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Super-resolution Imaging of Neuronal Dense-core Vesicles
Published on: July 2, 2014
Changhui Jiang1,2, Qiyang Zhang1,2, Rui Fan1
1Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
This study introduces a new method for enhancing low-dose computed tomography (CT) images using sparse representation and dictionary learning. The technique improves image resolution and quality from single CT scans.
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