3 results about "Nuclear grade" patented technology

The radioactive aerosol filtering and purifying experiment system comprises an experiment cabin and an aerosol manufacturing module, the aerosol manufacturing module puts generated radioactive aerosol into the experiment module; the atomizing and spraying module is used for spraying and settling the radioactive aerosol in the experiment module; the experiment module is provided with an outlet which is externally connected with a filtering and purifying module; the filtering and purifying module comprises a nuclear-grade filter and a fan; and the fan is used for sucking gas in the experiment module. The radioactive aerosol filtration and purification experiment system can meet the requirements of two experiments of filtration and purification and atomization and sedimentation of radioactive aerosol.

The invention provides a breast cancer auxiliary diagnosis method and system based on virtual staining, and the method comprises the steps: firstly obtaining an HE staining section, carrying out the enhancement preprocessing, and generating an ER / PR / HER2 virtual IHC image through a GAN-based virtual staining model; on the basis of a DAB channel obtained through color deconvolution integral separation and cancerization areas and cell nucleus instance segmentation results obtained on the virtual IHC and / or HE images, indexes such as nucleus density, nucleus morphology, ER / PR positive cell nucleus proportion, HER2 membrane continuity / coverage rate, positive area proportion and average optical density are calculated, and a superposition and structuring report is generated. According to the method, combined losses such as positive region consistency, membrane ring continuity, nuclear grade consistency and grading alignment are introduced in the training stage, a nuclear density self-adaptive activation function is adopted, and the consistency and robustness of virtual dyeing and quantitative evaluation are improved. IHC reagents can be reduced, the period is shortened, and the cross-section comparison difficulty is reduced.

The application discloses a cancer gene mining analysis method based on a ceRNA network, and steps are as follows: gene expression data and pathological images of patients suffering from target cancer and patients without diseases are acquired; relevant pathological images are processed, nuclear level features of cell nuclei cut by the pathological images are extracted, and the nuclear level features are taken as WSI features; a ceRNA network reflecting connection relationships between different RNAs is constructed according to the gene expression data; a sparse matrix of different RNA pairs is established, and Pearson correlation coefficient solving is performed on the WSI features and mRNA data; JSNMCNMF algorithm is used to integrate four parts of WSI, mRNA, miRNA and lncRNA data, and the relationship between mRNA and WSI is obtained; and KJMCNMF algorithm is used to acquire hidden connection relationships in the ceRNA network. The method of the application firstly constructs the relationship between genes and pathological images, and provides a new direction for cancer research.