Research Progress on the Molecular Mechanism of EGCG3 ″ Me in the Treatment of Diabetes Based on Visual Sensor Images

Abstract

Diabetes is a chronic metabolic disease with abnormal blood glucose and lipid metabolism caused by insufficient insulin secretion, which seriously affects human health. For solving the problem of treating diabetes, it is particularly important to observe the research progress of the molecular mechanism of EGCG3 ${}^{″}$ Me in the treatment of diabetes based on visual sensor images. This research has not been verified in practice, but many scientists are already studying it. This article is aimed at studying the molecular mechanism of using EGCG3 ${}^{″}$ Me to treat diabetes based on visual sensor images. This article introduces the concept and application of visual image sensor in detail, using a superpixel segmentation method to realize image observation. The EGCG3 ${}^{″}$ Me was extracted and used in diabetes treatment experiments. The experimental results showed that the blood glucose of the mice in the experimental group had returned to normal 60 minutes after the administration of glucose in the blank control group, and the blood glucose of the mice in the control group had basically returned to normal after 120 minutes. Compared with the model group, the number of acinar paging and the number of cells in the pancreatic islets increased in the mice after EGCG3 ${}^{″}$ Me treatment, indicating that EGCG3 ${}^{″}$ Me has the effect of protecting and repairing pancreatic islet cells.