Abstract
Insufficient spatiotemporal performance is the major weakness of current 3D fluorescence microscopy. We report deep learning-enhanced fluorescence microscopy that can reconstruct dynamic signals at high spatiotemporal resolution.
© 2021 The Author(s)
PDF ArticleMore Like This
Lanxin Zhu, Chengqiang Yi, Guo Li, Yuxuan Zhao, and Peng Fei
DTh2A.3 Bio-Optics: Design and Application (BODA) 2021
Hongda Wang, Yair Rivenson, Yiyin Jin, Zhensong Wei, Ronald Gao, Harun Günaydın, Laurent A. Bentolila, Comert Kural, and Aydogan Ozcan
STu4H.2 CLEO: Science and Innovations (CLEO:S&I) 2019
Valentin Kapitany, Alex Turpin, Jamie Whitelaw, Ewan McGhee, Robert Insali, Laura Machesky, and Daniele Faccio
CW1B.4 Computational Optical Sensing and Imaging (COSI) 2020