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A deep learning approach to increase luminescence image resolution of solar cells

Luminescence imaging is an indispensable method to inspect solar cells and determine their critical electrical parameters. Low spatial resolution of images may limit the identification of small features and defects. On the other hand, high spatial resolution images often require expensive imaging systems. To that end, we present a deep learning approach to increase the spatial resolution of luminescence images with no additional hardware requirements. This study provides a simple and cost-effective method to enhance the capability of existing luminescence imaging systems using deep learning.