Robust microbial cell segmentation by optical-phase thresholding with minimal processing requirements.

Abstract

High‐throughput imaging with single‐cell resolution has enabled remarkable discoveries in cell physiology and Systems Biology investigations. A common, and often the most challenging step in all such imaging implementations, is the ability to segment multiple images to regions that correspond to individual cells. Here, a robust segmentation strategy for microbial cells using Quantitative Phase Imaging is reported. The proposed method enables a greater than 99% yeast cell segmentation success rate, without any computationally‐intensive, post‐acquisition processing. We also detail how the method can be expanded to bacterial cell segmentation with 98% success rates with substantially reduced processing requirements in comparison to existing methods. We attribute this improved performance to the remarkably uniform background, elimination of cell‐to‐cell and intracellular optical artifacts, and enhanced signal‐to‐background ratio—all innate properties of imaging in the optical‐phase domain. © 2017 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry.