6 results about "Tissue microarray" patented technology

The invention provides a construction method of a plant tissue space transcriptome sequencing library, which comprises the following steps: fixing and embedding plant tissues to obtain embedded blocks; performing autofluorescence detection and tissue permeabilization treatment on part of the embedded blocks, and determining an autofluorescence threshold value and target tissue permeabilization time; slicing, pasting and fixing the remaining embedding blocks, and performing microscope fluorescence scanning detection and tissue permeabilization treatment on the tissue-containing chip according to an autofluorescence threshold value and target tissue permeabilization time to obtain a permeabilized tissue chip; and carrying out reverse transcription, tissue removal, cDNA release, recovery and amplification on the permeabilized tissue chip to obtain a cDNA amplification product. The plant tissue transcript constructed by the construction method is not easy to diffuse and high in capture rate, high-quality in-situ capture time-space group data can be obtained, the accuracy and the credibility are high, the sequencing accuracy is ensured, and the application value is high.

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.

The embodiment of the invention discloses a manufacturing method of a pathological tissue microarray chip of a 3D cell model, a culture chip for preparing the 3D cell model is adopted for manufacturing, the culture chip is dried after being subjected to high-temperature and high-pressure sterilization, and low-adhesion treatment is performed for standby application; selecting a cell sample with a good growth state, and culturing a 3D cell model by utilizing the treated culture chip and the cell sample; directly performing embedding pretreatment on the 3D cell model in the culture chip to obtain a pre-embedded block comprising the 3D cell model; carrying out sample embedding treatment on the pre-embedded block by adopting OCT (Optical Coherence Tomography) glue to obtain a sample embedded block; and carrying out frozen section operation on the sample embedding block by adopting a freezing slicer to obtain the pathological tissue microarray chip. The steps of sample collection, transfer, centrifugation and the like can be omitted, the problems of sample loss, damage and the like are effectively avoided, the slicing operation is simplified, and the slicing efficiency is improved; besides, by utilizing array positioning of the culture micropores, the conditions of sample aggregation, deformation, extrusion damage, overlapping shielding and the like are avoided, and the requirements of visualization, data acquisition and statistics, spatial positioning and the like of sample monomers are met.

The invention discloses an application of a glycosylated lysosomal membrane protein (GLMP) in preparation of a reagent for gastric cancer diagnosis, prognosis evaluation and treatment. Tissue microarray (TMA) immunohistochemical detection, cancer genome map (TCGA) data verification and clinical pathological characteristic and survival analysis prove that the GLMP is remarkably and highly expressed in GC tissues, and the high expression of the GLMP is related to the M stage and the TNM stage of a GC patient and can be used as an independent prognosis risk factor for predicting the adverse overall survival rate of the patient. Functional enrichment analysis shows that GLMP participates in immune related processes and extracellular matrix tissues, and is closely related to M2 type macrophage infiltration in an immunosuppressive tumor microenvironment. In-vitro experiments prove that the proliferation, migration and invasion ability of GC cells can be inhibited by knocking out the GLMP, and meanwhile, the polarization direction and chemotactic ability of macrophages are regulated and controlled. The molecular mechanism of the GLMP in GC is defined, a novel gastric cancer prognosis biomarker is provided, a novel target spot and strategy are provided for diagnosis, prognosis evaluation and targeted therapy of gastric cancer, and important clinical application value is achieved.

This invention provides an automated method and system for interpreting tissue microarray immunohistochemistry (IHC) results. The method includes acquiring and automatically cropping a full slide image, segmenting it into image blocks containing individual pathological samples, labeling target regions within the cropped image blocks to generate labeled data, which includes category information for positive and negative staining areas. After data processing, an optimized SOLOv2 instance segmentation model is trained using Dice Loss as the contour regression loss function and Focal Loss as the classification loss function to obtain a trained interpretation model. The trained interpretation model is then used to predict the image blocks at various points within the tissue microarray, outputting the immunohistochemical staining intensity grade and the percentage of positive cells for each image block, and automatically matching this with clinical information to generate structured results. This invention achieves standardized and objective interpretation of tissue microarray IHC slides, improving the consistency and efficiency of tissue microarray IHC interpretation.

An apparatus for facilitating quantitative anatomic pathology using mass spectrometry imaging includes a solid support having at least one flat surface, a tissue homogenate having a thickness mounted to the at least one flat surface of the solid support, and a quantitative array having a thickness and comprising a tissue microarray having a plurality of wells and a series of varying concentrations of an isotopically labeled metabolite deposited in the plurality of wells. The quantitative array is mounted over the tissue homogenate on the solid support.