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1.
Sensors (Basel) ; 24(10)2024 May 12.
Article in English | MEDLINE | ID: mdl-38793931

ABSTRACT

The process of image fusion is the process of enriching an image and improving the image's quality, so as to facilitate the subsequent image processing and analysis. With the increasing importance of image fusion technology, the fusion of infrared and visible images has received extensive attention. In today's deep learning environment, deep learning is widely used in the field of image fusion. However, in some applications, it is not possible to obtain a large amount of training data. Because some special organs of snakes can receive and process infrared information and visible information, the fusion method of infrared and visible light to simulate the visual mechanism of snakes came into being. Therefore, this paper takes into account the perspective of visual bionics to achieve image fusion; such methods do not need to obtain a significant amount of training data. However, most of the fusion methods for simulating snakes face the problem of unclear details, so this paper combines this method with a pulse coupled neural network (PCNN). By studying two receptive field models of retinal nerve cells, six dual-mode cell imaging mechanisms of rattlesnakes and their mathematical models and the PCNN model, an improved fusion method of infrared and visible images was proposed. For the proposed fusion method, eleven groups of source images were used, and three non-reference image quality evaluation indexes were compared with seven other fusion methods. The experimental results show that the improved algorithm proposed in this paper is better overall than the comparison method for the three evaluation indexes.


Subject(s)
Image Processing, Computer-Assisted , Neural Networks, Computer , Snakes , Animals , Image Processing, Computer-Assisted/methods , Algorithms , Deep Learning , Infrared Rays
2.
Anal Cell Pathol (Amst) ; 2020: 4282036, 2020.
Article in English | MEDLINE | ID: mdl-33282634

ABSTRACT

OBJECTIVES: To observe the effect of Inonotus obliquus polysaccharide (IOP) on the proliferation, invasion, migration, and apoptosis of osteosarcoma cells and to elucidate its underlying molecular mechanism. METHODS: IOP was extracted from Inonotus obliquus, human osteosarcoma MG-63 cells and U2OS cells were cultured in vitro, and the effects of IOP on the proliferation, migration, invasion, and apoptosis of MG-63 cells and U2OS cells were determined by CCK-8 assays, cell scratch assays, transwell assays, and flow cytometry, respectively. Western blot was used to detect the expression of related proteins in the Akt/mTOR and NF-κB signaling pathways. RESULTS: Compared with the control group, MG-63 cells and U2OS cells treated with IOP of 80 µg/ml, 160 µg/ml, and 320 µ g/ml in the experimental group had significantly lower proliferation activity, decreased migration and invasion ability, and increased apoptosis rate (P < 0.05). Furthermore, IOP could significantly inhibit the activation of the Akt/mTOR and NF-κB signaling pathway (P < 0.05). CONCLUSION: IOP can regulate the proliferation, migration, invasion, and apoptosis of osteosarcoma cells by inhibiting the activation of the Akt/mTOR signaling pathway. It has antitumor activity on osteosarcoma and has the potential of clinical application in osteosarcoma treatment.


Subject(s)
Inonotus/chemistry , Osteosarcoma/pathology , Polysaccharides/pharmacology , Apoptosis/drug effects , Cell Line, Tumor , Cell Movement/drug effects , Cell Proliferation/drug effects , Chromatography, High Pressure Liquid , Humans , NF-kappa B/metabolism , Neoplasm Invasiveness , Proto-Oncogene Proteins c-akt/metabolism , Signal Transduction/drug effects , TOR Serine-Threonine Kinases/metabolism
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