DeLTA (Deep Learning for Time-lapse Analysis) is a deep learning-based image processing pipeline for segmenting and tracking single cells in time-lapse microscopy movies
copied from cf-staging / delta2DeLTA can process movies of rod-shaped bacteria growing in 2D setups such as agarose pads, as well as movies of E. coli cells trapped in a microfluidic device known as a mother machine. The pipeline is centered around two U-Net neural networks that are used for binary segmnetation and tracking cells frame to frame.
