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2 results about "Tubule" patented technology
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A tubule is: a small tube or fistular structure a minute tube lined with glandular epithelium any hollow cylindrical body structure a minute canal found in various structures or organs of the body a slender elongated anatomical channel
Use of hepcidin in preparation of drug for blocking ferroptosis of collecting tubule in acute kidney injuries and protecting kidney function
PCT designated stageWO2026091828A1Peptide/protein ingredientsPharmaceutical delivery mechanismIntraperitoneal routePharmaceutical Substances
The present invention belongs to the technical field of medicine. Disclosed in the present invention is a new pharmaceutical use of hepcidin, specifically the use of hepcidin in the preparation of a drug for blocking ferroptosis of a collecting tubule in acute kidney injuries and protecting kidney function. It has been demonstrated in the present invention that both renal endogenous and exogenous hepcidin can alleviate tubular injury and improve renal function in ischemia-reperfusion-induced acute kidney injury by inhibiting ferroptosis in intercalated cells of the collecting tubule. Disclosed in the present invention is a drug for alleviating ferroptosis of a collecting tubule and protecting kidney function in ischemic-reperfusion-induced acute kidney injury. The drug is an intraperitoneal injection prepared by dissolving hepcidin at a therapeutic concentration in PBS.
Owner:SOUTHEAST UNIV
Scalable and highly accurate context-guided segmentation of histological structures, including tubules / glands and lumens, tubule / glandular clusters, and individual nuclei, in full-slide images of tissue samples from a spatial multi-parameter cell / intracellular imaging platform.
To provide a method and system that segment one or more histological structures in a tissue image represented by multi- parameter cellular and intracellular imaging data.SOLUTION: A method of segmenting one or more histological structures in a tissue image represented by multi-parameter cellular and intracellular imaging data includes: receiving coarsest level image data on a tissue image, in which the coarsest level image data corresponds to the coarsest level of a multiscale representation of first data corresponding to the multi-parameter cellular and intracellular imaging data; further dividing the coarsest level image data into a plurality of non-overlapping superpixels; assigning, to each superpixel, a probability belonging to the one or more histological structures using some pre-trained machine learning algorithms to create a probability map; extracting an estimation boundary of the one or more histological structures by applying a contour algorithm to the probability map; and generating an accurate boundary of the one or more histological structures using the estimation boundary.SELECTED DRAWING: Figure 1
Owner:UNIV OF PITTSBURGH OF THE COMMONWEALTH SYST OF HIGHER EDUCATION