N. Hashemi

Partaker: deep-learning-based single-cell-resolution analysis of multi-dimensional, long-term, microfluidic-based time-lapse microscopy data

Abstract Motivation Deep-learning segmentation models for microbial time-lapse fluorescence microscopy already exist, but they are often difficult to use consistently across experiments and are not packaged with unified workflows for combining models, quantifying multi-channel fluorescence, and scaling analyses to larg...