Abstract
We present all machine learning-based reconstruction approach for simultaneous multicolor spectroscopic super-resolution microscopy. Machine learning is used for localization and spectral classification. Reconstruction of the simultaneous two-color imaging of the nanoruler sample with a mark-to-mark distance of 40 nm is presented.
© 2023 The Author(s)
PDF Article | Presentation VideoMore Like This
Sunil Kumar Gaire, Ethan Flowerday, Jane Frederick, Ruyi Gong, Sravya Prabhala, Leslie Ying, Hao F. Zhang, and Vadim Backman
CTu5F.4 Computational Optical Sensing and Imaging (COSI) 2022
Kyungduck Yoon, Keyi Han, Kidan Tadesse, Biagio Mandracchia, and Shu Jia
FM5E.2 Frontiers in Optics (FiO) 2023
Shuyan Zhang, Shuwen Zeng, Wenjun Liao, Ryan Ron Zee Tan, and Malini Olivo
cl_p_4 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2023