Evidence map›Paper›PMID 35042205›Full record

ArticlePhysical biology2022

Tracking the stochastic growth of bacterial populations in microfluidic droplets.

Daniel Taylor, Nia Verdon, Peter Lomax, Rosalind J Allen, Simon Titmuss

Abstract read
In one paragraph

Article in Physical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. The evolution of genetic drift over 50,000 generations.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Habitat fragmentation enhances microbial collective defence.Journal of the Royal Society, Interface · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. A Guide to Biodetection in Droplets.Analytical chemistry · 2024
    Review
  11. Review
  12. Review
  13. Article
  14. 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

5 authors.

Daniel TaylorSchool of Physics and Astronomy, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom.
Nia VerdonSchool of Physics and Astronomy, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom.ORCID 0000-0003-3879-1867
Peter LomaxScottish Microelectronics Centre, Alexander Crum Brown Road, King's Buildings, Edinburgh, EH9 3FF, United Kingdom.
Rosalind J AllenSchool of Physics and Astronomy, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom.ORCID 0000-0003-4110-2962
Simon TitmussSchool of Physics and Astronomy, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh EH9 3FD, United Kingdom.ORCID 0000-0001-9547-5305

Funding

European Research Council 682237
6 · The paper itself

Abstract

Bacterial growth in microfluidic droplets is relevant in biotechnology, in microbial ecology, and in understanding stochastic population dynamics in small populations. However, it has proved challenging to automate measurement of absolute bacterial numbers within droplets, forcing the use of proxy measures for population size. Here we present a microfluidic device and imaging protocol that allows high-resolution imaging of thousands of droplets, such that individual bacteria stay in the focal plane and can be counted automatically. Using this approach, we track the stochastic growth of hundreds of replicate

Indexed as

BacteriaMicrofluidicsbacterial growthmicrofluidic dropletsstochastic population dynamics

Identifiers

PMID35042205
PMCPMC7613235

What OpenQuestion holds

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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.