Evidence map›Paper›PMID 30702730›Full record

ArticleThe Analyst2019

Application of metasurface-enhanced infra-red spectroscopy to distinguish between normal and cancerous cell types.

G Kelp, N Arju, A Lee, E Esquivel, R Delgado, Y Yu, S Dutta-Gupta, K Sokolov, G Shvets

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Analyst, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Metasurface-Enhanced Mid-Infrared Spectrochemical Imaging of Tissues.Advanced materials (Deerfield Beach, Fla.) · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Fourier Transform Infrared Spectroscopy in Oral Cancer Diagnosis.International journal of molecular sciences · 2021
    Review
  10. 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

9 authors.

G KelpDepartment of Physics, University of Texas at Austin, Austin, Texas 78712, USA and School of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA. gshvets@cornell.edu.ORCID http://orcid.org/0000-0002-1294-8507
N ArjuDepartment of Physics, University of Texas at Austin, Austin, Texas 78712, USA.
A LeeDepartment of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA and Department of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA.
E EsquivelDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA.
R DelgadoSchool of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA. gshvets@cornell.edu.ORCID http://orcid.org/0000-0002-0831-8924
Y YuSchool of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA. gshvets@cornell.edu.
S Dutta-GuptaSchool of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA. gshvets@cornell.edu and Department of Materials Science and Metallurgical Engineering, Indian Institute of Technology Hyderabad, Hyderabad, Telangana 502285, India.ORCID http://orcid.org/0000-0001-5680-3847
K SokolovDepartment of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA and Department of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA.ORCID http://orcid.org/0000-0002-0198-2005
G ShvetsSchool of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA. gshvets@cornell.edu.ORCID http://orcid.org/0000-0001-8542-6753

Funding

Electrically-connected plasmonic metamaterials for capture and detection of CTCR21CA173663 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI SHVETS, GENNADY · 2013 to 2014
$339k
NCI NIH HHS R21 CA173663
6 · The paper itself

Abstract

Fourier transform infrared (FTIR) spectra of biological cells can reveal clinically important information about cells' composition, including their normal or cancerous status. The recently emerged diagnostic technique of spectral cytopathology (SCP) combines FTIR with multivariate statistical analysis to detect cell abnormalities, differentiate between cell types, and monitor disease progression. We demonstrate a new variant of SCP, a metasurface-enhanced infrared reflection spectroscopic cytopathology (MEIRSC) that utilises judiciously designed plasmonic metasurfaces to localize and enhance the evanescent field near the cell's membrane, and to carry out spectroscopic interrogations of the cells attached to the metasurface using reflected infrared light. Our findings indicate that the MEIRSC approach enables us to differentiate between normal and cancerous human colon cells. The sensitivity of MEIRSC is such that a very small (about 50 nm deep) portion of the cell can yield valuable diagnostic information.

Indexed as

Cell Line, TumorColonColonic NeoplasmsHumansMicroscopyPrincipal Component AnalysisSpectrophotometry, Infrared

Identifiers

PMID30702730
PMCPMC6437688

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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.