Generative adversarial network enables rapid and robust fluorescence lifetime image analysis in live cells.

MLA

Chen, Yuan-I., et al. “Generative Adversarial Network Enables Rapid and Robust Fluorescence Lifetime Image Analysis in Live Cells.” Communications Biology, vol. 5, no. 1, Jan. 2022, p. 18. EBSCOhost, https://doi.org/10.1038/s42003-021-02938-w.

APA

Chen, Y.-I., Chang, Y.-J., Liao, S.-C., Nguyen, T. D., Yang, J., Kuo, Y.-A., Hong, S., Liu, Y.-L., Rylander, H. G., 3rd, Santacruz, S. R., Yankeelov, T. E., & Yeh, H.-C. (2022). Generative adversarial network enables rapid and robust fluorescence lifetime image analysis in live cells. Communications Biology, 5(1), 18. https://doi.org/10.1038/s42003-021-02938-w

Chicago

Chen, Yuan-I, Yin-Jui Chang, Shih-Chu Liao, Trung Duc Nguyen, Jianchen Yang, Yu-An Kuo, Soonwoo Hong, et al. 2022. “Generative Adversarial Network Enables Rapid and Robust Fluorescence Lifetime Image Analysis in Live Cells.” Communications Biology 5 (1): 18. doi:10.1038/s42003-021-02938-w.