High-resolution measurement of near-surface bacterial swimming reveals bimodal cell-surface separations

Abstract Bacterial interactions with solid boundaries initiate surface sensing, adhesion, and biofilm formation, yet the dynamics of near-wall swimming remain difficult to quantify because the cell–surface gap is challenging to measure with high precision in real time. Here, we introduce a calibrated, exclusion-based fluorescence microscopy method that converts fluorescence intensity into absolute height using in situ microsphere calibration, enabling reconstruction of three-dimensional trajectories of swimming Escherichia coli with tens-of-nanometer axial precision over a ∼400-nm range. We observe that steady-state gap heights are bimodal: cells occupy two preferred separation regimes, a short-range state at ∼67 nm and a long-range hovering state at ∼240 nm. Increasing ionic strength enriches the short-range population and shifts it toward the surface, consistent with electrostatic screening predicted by DLVO theory, whereas the hovering state remains essentially unchanged, indicating a predominantly hydrodynamic origin. We further quantify how gap height covaries with swimming speed and trajectory curvature. This approach reconciles disparate estimates of cell–surface distances reported previously and offers a robust, non-invasive tool for investigating the mechanisms of bacteria–surface interactions.

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Publication Details

Journal
PNAS Nexus
Published
2026-09-17
DOI
https://doi.org/10.1093/pnasnexus/pgag319
Primary Topic
Micro and Nano Robotics
Type
article
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article

High-resolution measurement of near-surface bacterial swimming reveals bimodal cell-surface separations

Junhua Yuan, Rongjing Zhang, Chi Zhang, Hongbo Yu
PNAS Nexus
Micro and Nano Robotics
article

High-resolution measurement of near-surface bacterial swimming reveals bimodal cell-surface separations

Junhua Yuan, Rongjing Zhang, Chi Zhang, Hongbo Yu
article en

Abstract

Abstract Bacterial interactions with solid boundaries initiate surface sensing, adhesion, and biofilm formation, yet the dynamics of near-wall swimming remain difficult to quantify because the cell–surface gap is challenging to measure with high precision in real time. Here, we introduce a calibrated, exclusion-based fluorescence microscopy method that converts fluorescence intensity into absolute height using in situ microsphere calibration, enabling reconstruction of three-dimensional trajectories of swimming Escherichia coli with tens-of-nanometer axial precision over a ∼400-nm range. We observe that steady-state gap heights are bimodal: cells occupy two preferred separation regimes, a short-range state at ∼67 nm and a long-range hovering state at ∼240 nm. Increasing ionic strength enriches the short-range population and shifts it toward the surface, consistent with electrostatic screening predicted by DLVO theory, whereas the hovering state remains essentially unchanged, indicating a predominantly hydrodynamic origin. We further quantify how gap height covaries with swimming speed and trajectory curvature. This approach reconciles disparate estimates of cell–surface distances reported previously and offers a robust, non-invasive tool for investigating the mechanisms of bacteria–surface interactions.

PNAS Nexus
Guizhou University (CN), Hefei National Center for Physical Sciences at Nanoscale (CN)
Life below water
Openalex Percentile: Top 16%
Micro and Nano Robotics
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High-resolution measurement of near-surface bacterial swimming reveals bimodal cell-surface separations — Junhua Yuan, Rongjing Zhang, et al. · PNAS Nexus (2026) | TGRS Research Map | TGRS