1124 results about "Tissue sample" patented technology

The invention provides a bioelectrical impedance lung cancer detection method based on artificial intelligence, which comprises the following steps: acquiring multi-dimensional electric signal data of a tissue sample, preprocessing the data, and acquiring preliminary feature representation of the sample through a static spatial feature extraction method; based on the time sequence characteristics of the signals, constructing a dynamic feature extraction model, extracting dynamic features from time sequence association, and mining the difference and regularity between samples; static space features and dynamic time sequence features are fused, multi-dimensional attributes of signals are comprehensively analyzed, high-dimensional key feature representation is generated, the distinguishing capacity and reliability of the features are improved, and attention to the key features is enhanced; according to the method, the characteristics of a sample are fused, the fused characteristics are analyzed and classified, the normal state and the abnormal state of the sample are judged in combination with model output, finally, accurate detection and diagnosis results are achieved, the performance of the method on various bioelectrical impedance data sets is superior to that of a traditional method, and the sensitivity and specificity of lung cancer detection are effectively improved.

The disclosure provides a method for immunotherapy of a subject afflicted with cancer, comprises administering to the subject a composition comprising a therapeutically effective amount of an antibody that inhibits signaling from the PD-1 / PD-L1 signaling pathway. This disclosure also provides a method for immunotherapy of a subject afflicted with cancer comprising selecting a subject that is a suitable candidate for immunotherapy based on an assessment that the proportion of cells in a test tissue sample from the subject that express PD-L1 on the cell surface exceeds a predetermined threshold level, and administering a therapeutically effective amount of an anti-PD-1 antibody to the selected subject. The invention additionally provides rabbit mAbs that bind specifically to a cell surface-expressed PD-L1 antigen in a FFPE tissue sample, and an automated IHC method for assessing cell surface expression in FFPE tissues using the provided anti-PD-L1 Abs.

The present disclosure relates to systems and methods for facing a tissue block. In some embodiments, a method is provided for facing a tissue block that includes imaging a tissue block to generate imaging data of the tissue block, the tissue block comprising a tissue sample embedded in an embedding material, estimating, based on the imaging data, a depth profile of the tissue block, wherein the depth profile comprises a thickness of the embedding material to be removed to expose the tissue sample to a pre-determined criteria, and removing the thickness of the embedding material to expose the tissue to the pre-determined criteria.

The invention provides a construction method of a predictive cell senescence model, a method for predicting the senescence state of a tissue sample based on the senescence model, a method for screening potential therapeutic drugs, equipment, a medium and a program product, and relates to the field of intelligent medical treatment. The model construction method comprises the following steps: acquiring a training set sample expression profile data set; identifying a key senescence gene set from the data set by using a feature selection algorithm; inputting the key senescence gene set into a machine learning model to fit a prediction model, and determining an optimal hyper-parameter to obtain a cell senescence model containing the weight of a single gene in the key senescence gene set; the cell senescence model is a senescence score obtained by calculating the sum of the product of the expression quantity of a single gene and the regression coefficient thereof. The cell senescence model, namely PreCSenM, is constructed by integrating a plurality of senescence characteristic gene sets and a gene scoring algorithm, the accuracy in CS evaluation is superior to that of 10 existing methods, and the application of CS from biological research to clinical scenes is also realized.

The invention discloses a gastric cancer multi-omics marker detection method, system and device, and the method comprises the following steps: S1, collecting a public database open-source space transcriptome, a single cell sequencing sample and bulk-RNAseq data for pre-processing, and collecting a primary tissue sample of a gastric cancer patient in the center for data processing; s2, integrating different modal data samples to obtain a patient label of an input end, and constructing a marker detection model and training the marker detection model; and S3, extracting a target feature value from the input external pathological section by using the trained model, and generating a diagnosis prediction result. Through multi-modal data chimerism, algorithm optimization and AI system development, subpopulation cell marker proportion prediction and prognosis diagnosis and marker evaluation with population prognosis information are realized, and an integrated diagnosis scheme for breaking through molecule-space-prognosis information is constructed.

Apparatuses and methods for recovering solid tissue and dislodged cells (“D-cells”) from a biopsy are disclosed herein. In an embodiment, a biopsy container apparatus for recovering solid tissue and D-cells from a biopsy includes a receiving container and a sieve container. The receiving container has a receiving chamber with an upper opening and a watertight bottom surface. The sieve container is configured to be located at least partially within the receiving chamber and removed from the receiving chamber through the upper opening. The sieve container has a bottom sieve surface including a plurality of apertures configured to pass the D-cells from the biopsy but not the solid tissue from the biopsy into the receiving chamber after the solid tissue and the D-cells from the biopsy are placed into the sieve container.

The disclosure provides a method for immunotherapy of a subject afflicted with cancer, comprises administering to the subject a composition comprising a therapeutically effective amount of an antibody that inhibits signaling from the PD-1 / PD-L1 signaling pathway. This disclosure also provides a method for immunotherapy of a subject afflicted with cancer comprising selecting a subject that is a suitable candidate for immunotherapy based on an assessment that the proportion of cells in a test tissue sample from the subject that express PD-L1 on the cell surface exceeds a predetermined threshold level, and administering a therapeutically effective amount of an anti-PD-1 antibody to the selected subject. The invention additionally provides rabbit mAbs that bind specifically to a cell surface-expressed PD-L1 antigen in a FFPE tissue sample, and an automated IHC method for assessing cell surface expression in FFPE tissues using the provided anti-PD-L1 Abs.

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

For a biopsy guided by contrast-enhanced x-ray imaging, a breast imaging system may image a patient's breast subsequent to injection of contrast agent to locate a site for biopsy and / or position a biopsy device relative to the site. Once a tissue specimen is removed from the site for diagnostic evaluation, a confirmation that the specimen was removed from an intended area of interest for biopsy is performed using the systems and methods described herein. For example, the breast imaging system and / or a separate specimen imaging system may capture high and low energy images of the specimen, subtract the low energy image from the high energy image to generate a subtracted image of the specimen, and determine, based on the subtracted image, that the contrast agent is present within the specimen to confirm the site from which the specimen was removed is the intended site for biopsy.

The disclosure provides a method for immunotherapy of a subject afflicted with cancer, comprises administering to the subject a composition comprising a therapeutically effective amount of an antibody that inhibits signaling from the PD-1 / PD-L1 signaling pathway. This disclosure also provides a method for immunotherapy of a subject afflicted with cancer comprising selecting a subject that is a suitable candidate for immunotherapy based on an assessment that the proportion of cells in a test tissue sample from the subject that express PD-L1 on the cell surface exceeds a predetermined threshold level, and administering a therapeutically effective amount of an anti-PD-1 antibody to the selected subject. The invention additionally provides rabbit mAbs that bind specifically to a cell surface-expressed PD-L1 antigen in a FFPE tissue sample, and an automated IHC method for assessing cell surface expression in FFPE tissues using the provided anti-PD-L1 Abs.

The present disclosure relates in some aspects to methods for analyzing target nucleic acids and their spatial locations in a biological sample. In some aspects, the presence / absence, amount, and / or identity of variant sequences (e.g., single nucleotide variations such as SNPs or point mutations) in a plurality of target nucleic acids in a cell or tissue sample are analyzed in situ in the sample. Also provided are compositions and kits for use in accordance with the methods.

An example method includes identifying an image of a tissue sample obtained from a subject. The tissue sample includes at least one cancer cell and at least one non-cancer cell. The example method further includes identifying the at least one non-cancer cell depicted in the image; generating a metric based on the at least one non-cancer cell depicted in the image; and predicting, based on the metric, whether the at least one cancer cell is susceptible to at least one treatment.

The invention provides a tumor living body sampling device, and relates to the field of biological sampling, the tumor living body sampling device comprises: a sampler main body, the sampler main body is a pistol-shaped structure; the inner sampling needle is coaxially and rotatably connected to the inner side of the reversing seat, the inner sampling needle is rotatably connected to the inner side of the sampling outer cylinder, the right cross sections of the sampling outer cylinder and the inner sampling needle are of arch-shaped structures, and the right end parts of the sampling outer cylinder and the inner sampling needle are of needle-shaped spine structures; hollow sampling openings are formed in arch-shaped parts on the right sides of the sampling outer cylinder and the inner sampling needle; the sampling transmission assembly is arranged in the sampler main body, and the sampling operation block drives the sampling outer cylinder and the inner sampling needle to rotate reversely at the same time through the sampling transmission assembly. The tumor tissue is rapidly and completely cut off, tearing damage is avoided, samples are isolated from the tissue, the samples are prevented from being mixed, and the problems that in the existing sampling process, the tissue is difficult to effectively cut off, tissue tearing is easily caused, and tissue samples are not pure are solved.

Methods for multiple instance learning of tissue sample images are described. The methods may comprise, for example, receiving a whole slide image from a needle core biopsy sample from a subject; identifying a tissue region in the whole slide image; selecting a set of image patches from the identified tissue region; resampling the set of image patches at a plurality of image scales to generate a plurality of resampled image patches; generating image representations for the plurality of resampled image patches; extracting feature vectors based on the image representations; providing the feature vectors as input to a trained machine learning model configured to predict a gene alteration state; and outputting the predicted gene alteration state for the needle core biopsy sample for the subject.

The invention provides a tissue protection solution and application thereof. The tissue protection liquid comprises a basic culture medium; vitamins, wherein the vitamins comprise vitamin E; the antioxidant is prepared from at least one of N-acetylcysteine amide, superoxide dismutase and catalase; and a specific cell factor, wherein the specific cell factor comprises at least one of a ROCK inhibitor Y27632 and insulin. Therefore, when the tissue protection liquid is used for storing and transporting a tissue sample, the loss in the process from tissue sample separation to experiment starting can be reduced, the function and activity of tissue cells are ensured, and the success rate of establishment of various primary tissue cultures is effectively improved.

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

A disease marker expression network reconstruction feature key point determination method belongs to the technical field of disease markers, and comprises the following steps: processing a to-be-detected tissue sample to obtain marker multi-dimensional data; performing wavelet decomposition on the marker multi-dimensional data to obtain a marker multi-scale coefficient, wherein the marker multi-scale coefficient comprises a reference component, a high-frequency component, an intermediate-frequency component and a low-frequency component; constructing a frequency domain incidence matrix based on the marker multi-scale coefficient, wherein the frequency domain incidence matrix represents the incidence intensity between different frequency components; constructing a network reconstruction model according to the frequency domain incidence matrix and multi-scale weights, wherein the multi-scale weights comprise a reference weight, a high-frequency weight, an intermediate-frequency weight and a low-frequency weight; the existing marker expression network reconstruction and key node identification method has some limitations, and the technical problem that the method for determining the reconstruction feature key points of the disease marker expression network in the prior art is not accurate enough is solved.

An unmanned aerial vehicle (UAV), such as a multicopter, can be equipped with unique tools for use in agricultural operations. For example, the tools can be acquisition tools that can acquire a physical sample from a growing plant, such as a crop. The tools could also acquire physical specimens from areas around the plants. In addition, the UAV could be equipped with sensors, such as imagery acquiring devices (e.g., cameras, LIDAR, time of flight sensors, etc.) to acquire even additional information. The tools can be equipped via movable arms and / or end effectors to be able to directly contact the plants and / or soil. The longevity of the flight time of the UAV can be improved by tethering, improved batteries, or other add-ons to be able to acquire more information.

The utility model relates to the technical field of fixation and preservation of biological tissue samples, and provides an embedding mold for multiple frozen tissues, which comprises a base, a plurality of clamping pieces, a plurality of clamping pieces and a plurality of clamping pieces, and is characterized in that the top surface is provided with a pair of centrosymmetric supporting blocks; the sleeve is detachably arranged outside the pair of supporting blocks in a sleeving manner; wherein the pair of supporting blocks are arranged at an interval of 180 degrees, and the outer side walls of the supporting blocks are attached to the inner side wall of the sleeve in a transition fit mode; the sleeve is as high as the supporting block, and an accommodating cavity is defined by the inner side wall of the sleeve and is used for embedding the plurality of strip-shaped frozen tissue blocks in a vertical form. The containing cavity formed in the sleeve is changed into a columnar shape with enough depth from an existing flat shape with limited depth, the problems that the tissue structure is incomplete and an OCT embedding medium overflows are directly solved, the edge of a tissue combined block is smooth, slicing is facilitated, meanwhile, a plurality of strip-shaped frozen tissue blocks are embedded in a vertical mode, and the working efficiency is improved. The height of the tissue block is unified, the size of the tissue block is fixed, and the problems that sample loss is large and tissue arrangement is too close to the edge are solved.

The invention relates to the technical field of digital pathology acquisition, and discloses a digital pathology picture acquisition method. The method comprises the following steps: acquiring sample characteristic data such as thickness, dyeing degree and structural characteristics of a tissue sample to be detected, and determining initial image acquisition parameters including exposure time, image resolution and optical magnification; and meanwhile, environment condition data such as temperature, humidity and environment illumination intensity of a scanning environment are collected, so that whether the initial parameters are adjusted or not is judged. When adjustment is needed, collecting preliminary image data, extracting quality features including image definition, color accuracy and detail retention degree, calculating feature values, and comparing the feature values with historical image quality feature values in a historical database; and if the same characteristic value does not exist in the historical database, calculating the similarity, and adjusting the initial image acquisition parameters according to the comparison result or the similarity. According to the method, sample characteristics and environmental conditions are comprehensively considered, and the quality of the digital pathological picture is effectively improved.

The present invention relates to a method for the ex vivo molecular diagnosis of gastrointestinal stromal tumors, comprising the steps of: providing at least one isolated tissue sample comprising at least one nucleic acid and the subsequent extraction of the at least one nucleic acid. The method according to the present invention further comprises a step of quantifying the at least one previously isolated nucleic acid. Furthermore, the method according to the present invention comprises preparing at least one amplicon library of said previously isolated nucleic acid, which comprises sequences obtained from the FGFR1, NF1, SDHA, SDHB, SDHC and SDHD genes. This step is followed by the step of purifying the at least one amplicon library and the step of simultaneously sequencing the amplicons themselves. The present invention also relates to a multi-gene panel for ex vivo molecular diagnosis of gastrointestinal stromal tumors and a kit comprising such a panel.

A method of virtual staining of a tissue sample includes obtaining multiple sets of imaging data. The imaging data depicts a tissue sample and has been acquired using multiple imaging modalities. Further, the method includes fusing and processing the multiple sets of imaging data in a machine-learning logic. The machine-learning logic is configured to provide at least one output image. Each one of the at least one output image depicts the tissue sample comprising a respective virtual stain.

Disclosed herein are systems and devices for wound therapy and related methods of use. The systems and devices for wound therapy and related methods of use disclosed herein may comprise one or more cartridges for preparation of a regenerative epidermal suspension. One or more cartridges for preparation of a regenerative epidermal suspension may comprise a cover with a raised processing opening, a cup that can be received within the raised processing opening and has a screen, and a well plate that is positioned under the cover, has a well, and rotates relative to the cover such that the well aligns with the raised processing opening. One or more cartridges for preparation of a regenerative epidermal suspension comprises a cover with an opening that can receive a tissue sample.

Compositions and methods for assessing relative macromolecule abundance (for example, RNA expression levels) in a spatially-defined manner across a tissue sample (for example, from brain, lung, liver, kidney, pancreas, and / or heart) are disclosed, specifically providing deep transcriptomic coverage at high-resolution (for example, at approximate 10 μm (single cell) resolution) across multiple locations assessed across the tissue sample.

A tamper for making paraffin blocks for histology may include a pliable tamper head and a handle. The handle may be permanently or removably attached to the tamper by using screws, magnets, or the like. The tamper may be made from a pliable material, such as a silicone rubber, with improved thermal transfer and high latent heat. In use, the tamper may be warmed in advance to a working temperature by placing the tamper on a hot plate of the embedding station or on a dedicated smaller hot plate. Alternatively, the tamper may be heated with an electric resistive element, a thermoelectric device, or an electric induction coil.

A system for optical interrogation of tissue samples, the system including: a microtome configured to section one or more tissue sections from a tissue block, the one or more tissue sections including one or more tissue samples; a transfer medium configured to gather the one or more tissue sections and to transfer the one or more tissue sections to one or more slides; and an optical interrogation system including an illumination system configured to illuminate the one or more tissue sections and an imaging system configured to perform an imaging analysis on the one or more tissue sections illuminated with the illumination system.

An example computer-implemented method for determining patient-specific tumor dynamics is described herein. The method includes receiving an image of a tissue sample that includes a distribution of tumor cells and non-tumor cells; applying a spatial correlation function to the image; and obtaining a power spectral density of the spatial correlation function of the image. The method also includes fitting the power spectral density of the spatial correlation function of the image to the power spectrum of a reaction-diffusion model; and inferring a patient-specific tumor-dynamic coefficient based on the reaction-diffusion model of cancer.

The invention discloses a method and system for evaluating the treatment effect of traditional Chinese medicine based on single cell and spatial transcriptome data, and the method comprises the following steps: respectively obtaining single cell data and spatial transcriptome data of a tissue sample before and after administration, and carrying out the preprocessing; classifying the cells and identifying cell types; the expressed ligand and receptor genes are paired to obtain ligand-receptor pairs, and the ligand-receptor pairs which are differentially expressed before and after administration are screened out; acquiring space coordinate information of a single cell, and constructing a cell interaction network and a differential gene network according to the cell type, the ligand-receptor pair and the space coordinate information; weighting processing is conducted on the cell interaction network and the differential gene network, and comprehensive indexes for evaluating the effect of the traditional Chinese medicine are obtained.The brand-new method for evaluating the disease treatment effect of the traditional Chinese medicine is provided, the method is scientific and reliable, and the treatment effect of the traditional Chinese medicine on complex diseases can be accurately reflected.

This invention relates to the field of optical imaging and detection technology, specifically providing a broadband snapshot-type polarization interferometry imaging detection system and method for breast tumors. A broadband light source illuminates a breast tumor tissue sample. The reflected signal light is collected and collimated by a pre-optical system, then sequentially passes through a first and a second ray shaping unit for two shearing and two polarization state transformations, resulting in two beams of linearly polarized light and two beams of circularly polarized light. These beams are imaged by an imaging lens to an area array detector to obtain a polarization interferogram, which is then demodulated to obtain all Stokes parameters of the breast tumor tissue sample. This invention achieves broadband snapshot imaging of breast tumors with all Stokes parameters without using an analyzer, doubling the light throughput compared to traditional polarization imaging instruments using analyzers. Furthermore, this invention has advantages such as compact structure, no moving parts, easy assembly and adjustment, and no need for image registration.

The invention provides an experimental dyeing result image processing and calculating method. The method comprises the following steps: identifying a dyeing positive region in a preprocessed tissue sample digital image by using a first identification model, and carrying out area quantification on the identified dyeing positive region to obtain positive region area data; using a second recognition model to recognize and extract the intracellular cavitation region in the preprocessed tissue sample digital image, and performing area quantification on the extracted intracellular cavitation region to obtain cavitation region area data; calculating a dyeing positive region area proportion based on the positive region area data, and calculating a cavitation region area proportion based on the cavitation region area data; and inputting the area proportion of the dyeing positive region and the area proportion of the cavitation region into a preset disease evaluation model, and outputting a disease state evaluation result. According to the method, the accuracy and comprehensiveness of experimental dyeing image analysis are improved, and the automation degree and result credibility of pathological analysis can be remarkably improved.