TransientTrack: Advanced Multi-Object Tracking and Classification of Cancer Cells with Transient Fluorescent Signals
TransientTrack is a deep learning method for tracking cells in microscopy videos with fluctuating signals, like those caused by circadian rhythms. It identifies key events such as cell division (mitosis) and cell death (apoptosis) to build complete cell trajectories and lineage information. This allows for detailed analysis of cancer cell dynamics, including drug response.