrogel. The invention first involves using a small monomer of propylene oxyalkyl urea ester to penetrate into the tissue at low temperature. By initiating the homopolymerization of this monomer or copolymerization with a crosslinking agent, a polymer hydrogel is rapidly synthesized in situ within the biological tissue, quickly forming a uniformly embedded tissue sample. The embedded sample exhibits good mechanical properties and anti-swelling properties, is easy to cut, and the hydrogel also has good biocompatibility, resulting in excellent fluorescence retention. This makes it suitable for tissue section imaging applications.

The invention belongs to the technical field of plant resistance breeding, and particularly discloses a parasitic plant resistance evaluation method. The method comprises the following steps: establishing an in-vitro co-culture system of host plants and parasitic plants; respectively counting the germination rate, nodule number, stem emergence rate and death rate of parasitic plants in the host plant resistance variety and the host plant susceptible variety at a plurality of time points; preliminarily judging the type of a resistance mechanism according to the germination rate difference; preparing interaction tissue slices of the host plant and the parasitic plant according to the type of the resistance mechanism; and evaluating the parasitic process in the interaction tissue slice to obtain stage-specific defense response characteristics, and outputting a resistance evaluation report. The method can systematically distinguish whether a parasitic plant resistance mechanism belongs to early signal obstacle or parasitic stage defense, realizes rapid and accurate positioning of a key stage of resistance action in a laboratory, and provides an accurate theoretical basis and an efficient screening tool for resistance breeding.

The application discloses a kind of matrix spraying parameter optimization method and system for mass spectrometry imaging, it is related to deep learning technical field, including: the optical image of the surface of tissue section is collected, is evenly divided into multiple grid units arranged according to row and column, optical reflectivity value is extracted, and optical reflectivity distribution diagram is constituted;Pretreatment is carried out and the hydrophilic-hydrophobic index of each grid unit is calculated;Spraying parameter prediction model outputs nozzle moving speed prediction value;Adjacent grid units in the same row and the difference of nozzle moving speed prediction value are within the preset tolerance range, and the grid units are merged into the same spraying area, the average value of the nozzle moving speed prediction value of all grid units is used as initial optimized nozzle moving speed;Optimized nozzle moving speed is obtained by correction, and the surface of tissue section is differentially sprayed with matrix solution.The technical problem that the present application solves is that the surface of the tissue is different in hydrophilic-hydrophobic, which leads to uneven spraying and low spatial resolution consistency of mass spectrometry imaging.

Described herein are gene panel compositions and methods of use thereof for spatial omic analysis in biological samples. The gene panels may be organized into distinct modules that target various aspects of immune response, tumor biology, and intercellular communication within the microenvironment. These methods involve spatial omic techniques, such as spatial transcriptomics, to localize gene expression across tissue sections, providing detailed insights into immune cell infiltration, immune checkpoint activation, and tumor-immune interactions. The disclosed compositions and methods are applicable for diagnostics, monitoring therapeutic responses, and guiding personalized treatment strategies. The modular design of the gene panels allows for customization based on specific research or clinical objectives.

The utility model discloses a paraffin tissue section tweezers cleaning device which comprises a clamping end, a base component is detachably installed at the top of the clamping end and comprises a connecting part, a fixing sleeve is detachably connected to the top of the connecting part, bristles and a wiping block are arranged on the left side and the right side in the fixing sleeve base component respectively, and the bristles are detachably connected with the connecting part. And the bristles and the wiping block extend out of the top of the fixed sleeve. The paraffin tissue slice cleaning device can quickly and effectively clean tweezers adhered with paraffin tissue slice tissue scraps, and prevents the paraffin tissue slices which are newly cut subsequently from being polluted.

The present application relates to pathological section image recognition technical field, specifically to a kind of accurate prediction colorectal cancer patient clinical prognosis method, including full field digital slide acquisition, full field digital slide preprocessing, Transformer-dynamic proxy attention-Mamba network and explainability analysis.The method first integrates tissue section segmentation unit and preliminary feature extraction unit, realize full field digital slide feature extraction, then adopt Transformer-dynamic proxy attention coupling architecture, and realize time series dependence modeling by multilayer Mamba module, finally use feature aggregation unit to output patient risk score, and use heat map to realize the visualization explanation of model decision.The present application solves the technical bottlenecks such as insufficient feature representation ability and long-range dependence modeling difficulty in traditional pathological image analysis by fusing long sequence data processing, dynamic proxy attention mechanism and state space modeling technology.

Disclosed herein, inter alia, are devices and methods for efficient transfer and analyses of cellular material, tissue samples, such as tissue sections.

A method includes forming a bone tunnel through a first bone and a second bone and inserting a flexible construct through the bone tunnel. The flexible construct includes a first anchoring element and a second anchoring element coupled by at least one flexible strand defining an adjustable loop. The at least one flexible strand includes a first end extending from the first anchoring element in an opposite direction from the adjustable loop. A length of the adjustable loop is adjusted to position the first bone and the second bone in a selected spacing. The first end of the at least one flexible strand is coupled to a tissue section using a third anchoring element.

The invention belongs to the technical field of pathological tissue section staining, and particularly relates to a hematoxylin-eosin staining method based on short-time immersion and chaotropic standing diffusion and application of the hematoxylin-eosin staining method. According to the hematoxylin-eosin staining method based on short-time immersion and chaotropic standing diffusion, the staining process time can be remarkably shortened, the working efficiency of pathological section staining can be greatly improved, the staining solution consumption and the cross contamination risk can be effectively reduced, the experiment cost is saved, and the reliability of the staining result is guaranteed; meanwhile, the dyeing uniformity and repeatability can be remarkably improved, the result deviation caused by operation difference is reduced, the dependence on the experience of an operator is reduced, and standardized popularization and application are facilitated; besides, the dyeing method disclosed by the invention is wide in applicability, can meet the dyeing requirements of conventional paraffin sections, frozen sections and trace tissue samples, can meet the use requirements under different pathological detection scenes, and has outstanding clinical and scientific research application prospects.

The present invention relates to an apparatus and method for automated tissue sectioning, including slicing and transferring tissue sections to slides.The present invention also relates to an automated system and method for transferring tissue sections onto slides using adhesive strips.

Various embodiments disclose system for determining electrical properties of tissue samples, the system comprising a tissue measurement tool comprising at least two electrodes that measure, while operating at a frequency, a set of electrical properties corresponding to a section of tissue, and a decoupling device connected to the at least two electrodes, and a classification module that computes, based on the set of electrical properties, at least an electrical impedance of the section of tissue.

The present application relates to pathological analysis technical field, specifically to a kind of pathological section intelligent analysis method and system based on deep learning, including the following steps: based on tissue section image, utilize multi-channel analysis tissue structure and dye distribution, adjust collection parameter and optimize image definition and cell structure performance, combine spatial distribution and gray layering relationship, automatically distinguish mutation area and structure boundary, output demarcation structure positioning mark.The present application is through collection sequence optimization, parameter dynamic adjustment and spatial distribution automatic discrimination, microstructure change, dye distribution and cell arrangement relationship are mapped as structure response index, realizes the efficient linkage of collection parameter and tissue characteristics, supports the synchronous identification of spatial mutation, dye layering and demarcation relationship in complex section, greatly improves the objectivity and coherence of area identification, structure annotation and demarcation positioning, avoids feature omission, enhances the integrity of data processing link and the practical depth of medical image analysis.

Methods of tagging cells with unique oligonucleotide “zipcode” constructs are provided. By these methods and associated compositions, cells in a multicellular structure such as a tissue section can be tagged with a construct, the unique composition of which is associated with the cells position in the multicellular structure. Subsequently, the multicellular structure can be dissociated into single cells and a single cell transcriptome analysis performed, as well as other types of single cell analyses. By preserving positional information in the analyzed single cells, biological processes within the tissue can be mapped. By these methods, the effects of the local environment surrounding a cell on its state and various functions can be elucidated, and intra-tissue processes can be mapped and observed. Likewise, coordinated actions by multiple cells within a tissue can be mapped and tracked over time.

The utility model provides a tissue slice gang knife, which belongs to the technical field of medical experiment appliances, and comprises a slice gang knife, the slice gang knife comprises a plurality of groups of slice knives, the top end of the slice gang knife is provided with a baffle plate, the baffle plate is provided with a through groove corresponding to the top end of a gap between adjacent slice knives, and the through groove is communicated with the baffle plate. An elastic extrusion structure is arranged on the baffle and comprises an extrusion head, elastic elements and a connecting base, the elastic elements sequentially correspond to the positions of the through grooves and are arranged between the adjacent slicing knives, and the end of the extrusion head is fixedly connected with the connecting base; the two sides of the connecting base are movably connected with the slicing row tool through the elastic elements. Guide blocks are arranged on the two sides of the extrusion head, and a rubber contact layer is arranged at the end, close to the slicing knife, of the extrusion head. The utility model can solve the problem that the slicing efficiency is slowed down due to the fact that tissues are not easy to clean when remaining in a row cutter gap.

In some embodiments, tissue microarray (TMA) core images are used to train a deep learning network that can then be deployed to computer inferences regarding whole tissue section (WTS) images (WSIs). Preprocessing aligns paired serial core images from differently stained core sections with their associated metadata and H-scores (or other label data obtained from evaluating one of the paired core sections). In some embodiment, a self-supervised learning (SSL) pre-trained encoder is used to generate patch-level embeddings from TMA core images associated with corresponding labels that are then used to train an attention-based deep learning network to generate inferences. These and other aspects of the present disclosure are more fully detailed herein.

This invention discloses a method for analyzing the distribution of plasmablasts and Treg cells based on tissue section images, belonging to the field of plasmablast and Treg cell distribution analysis technology. The method includes the following steps: labeling plasmablasts and Treg cells in tissue section images; statistically analyzing the distribution ratio of plasmablasts and Treg cells; calculating the mixed parameters of plasmablasts and Treg cells in the tissue section images; obtaining tissue section images with different prognostic effects as sample images and extracting mixed sample parameters; analyzing the correlation between mixed parameters and prognostic effects based on the mixed sample parameters; and determining whether the prognosis of mice is good based on the distribution of plasmablasts and Treg cells and the correlation. This invention addresses the problem that existing plasmablast and Treg cell distribution analysis techniques lack comprehensive and in-depth analysis of the distribution of plasmablasts and Treg cells, leading to biased assessments of prognostic effects.

The utility model relates to the technical field of slicing device, specifically disclose a pathological tissue slice device, including the slicer body, the fixedly connected with the bottom plate on the slicer body, the fixedly connected with two slide rails on the bottom plate, set up the movable moving platform of slidable on two slide rails, install the blade switching mechanism for switching rough cutting blade or fine cutting blade on the moving platform, solved the technical problem that the existing pathological tissue slice device needs manual switching blade in the process of adopting durable blade to carry out rough cutting modification and switching sharp blade to carry out fine cutting.

The invention belongs to the technical field of agricultural science, and particularly relates to a tissue slice manufacturing method capable of measuring the thickness of a mucus layer of a pig intestinal tract. The operation process is simple, the damage to tissues is small, and the detection of the intestinal mucous layer of an animal with a larger enteric cavity can be realized. The core technology capable of observing the mucous layer is to ensure that chyme is not separated from the intestinal wall in the section manufacturing link, the traditional paraffin section technology is tedious in operation process and comprises dehydration, transparency and wax immersion, and the frozen section directly enters the section link, so that the separation of chyme and intestinal wall tissues caused by treatment such as ethanol gradient dehydration and high-temperature wax immersion is avoided, and the operation process is simplified. And the sample is not easy to cut in a slicing link, and a mucus layer is not easy to separate, break or lose after dyeing. The frozen section can directly freeze chyme and intestinal tissues without damaging a mucus layer between the chyme and the intestinal tissues, so that a complete mucus layer is obtained.

The invention discloses a space omics chip probe release method and system based on image guidance, and relates to the technical field of space transcriptomics, and the method comprises the steps: obtaining an original image of a tissue slice through the shooting of a camera; wherein the tissue slice is attached to the surface of the probe coding chip; adding a probe incubation reagent into the tissue slice; preprocessing the original image, and positioning to obtain a tissue area in the original image; taking the tissue area as a tissue mask, and converting the tissue mask from camera coordinates to digital micromirror device coordinates; generating a control signal of the digital micromirror device according to the coordinates of the digital micromirror device; and in response to the control signal, projecting light generated by the light source to the tissue area by using the digital micromirror device so as to release the corresponding probe in the tissue area range in the probe coding chip. According to the method, the probe coding chip is irradiated according to the customized irradiation pattern, so that only the probe in the tissue area range is released, and accurate illumination control on the tissue area is realized.

The invention discloses a preparation method of hydrolase suitable for space transcriptome poplar capsule tissue digestion. The preparation method comprises two steps of reagent preparation and experiment. A digestion buffer solution and a washing buffer solution need to be prepared for reagent preparation, and the experimental steps comprise setting of instrument temperature, preparation of various solutions, and treatment of tissue slices, such as fixation, dyeing, cleaning, incubation and the like. The tissue digestion hydrolase solution contains various enzymes such as pectinase Y-23 and xyloglucanase and a sodium citrate buffer solution. The method provides technical support for the poplar capsule tissue in spatial transcriptome research, adapts to digestion of the poplar capsule tissue, adopts common enzymes, reduces cost, has low technical requirements on experimenters, has a good digestion effect and a clear cell structure, provides a high-quality sample for subsequent research, and is beneficial to revealing molecular characteristics of the poplar capsule tissue.