Evidence map›Paper›PMID 29969556›Full record

ArticleAnalytical chemistry2018

Simple and Precise Counting of Viable Bacteria by Resazurin-Amplified Picoarray Detection.

Kuangwen Hsieh, Helena C Zec, Liben Chen, Aniruddha M Kaushik, Kathleen E Mach, Joseph C Liao, Tza-Huei Wang

Abstract read
In one paragraph

Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. A digital droplet microarray for measuring tolerance to antibiotics.bioRxiv : the preprint server for biology · 2026
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  11. Multiplex Digital Methylation-Specific PCR for Noninvasive Screening of Lung Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  12. Article
  13. [Application of Droplet-Based Microfluidics in Microbial Research].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023
    Review
  14. 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

7 authors.

Kuangwen HsiehDepartment of Mechanical Engineering , Johns Hopkins University , Baltimore , Maryland 21218 , United States.ORCID 0000-0003-3730-4406
Helena C ZecDepartment of Biomedical Engineering , Johns Hopkins School of Medicine , Baltimore , Maryland 21205 , United States.
Liben ChenDepartment of Mechanical Engineering , Johns Hopkins University , Baltimore , Maryland 21218 , United States.
Aniruddha M KaushikDepartment of Mechanical Engineering , Johns Hopkins University , Baltimore , Maryland 21218 , United States.
Kathleen E MachDepartment of Urology , Stanford University School of Medicine , Stanford , California 94305 , United States.
Joseph C LiaoDepartment of Urology , Stanford University School of Medicine , Stanford , California 94305 , United States.
Tza-Huei WangDepartment of Mechanical Engineering , Johns Hopkins University , Baltimore , Maryland 21218 , United States.

Funding

A Droplet-based single cell platform for pathogen identification and ASTR01AI117032 · NIAID · JOHNS HOPKINS UNIVERSITY · PI LIAO, JOSEPH C, WANG, TZA-HUEI JEFF · 2015 to 2019
$5.7M
A "Culture" Shift: Integrated Bacterial Screening and Antibacterial Susceptibility Test on Microfluidic Digital Array for Bloodstream InfectionsR01AI137272 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF, YANG, SAMUEL · 2018 to 2022
$3.6M
NIAID NIH HHS R01 AI117032NIAID NIH HHS R01 AI137272
6 · The paper itself

Abstract

Simple, fast, and precise counting of viable bacteria is fundamental to a variety of microbiological applications such as food quality monitoring and clinical diagnosis. To this end, agar plating, microscopy, and emerging microfluidic devices for single bacteria detection have provided useful means for counting viable bacteria, but they also have their limitations ranging from complexity, time, and inaccuracy. We present herein our new method RAPiD (Resazurin-Amplified Picoarray Detection) for addressing this important problem. In RAPiD, we employ vacuum-assisted sample loading and oil-driven sample digitization to stochastically confine single bacteria in Picoarray, a microfluidic device with picoliter-sized isolation chambers (picochambers), in <30 s with only a few minutes of hands-on time. We add AlamarBlue, a resazurin-based fluorescent dye for bacterial growth, in our assay to accelerate the detection of "microcolonies" proliferated from single bacteria within picochambers. Detecting fluorescence in picochambers as an amplified surrogate for bacterial cells allows us to count hundreds of microcolonies with a single image taken via wide-field fluorescence microscopy. We have also expanded our method to practically test multiple titrations from a single bacterial sample in parallel. Using this expanded "multi-RAPiD" strategy, we can quantify viable cells in E. coli and S. aureus samples with precision in ∼3 h, illustrating RAPiD as a promising new method for counting viable bacteria for microbiological applications.

Indexed as

Lab-On-A-Chip DevicesMicrobial ViabilityColoring AgentsEquipment DesignEscherichia coliEscherichia coli InfectionsHumansIndicators and ReagentsOptical ImagingOxazinesStaphylococcal InfectionsStaphylococcus aureusTime FactorsXanthenesColoring AgentsIndicators and ReagentsOxazinesresazurinXanthenes

Identifiers

PMID29969556
PMCPMC6372093

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.