Generative adversarial network enables rapid and robust fluorescence lifetime image analysis in live cells
In this study, Chen et al. introduced a new deep learning-based method termed flimGANE to rapidly generate accurate and high-quality FLIM images even in the photon-starved conditions. flimGANE is particularly useful in fundamental biological research and clinical applications.
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-01-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-021-02938-w |