Evidence map›Paper›PMID 37336589›Full record

ReviewIntegrative and comparative biology2023

Methods and Measures for Investigating Microscale Motility.

Karen Grace Bondoc-Naumovitz, Hannah Laeverenz-Schlogelhofer, Rebecca N Poon, Alexander K Boggon, Samuel A Bentley, Dario Cortese, Kirsty Y Wan

Open access · hybridAbstract readReview
In one paragraph

Review in Integrative and comparative biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A self-organizing single-cell morphology circuit optimizesbioRxiv : the preprint server for biology · 2025
    Article
  6. Form and function in biological filaments: a physicist's review.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Review
  7. Functional morphology of gliding motility in benthic diatoms.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

7 authors at 1 institution in 1 country.

Karen Grace Bondoc-NaumovitzLiving Systems Institute, University of Exeter, Stocker Road, EX4 4QD, Exeter, UK.ORCID 0000-0002-4336-4133
Hannah Laeverenz-SchlogelhoferLiving Systems Institute, University of Exeter, Stocker Road, EX4 4QD, Exeter, UK.ORCID 0000-0003-2958-5711
Rebecca N PoonLiving Systems Institute, University of Exeter, Stocker Road, EX4 4QD, Exeter, UK.
Alexander K BoggonLiving Systems Institute, University of Exeter, Stocker Road, EX4 4QD, Exeter, UK.ORCID 0000-0001-7602-0882
Samuel A BentleyLiving Systems Institute, University of Exeter, Stocker Road, EX4 4QD, Exeter, UK.
Dario CorteseLiving Systems Institute, University of Exeter, Stocker Road, EX4 4QD, Exeter, UK.
Kirsty Y WanLiving Systems Institute, University of Exeter, Stocker Road, EX4 4QD, Exeter, UK.ORCID 0000-0002-0291-328X
University of Exeter · GB

Funding

European Research Council
6 · The paper itself

Abstract

Motility is an essential factor for an organism's survival and diversification. With the advent of novel single-cell technologies, analytical frameworks, and theoretical methods, we can begin to probe the complex lives of microscopic motile organisms and answer the intertwining biological and physical questions of how these diverse lifeforms navigate their surroundings. Herein, we summarize the main mechanisms of microscale motility and give an overview of different experimental, analytical, and mathematical methods used to study them across different scales encompassing the molecular-, individual-, to population-level. We identify transferable techniques, pressing challenges, and future directions in the field. This review can serve as a starting point for researchers who are interested in exploring and quantifying the movements of organisms in the microscale world.

Indexed as

Cell MovementMovementAnimalsBacteriaModels, TheoreticalSingle-Cell Analysis

Identifiers

PMID37336589
PMCPMC10755196
OpenAlexW4381162178

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.