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A tool called the “crappifier” developed at Salk Institute has the potential to democratize deep-learning enhanced microscopy. The technology addresses the difficulties of training algorithms to enhance low-resolution images.
Deep learning offers the potential for scientists to gather information from low-resolution images that would be virtually inaccessible otherwise. In the case of cell imaging, gaining a detailed image can be complicated, as it requires low-light conditions, which result in low-resolution images. Laser illumination can damage or alter the cells, and, by extension, the quality of information that can be gleaned from the images.
“We invest millions of dollars in these microscopes and…READ MORE