An Algorithm to Automate Yeast Segmentation and Tracking

Abstract

Our understanding of dynamic cellular processes has been greatly enhanced by rapid advances in quantitative fluorescence microscopy. Imaging single cells has emphasized the prevalence of phenomena that can be difficult to infer from population measurements, such as all-or-none cellular decisions, cell-to-cell variability, and oscillations. Examination of… (More)
DOI: 10.1371/journal.pone.0057970

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