23 results about "Haematoxylin" patented technology

Methods for dyeing suture material that include incubating the suture material in a high temperature staining bath comprising hematein are disclosed. The staining bath may include a nonionic surfactant. The method is carried out in the absence of chromium salts. Also disclosed are (i) a dyed suture material produced by the methods and (ii) a surgical suturing kit that includes the dyed suture material.

A method for automatic mitosis detection based on data and feature diversity is provided, in which a training-free hematoxylin-based detection approach is employed to obtain candidate samples; a balanced sampling strategy is applied to remove redundant information from the candidate samples, balance the data volume, and maintain sample diversity and eliminate easy samples, so as to obtain balanced and representative training dataset that facilitate a classifier in learning representative features; in view of the morphological complexity of mitotic cells, a jointly trained classifier is designed, in which subclass division is performed based on binary classification, the divided subclasses are used as pseudo-labels, and the classifier is trained with parent-class labels and subclass pseudo-labels to obtain a parent-subclass joint classifier. A system for implementing such method is also provided.

The application relates to the technical field of medical data processing, and discloses a training method of a pathological image recognition model, a pathological image recognition method and device, the training method of the pathological image recognition model comprising the following steps: obtaining a plurality of histopathological image samples; for part or all of the histopathological image samples, converting a color space into an H&E space to obtain an initial H&E space image, the H&E space comprising two color channels, namely a hematoxylin color channel and an eosin color channel; for the initial H&E space image, using a B-spline curve function to perform dyeing enhancement processing or dyeing weakening processing on at least one color channel to obtain a target H&E space image; and using the histopathological image samples and the target H&E space image to train a pre-constructed histopathological image recognition model. The application can improve the generalization ability of the histopathological image recognition model, and further improve the accuracy.

The application discloses a colorectal cancer HER2 state classification method based on a double-branch cooperative optimization network and belongs to the technical field of pathological image processing. The application adopts a double-path cooperative optimization framework, combines knowledge transfer and cross-modal feature re-projection, efficiently extracts features related to the HER2 state from a conventional hematoxylin-eosin (H&E) staining section, and can directly accurately judge the HER2 state. Through the prior knowledge transfer and cross-modal feature re-projection mechanism, the application breaks through the bottlenecks such as insufficient utilization of prior knowledge and modal heterogeneity interference in the traditional method, and significantly improves the accuracy and robustness of the colorectal cancer HER2 state classification.

Embodiments access a digitized image of tissue demonstrating non-small cell lung cancer (NSCLC), the tissue including a plurality of cellular nuclei; segment the plurality of cellular nuclei represented in the digitized image; extract a set of nuclear radiomic features from the plurality of segmented cellular nuclei; generate at least one nuclear cell graph (CG) based on the plurality of segmented nuclei; compute a set of CG features based on the nuclear CG; provide the set of nuclear radiomic features and the set of CG features to a machine learning classifier; receive, from the machine learning classifier, a probability that the tissue will respond to immunotherapy, based, at least in part, on the set of nuclear radiomic features and the set of CG features; generate a classification of the tissue as a responder or non-responder based on the probability; and display the classification.

The invention belongs to the technical field of artificial intelligence and digital pathology crossing, and relates to a regulatory T cell infiltration prediction method based on a digital pathological section. According to the method, a conventional hematoxylin-eosin dyed full-section digital image is used as input, and an analysis range is limited through tissue region segmentation and tumor region positioning; extracting multi-scale morphological characteristics of the visual field units in the tumor area, and constructing a graph neural network coding local-global space context; on the premise of taking an adjacent section immunohistochemical quantification or transcriptome immune deconvolution result as a supervision signal, improving the robustness of a cross-staining batch and a cross-scanning condition by adopting regression learning in combination with adversarial regularization and transfer learning; and outputting regulatory T cell infiltration density or grade and thermodynamic diagram visualization, and further giving uncertainty and spatial heterogeneity indexes for review and decision support.

A method of displaying biological image data in an interface application on a digital pathology analysis system includes: receiving a first user input pertaining to a first patient case; contacting a remote server for one or more stored biological image tiles corresponding to the received first user input, wherein the stored biological image tiles are derived from scans of microscope slides having one or more biological samples disposed thereon, the biological samples stained with hematoxylin and eosin or stained to identify presence of one or more biomarkers; receiving location information for the one or more stored biological image tiles corresponding to the first user input; retrieving the one or more stored biological image tiles pertaining to the first user input based on the received location information; and visualizing the retrieved one or more biological image tiles pertaining to the first user input.

Methods for dyeing suture material that include incubating the suture material in a high temperature staining bath comprising hematein are disclosed. The staining bath may include a nonionic surfactant. The method is carried out in the absence of chromium salts. Also disclosed are (i) a dyed suture material produced by the methods and (ii) a surgical suturing kit that includes the dyed suture material.

The application belongs to the technical field of artificial intelligence and digital pathology, and relates to a regulatory T cell infiltration prediction method based on digital pathological sections. The method takes a conventional hematoxylin-eosin staining whole section digital image as input, limits the analysis range through tissue region segmentation and tumor region positioning, extracts multi-scale morphological features on a field unit in the tumor region, and constructs a graph neural network to encode local-global spatial context. Under the premise of taking adjacent section immunohistochemical quantification or transcriptome immunodeconvolution results as a supervision signal, regression learning is adopted, combined with adversarial regularization and transfer learning to improve the robustness of cross-staining batches and cross-scanning conditions. The output is the regulatory T cell infiltration density or grade and a heat map visualization, and further uncertainty and spatial heterogeneity indicators can be given for review and decision support.

Methods for dyeing suture material that include incubating the suture material in a high temperature staining bath comprising hematein are disclosed. The staining bath may include a nonionic surfactant. The method is carried out in the absence of chromium salts. Also disclosed are (i) a dyed suture material produced by the methods and (ii) a surgical suturing kit that includes the dyed suture material.

The invention discloses application of cryptotanshinone in preparation of a medicine for treating vascular endothelial cell injury, and belongs to the technical field of medicines. The application of the cryptotanshinone in preparing the medicine for treating the vascular endothelial cell injury is provided for the first time, a new treatment scheme is provided for the vascular endothelial cell injury, and the pharmaceutical application of the cryptotanshinone is expanded. According to the application disclosed by the invention, by culturing human umbilical vein endothelial cells, the influence of the P. gingivalis-sourced lipopolysaccharide on an HUVEC transcriptome is evaluated; constructing an in-vivo lung injury rat model, and utilizing hematoxylin amp; the protection effect of cryptotanshinone on pulmonary edema and pathological injury of rats is evaluated through methods of porphyromonas gingivalis infection, eosin staining, blood gas analysis and the like, and an experimental basis is provided for vascular endothelial cell injury and dysfunction caused by porphyromonas gingivalis infection.

The present disclosure provides stabilized hematoxylin formulations having a pH of less than 2.4. The present disclosure also provides methods of using such stabilized hematoxylin formulations to stain biological samples.

The invention discloses a preparation method of a hematoxylin imprinted nano material based on an ultralow-density magnetic carrier. The preparation method comprises the following steps: firstly, preparing a nano magnetic hollow carrier by utilizing a pore-foaming agent and a solvothermal method, and then carrying out boric acid functional modification on the surface of the carrier through chemical modification. And finally, adding the nano boric acid nano magnetic hollow carrier and hematoxylin into a solvent for prepolymerization, then adding a cross-linking agent and a catalyst, and preparing the hematoxylin imprinted material by using a surface molecular imprinting technology. The hematoxylin imprinted material prepared by the invention has an ultralow-density magnetic carrier, shows excellent magnetic response enrichment capacity, has excellent specific recognition capacity and efficient adsorption capacity on hematoxylin, and can be used for rapid, efficient and selective adsorption and detection of hematoxylin in a complex environment.

This invention provides a method for detecting spatial proteomics and spatial phosphorylation modification omics. The method includes the following steps: (1) obtaining two consecutive sections of the target tissue and staining the sections with hematoxylin-eosin to obtain stained sections; (2) using a 3D printing mold to cut the stained sections into continuous, gapless strip-shaped subunits; (3) extracting peptides from the strip-shaped subunits and enriching the peptides by phosphorylation modification; (4) performing chromatographic separation and mass spectrometry detection on the phosphorylation-enriched peptides to obtain one-dimensional omics information of each strip-shaped subunit; (5) using the image of the stained sections as a spatial reference, reconstructing the one-dimensional omics information into a two-dimensional spatial distribution to obtain the spatial distribution of the target omics biomolecules. The method of this invention only requires two tissue sections to simultaneously obtain two-dimensional spatial proteomics and spatial modification omics results, which is friendly to small clinical samples.

The invention relates to the technical field of medical research, in particular to a method for evaluating the invasive growth mode of hepatocellular carcinoma based on multiple pathological staining technologies, which comprises the following steps: taking liver tissue, pretreating a specimen, preparing a slice, and obtaining a specimen slice; dyeing the specimen sections by using hematoxylin-eosin dyeing, and analyzing the dyeing condition; the method comprises the following steps: respectively carrying out masson staining and specific immunohistochemical staining on a key junction region of a specimen section on the basis of a staining condition, and evaluating an invasive growth mode of hepatocellular carcinoma, so that the invasive growth mode of hepatocellular carcinoma is evaluated by carrying out multi-dimensional observation and analysis on the junction region of hepatocellular carcinoma tissue and multiple adjacent structures; three pathological technologies of basic morphology, fibrosis evaluation and specific cell localization immunohistochemical staining are combined, mutual verification is carried out, the limitation of a single technology is made up, and a new pathological basis is provided for accurately knowing the growth characteristics and invasion potential of hepatocellular carcinoma and formulating an individualized diagnosis and treatment strategy.

The invention provides pogostemon cablin homogeneous polysaccharide PC-B-1 as well as a preparation method and application thereof, and belongs to the technical field of biological medicines. The invention provides pogostemon cablin homogeneous polysaccharide PC-B-1 and application thereof in preparation of a medicine for treating ulcerative colitis. A DSS-induced mouse ulcerative colitis model proves that PC-B-1 can significantly improve disease symptoms, including inhibition of weight loss, relieving of colon shortening and regulation of immune organ indexes. Histopathologic analysis (hematoxylin-eosin staining and alsine blue-periodate Schiff's staining) further shows that the PC-B-1 can effectively relieve inflammatory infiltration of the colonic mucosa and promote repair of goblet cells and mucus. The polysaccharide PC-B-1 with a novel structure is separated and identified from pogostemon cablin, and it is proved that the polysaccharide PC-B-1 has remarkable anti-inflammatory and intestinal mucosa protection activity and is expected to be developed into drugs for treating ulcerative colitis.

The utility model discloses a kind of dyeing instruments of hematoxylin and eosin solution concentration determination and adjustment, including the shell body of upper end open mouth, chain clamping structure is equipped in the top of shell body;Several liquid storage barrels are equipped with interval in shell body and the top of the liquid storage barrel is open, the bottom of the liquid storage barrel for storing hematoxylin and eosin solution and the liquid storage barrel for storing fresh water located in the right side of the liquid storage barrel are each equipped with drip device;Concentration detection structure is also equipped in shell body below drip device;It also includes concentration adjustment structure being equipped in the bottom of each liquid storage barrel, and the concentration adjustment structure, chain clamping structure, drip device, concentration detection structure are all with the controller of being equipped on the side wall of shell body electrical connection.The utility model has the advantages of being able to determine and adjust hematoxylin and eosin solution concentration to ensure dyeing quality and reduce waste, effectively improve work efficiency and pathological report accuracy to assist surgeon to formulate next operation plan in time.

A pathological evaluation method for endoscopic submucosal dissection comprises the steps in which: an analysis device receives an input of a Haematoxylin and eosin (H&E) stained image of a specimen; the analysis device identifies a region of interest by inputting the H&E stained image to a segmentation model; and the analysis device evaluates a submucosal invasion state of the specimen according to the ratio of a tumor region in a specific muscularis mucosae region of the region of interest.

The present application belongs to the technical field of lung injury treatment and relates to the use of soy extract for the prevention or treatment of uranium-induced lung injury. More specifically, this application relates to the use of soy extract for the manufacture of a medicament with one or more of the following uses: a) improvement of pulmonary fibrosis in a uranium-exposed individual; b) increase of uranium excretion capacity in a uranium-exposed individual; and c) prevention or treatment of uranium-induced lung injury. In this application, the protective effect of soy extract (SE) was investigated in a mouse model of uranium-induced lung injury. The results showed that soy extract can improve pulmonary fibrosis in a uranium-exposed individual.Treatment with soy extract (SE) alleviated uranium-induced pulmonary fibrosis, simultaneously reducing the expression of α-SMA, TGF-β1, and Hyp, and improving uranium-induced pathological changes in lung tissue. Compared to the uranium group, the SE+U group showed a significant reduction in lung uranium concentration of 18.8%. Hematoxylin and eosin staining also revealed a significant reduction in the histological infiltration of inflammatory cells. Soy extract thus possesses a certain protective effect against uranium-induced lung damage.

The application provides a uniform polyose PC-B-1 of pachouli, a preparation method and application thereof, and belongs to the technical field of biological medicine. The application provides the uniform polyose PC-B-1 of pachouli and application thereof in preparation of a medicine for treating ulcerative colitis. Through a DSS-induced mouse ulcerative colitis model, it is confirmed that PC-B-1 can significantly improve disease symptoms, including inhibiting body weight loss, relieving colon shortening and regulating immune organ index. Histopathological analysis (hematoxylin-eosin staining and alcian blue-periodic acid Schiff staining) further shows that PC-B-1 can effectively reduce colon mucosa inflammatory infiltration and promote repair of goblet cells and mucus. The application separates and identifies the novel polyose PC-B-1 from pachouli, and confirms that the polyose has significant anti-inflammatory and intestinal mucosa protection activity, and is expected to be developed into a medicine for treating ulcerative colitis.

The present invention provides a computer-implemented training method for cell-level detection and prediction of cancer biomarker associated features. The method comprises obtaining, for each of a plurality of cancer biopsy samples, a multiplex immunohistochemistry (mIHC) image and corresponding hematoxylin and eosin (H&E) stained tissue image, aligning the corresponding mIHC and H&E stained tissue images, obtaining a labelled cell tile dataset by labelling the H&E images based on the cell labels from the corresponding mIHC images, training a deep learning classifier model, using the labelled cell tile dataset, for classifying specified cell specificity states and training a conditional generative adversarial network model to map cell image features onto a latent space and generate synthetic H&E images, corresponding to specified cell specificity states, from the latent space.

A rapid fresh digital-pathology (RFP) method for assessing an excised unfixed biological specimen stained with hematoxylin (H) or eosin (E) or both hematoxylin and eosin (HE) staining dyes. The RFP method is assisted by a rapid tissue staining (RTS) procedure which is performed on the excised unfixed biological specimen, involving a short fixation; an H-staining; a rinsing; a bluing; an E-staining; a rinsing; and finally, a covering of a stained specimen with a coverslip. The RFP method is further assisted by a multimodal nonlinear optical laser-raster-scanning approach to provide with a nonlinear multi-harmonic generation and / or a nonlinear multi-photon excitation fluorescence signal(s) for multichannel digitization and real-time digital display of H- or E- or HE-specific histopathological features while providing a centimeter-scale imaging area, a submicron digital resolution, and a sustained effective data throughput of at least 500 Megabits per second (Mbps).