48 results about "H&E Staining Method" patented technology

This invention provides a PAM staining method that enables staining suitable for magnified observation of various samples using a range of microscopes, from optical microscopes to electron microscopes. [Solution] A PAM staining method comprising the steps of: silvering a biological sample; coloring the biological sample; and fixing the color of the biological sample, wherein the biological sample is a biologically derived sample that has been oxidized; the silvering step involves immersing the biological sample in a methenamine silver aqueous solution at room temperature, raising the methenamine silver aqueous solution from room temperature to 62°C or higher and 68°C or lower, and carrying out the silvering reaction for 30 to 40 minutes from the start of the reaction at room temperature; the coloring step involves immersing the silvered biological sample in a 0.2% gold chloride aqueous solution at room temperature for 8 to 12 hours; and the fixing step involves immersing the sample in a hard film fixing solution containing 11% to 13% sodium thiosulfate and aluminum potassium sulfate dodecahydrate for 3 minutes or more at room temperature.

The invention discloses a pathological image virtual dyeing method and system based on a diffusion model, and belongs to the technical field of cross of pathological image processing, deep learning and computer vision. Through an end-to-end process of data preprocessing, model construction, model training and virtual dyeing reasoning, AF to Hamp is realized; performing non-paired virtual dyeing on the E; the method comprises the following steps: acquiring a non-paired AF pathological image and a Hamp through data preprocessing; e, acquiring a pathological image; generating a trunk through single-step diffusion, and constructing an STAIN model through a multi-modal semantic enhancement module, a local significance perception module and a composite loss function; the STAIN model is trained; and inputting a to-be-processed AF pathological image into the trained STAIN model for virtual dyeing reasoning. According to the method, the multi-step iteration bottleneck of a diffusion model is broken through, and single-step rapid reasoning is realized; cell nucleus and gland pathological structures are accurately reserved; it is guaranteed that the dyeing style conforms to Hamp; e, clinical standard; a lightweight adaptation strategy is adopted; background noise interference is suppressed; the method adapts to non-pairwise data scenes, and the practicability and generalization are improved.

To provide a slide glass capable of performing staining without peeling off a specimen when performing the staining by using an automatic staining device.SOLUTION: According to the present invention, there is provided a slide glass including a test region including an outer region and a smear region, in which the outer region is formed by performing an antifouling process on the slide glass, the smear region is shaped by being surrounded by the outer region and includes a specimen dropping portion and a staining liquid dropping portion, and the specimen dropping portion and the staining liquid dropping portion are arranged at different positions in the smear region.SELECTED DRAWING: None

The invention discloses a non-degreasing biological tissue dyeing method and device. The dyeing method of the non-degreasing biological tissue comprises the following steps: a sample fixing step: fixing a biological tissue sample by adopting paraformaldehyde and / or glutaraldehyde; and a dyeing step: carrying out electrophoresis dyeing on the fixed biological tissue sample which is not degreased by using a nucleic acid dye and a beta-amyloid protein small molecule dye. According to the non-degreasing biological tissue dyeing method disclosed by the invention, the non-degreasing biological tissue is directly dyed, so that the damage of degreasing operation to a sample is avoided; moreover, the nucleic acid dye is combined with the beta-amyloid protein small molecule dye, so that the whole brain sample can be quickly and efficiently dyed, and high-resolution fluorescence labeling and three-dimensional space distribution imaging of beta-amyloid protein plaques in the whole brain range can be realized; the method is of great significance in revealing the spatial distribution pattern of beta-amyloid protein and explaining the pathogenesis of Alzheimer's disease.

This invention discloses a virtual immunohistochemical staining method and system based on relation generative adversarial networks (GANs) and sequence slide data, comprising the following steps: Step S1, constructing a sequence slide dataset, wherein each H&E-stained slide is followed by three consecutive Ki67-stained slides; Step S2, constructing a relation generative adversarial network (GAN) model, the model comprising two ResNet generators and two relation discriminators, used to train and evaluate the credibility of the sequence relationship between image pairs; Step S3, performing two-stage training on the relation generative adversarial network model, namely, basic style pre-training and Z-axis alignment relation adaptation. This invention fundamentally solves the Z-axis alignment problem, resulting in higher image fidelity and pathological accuracy, significantly improving clinical application value, and providing new research resources and evaluation paradigms.

To provide a staining device capable of speeding up the staining of a biological tissue.SOLUTION: The staining apparatus 1 includes a cathode chamber 2, an anode chamber 4, a stain solution 21 containing an ionic dye 23 and contained in one of the cathode chamber 2 and the anode chamber 4, a buffer solution 22 contained in the other of the cathode chamber 2 and the anode chamber 4, a first electrode 11 immersed in the stain solution 21, a second electrode 12 immersed in the buffer solution 22, and a communicating tube 3 connecting the cathode chamber 2 and the anode chamber 4. When the living tissue 20 is arranged so as to block the cross section of the communicating tube 3 and electricity is made to flow between the first electrode 11 and the second electrode 12, the dye 23 is electrophoresed so as to pass through the living tissue 20.SELECTED DRAWING: Figure 1

This invention discloses a high-throughput automated immunofluorescence staining device and its staining method. The device includes a liquid injection motion module, a reaction chamber module, a supply and waste collection module, and a control system. The liquid injection motion module includes an X-axis beam and a pipetting and auxiliary material robotic arm, which are driven in parallel to achieve sequential operation. The reaction chamber module includes a temperature-controlled station, a low-temperature reagent storage unit, and an auxiliary material supply unit. The supply and waste collection module includes a waste removal and cleaning unit and an auxiliary material waste collection unit. This invention achieves a 96-station array through a temperature-controlled reaction station, combined with the dual-drive parallel operation of the pipetting and auxiliary material robotic arms, eliminating action waiting time and significantly improving throughput. The use of a closed semiconductor cooling component linked with an automatic flip-top mechanism ensures uniform reagent activity over a long period. A plate-mounted small vacuum pump drives a rigid pipeline with deep-hole waste suction, combined with high-flow-rate wide-area spraying, to thoroughly remove waste liquid and reduce cross-contamination. This achieves full-process automation, significantly improving staining quality and efficiency.

Staining devices and methods for automated systems are provided herein. A dyeing method includes disposing a substrate proximate a dyed surface to establish an overlap between the dyed surface and the substrate. The staining method further includes maintaining a gap between the stained surface and the substrate to define a chromosome product according to the overlap and the gap, where the chromosome product has one or more meniscus edges. The staining method further includes disposing a portion of the staining fluid over the staining surface and distributing the staining fluid over the substrate.

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.

This invention discloses a method and system for multi-domain virtual staining of pathological tissues based on generative adversarial networks (GANs). The method includes: acquiring and segmenting a histopathological slide image to obtain multiple segmented images and segment coordinates; inputting each segmented image and its corresponding target staining style label into a generator of a GAN to output the segmented staining image; the generator includes a downsampling module, multiple cascaded GramLIN modules, and an upsampling module; the GramLIN module includes a style encoding dictionary storing information on various target staining styles; and stitching all the segmented staining images together according to their segment coordinates to obtain a histopathological slide image with the target staining style. The generator incorporates multiple cascaded GramLIN modules, each with a style encoding dictionary, enabling staining transfer between multiple staining methods using a single network.

The invention relates to a lensless holographic microscope-integrated microfluidic device for the real-time detection and isolation of circulating tumor microemboli (CTMs), which are extremely rare in blood, and the operating method of said device. The device according to the invention operates on a microfluidic chip (10) using a semi-automated method based on filtration and image processing, and CTMs are imaged and automatically detected without any staining method by means of a trained neural network.

The present invention relates to: a composition and kit for immunohistochemistry (IHC) staining, comprising an anti-PAUF monoclonal antibody that specifically binds to a PAUF protein; and an immunohistochemical staining method using same. The present invention exhibits significantly improved staining sensitivity and clarity over conventional PAUF staining methods, thereby providing the advantage of obtaining more accurate and reliable results regarding the expression of the PAUF protein. In addition, the present invention enables accurate staining of a large amount of clinical tissues in a short time by using specialized staining equipment together, thereby providing the advantage of enhancing the reliability of staining results. Accordingly, it is possible to specifically, rapidly, and accurately identify only PAUF within cancer tissues of cancer patients, thereby enabling rapid and efficient cancer diagnosis, and by using this, early cancer diagnosis is possible, thereby enabling early treatment for cancer patients in need of targeted therapy.

The invention provides a dyeing method for removing autofluorescence of a single cell sorting micro-fluidic chip and a chip without autofluorescence. The dyeing method comprises the following steps: completely soaking the single-cell sorting micro-fluidic chip in a dye solution for dyeing until the top layer of the chip is dyed into a non-transparent black top layer, thereby obtaining the single-cell sorting micro-fluidic chip without autofluorescence, the dye in the dye solution is black dye; the single cell sorting micro-fluidic chip at least comprises a photosensitive dry film serving as a runner layer. The staining method provided by the technical scheme of the invention can effectively solve the problem of autofluorescence of a single cell sorting micro-fluidic chip prepared from a traditional photosensitive dry film, so that when the stained chip is applied to fluorescence activated cell sorting, recognition of automatically screened fluorescent cells is facilitated, the operation difficulty of fluorescence activated cell sorting is reduced, and the working efficiency is improved. And accuracy and reliability are improved.

This invention discloses a method for detecting Candida albicans based on compound fluorescent staining and deep learning, belonging to the field of microbial detection technology. The method first synthesizes a novel NHC-triazolium salt fluorescent molecule, which is then compounded with calcium fluorescent white and DAPI to form a specific staining solution. After treating the sample with this staining solution, multi-channel fluorescence imaging is performed and images are acquired. Simultaneously, ITS sequencing is performed on the samples. Based on the sequencing results, the images are classified and bacterial cells are manually cropped to construct a labeled dataset. A convolutional neural network model is trained using this dataset to learn to recognize the unique "multi-fluorescent fingerprint" presented by Candida albicans stained with the compound staining solution. In application, the same staining and imaging are performed on the test samples, and the trained model automatically analyzes the images to achieve detection. This invention significantly improves the specificity of detection through the synergy of chemical staining and artificial intelligence. Experiments show that compared with traditional single staining or unstained methods, this method improves the specificity of Candida albicans recognition by 37% and 52%, respectively, and has the advantages of being fast, accurate, and highly automated.

The application relates to a pathological image virtual staining method and system based on a diffusion model, and belongs to the cross technical field of pathological image processing, deep learning and computer vision. Through an end-to-end process of data preprocessing-model construction-model training-virtual staining inference, non-paired virtual staining from AF to H&E is realized; through data preprocessing, non-paired AF pathological images and H&E pathological images are obtained; an STAIN model is constructed through a single-step diffusion generation main trunk, a multi-modal semantic enhancement module, a local saliency perception module and a composite loss function; the STAIN model is trained; and an AF pathological image to be processed is input into the trained STAIN model for virtual staining inference. The application breaks through the multi-step iteration bottleneck of the diffusion model, realizes single-step rapid inference, accurately retains pathological structures of cell nuclei and glands, guarantees that the staining style conforms to the H&E clinical standard, adopts a light-weight adaptation strategy, suppresses background noise interference and adapts to a non-paired data scene, thereby improving practicability and generality.

The invention provides a cell virtual staining method and system, computer equipment and a storage medium, and belongs to the field of cell detection.The method comprises the steps that a microscopic image of a to-be-stained cell is obtained; a multi-scale structural feature map is extracted from the microscopic image, the multi-scale structural feature map is weighted based on a regional attention mechanism to obtain cell structural features of the cell to be stained, and the weight of the boundary features is in positive correlation with the cell nucleus density; extracting color distribution features from a preset reference dyed image, and performing spatial alignment and semantic mapping on the color distribution features and the cell structure features to obtain fusion features; and performing image reconstruction according to the fusion features to obtain a staining image of the to-be-stained cell. According to the method, the display effect on fine structures such as cell nuclear membranes and chromatin distribution is improved, and the high-precision requirement of clinical diagnosis on cell substructure recognition is met.

Provided is a microscope slide that allows staining to be performed without a specimen detaching when staining is performed by using an automatic staining device.　The present invention provides a microscope slide comprising an examination region comprising an outer region and a smear region. The outer region is formed by applying an antifouling treatment to the microscope slide. The smear region is shaped by being surrounded by the outer region, and comprises a specimen dropping portion and a staining solution dropping portion. The specimen dropping portion and the staining solution dropping portion are disposed at different positions in the smear region.

The invention relates to a hyperspectral image multi-virtual staining method, which comprises the following steps: S1, selecting an unstained pathological section, acquiring sample images by using a microscopic hyperspectral imaging system, and pairing part of the sample images to acquire the Hamp of the sample images; e, dyeing the image, and performing dark current correction and spectrum normalization processing on an image sample; s2, extracting spectral sequence information and spatial structure characteristics of the sample image; s3, dividing the data into three types according to the pairing degree, and performing progressive transition training from pairing to non-pairing through a beta-ECUT feature decoupling network to obtain three-differentiation data; and S4, inputting the three-differentiation data set into a double-branch expert joint optimization and meta-control virtual dyeing model module, adaptively adjusting the output fusion proportion of a diffusion expert branch and a feature expert branch according to the complexity of an input image, and finally generating a multiple virtual dyeing image through a VEA dyeing encoder. According to the method, the problem of performance degradation caused by data heterogeneity of a traditional model in a real pathological environment is solved.

The present application relates to the technical field of image recognition, and particularly relates to a virtual staining method for immunohistochemical section images, comprising: obtaining a pair of training images, extracting a set of two-dimensional coordinates of cell nucleus centers and a normalized gray integral vector, and taking the set of two-dimensional coordinates of cell nucleus centers and the normalized gray integral vector as edge distribution constraints to obtain a set of two-dimensional displacement vectors of cells; determining a local adjacency relationship based on the center coordinates, combining the set of displacement vectors to extract a set of adjacent coordinate offset difference scalars, and reconstructing the set of adjacent coordinate offset difference scalars into a two-dimensional spatial misplacement cost matrix; converting the cost matrix into a pixel-level weight mask, locally truncating a model prediction error to train a generation model; and finally converting an H&E image into a virtual IHC image by using the model. The present application effectively blocks an error gradient return caused by physical misplacement, eliminates false positive coloring, and significantly improves clinical reliability.

The invention discloses a coomassie brilliant blue staining solution as well as a preparation method and a staining method thereof. The coomassie brilliant blue staining solution comprises the following components: coomassie brilliant blue, sulfate, inorganic acid, an alcohol solvent, a polar amide solvent and water. The sulfate and the polar amide solvent are introduced into the coomassie brilliant blue staining solution; the sulfate can shorten the dyeing time and reduce the dyeing background; the polar amide solvent can improve the solubility of the coomassie brilliant blue staining solution, so that the staining efficiency and speed are improved, and the detection sensitivity is improved. The protein gel dyeing method is based on the improved coomassie brilliant blue dyeing solution, microwave heating is combined, the whole dyeing process of SDS-PAGE can be completed within 10 minutes, the steps of gel fixation, sensitization, decoloration and the like in a traditional dyeing procedure are omitted, the process steps are simplified, the dyeing time is saved, and the dyeing efficiency is improved. The method has the advantages of fast detection, high sensitivity and small background interference.

This invention provides a high-throughput parallel sequential dual staining mechanism and method. The mechanism includes an A-staining zone where an A-staining component performs a first staining process on slides containing prepared samples; and a B-staining zone where a B-staining component performs a second staining process on the slides containing the first-stained samples. A slide turntable, connected to a stepper motor, continuously transports the slides containing the first-stained samples from the A-staining zone to the B-staining zone. Both staining processes are performed simultaneously using a drop-dyeing method, significantly reducing staining time and preventing contamination of the staining solution. Furthermore, the staining process requires only the placement and removal of the prepared smears, eliminating the need for manual intervention and greatly reducing labor costs.

The invention belongs to the technical field of medical detection, and discloses a staining reagent applied to acid-fast staining and a staining method. The dyeing reagent comprises a primary dyeing agent, a decolorizing agent, a counterdyeing agent and an accelerating agent, wherein the accelerating agent is prepared from the following components: lauryl sodium sulfate, triton X-100, hexadecyl trimethyl ammonium bromide, a Tris-HCl buffer solution, ethylenediamine tetraacetic acid, sodium chloride, potassium chloride, protease K and beta-mercaptoethanol. According to the dyeing reagent, the dyeing accelerant is introduced into a traditional acid-fast dyeing system, the component capable of specifically damaging the lipid structure of the cell wall of the Mycobacterium is utilized, the hindering effect of the lipid structure on the dye in the dyeing process is reduced, the binding efficiency of the dye and thalli is remarkably improved, and therefore the positive detection rate of acid-fast dyeing is greatly increased.

The invention discloses a virtual immunohistochemical staining method, device and equipment for a tissue slice and a medium, and relates to the field of computational pathology counting. E, constructing a cell map from the dyed image to generate corrected IHC semantic features of each node; generating a history Hamp by using an image generator; e, dyeing a historical virtual IHC image corresponding to the image; using the historical real IHC image and the historical virtual IHC image to optimize the parameters of the double-branch discriminator; optimizing image generator parameters by using a discrimination result of the historical virtual IHC image output by the discriminator, the corrected IHC semantic features and semantic features in the historical virtual IHC image to obtain a new image generator network, and performing optimization for multiple times to obtain a target image generator; outputting the Hamp of the tissue section to be dyed by using the generator; and E, dyeing the target virtual IHC image of the image. And performing virtual IHC with clear texture and accurate pathological features on the tissue slices.

The invention discloses a multiple fluorescent staining method for multiple protein targets, and relates to the technical field of multiple immunofluorescent staining. According to the method provided by the invention, the number of dyeable protein targets in the tissue slice can be greatly increased, multiple fluorescent staining steps can be simplified, and by adopting the method provided by the invention, imaging can be carried out after all the targets are directly stained on the basis of one tissue slice. The number of tissue slices required by dyeing imaging is reduced, dyeing of more than 6 protein targets can be completed by only one tissue slice, and errors caused by slice continuity differences are avoided. In addition, repeated elution and re-dyeing are not needed, so that the problems of antigen loss and weakening and the like caused by repeated elution are avoided.

A deep learning based digital / virtual staining method and system enables the creation of digital / virtual stained microscopic images from unlabeled or unstained samples. In one embodiment, the method uses fluorescence lifetime (FLIM) images of a sample using a fluorescence microscope to generate digital / virtual stained microscope images of the unlabeled or unstained sample. In another embodiment, a digital / virtual autofocusing method using machine learning to generate microscope images with improved focus using a trained deep neural network is provided. In another embodiment, a trained deep neural network generates digital / virtual stained microscopic images of unlabeled or unstained samples with multiple different stains obtained with a microscope. The output images or sub-regions thereof are substantially equivalent to corresponding microscopic images or image sub-regions of the same sample that has been histologically stained.

The invention relates to a cornea image automatic digital fluorescent staining method, device and equipment, and relates to the technical field of medical image processing, and the method comprises the steps: carrying out the analysis and staining processing through a collected original cornea image, building an image sample set comprising the original cornea image and a corresponding staining image, extracting the feature embedding of the image through a chassis model, and obtaining a cornea image sample set; performing cross-modal registration processing on each image sample to obtain a registration image pair, and establishing a training set through data enhancement; and then, training a multi-scale convolutional neural network by using the training set, and carrying out iterative optimization in combination with multi-dimensional loss to obtain a target dyeing model capable of accurately and efficiently carrying out fluorescent dyeing. And finally, carrying out automatic digital fluorescent staining on the cornea photograph through the target staining model. Therefore, the method realizes accurate fluorescent staining of the cornea image, can be applied to various terminal devices, and expands application scenes.

The present application relates to the technical field of cell staining, and particularly relates to a vaginal secretion staining solution, a preparation method and a staining method thereof.The vaginal secretion staining solution provided by the present application uses basic fuchsin and methylene blue as staining agents, can stain epithelial cells and leukocytes, and cannot stain trichomonas and mold, so that leukocytes and trichomonas can be obviously distinguished through color difference, and personnel misjudgment caused by the similarity of leukocytes and trichomonas is reduced.The vaginal secretion staining solution provided by the present application has simple operation steps, short cycle and fast staining.The present application further provides a preparation method and a staining method of the vaginal secretion staining solution.

The invention relates to the technical field of biology, and particularly discloses a staining method and application of an immunohistochemistry multi-staining combined reagent, the combined reagent comprises a first antibody combination and a second antibody combination, the first antibody combination comprises a myoepithelium specific marker Calponin and p16 with myoepithelium expression characteristics and a cell cycle regulation function; and the second antibody combination comprises an epithelial marker E-cadherin. According to the invention, three markers of Calponin, p16 and E-cadherin are subjected to immunohistochemical multi-staining combination, so that whether muscle epithelial cells exist or not and the attributes of gland epithelial cells can be synchronously displayed on the same tissue slice at the same site; mutual-verification and complementary morphological and molecular basis is provided for indirectly prompting whether the basilar membrane is damaged or not through the integrity of the muscular epithelial layer, and the detection rate of the micro-invasive cancer is increased. Meanwhile, spatial distribution information of the three types of key markers can be obtained through one dyeing process, tissue samples are saved, and the method is suitable for accurate diagnosis of biopsy specimens.

The invention discloses a method for carrying out fluorescent staining on an RG4 structure in an active tissue sample. On the basis of a 'QUMA-1 fluorescent probe staining' strategy, an RG4 structure in an active tissue sample is subjected to fluorescent staining. Based on the specific combination of a QUMA-1 fluorescent probe and the characteristics of the tissue RG4, the distribution and the strength of the RG4 structure can be more clearly observed at the tissue level through a living tissue slicing technology, a tissue culture and dyeing technology and a confocal microscopic imaging technology, so that the RG4 structure in the tissue is qualitatively and quantitatively analyzed, and the detection accuracy is improved. The tissue-level staining method disclosed by the invention has a good clinical transformation prospect and application value.

The invention relates to a kit for accurate identification of plasma cells and application of the kit, and belongs to the technical field of biomedicine. The invention provides a kit for accurate identification of plasma cells on the basis of a novel color development system or multiple immunofluorescent staining. According to the novel color development system, an AP-Red color development solution and an HRP-Green color development solution are used for conducting immunohistochemical combined double staining on MUM1 and CD138 respectively, the double-positive cell nucleus can present one color, cytoplasm can present another color, the staining effect of the color development mode is good, the contrast ratio of the double-positive cells is better than reddish brown, and interpretation is more accurate and rapid. The multiple immunofluorescent staining is to perform immunohistochemical staining on MUM1 and CD138 by using a TSA570 fluorescent dye and a TSA520 fluorescent dye, so that the double-positive cell nucleus can present one color, the cytoplasm can present another color, and the staining method is good in staining effect, the nucleoplasm is easy to distinguish, and an interpretation error can be avoided.