Evidence map›Paper›PMID 29770353›Full record

ArticleBio-protocol2018

Quantification of Bacterial Twitching Motility in Dense Colonies Using Transmitted Light Microscopy and Computational Image Analysis.

Benjamin Smith, Jianfang Li, Matteo Metruccio, Stephanie Wan, David Evans, Suzanne Fleiszig

Abstract read
In one paragraph

Article in Bio-protocol, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Benjamin SmithGraduate Group in Vision Science, University of California, Berkeley, CA, USA.
Jianfang LiSchool of Optometry, University of California, Berkeley, CA, USA.
Matteo MetruccioSchool of Optometry, University of California, Berkeley, CA, USA.
Stephanie WanGraduate Group in Vision Science, University of California, Berkeley, CA, USA.
David EvansSchool of Optometry, University of California, Berkeley, CA, USA.
Suzanne FleiszigGraduate Group in Vision Science, University of California, Berkeley, CA, USA.

Funding

Translational Research Center to Expedite Novel Therapies in Cystic FibrosisP30DK089507 · NIDDK · SEATTLE CHILDREN'S HOSPITAL · PI Christopher Hooper Goss, Lucas R Hoffman · 2010 to 2026
$21.4M
UC Berkeley Vision Science COREP30EY003176 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI RICHARD H KRAMER · 1985 to 2026
$16.4M
SIGNIFICANCE OF CORNEAL CELL INVASION BY BACTERIAR01EY011221 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI Suzanne MJ FLEISZIG · 1995 to 2026
$8.4M
Corneal Infection: Role of Bacterial AdaptationR01EY024060 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI FLEISZIG, SUZANNE MJ · 2014 to 2018
$2.0M
NEI NIH HHS P30 EY003176NEI NIH HHS R01 EY011221NEI NIH HHS R01 EY024060NIDDK NIH HHS P30 DK089507
6 · The paper itself

Abstract

A method was developed to allow the quantification and mapping of relative bacterial twitching motility in dense samples, where tracking of individual bacteria was not feasible. In this approach, movies of bacterial films were acquired using differential interference contrast microscopy (DIC), and bacterial motility was then indirectly quantified by the degree to which the bacteria modulated the intensity of light in the field-of-view over time. This allowed the mapping of areas of relatively high and low motility within a single field-of-view, and comparison of the total distribution of motility between samples.

Indexed as

BacteriaComputational image analysisDifferential interference contrast microscopyPseudomonas aeruginosaQuantificationTwitching motility

Identifiers

PMID29770353
PMCPMC5951402

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.