Evidence map›Paper›PMID 40901080›Full record

ArticleFrontiers in microbiology2025

Measurement quality metrics to improve absolute microbial cell counting.

Kirsten Parratt, David Newton, Joy Dunkers, Jennifer Dootz, Monique Hunter, Alshae' Logan-Jackson, Laura Pierce, Sumona Sarkar, Stephanie L Servetas, Nancy J Lin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Detergent-based separation of microbes from marine particles.Applied and environmental microbiology · 2025
    Article
  3. 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

10 authors.

Kirsten Parratt *Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, United States.
David Newton *Statistical Engineering Division, National Institute of Standards and Technology, Boulder, CO, United States.
Joy DunkersBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, United States.
Jennifer DootzBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, United States.
Monique HunterBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, United States.
Alshae' Logan-JacksonBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, United States.
Laura PierceBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, United States.
Sumona SarkarBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, United States.
Stephanie L ServetasBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, United States.
Nancy J LinBiosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Total and viable microbial cell counts are increasingly important for applications including live biotherapeutic products, food safety, and probiotics. In microbiology, cells are quantified using methods such as colony forming unit (CFU), flow cytometry, and polymerase chain reaction (PCR), but different methods measure different aspects of the cells (measurands), and results may not be directly comparable across methods. In the absence of a ground-truth reference material for cell count, one cannot quantify the accuracy of any cell counting method, which limits method performance assessments and comparisons. Herein, a modified analysis of cell counting methods based on the ISO 20391-2:2019 standard was developed and demonstrated for microbial cell samples diluted over a log-scale range of concentrations.

Indexed as

absolute cell countCFUfluorescence flow cytometryimpedance flow cytometrymeasurement quality metricsmicrobial cell viabilityproportionality

Identifiers

PMID40901080
PMCPMC12401475

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.