Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 567

The DOI matches its Crossref record.

Simplified Agar Plate Method for Quantifying Viable Bacteria

Open access
Jett, Bradley D., Hatter, Kenneth L., Huycke, Mark M., Gilmore, Michael S.·1997·BioTechniques

Abstract

We have developed a simple and reproducible technique that we have termed “track dilution” for enumerating viable bacteria, which reduces time and materials required compared to standard agar plate colony counting methods. Many microbiological applications require an accurate determination of bacterial numbers prior to inoculation into, or subsequent to their isolation from, experimental models and systems. For example, our experimental infection models require injection of predetermined numbers of viable colony-forming units (cfu) (1,4). The model further requires careful monitoring of bacterial growth rates at specific time points during infection. In our models of rodent gastrointestinal ecology (3), bacterial concentration must be determined from extraordinarily large numbers of fecal samples. The most commonly used technique for enumerating bacterial cfu involves serial dilution of samples followed by spreading 50–100 μL of each dilution onto agar media. Subsequent to incubation, colonies are counted and bacterial concentrations in the original sample estimated. This technique, though relatively accurate, has some drawbacks, including time required and a considerable expenditure of disposable plastics and media. To meet criteria for statistical accuracy of bacterial numbers in a given specimen samples are usually plated in triplicate, and cfu counted only from plates yielding between 20 and 200 visible colonies (2). Furthermore, since the actual number of bacteria present in a specimen at the completion of an experiment is unknown, samples must frequently be plated from dilutions ranging from 10-1 to 10-7. The result of such exhaustive measures is that most plated samples will yield either too many colonies to count or no colonies at all. For example, an overnight bacterial broth culture containing 109 cfu/mL, serially diluted 10fold over a range of 10-1 to 10-7 and plated (100 μL per plate) in triplicate, will yield only three agar plates with countable and statistically valid numbers of cfu; the remaining 18 plates must be discarded. To simplify bacterial enumeration and reduce time and material expenditures, we have developed a track-dilution technique whereby six 10-fold serial dilutions of a sample containing an unknown quantity of bacteria are plated onto a single agar plate. We compared track dilution with the standard spreadplate method by: (i) recording time required to process samples, (ii) recording materials expended and (iii) statistically analyzing the data for accuracy and reproducibility. Enterococcus faecalis and Staphylococcus aureus were propagated in brain-heart infusion (BHI) broth (Difco Laboratories, Detroit, MI, USA) overnight at 37°C without aeration. Bacillus subtilis and Escherichia coli DH5α (Life Technologies, Gaithersburg, MD, USA) were propagated in LB overnight at 37°C with aeration. Cultures were serially diluted 10-fold by sequential transfer of 100 μL into 900 μL phosphate-buffered saline (PBS). Experiments were performed in triplicate to allow statistical comparisons between the two techniques. For conventional spread-plate counting, cultures were diluted by a factor of 10-7, from which 100-μL samples were spread onto the surface of prewarmed BHI 1.5% agar plates (100× 15-mm round plates; Fisher Scientific, Pittsburgh, PA, USA) using a sterile bent-glass rod and an inoculating turntable (Fisher Scientific). Plates were incubated upright for ap-

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2144/97234bm22

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 567

Metadata

Authors
Jett, B. D., Hatter, K. L., Huycke, M. M., & Gilmore, M. S.
Venue
BioTechniques
Published
1997-10
Volume
23
Issue
4
Pages
648-650
ISSN
  • 0736-6205 (ISSN-L)
  • 1940-9818
OpenAlex
W1586957091
Cited by
567
References
0
FWCI
3.40
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Simplified Agar Plate Method for Quantifying Viable Bacteria. https://app.cochat.ai/papers/10.2144/97234bm22
The paper
Jett, B. D., Hatter, K. L., Huycke, M. M., & Gilmore, M. S. (1997). Simplified Agar Plate Method for Quantifying Viable Bacteria. BioTechniques. https://doi.org/10.2144/97234bm22

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.