41 results about "Well differentiated" patented technology

The invention belongs to the technical field of image analysis, in particular to a microscopic image analysis method of a cervical cancer tissue based on a graph theory. The microscopic image analysismethod of the cervical cancer tissue based on the graph theory includes the following steps: collecting microscopic image data of cervical cancer tissue, segmenting each original image by different algorithms, and fusing the segmentation results to obtain fused images; according to the morphological and textural features of the nuclei, the fusion images were classified into three categories: highly differentiated, moderately differentiated and poorly differentiated; comprehensive assessment of classification results are performed. The present application uses fused segmentation algorithms toenhance accuracy, form a complete classification process, and make classification evaluations. Pathological images of cervical cancer can be divided into three types: well differentiated, moderately differentiated and poorly differentiated according to the spatial structure of the nucleus, which can be used in the daily practice of histologists to speed up the time of diagnosis and improve the accuracy of diagnosis.

The invention relates to the technical field of molecular biology and discloses a method for identifying material sources of meat products based on clone and conventional sequencing. The method comprises the following steps: (1) extracting to-be-detected genome DNA; (2) designing and synthesizing a forward primer and a backward primer; (3) carrying out PCR amplification on the genome DNA, and detecting and recycling amplification products; (4) carrying out TA cloning on the PCR amplification products to obtain positive clones, selecting single clones, and carrying out sequencing; and (5) removing carrier sequences at two ends in a sequencing result to obtain COI sequence information of to-be-detected meat products, and therefore, identifying the material sources of the meat products. By virtue of the method, the material compositions and sources of the meat products can be identified, and species can be well differentiated by virtue of difference among base sequences in the COI gene sequence, so that the method for identifying the material sources of the meat products has relatively high accuracy.