55 results about "Stain tissue" patented technology

A novel and useful method and system of optimized image compression of digital pathology slide images. The optimized image compression mechanism exploits the special color properties of the stained tissue represented by the digital pathology slides and provides an image compression algorithm having improved rate-distortion performance. Optimized color transforms are pre-computed using training sets of pathology slide image scan data for each stain type. The optimized color transforms are used to compress input slide image scans resulting in more efficient image streaming enabling users to review extremely large digital slide scans from any connected location, such as in a hospital, satellite center, home or on a mobile telephone.

Systems and methods are provided for staining tissue with multiple biologically specific heavy metal stains and then performing X-ray imaging, either in projection or tomography modes, using either a plurality of illumination energies or an energy sensitive detection scheme. The resulting energy-weighted measurements can then be used to decompose the resulting images into quantitative images of the distribution of stains. The decomposed images may be false-colored and recombined to make virtual X-ray histology images. The techniques thereby allow for effective differentiation between two or more X-ray dyes, which had previously been unattainable in 3D imaging, particularly 3D imaging of features at the micron resolution scale. While techniques are described in certain example implementations, such as with microtomography, the techniques are scalable to larger fields of view, allowing for use in 3D color, X-ray virtual histology of pathology specimens.

The invention is an antimicrobial photo-stable coating composition that deters photo-induced discoloration, does not stain tissue and can be applied to the surface of a variety of medical materials. The composition comprises in an aspect silver-PCA complex and dye.

A histologic tissue sample support device includes a tissue support (12) formed of material that can be successfully sectioned in a microtome and is resistant to degradation from solvents and chemicals used to fix, process and stain tissue (40). A resilient cellular material (20) is coupled to the tissue support (12) and is configured to engage and retain tissue (40) in place during processing and embedding. The resilient cellular material (20) is also capable of successful sectioning in the microtome and porous to allow infiltration of the solvents and chemicals used to fix, process and stain tissue, and of embedding material (50) used to embed the tissue (40) while the tissue (40) is retained by the resilient cellular material (20).

The invention discloses a method for studying on prostate cancer reoccurrence and metastasis, not useful in diagnosing and treating diseases. The method is characterized by including: using paraffin-embedded tissue samples containing prostate tissues, making the samples into HE (hematoxylin and eosin) stained tissue slices, making the tissue slices into microarray tissue chips, subjecting the microarray tissue chips to immunohistochemical staining, observing under a microscope, acquiring stained cell scores according to stained cell percentage ranges of the samples, acquiring a positive staining strength coefficient according to staining strength, multiplying the stained cell scores by the positive staining strength coefficient to obtain protein expression level of MS4A8B gene, and determining prostate cancer reoccurrence rate and metastasis rate according to the protein expression level of MS4A8B gene or by subjecting the protein expression level of MSA8B gene and a proliferation index of MS4A8B gene to correlation analysis. Prostate cancer reoccurrence and metastasis are studied herein by detecting the protein expression level and proliferation index of prostate cancer gene in the tissue samples to be detected.

Methods and systems for scoring hyaluronan-stained tissue samples by assessing the area of tumor-associated extracellular matrix (ECM) with hyaluronan staining compared to the entire surface area of the relevant portion of the sample. The methods and systems of the present disclosure may be used to, for example, to select patients for receipt of specific treatments.

A biopsy-sized tissue sample is stained for quick imaging. A significant amount of permeation enhancer is included in a mixed solution of permeant enhancer, fixative or dehydrant, and one or two fluorescent dyes to simultaneously dehydrate and dye the tissue sample. The permeation enhancer, e.g., 10% to 50% in the mixed solution, achieves an image of dyed tissue in the contacted tissue sample at a depth of at least 200 um within no more than 1.5 hours. One of the fluorescent dyes is a fluorescent nuclear dye such as DAPI, SYTOX green, acridine orange, propidium iodide, or a Hoechst dye. The other fluorescent dye is a fluorescent protein dye such as eosin or rhodamine B. The tissue sample is cleared with a clearing agent having a refractive index of at least 1.4[R2], e.g., using BABB. The mixed solution may further include Chloroform or other morphology preservative.

The invention relates to the technical field of prognosis intelligent algorithms, in particular to an analysis method and system for early hepatocellular carcinoma postoperative recurrence prognosis based on artificial intelligence (AI). The early hepatocellular carcinoma postoperative recurrence risk and prognosis are predicted through a complete digital hematoxylin-eosin staining (HE) staining tissue pathological section, and the method comprises the specific steps that a full-view digital section (WS I) image of a specimen to be analyzed is obtained; a foreground region of interest (ROI) is extracted from the WS I image; according to the invention, different areas of the digital pathological image are identified through deep learning. The early-stage hepatocellular carcinoma postoperative recurrence risk and prognosis are effectively analyzed directly according to the HE staining section, the accuracy is very high while multiple different cell regions are identified, and the invention has great guiding significance for patient recurrence.

Improved systems and methods for the analysis of digital images are provided. More particularly, the present disclosure provides for improved systems and methods for the analysis of digital images of biological tissue samples. Exemplary embodiments provide for: i) segmenting, ii) grouping, and iii) quantifying molecular protein profiles of individual cells in terms of sub cellular compartments (nuclei, membrane, and cytoplasm). The systems and methods of the present disclosure advantageously perform tissue segmentation at the sub-cellular level to facilitate analyzing, grouping and quantifying protein expression profiles of tissue in tissue sections globally and / or locally. Performing local-global tissue analysis and protein quantification advantageously enables correlation of spatial and molecular configuration of cells with molecular information of different types of cancer.

A histologic tissue sample support device (200) includes a tissue cassette (112), a frame (14), and a lid (118"). The tissue cassette (112) has a recess (112b) including a body (112a) with at least one side wall and a bottom wall (112c) and is formed of material that can be successfully sectioned in a microtome and is resistant to degradation from solvents and chemicals used to fix, process and stain tissue. The tissue cassette (112) is movably coupled to the frame (14). The lid (118") is separably coupled to a peripheral portion (16) of the frame (14). When the lid (118") is separated from the peripheral portion (16), the lid (118") and the tissue cassette (112) are capable of moving from a first position to a second position with respect to the frame (14), and in the second position thebottom wall (112c) and at least a portion of the side wall extend beyond a bottom edge of the frame (14) for sectioning in the microtome.

The disclosed embodiments relate to a system that produces a composite image of a stained tissue sample by combining image data obtained through brightfield and fluorescence imaging modes. While operating in a brightfield imaging mode, the system illuminates the stained tissue sample with broadband light, and collects image data comprising a brightfield histology image using a multispectral imaging system. While operating in a fluorescence imaging mode, the system illuminates the stained tissue sample with one or more bands of excitation light, and collects image data associated with resulting fluorescence emissions using the multispectral imaging system. Next, the system processes the image data collected during the brightfield and / or fluorescence imaging modes. Finally, the system combines the image data collected during the brightfield and fluorescence imaging modes to produce the composite image.