Journal
2021 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO)
Volume -, Issue -, Pages -Publisher
IEEE
Keywords
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Funding
- DARPA/DSO Extreme Optics and Imaging (EXTREME) Program [HR00111720032]
- National Science Foundation [2029553-ECCS]
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The machine-learning assisted framework significantly speeds up image acquisition in super-resolution microscopy based on photon antibunching, compatible with a CW excitation regime and applicable to a wide range of quantum emitters.
A machine learning assisted framework significantly speeds up image acquisition in super-resolution microscopy based on photon antibunching. The technique is compatible with a CW excitation regime and applicable to a wide range of quantum emitters. (C) 2021 The Author(s).
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