Evidence map›Paper›PMID 38958764›Full record

ArticleApplied microbiology and biotechnology2024

Identifying antibiotic-resistant strains via cell sorting and elastic-light-scatter phenotyping.

Sharath Narayana Iyengar, Brianna Dowden, Kathy Ragheb, Valery Patsekin, Bartek Rajwa, Euiwon Bae, J Paul Robinson

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Detection of Single Cell Contamination ofFood safety (Tokyo, Japan) · 2025
    Article
  2. 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

7 authors.

Sharath Narayana IyengarDepartment of Basic Medical Sciences, Purdue University, West Lafayette, IN, 47907, USA.ORCID http://orcid.org/0000-0001-5348-3526
Brianna DowdenDepartment of Basic Medical Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Kathy RaghebDepartment of Basic Medical Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Valery PatsekinDepartment of Basic Medical Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Bartek RajwaBindley Bioscience Center, Purdue University, West Lafayette, IN, 47907, USA.
Euiwon BaeSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
J Paul RobinsonDepartment of Basic Medical Sciences, Purdue University, West Lafayette, IN, 47907, USA. wombat@purdue.edu.

Funding

U.S. Department of Agriculture 59-8072-1-002
6 · The paper itself

Abstract

The proliferation and dissemination of antimicrobial-resistant bacteria is an increasingly global challenge and is attributed mainly to the excessive or improper use of antibiotics. Currently, the gold-standard phenotypic methodology for detecting resistant strains is agar plating, which is a time-consuming process that involves multiple subculturing steps. Genotypic analysis techniques are fast, but they require pure starting samples and cannot differentiate between viable and non-viable organisms. Thus, there is a need to develop a better method to identify and prevent the spread of antimicrobial resistance. This work presents a novel method for detecting and identifying antibiotic-resistant strains by combining a cell sorter for bacterial detection and an elastic-light-scattering method for bacterial classification. The cell sorter was equipped with safety mechanisms for handling pathogenic organisms and enabled precise placement of individual bacteria onto an agar plate. The patterning was performed on an antibiotic-gradient plate, where the growth of colonies in sections with high antibiotic concentrations confirmed the presence of a resistant strain. The antibiotic-gradient plate was also tested with an elastic-light-scattering device where each colony's unique colony scatter pattern was recorded and classified using machine learning for rapid identification of bacteria. Sorting and patterning bacteria on an antibiotic-gradient plate using a cell sorter reduced the number of subculturing steps and allowed direct qualitative binary detection of resistant strains. Elastic-light-scattering technology is a rapid, label-free, and non-destructive method that permits instantaneous classification of pathogenic strains based on the unique bacterial colony scatter pattern. KEY POINTS: • Individual bacteria cells are placed on gradient agar plates by a cell sorter • Laser-light scatter patterns are used to recognize antibiotic-resistant organisms • Scatter patterns formed by colonies correspond to AMR-associated phenotypes.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialPhenotypeBacteriaFlow CytometryLightMicrobial Sensitivity TestsAnti-Bacterial AgentsAMRBacteria sortingBigfootElastic light scatterFlow cytometryMachine learningMRSA

Identifiers

PMID38958764
PMCPMC11222266

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Registered trials

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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.