7 results about "Silver stain" patented technology

The invention discloses a method for counting the number of wild rock sheep based on a microsatellite molecular marker. The method comprises the following steps: preprocessing a rock sheep manure sample and extracting DNA (Deoxyribonucleic Acid); performing double PCR amplification on the microsatellite marker, wherein each group of microsatellite primers comprises two pairs of specific primers; carrying out electrophoresis separation on a PCR product by using 12% polyacrylamide gel, and reading the size of an allele fragment of each microsatellite site through GeneMapper software after silver staining and developing; analyzing the acquired allele data by using software, and counting the number of different wild rock sheep individuals in the region according to an individual identification standard; the individual identification standard is as follows: if the genotypes of all 10 microsatellite loci are completely the same, or only one allele of one locus is different, the same individual is determined. The method is particularly suitable for non-invasive individual identification, genetic relationship identification and population quantity statistics of plateau wild rock sheep populations, and provides technical support for rock sheep resource protection and dynamic monitoring.

The application discloses a SSR molecular marker primer related to Chinese chives dormancy and a detection method and application thereof. In view of the problems that traditional Chinese chives dormancy trait identification relies on field morphological observation for 4 months, is inefficient and lacks special molecular markers, 7 specific SSR primers (SSR005 / 170 / 249 / 325 / 423 / 478 / 610) are developed based on cross-species genome resequencing (taking Chinese onion as a reference genome, and the alignment rate is 18.76%-18.89%) for the first time. Through the establishment of a matching detection system: CTAB method for rapid DNA extraction, optimization of the PCR system (20 muL contains 30 ng of template DNA, 0.4 U of Taq enzyme, 0.2 muM of primer, 0.2 mM of Mg 2+ 2.0 mM of dNTPs, 57 DEG C annealing), 8% polyacrylamide gel electrophoresis combined with silver staining development, the dormancy trait can be accurately identified within 7 days. For example, the SSR423 primer has no band at 177 bp, and the non-dormant / dormant germplasm cannot be distinguished. The detection results of 52 germplasms (such as dormancy germplasm 21-1 and non-dormancy germplasm 22-7) are consistent with the field phenotypes at a rate of 100%.

The invention discloses a method for detecting protein substances in a phlegm-heat clearing injection. The detection method comprises the following steps: (1) preparing a test solution; (2) preparing a sample adding sample solution; (3) preparing a reference solution; and (4) electrophoresis: respectively sucking the test sample solution, the sample adding sample solution and the reference substance solution, applying samples on gradient gel, and carrying out electrophoresis, silver staining and color development. The method provided by the invention is exclusive, sensitive, simple, convenient, efficient and rapid, can specifically detect the protein with the molecular weight of more than 5000, and provides a theoretical basis for the quality control of the phlegm-heat clearing injection and the deep research of the pharmacodynamic material basis through the detection of protein substances.

This invention discloses a method and system for in vitro assessment of renal biopsy tissue quality based on virtual special staining, belonging to the field of biomedical image processing technology. The method includes: acquiring and scanning undewaxed mounted sections to be assessed to obtain unstained whole-section images; inputting the unstained whole-section images into a pre-trained hybrid contrast virtual staining generation model to generate virtual special staining images with specific staining textures; the hybrid contrast virtual staining generation model is obtained through optimization training based on a total loss function, which includes adversarial loss, L1 loss, and PatchNCE block noise contrast estimation loss to maximize the mutual information between the input and generated images at corresponding spatial locations; inputting the virtual special staining images into a target detection network to identify glomerular structures and count the total number of glomeruli; and outputting the suitability assessment result of the undewaxed mounted sections based on the comparison result between the total number of glomeruli and a preset threshold. By scanning undewaxed mounted sections, the traditional dewaxing and rehydration steps are eliminated, improving efficiency; and the virtual silver staining technology significantly enhances the ability to identify glomeruli.

The application provides a tissue staining method based on antigen repair treatment combined with silver staining, comprising the following steps: a) high-temperature heat repair of a tissue section to be treated with an antigen repair solution, and washing with water after cooling to obtain a repaired tissue section; b) silver staining of the repaired tissue section obtained in step a), dehydration, and then mounting to obtain a stained tissue section. Compared with the prior art, the tissue staining method based on antigen repair treatment combined with silver staining provided by the application adopts specific process steps and conditions to realize overall good interaction: first, the brain tissue is subjected to antigen repair treatment, and then the silver staining technology is adopted, which significantly improves the signal-to-noise ratio of the senile plaque region, and ideal staining effect is obtained, which can effectively improve the detail visibility in pathological detection, help more accurately evaluate the morphology and distribution characteristics of the senile plaque, and has a wide application prospect.

The invention provides a visual microarray specific nucleic acid probe combination, system and method for detecting antibiotic resistance genes, and belongs to the technical field of environmental microbiological detection. According to a positive-sense strand and an antisense strand of double-stranded DNA of a target antibiotic resistance gene, a carboxylation fixed probe and a sulfhydrylation signal probe are respectively designed, and initial signal multiplication is realized through double-strand double recognition; and carrying out secondary amplification in combination with nanogold-catalyzed silver staining deposition to form a visual detection signal. The sensitivity of the method reaches 10 <-8 > mol, antibiotic resistance genes such as qepA, macB and the like in soil can be detected at high throughput, and the method has the advantages of high specificity, simplicity and convenience in operation and controllable cost, and provides technical support for environmental risk assessment.

Methods and compositions for reducing silver stains on teeth treated using silver diamine fluoride are provided. The methods for removing stains comprise the steps of etching a stained area, the application of sodium hypochlorite, the application of hydrogen peroxide and the application of a remineralization solution to the stained area.