Affiliations: [a] Hunan Agricultural University, Changsha, Hunan, China | [b] Hunan Horticultural Research Institute, Changsha, Hunan, China
Correspondence:
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Corresponding author: Jia Huang, Hunan Horticultural Research Institute, Changsha, Hunan 410128, China. E-mail: xufeng167@163.com.
Abstract: BACKGROUND: Grape seed proanthocyanidin extract (GSPE) has a certain resistance to contrast light, which makes the boundary of the imaging image unclear. OBJECTIVE: Because of this, an image processing algorithm is needed to process the contrast image to study the role of GSPE in the process of anti-ultraviolet. METHODS: In this paper, the fuzzy edges of contrast images were processed by deep learning algorithm, and the changes of VEGF and PEDF expression in HaCaT cells before and after UVA irradiation and after GSPE intervention were studied. RESULTS: The experiment results show that after processing, the edge and boundary of the image become clear and separable, which can be used to compare and analyze the test process. The image comparison results show that GSPE can down regulate the expression of VEGF gene and protein, and up regulate the expression of PEDF gene and protein. The synergistic effect of GSPE and GSPE can inhibit angiogenesis. It is confirmed that GSPE has the effect of anti-ultraviolet ray induced early angiogenesis.
Keywords: HaCaT cells, SURF, deep learning, binary image
