Evidence map›Paper›PMID 28836761›Full record

ArticleACS nano2017

High-Speed "4D" Computational Microscopy of Bacterial Surface Motility.

Jaime de Anda, Ernest Y Lee, Calvin K Lee, Rachel R Bennett, Xiang Ji, Soheil Soltani, Mark C Harrison, Amy E Baker, Yun Luo, Tom Chou and 4 more

Open access · greenAbstract read
In one paragraph

Article in ACS nano, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. HowmBio · 2024
    Article
  5. Biophysical methods to quantify bacterial behaviors at oil-water interfaces.Journal of industrial microbiology & biotechnology · 2020
    Review
  6. Review
  7. Article
  8. Multigenerational memory and adaptive adhesion in early bacterial biofilm communities.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 3 countries.

Jaime de AndaDepartment of Bioengineering, Department of Chemistry and Biochemistry, and California NanoSystems Institute, University of California Los Angeles , Los Angeles, California 90095-1600, United States.ORCID 0000-0003-2129-0775
Ernest Y LeeDepartment of Bioengineering, Department of Chemistry and Biochemistry, and California NanoSystems Institute, University of California Los Angeles , Los Angeles, California 90095-1600, United States.ORCID 0000-0001-5144-2552
Calvin K LeeDepartment of Bioengineering, Department of Chemistry and Biochemistry, and California NanoSystems Institute, University of California Los Angeles , Los Angeles, California 90095-1600, United States.ORCID 0000-0001-6789-0317
Rachel R BennettDepartment of Physics, University of Pennsylvania , Philadelphia, Pennsylvania 19104, United States.
Xiang JiDepartment of Physics, University of California San Diego , La Jolla, California 92093, United States.
Soheil SoltaniMork Family Department of Chemical Engineering and Materials Sciences, University of Southern California , Los Angeles, California 90089, United States.
Mark C HarrisonMork Family Department of Chemical Engineering and Materials Sciences, University of Southern California , Los Angeles, California 90089, United States.
Amy E BakerDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth , Hanover, New Hampshire 03755, United States.
Yun LuoDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth , Hanover, New Hampshire 03755, United States.
Tom ChouDepartments of Biomathematics and Mathematics, University of California Los Angeles , Los Angeles, California 90095-1766, United States.
George A O'TooleDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth , Hanover, New Hampshire 03755, United States.
Andrea M ArmaniMork Family Department of Chemical Engineering and Materials Sciences, University of Southern California , Los Angeles, California 90089, United States.ORCID 0000-0001-9890-5104
Ramin GolestanianRudolf Peierls Centre for Theoretical Physics, University of Oxford , Oxford OX1 3NP, U.K.ORCID 0000-0002-3149-4002
Gerard C L WongDepartment of Bioengineering, Department of Chemistry and Biochemistry, and California NanoSystems Institute, University of California Los Angeles , Los Angeles, California 90095-1600, United States.
California NanoSystems Institute · USDartmouth College · USUniversity of Southern California · USCenter for Theoretical Physics · PLUniversity of California, Los Angeles · USUniversity of California San Diego · US

Funding

UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
PSOC@Penn Education and OutreachU54CA193417 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DISCHER, DENNIS E. · 2015 to 2020
$10.5M
Vibrio cholerae c-diGMP signaling: Motile to biofilm transition and transmissionR01AI102584 · NIAID · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI YILDIZ, HAVVA FITNAT · 2013 to 2023
$6.5M
cdiGMP regulation of Biofilm FormationR37AI083256 · NIAID · DARTMOUTH COLLEGE · PI O'TOOLE, GEORGE A. · 2014 to 2023
$4.7M
Systems in Integrative BiologyT32GM008185 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHOU, TOM · 1987 to 2022
$4.6M
NCI NIH HHS U54 CA193417NIAID NIH HHS R01 AI102584NIAID NIH HHS R37 AI083256NIGMS NIH HHS T32 GM008042NIGMS NIH HHS T32 GM008185
6 · The paper itself

Abstract

Bacteria exhibit surface motility modes that play pivotal roles in early-stage biofilm community development, such as type IV pili-driven "twitching" motility and flagellum-driven "spinning" and "swarming" motility. Appendage-driven motility is controlled by molecular motors, and analysis of surface motility behavior is complicated by its inherently 3D nature, the speed of which is too fast for confocal microscopy to capture. Here, we combine electromagnetic field computation and statistical image analysis to generate 3D movies close to a surface at 5 ms time resolution using conventional inverted microscopes. We treat each bacterial cell as a spherocylindrical lens and use finite element modeling to solve Maxwell's equations and compute the diffracted light intensities associated with different angular orientations of the bacterium relative to the surface. By performing cross-correlation calculations between measured 2D microscopy images and a library of computed light intensities, we demonstrate that near-surface 3D movies of Pseudomonas aeruginosa translational and rotational motion are possible at high temporal resolution. Comparison between computational reconstructions and detailed hydrodynamic calculations reveals that P. aeruginosa act like low Reynolds number spinning tops with unstable orbits, driven by a flagellum motor with a torque output of ∼2 pN μm. Interestingly, our analysis reveals that P. aeruginosa can undergo complex flagellum-driven dynamical behavior, including precession, nutation, and an unexpected taxonomy of surface motility mechanisms, including upright-spinning bacteria that diffuse laterally across the surface, and horizontal bacteria that follow helicoidal trajectories and exhibit superdiffusive movements parallel to the surface.

Indexed as

Cell TrackingFinite Element AnalysisFlagellaHydrodynamicsImaging, Three-DimensionalMicroscopyPseudomonas aeruginosaSingle-Cell Analysisbacteria microscopybacteria motilityfinite element methodflagellumhydrodynamic simulationsPseudomonas aeruginosasingle-cell tracking

Identifiers

PMID28836761
PMCPMC5978429
OpenAlexW2745663093

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.