Evidence map›Paper›PMID 29427427›Full record

ArticleApplied and environmental microbiology2018

Effect of Laser Irradiation on Cell Function and Its Implications in Raman Spectroscopy.

Xiaofei Yuan, Yanqing Song, Yizhi Song, Jiabao Xu, Yinhu Wu, Andrew Glidle, Maggie Cusack, Umer Z Ijaz, Jonathan M Cooper, Wei E Huang and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.5field-weighted citation impact, top 3% of its field
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

28 citing papers in PubMed, 63 citations in OpenAlex.

  1. Raman signatures ofFrontiers in microbiology · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Light-field tomographic fluorescence lifetime imaging microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Article
  8. Raman cell sorting for single-cell research.Frontiers in bioengineering and biotechnology · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Petri-plate, bacteria, and laser optical scattering sensor.Frontiers in cellular and infection microbiology · 2022
    Review
  15. Article
  16. Effect of high-power Nd:YAG laser on the growth ofJournal of physical therapy science · 2021
    Article
  17. Review
  18. Article
  19. Article
  20. Review
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

11 authors at 4 institutions in 1 country.

Xiaofei YuanSchool of Engineering, University of Glasgow, Glasgow, United Kingdom.
Yanqing SongSchool of Engineering, University of Glasgow, Glasgow, United Kingdom.
Yizhi SongDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom.
Jiabao XuDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom.
Yinhu WuDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom.
Andrew GlidleSchool of Engineering, University of Glasgow, Glasgow, United Kingdom.
Maggie CusackDivision of Biological & Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, United Kingdom.
Umer Z IjazSchool of Engineering, University of Glasgow, Glasgow, United Kingdom.
Jonathan M CooperSchool of Engineering, University of Glasgow, Glasgow, United Kingdom.
Wei E HuangDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom.
Huabing YinSchool of Engineering, University of Glasgow, Glasgow, United Kingdom huabing.yin@glasgow.ac.uk.
University of Glasgow · GBScience Oxford · GBUniversity of Oxford · GBUniversity of Stirling · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lasers are instrumental in advanced bioimaging and Raman spectroscopy. However, they are also well known for their destructive effects on living organisms, leading to concerns about the adverse effects of laser technologies. To implement Raman spectroscopy for cell analysis and manipulation, such as Raman-activated cell sorting, it is crucial to identify nondestructive conditions for living cells. Here, we evaluated quantitatively the effect of 532-nm laser irradiation on bacterial cell fate and growth at the single-cell level. Using a purpose-built microfluidic platform, we were able to quantify the growth characteristics, i.e., specific growth rates and lag times of individual cells, as well as the survival rate of a population in conjunction with Raman spectroscopy. Representative Gram-negative and Gram-positive species show similar trends in response to a laser irradiation dose. Laser irradiation could compromise the physiological function of cells, and the degree of destruction is both dose and strain dependent, ranging from reduced cell growth to a complete loss of cell metabolic activity and finally to physical disintegration. Gram-positive bacterial cells are more susceptible than Gram-negative bacterial strains to irradiation-induced damage. By directly correlating Raman acquisition with single-cell growth characteristics, we provide evidence of nondestructive characteristics of Raman spectroscopy on individual bacterial cells. However, while strong Raman signals can be obtained without causing cell death, the variety of responses from different strains and from individual cells justifies careful evaluation of Raman acquisition conditions if cell viability is critical.

Indexed as

LasersGram-Negative BacteriaGram-Positive BacteriaMicrofluidicsSpectrum Analysis, RamangrowthlasermicrofluidicsRaman-activated cell sortingRaman spectroscopysingle cellviability

Identifiers

PMID29427427
PMCPMC5881070
OpenAlexW2788500587

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.