Segmentation of neurons from fluorescence calcium recordings beyond real time

Yijun Bao, Somayyeh Soltanian-Zadeh, Sina Farsiu, Yiyang Gong

Abstract: Calcium imaging is a valuable tool for recording in vivo neural activity, but the task of extracting signals of individual neurons is computationally challenging. Bao and colleagues present a U-Net-based method that is both accurate and fast enough to potentially allow real-time processing and closed-loop experiments.