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Machine learning in optical microscopy

Quantitative Biology Colloquium

Machine learning in optical microscopy
Series: Quantitative Biology Colloquium
Location: MATH 402
Presenter: Koen Visscher, Department of Physics, University of Arizona

I will be discussing how deep learning may be used to enhance image resolution in optical microscopy. It is thought that this approach might be particularly useful for cases where the microscope's point spread function is not space-invariant.  However, concerns exist about the occurrence potential artifacts.