Articles scientifiques

 A Deep Learning approach for time-consistent cell cyclephase prediction from microscopy data
A Deep Learning approach for time-consistent cell cyclephase prediction from microscopy data
Thomas Walter // The cell cycle consists of four phases and impacts most cellular processes. In imaging assays, the cycle phase can be identified using dedicated cell-cycle markers. However, such markers occupy fluorescent channels that may be needed for other reporters. Here, we propose to address this limitation by inferring the phase from a widely used fluorescent reporter: SiR-DNA.