Structured Illumination Microscopy of Mitochondrial in Mouse Hepatocytes with an Improved Image Reconstruction Algorithm
Kai Hu,
Xuejuan Hu,
Ting He,
Jingxin Liu,
Shiqian Liu,
Jiaming Zhang,
Yadan Tan,
Xiaokun Yang,
Hengliang Wang,
Yifei Liang,
Jianze Ye
Affiliations
Kai Hu
Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China
Xuejuan Hu
Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China
Ting He
Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China
Jingxin Liu
College of Pharmacy, Shenzhen Technology University, Shenzhen 518118, China
Shiqian Liu
Laboratory of Advanced Optical Precision Manufacturing Technology of Guangdong Provincial Higher Education Institute, Shenzhen Technology University, Shenzhen 518118, China
Jiaming Zhang
Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China
Yadan Tan
Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China
Xiaokun Yang
Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China
Hengliang Wang
Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China
Yifei Liang
Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China
Jianze Ye
Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China
In this paper, a structured illumination microscopy (SIM) image reconstruction algorithm combined with notch function (N-SIM) is proposed. This method suppresses the defocus signal in the imaging process by processing the low-frequency signal of the image. The existing super-resolution image reconstruction algorithm produces streak artifacts caused by defocus signal. The experimental results show that the algorithm proposed in our study can well suppress the streak artifacts caused by defocused signals during the imaging process without losing the effective information of the image. The image reconstruction algorithm is used to analyze the mouse hepatocytes, and the image processing tool developed by MATLAB is applied to identify, detect and count the reconstructed images of mitochondria and lipid droplets, respectively. It is found that the mitochondrial activity in oxidative stress induced growth inhibitor 1 (OSGIN1) overexpressed mouse hepatocytes is higher than that in normal cells, and the interaction with lipid droplets is more obvious. This paper provides a reliable subcellular observation platform, which is very meaningful for biomedical work.
