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.

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.

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.

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.