Evidence map›Paper›PMID 25077667›Full record

ArticleJournal of visualized experiments : JoVE2014

ScanLag: high-throughput quantification of colony growth and lag time.

Irit Levin-Reisman, Ofer Fridman, Nathalie Q Balaban

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Article in Journal of visualized experiments : JoVE, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Iron acquisition strategies of the rock-inhabiting fungusApplied and environmental microbiology · 2026
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  4. Review
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  9. Bacterial persisters: molecular mechanisms and therapeutic development.Signal transduction and targeted therapy · 2024
    Review
  10. Article
  11. Article
  12. The metabolic slowdown caused by the deletion ofAntimicrobial agents and chemotherapy · 2024
    Article
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  15. Article
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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

3 authors.

Irit Levin-ReismanRacah Institute of Physics, The Hebrew University of Jerusalem.
Ofer FridmanRacah Institute of Physics, The Hebrew University of Jerusalem.
Nathalie Q BalabanRacah Institute of Physics, The Hebrew University of Jerusalem; nathalieqb@phys.huji.ac.il.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growth dynamics are fundamental characteristics of microorganisms. Quantifying growth precisely is an important goal in microbiology. Growth dynamics are affected both by the doubling time of the microorganism and by any delay in growth upon transfer from one condition to another, the lag. The ScanLag method enables the characterization of these two independent properties at the level of colonies originating each from a single cell, generating a two-dimensional distribution of the lag time and of the growth time. In ScanLag, measurement of the time it takes for colonies on conventional nutrient agar plates to be detected is automated on an array of commercial scanners controlled by an in house application. Petri dishes are placed on the scanners, and the application acquires images periodically. Automated analysis of colony growth is then done by an application that returns the appearance time and growth rate of each colony. Other parameters, such as the shape, texture and color of the colony, can be extracted for multidimensional mapping of sub-populations of cells. Finally, the method enables the retrieval of rare variants with specific growth phenotypes for further characterization. The technique could be applied in bacteriology for the identification of long lag that can cause persistence to antibiotics, as well as a general low cost technique for phenotypic screens.

Indexed as

Bacteriological TechniquesEscherichia coliHigh-Throughput Screening Assays

Identifiers

PMID25077667
PMCPMC4215631

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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.