Abstract

Bacteria employ diverse motility patterns in traversing complex three-dimensional (3D) natural habitats. 2D microscopy misses crucial features of 3D behaviour, but the applicability of existing 3D tracking techniques is constrained by their performance or ease of use. Here we present a simple, broadly applicable, high-throughput 3D bacterial tracking method for use in standard phase contrast microscopy. Bacteria are localized at micron-scale resolution over a range of 350 × 300 × 200 μm by maximizing image cross-correlations between their observed diffraction patterns and a reference library. We demonstrate the applicability of our technique to a range of bacterial species and exploit its high throughput to expose hidden contributions of bacterial individuality to population-level variability in motile behaviour. The simplicity of this powerful new tool for bacterial motility research renders 3D tracking accessible to a wider community and paves the way for investigations of bacterial motility in complex 3D environments.

Highlights

  • Background correctionTo remove unwanted background features, we adopt a median-based correction technique

  • We demonstrate the power of our approach by harnessing its throughput, range and precision to reveal substantial and hitherto unrecognized contributions of cell individuality to populationlevel variability in two canonical examples of bacterial motility: (i) the run-tumble behaviour of E. coli, and (ii) the run-reverseflick behaviour of V. alginolyticus

  • Our result suggests that individuals might undergo a systematic shift in motility patterns during their life cycle as they elongate between cell divisions

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Summary

Introduction

Background correctionTo remove unwanted background features, we adopt a median-based correction technique. We assess the spatial resolution of our technique by determining the root mean square (r.m.s.) localization error for tracked z stacks of immobilized glass beads and E. coli bacteria (Supplementary Figs 1 and 2, see Methods for details).

Results
Conclusion
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