DeepVID: A Self-supervised Deep Learning Framework for Two-photon Voltage Imaging Denoising
Chang Liu, Jelena Platiša, Xin Ye, Allison M. Ahrens, Anderson Chen, Ian G. Davison, Vincent A. Pieribone, Jerry L. Chen, Lei Tian · 2022
High-speed population-level voltage imaging is suffered from the shot noise limit. We developed a self-supervised deep learning framework for voltage imaging denoising (DeepVID) without the need for any ground-truth high-SNR data.